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Python for Finance Cookbook – Second Edition
AI Assistant: Features our revolutionary AI Assistant technology which lets you interact with our Books to enhance your learning
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Python for Finance Cookbook – Second Edition
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Dec 2022
Full star icon Full star icon Full star icon Full star icon Half star icon 4.9 (37)
Paperback 740 pages
Full star icon Full star icon Full star icon Full star icon Half star icon 4.9 (37)
Over 80 powerful recipes for effective financial data analysis
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Paperback eBook
  • 9781803238838 eBook $27.98
  • 9781803243191 Paperback $49.99
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Python for Finance Cookbook – Second Edition
Over 80 powerful recipes for effective financial data analysis
Description
Python is one of the most popular programming languages in the financial industry, with a huge collection of accompanying libraries. In this new edition of the Python for Finance Cookbook, you will explore classical quantitative finance approaches to data modeling, such as GARCH, CAPM, factor models, as well as modern machine learning and deep learning solutions. You will use popular Python libraries that, in a few lines of code, provide the means to quickly process, analyze, and draw conclusions from financial data. In this new edition, more emphasis was put on exploratory data analysis to help you visualize and better understand financial data. While doing so, you will also learn how to use Streamlit to create elegant, interactive web applications to present the results of technical analyses. Using the recipes in this book, you will become proficient in financial data analysis, be it for personal or professional projects. You will also understand which potential issues to expect with such analyses and, more importantly, how to overcome them.
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Dec 2022
Full star icon Full star icon Full star icon Full star icon Full star icon 5
740 pages
AI Assistant AI Assistant
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Authors
Author Eryk Lewinson
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Extending Dynamics 365 Finance and Operations Apps with Power Platform
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Extending Dynamics 365 Finance and Operations Apps with Power Platform
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Jan 2024
Full star icon Full star icon Full star icon Full star icon Full star icon 5 (14)
Paperback 274 pages
Full star icon Full star icon Full star icon Full star icon Full star icon 5 (14)
Integrate Power Platform solutions to maximize the efficiency of your Finance & Operations projects
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Paperback eBook
  • 9781801813402 eBook $27.98
  • 9781801811590 Paperback $36.99
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$36.99 $49.99
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Extending Dynamics 365 Finance and Operations Apps with Power Platform
Integrate Power Platform solutions to maximize the efficiency of your Finance & Operations projects
Description
Uncover the synergy between Microsoft Power Platform and its integration with Dynamics 365 Finance & Operations (F&O) with this essential guide to implementing low-code and no-code concepts to not only extend and enhance F&O but also improve maintainability and speed up development. Systematically exploring Power Platform, this book covers topics such as Dataverse, Power Automate, Power Apps, and Power BI using real-world scenarios in Dynamics 365 F&O to offer practical insights. You’ll then master the integration of F&O and Power Platform using dual-write and virtual tables, and delve into process automation with Power Automate. The book further deepens your proficiency in Power Apps by showing you how they can be used to extend the F&O functionality and incorporate artificial intelligence using AI Builder and its pre-trained AI models ready to use with your data. Throughout, you’ll gain a solid understanding of the diverse components of Power Platform and how they can transform your Dynamics 365 F&O experience. By the end of this book, you’ll be equipped with the skills and knowledge necessary to fully harness the immense potential of Power Platform and Dynamics 365 F&O.
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Jan 2024 274 pages
AI Assistant AI Assistant
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Author Adrià Ariste Santacreu
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Implementing Microsoft Dynamics 365 for Finance and Operations Apps
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Implementing Microsoft Dynamics 365 for Finance and Operations Apps
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Mar 2020
Full star icon Full star icon Full star icon Full star icon Half star icon 4.1 (8)
Paperback 528 pages
Full star icon Full star icon Full star icon Full star icon Half star icon 4.1 (8)
Learn best practices, architecture, tools, techniques, and more
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Paperback eBook
  • 9781789954142 eBook $24.99
  • 9781789950847 Paperback $48.99
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Implementing Microsoft Dynamics 365 for Finance and Operations Apps
Learn best practices, architecture, tools, techniques, and more
Description
Microsoft Dynamics 365 for Finance and Operations is a modern cloud ERP platform that adopts a mobile-first approach suitable for medium-to-large enterprises. This book covers the entire implementation process of Dynamics 365 Finance and Operation Apps, including post-implementation and business transformation. The updated second edition starts with an introduction to Microsoft Dynamics 365, describing different apps and tools under it. You will learn about different implementation methodologies such as Waterfall and Agile, for your projects. We will cover various application components and architectures of Dynamics such as requirements processing, development, reports and analytics, and integration. With the help of tips, techniques, and best practices, you’ll explore strategies for managing configurations and data migrations. As you read further, you’ll discover development tools and processes in Dynamics for building customized solutions in Dynamics. The book will also demonstrate analytics and financial reporting options such as Power BI and Cortana Intelligence. Finally, you’ll learn the importance of testing and explore various automated testing strategies. By the end of this book, you will have gained the necessary knowledge to implement Microsoft business solutions with Dynamics 365 for Finance and Operations Apps.
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Mar 2020 528 pages
AI Assistant AI Assistant
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Authors
Author JJ Yadav
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The Future of Finance with ChatGPT and Power BI
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Dec 2023
Full star icon Full star icon Full star icon Full star icon Half star icon 4.3 (30)
Paperback 406 pages
Full star icon Full star icon Full star icon Full star icon Half star icon 4.3 (30)
Transform your trading, investing, and financial reporting with ChatGPT and Power BI
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  • 9781805121091 eBook $24.99
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$32.99 $44.99
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The Future of Finance with ChatGPT and Power BI
Transform your trading, investing, and financial reporting with ChatGPT and Power BI
Description
In today's rapidly evolving economic landscape, the combination of finance, analytics, and artificial intelligence (AI) heralds a new era of decision-making. Finance and data analytics along with AI can no longer be seen as separate disciplines and professionals have to be comfortable in both in order to be successful. This book combines finance concepts, visualizations through Power BI and the application of AI and ChatGPT to provide a more holistic perspective. After a brief introduction to finance and Power BI, you will begin with Tesla's data-driven financial tactics before moving to John Deere's AgTech strides, all through the lens of AI. Salesforce's adaptation to the AI revolution offers profound insights, while Moderna's navigation through the biotech frontier during the pandemic showcases the agility of AI-focused companies. Learn from Silicon Valley Bank's demise, and prepare for CrowdStrike's defensive maneuvers against cyber threats. With each chapter, you'll gain mastery over new investing ideas, Power BI tools, and integrate ChatGPT into your workflows. This book is an indispensable ally for anyone looking to thrive in the financial sector. By the end of this book, you'll be able to transform your approach to investing and trading by blending AI-driven analysis, data visualization, and real-world applications.
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Dec 2023
Full star icon Full star icon Full star icon Full star icon Empty star icon 4
406 pages
AI Assistant AI Assistant
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Authors
Author Bryant
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Becoming a Dynamics 365 Finance and Supply Chain Solution Architect
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Becoming a Dynamics 365 Finance and Supply Chain Solution Architect
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Jun 2023
Full star icon Full star icon Full star icon Full star icon Half star icon 4.6 (19)
Paperback 270 pages
Full star icon Full star icon Full star icon Full star icon Half star icon 4.6 (19)
Implement industry-grade finance and supply chain solutions for successful enterprise resource planning (ERP)
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  • 9781804618059 eBook $21.99
  • 9781804611494 Paperback $39.99
$21.99 $31.99
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Becoming a Dynamics 365 Finance and Supply Chain Solution Architect
Implement industry-grade finance and supply chain solutions for successful enterprise resource planning (ERP)
Description
Implementing an ERP project is a daunting task, and it can often get derailed due to several reasons, including but not limited to inefficient planning, inadequate resource scoping, insufficient working knowledge of ERP systems, and more. Becoming a Dynamics 365 Finance and Supply Chain Solution Architect helps you understand the intricacies of ERP project implementation for seamless deployment. This comprehensive guide helps you gain a deep understanding of how to implement and optimize robust business applications that meet the evolving needs of organizations. You’ll discover various integration methodologies to integrate different software applications and plan successful data migration seamlessly. By leveraging the author’s expertise, you’ll explore different challenges that can lead to project failure or cost/time overruns, along with customized solutions to maneuver past those issues for a successful outcome. By the end of the book, you’ll be able to identify potential issues that can negatively impact the delivery of the project and make design decisions that will prevent any potential negative impact on the design and functionality of the system at go-live stage.
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Jun 2023 270 pages
AI Assistant AI Assistant
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Authors
Author Brent Dawson
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Mastering Python for Finance
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Mastering Python for Finance
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Apr 2019
Full star icon Full star icon Half star icon Empty star icon Empty star icon 2.9 (8)
Paperback 426 pages
Full star icon Full star icon Half star icon Empty star icon Empty star icon 2.9 (8)
Implement advanced state-of-the-art financial statistical applications using Python
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  • 9781789345278 eBook $20.98
  • 9781789346466 Paperback $43.99
$20.98 $29.99
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Mastering Python for Finance
Implement advanced state-of-the-art financial statistical applications using Python
Description
The second edition of Mastering Python for Finance will guide you through carrying out complex financial calculations practiced in the industry of finance by using next-generation methodologies. You will master the Python ecosystem by leveraging publicly available tools to successfully perform research studies and modeling, and learn to manage risks with the help of advanced examples. You will start by setting up your Jupyter notebook to implement the tasks throughout the book. You will learn to make efficient and powerful data-driven financial decisions using popular libraries such as TensorFlow, Keras, Numpy, SciPy, and scikit-learn. You will also learn how to build financial applications by mastering concepts such as stocks, options, interest rates and their derivatives, and risk analytics using computational methods. With these foundations, you will learn to apply statistical analysis to time series data, and understand how time series data is useful for implementing an event-driven backtesting system and for working with high-frequency data in building an algorithmic trading platform. Finally, you will explore machine learning and deep learning techniques that are applied in finance. By the end of this book, you will be able to apply Python to different paradigms in the financial industry and perform efficient data analysis.
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Apr 2019 426 pages
AI Assistant AI Assistant
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Authors
Author James Ma Weiming
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Quantum Machine Learning and Optimisation in Finance
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Quantum Machine Learning and Optimisation in Finance
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Oct 2022
Full star icon Full star icon Full star icon Full star icon Half star icon 4.6 (19)
Paperback 442 pages
Full star icon Full star icon Full star icon Full star icon Half star icon 4.6 (19)
On the Road to Quantum Advantage
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  • 9781801817875 eBook $28.99
  • 9781801813570 Paperback $59.99
$28.99 $41.99
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Quantum Machine Learning and Optimisation in Finance
On the Road to Quantum Advantage
Description
With recent advances in quantum computing technology, we finally reached the era of Noisy Intermediate-Scale Quantum (NISQ) computing. NISQ-era quantum computers are powerful enough to test quantum computing algorithms and solve hard real-world problems faster than classical hardware. Speedup is so important in financial applications, ranging from analysing huge amounts of customer data to high frequency trading. This is where quantum computing can give you the edge. Quantum Machine Learning and Optimisation in Finance shows you how to create hybrid quantum-classical machine learning and optimisation models that can harness the power of NISQ hardware. This book will take you through the real-world productive applications of quantum computing. The book explores the main quantum computing algorithms implementable on existing NISQ devices and highlights a range of financial applications that can benefit from this new quantum computing paradigm. This book will help you be one of the first in the finance industry to use quantum machine learning models to solve classically hard real-world problems. We may have moved past the point of quantum computing supremacy, but our quest for establishing quantum computing advantage has just begun!
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Oct 2022 442 pages
AI Assistant AI Assistant
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Authors
Author Jacquier Antoine
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eBook $28.99 $41.99
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Extending Microsoft Dynamics 365 Finance and Supply Chain Management Cookbook
AI Assistant: Features our revolutionary AI Assistant technology which lets you interact with our Books to enhance your learning
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Extending Microsoft Dynamics 365 Finance and Supply Chain Management Cookbook
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Mar 2020
Full star icon Full star icon Full star icon Full star icon Full star icon 5 (4)
Paperback 534 pages
Full star icon Full star icon Full star icon Full star icon Full star icon 5 (4)
Create and extend secure and scalable ERP solutions to improve business processes
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  • 9781838647070 eBook $27.98
  • 9781838643812 Paperback $48.99
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Extending Microsoft Dynamics 365 Finance and Supply Chain Management Cookbook
Create and extend secure and scalable ERP solutions to improve business processes
Description
Dynamics 365 Finance and Supply Chain Management is Microsoft’s ERP solution, which can be implemented as a cloud or on-premise solution to facilitate better decision-making with the help of contemporary, scalable ERP system tools. This book is updated with the latest features of Dynamics 365 Finance and Supply Chain Management including Chain of Command (CoC), Acceptance Test Libraries (ATL), and Business Events. The book not only features more than 100 tutorials that allow you to create and extend business solutions, but also addresses specific problems and offers solutions with insights into how they work. This cookbook starts by helping you set up a Azure DevOps project and taking you through the different data types and structures used to create tables. You will then gain an understanding of user interfaces, write extensible code, manage data entities, and even model Dynamics 365 ERP for security. As you advance, you’ll learn how to work with various in-built Dynamics frameworks such as SysOperation, SysTest, and Business Events. Finally, you’ll get to grips with automated build management and workflows for better application state management. By the end of this book, you’ll have become proficient in packaging and deploying end-to-end scalable solutions with Microsoft Dynamics 365 Finance and Supply Chain Management.
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Mar 2020 534 pages
AI Assistant AI Assistant
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Authors
Author Buxton
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Dynamics 365 for Finance and Operations Development Cookbook
AI Assistant: Features our revolutionary AI Assistant technology which lets you interact with our Books to enhance your learning
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Dynamics 365 for Finance and Operations Development Cookbook
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Aug 2017
Full star icon Full star icon Half star icon Empty star icon Empty star icon 2.7 (3)
Paperback 480 pages
Full star icon Full star icon Half star icon Empty star icon Empty star icon 2.7 (3)
Recipes to explore forms, look-ups and different integrations like Power BI and MS Office for your business solutions
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  • 9781786466112 eBook $35.99
  • 9781786468864 Paperback $65.99
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Dynamics 365 for Finance and Operations Development Cookbook
Recipes to explore forms, look-ups and different integrations like Power BI and MS Office for your business solutions
Description
Microsoft Dynamics 365 for Finance and Operations has a lot to offer developers. It allows them to customize and tailor their implementations to meet their organization’s needs. This Development Cookbook will help you manage your company or customer ERP information and operations efficiently. We start off by exploring the concept of data manipulation in Dynamics 365 for Operations. This will also help you build scripts to assist data migration, and show you how to organize data in forms. You will learn how to create custom lookups using Application Object Tree forms and generate them dynamically. We will also show you how you can enhance your application by using advanced form controls, and integrate your system with other external systems. We will help you script and enhance your user interface using UI elements. This book will help you look at application development from a business process perspective, and develop enhanced ERP solutions by learning and implementing the best practices and techniques.
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Aug 2017 480 pages
AI Assistant AI Assistant
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Authors
Author Abhimanyu Singh
Author Agarwal
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eBook $35.99 $51.99
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Python for Finance Cookbook
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Python for Finance Cookbook
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Jan 2020
Full star icon Full star icon Full star icon Full star icon Half star icon 4.2 (6)
Paperback 432 pages
Full star icon Full star icon Full star icon Full star icon Half star icon 4.2 (6)
Over 50 recipes for applying modern Python libraries to financial data analysis
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  • 9781789617320 eBook $20.98
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Python for Finance Cookbook
Over 50 recipes for applying modern Python libraries to financial data analysis
Description
Python is one of the most popular programming languages used in the financial industry, with a huge set of accompanying libraries. In this book, you'll cover different ways of downloading financial data and preparing it for modeling. You'll calculate popular indicators used in technical analysis, such as Bollinger Bands, MACD, RSI, and backtest automatic trading strategies. Next, you'll cover time series analysis and models, such as exponential smoothing, ARIMA, and GARCH (including multivariate specifications), before exploring the popular CAPM and the Fama-French three-factor model. You'll then discover how to optimize asset allocation and use Monte Carlo simulations for tasks such as calculating the price of American options and estimating the Value at Risk (VaR). In later chapters, you'll work through an entire data science project in the financial domain. You'll also learn how to solve the credit card fraud and default problems using advanced classifiers such as random forest, XGBoost, LightGBM, and stacked models. You'll then be able to tune the hyperparameters of the models and handle class imbalance. Finally, you'll focus on learning how to use deep learning (PyTorch) for approaching financial tasks. By the end of this book, you’ll have learned how to effectively analyze financial data using a recipe-based approach.
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Jan 2020 432 pages
AI Assistant AI Assistant
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Author Eryk Lewinson
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Introduction to R for Quantitative Finance
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Introduction to R for Quantitative Finance
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Nov 2013
Full star icon Full star icon Full star icon Half star icon Empty star icon 3.2 (20)
Paperback 164 pages
Full star icon Full star icon Full star icon Half star icon Empty star icon 3.2 (20)
R is a statistical computing language that's ideal for answering quantitative finance questions. This book gives you both theory and practice, all in clear language with stacks of real-world examples. Ideal for R beginners or expert alike.
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  • 9781783280940 eBook $17.99
  • 9781783280933 Paperback $43.99
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Introduction to R for Quantitative Finance
R is a statistical computing language that's ideal for answering quantitative finance questions. This book gives you both theory and practice, all in clear language with stacks of real-world examples. Ideal for R beginners or expert alike.
Description
Introduction to R for Quantitative Finance will show you how to solve real-world quantitative fi nance problems using the statistical computing language R. The book covers diverse topics ranging from time series analysis to fi nancial networks. Each chapter briefl y presents the theory behind specific concepts and deals with solving a diverse range of problems using R with the help of practical examples.This book will be your guide on how to use and master R in order to solve quantitative finance problems. This book covers the essentials of quantitative finance, taking you through a number of clear and practical examples in R that will not only help you to understand the theory, but how to effectively deal with your own real-life problems.Starting with time series analysis, you will also learn how to optimize portfolios and how asset pricing models work. The book then covers fixed income securities and derivatives such as credit risk management.
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Nov 2013 164 pages
AI Assistant AI Assistant
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Implementing Microsoft Dynamics 365 for Finance and Operations
AI Assistant: Features our revolutionary AI Assistant technology which lets you interact with our Books to enhance your learning
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Implementing Microsoft Dynamics 365 for Finance and Operations
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Sep 2017
Full star icon Full star icon Half star icon Empty star icon Empty star icon 2.8 (6)
Paperback 562 pages
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Implement methodology, integration, data migration, and more
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  • 9781787121010 eBook $35.99
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Implementing Microsoft Dynamics 365 for Finance and Operations
Implement methodology, integration, data migration, and more
Description
Microsoft Dynamics 365 for Finance and Operations, Enterprise edition, is a modern, cloud-first, mobile-first, ERP solution suitable for medium and large enterprise customers. This book will guide you through the entire life cycle of a implementation, helping you avoid common pitfalls while increasing your efficiency and effectiveness at every stage of the project. Starting with the foundations, the book introduces the Microsoft Dynamics 365 offerings, plans, and products. You will be taken through the various methodologies, architectures, and deployments so you can select, implement, and maintain Microsoft Dynamics 365 for Finance and Operations, Enterprise edition. You will delve in-depth into the various phases of implementation: project management, analysis, configuration, data migration, design, development, using Power BI, machine learning, Cortana analytics for intelligence, testing, training, and finally deployment, support cycles, and upgrading. This book focuses on providing you with information about the product and the various concepts and tools, along with real-life examples from the field and guidance that will empower you to execute and implement Dynamics 365 for Finance and Operations, Enterprise edition.
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Sep 2017 562 pages
AI Assistant AI Assistant
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Authors
Author Mohta
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Mastering Pandas for Finance
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Mastering Pandas for Finance
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May 2015
Full star icon Full star icon Full star icon Half star icon Empty star icon 3.7 (6)
Paperback 298 pages
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Master pandas, an open source Python Data Analysis Library, for financial data analysis
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  • 9781783985111 eBook $27.98
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Mastering Pandas for Finance
Master pandas, an open source Python Data Analysis Library, for financial data analysis
Description
If you are interested in quantitative finance, financial modeling, and trading, or simply want to learn how Python and pandas can be applied to finance, then this book is ideal for you. Some knowledge of Python and pandas is assumed. Interest in financial concepts is helpful, but no prior knowledge is expected.
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May 2015 298 pages
AI Assistant AI Assistant
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Author Michael Heydt
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Learning Quantitative Finance with R
AI Assistant: Features our revolutionary AI Assistant technology which lets you interact with our Books to enhance your learning
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Learning Quantitative Finance with R
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Mar 2017
Full star icon Full star icon Full star icon Half star icon Empty star icon 3.7 (3)
Paperback 284 pages
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Implement machine learning, time-series analysis, algorithmic trading and more
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  • 9781786465252 eBook $29.99
  • 9781786462411 Paperback $54.99
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Learning Quantitative Finance with R
Implement machine learning, time-series analysis, algorithmic trading and more
Description
The role of a quantitative analyst is very challenging, yet lucrative, so there is a lot of competition for the role in top-tier organizations and investment banks. This book is your go-to resource if you want to equip yourself with the skills required to tackle any real-world problem in quantitative finance using the popular R programming language. You'll start by getting an understanding of the basics of R and its relevance in the field of quantitative finance. Once you've built this foundation, we'll dive into the practicalities of building financial models in R. This will help you have a fair understanding of the topics as well as their implementation, as the authors have presented some use cases along with examples that are easy to understand and correlate. We'll also look at risk management and optimization techniques for algorithmic trading. Finally, the book will explain some advanced concepts, such as trading using machine learning, optimizations, exotic options, and hedging. By the end of this book, you will have a firm grasp of the techniques required to implement basic quantitative finance models in R.
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Mar 2017 284 pages
AI Assistant AI Assistant
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Authors
Author Jeet
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Python for Finance
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Python for Finance
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Apr 2014
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Paperback 408 pages
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If your interest is finance and trading, then using Python to build a financial calculator makes absolute sense. As does this book which is a hands-on guide covering everything from option theory to time series.
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Python for Finance
If your interest is finance and trading, then using Python to build a financial calculator makes absolute sense. As does this book which is a hands-on guide covering everything from option theory to time series.
Description
A hands-on guide with easy-to-follow examples to help you learn about option theory, quantitative finance, financial modeling, and time series using Python. Python for Finance is perfect for graduate students, practitioners, and application developers who wish to learn how to utilize Python to handle their financial needs. Basic knowledge of Python will be helpful but knowledge of programming is necessary.
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Apr 2014 408 pages
AI Assistant AI Assistant
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Author Yuxing Yan
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Mastering Python for Finance
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Apr 2015
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Paperback 340 pages
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Understand, design, and implement state-of-the-art mathematical and statistical applications used in finance with Python
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  • 9781784397876 eBook $29.99
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Mastering Python for Finance
Understand, design, and implement state-of-the-art mathematical and statistical applications used in finance with Python
Description
If you are an undergraduate or graduate student, a beginner to algorithmic development and research, or a software developer in the financial industry who is interested in using Python for quantitative methods in finance, this is the book for you. It would be helpful to have a bit of familiarity with basic Python usage, but no prior experience is required.
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Apr 2015 340 pages
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Python for Finance
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Python for Finance
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Jun 2017
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Paperback 586 pages
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Apply powerful finance models and quantitative analysis with Python
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  • 9781787125025 eBook $29.99
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Python for Finance
Apply powerful finance models and quantitative analysis with Python
Description
This book uses Python as its computational tool. Since Python is free, any school or organization can download and use it. This book is organized according to various finance subjects. In other words, the first edition focuses more on Python, while the second edition is truly trying to apply Python to finance. The book starts by explaining topics exclusively related to Python. Then we deal with critical parts of Python, explaining concepts such as time value of money stock and bond evaluations, capital asset pricing model, multi-factor models, time series analysis, portfolio theory, options and futures. This book will help us to learn or review the basics of quantitative finance and apply Python to solve various problems, such as estimating IBM’s market risk, running a Fama-French 3-factor, 5-factor, or Fama-French-Carhart 4 factor model, estimating the VaR of a 5-stock portfolio, estimating the optimal portfolio, and constructing the efficient frontier for a 20-stock portfolio with real-world stock, and with Monte Carlo Simulation. Later, we will also learn how to replicate the famous Black-Scholes-Merton option model and how to price exotic options such as the average price call option.
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Jun 2017
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586 pages
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Blockchain Development for Finance Projects
AI Assistant: Features our revolutionary AI Assistant technology which lets you interact with our Books to enhance your learning
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Blockchain Development for Finance Projects
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Jan 2020
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Paperback 530 pages
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Building next-generation financial applications using Ethereum, Hyperledger Fabric, and Stellar
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  • 9781838822125 eBook $24.99
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Blockchain Development for Finance Projects
Building next-generation financial applications using Ethereum, Hyperledger Fabric, and Stellar
Description
Blockchain technology will continue to play an integral role in the banking and finance sector in the coming years. It will enable enterprises to build transparent and secure business processes. Experts estimate annual savings of up to 20 billion dollars from this technology. This book will help you build financial apps using blockchain, guiding you through enhancing popular products and services in the banking and finance sector. The book starts by explaining the essential concepts of blockchain, and the impact of blockchain technology on the BFSI sector. Next, you'll delve into re-designing existing banking processes and building new financial apps using blockchain. To accomplish this, you'll work through eight blockchain projects. By demonstrating the entire process, the book helps you understand everything from setting up the environment and building frontend portals to system integration and testing apps. You will gain hands-on experience with the Ethereum, Hyperledger Fabric, and Stellar to develop private and public decentralized apps. Finally, you'll learn how to use ancillary platforms and frameworks such as IPFS, Truffle OpenZeppelin, and MetaMask. By the end of this blockchain book, you'll have an in-depth understanding of how to leverage distributed ledgers and smart contracts for financial use cases.
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Jan 2020 530 pages
AI Assistant AI Assistant
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Authors
Author Roy
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F# for Quantitative Finance
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F# for Quantitative Finance
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Dec 2013
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Paperback 286 pages
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An introductory guide to utilizing F# for quantitative finance leveraging the .NET platform
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  • 9781782164630 eBook $19.99
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F# for Quantitative Finance
An introductory guide to utilizing F# for quantitative finance leveraging the .NET platform
Description
F# is a functional programming language that allows you to write simple code for complex problems. Currently, it is most commonly used in the financial sector. Quantitative finance makes heavy use of mathematics to model various parts of finance in the real world. If you are interested in using F# for your day-to-day work or research in quantitative finance, this book is a must-have.This book will cover everything you need to know about using functional programming for quantitative finance. Using a functional programming language will enable you to concentrate more on the problem itself rather than implementation details. Tutorials and snippets are summarized into an automated trading system throughout the book.This book will introduce you to F#, using Visual Studio, and provide examples with functional programming and finance combined. The book also covers topics such as downloading, visualizing and calculating statistics from data. F# is a first class programming language for the financial domain.
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Dec 2013 286 pages
AI Assistant AI Assistant
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Author Johan Astborg
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Mastering R for Quantitative Finance
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Mastering R for Quantitative Finance
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Mar 2015
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Paperback 362 pages
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Use R to optimize your trading strategy and build up your own risk management system
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  • 9781783552085 eBook $29.99
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Mastering R for Quantitative Finance
Use R to optimize your trading strategy and build up your own risk management system
Description
This book is intended for those who want to learn how to use R's capabilities to build models in quantitative finance at a more advanced level. If you wish to perfectly take up the rhythm of the chapters, you need to be at an intermediate level in quantitative finance and you also need to have a reasonable knowledge of R.
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Mar 2015 362 pages
AI Assistant AI Assistant
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Hands-On Cybersecurity for Finance
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Hands-On Cybersecurity for Finance
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Jan 2019
Paperback 308 pages
Identify vulnerabilities and secure your financial services from security breaches
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  • 9781788831734 eBook $24.99
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Hands-On Cybersecurity for Finance
Identify vulnerabilities and secure your financial services from security breaches
Description
Organizations have always been a target of cybercrime. Hands-On Cybersecurity for Finance teaches you how to successfully defend your system against common cyber threats, making sure your financial services are a step ahead in terms of security. The book begins by providing an overall description of cybersecurity, guiding you through some of the most important services and technologies currently at risk from cyber threats. Once you have familiarized yourself with the topic, you will explore specific technologies and threats based on case studies and real-life scenarios. As you progress through the chapters, you will discover vulnerabilities and bugs (including the human risk factor), gaining an expert-level view of the most recent threats. You'll then explore information on how you can achieve data and infrastructure protection. In the concluding chapters, you will cover recent and significant updates to procedures and configurations, accompanied by important details related to cybersecurity research and development in IT-based financial services. By the end of the book, you will have gained a basic understanding of the future of information security and will be able to protect financial services and their related infrastructures.
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Jan 2019 308 pages
AI Assistant AI Assistant
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Author Dr. Erdal Ozkaya
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Machine Learning for Finance
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Machine Learning for Finance
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May 2019
Full star icon Full star icon Full star icon Full star icon Half star icon 4.1 (59)
Paperback 456 pages
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Principles and practice for financial insiders
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  • 9781789134698 eBook $20.98
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Machine Learning for Finance
Principles and practice for financial insiders
Description
Machine Learning for Finance explores new advances in machine learning and shows how they can be applied across the financial sector, including insurance, transactions, and lending. This book explains the concepts and algorithms behind the main machine learning techniques and provides example Python code for implementing the models yourself. The book is based on Jannes Klaas’ experience of running machine learning training courses for financial professionals. Rather than providing ready-made financial algorithms, the book focuses on advanced machine learning concepts and ideas that can be applied in a wide variety of ways. The book systematically explains how machine learning works on structured data, text, images, and time series. You'll cover generative adversarial learning, reinforcement learning, debugging, and launching machine learning products. Later chapters will discuss how to fight bias in machine learning. The book ends with an exploration of Bayesian inference and probabilistic programming.
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May 2019 456 pages
AI Assistant AI Assistant
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Author James Le
Author Jannes Klaas
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Managing Data Integrity for Finance
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Managing Data Integrity for Finance
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Jan 2024
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Paperback 434 pages
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Discover practical data quality management strategies for finance analysts and data professionals
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  • 9781837636099 eBook $27.98
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Managing Data Integrity for Finance
Discover practical data quality management strategies for finance analysts and data professionals
Description
Data integrity management plays a critical role in the success and effectiveness of organizations trying to use financial and operational data to make business decisions. Unfortunately, there is a big gap between the analysis and management of finance data along with the proper implementation of complex data systems across various organizations. The first part of this book covers the important concepts for data quality and data integrity relevant to finance, data, and tech professionals. The second part then focuses on having you use several data tools and platforms to manage and resolve data integrity issues on financial data. The last part of this the book covers intermediate and advanced solutions, including managed cloud-based ledger databases, database locks, and artificial intelligence, to manage the integrity of financial data in systems and databases. After finishing this hands-on book, you will be able to solve various data integrity issues experienced by organizations globally.
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Jan 2024 434 pages
AI Assistant AI Assistant
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Author Jane Sarah Lat
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Quantum Machine Learning and Optimisation in Finance
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Quantum Machine Learning and Optimisation in Finance
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Dec 2024
Paperback 494 pages
Drive financial innovation with quantum-powered algorithms and optimisation strategies
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Quantum Machine Learning and Optimisation in Finance
Drive financial innovation with quantum-powered algorithms and optimisation strategies
Description
As quantum machine learning (QML) continues to evolve, many professionals struggle to apply its powerful algorithms to real-world problems using noisy intermediate-scale quantum (NISQ) hardware. This book bridges that gap by focusing on hands-on QML applications tailored to NISQ systems, moving beyond the traditional textbook approaches that explore standard algorithms like Shor's and Grover's, which lie beyond current NISQ capabilities. You’ll get to grips with major QML algorithms that have been widely studied for their transformative potential in finance and learn hybrid quantum-classical computational protocols, the most effective way to leverage quantum and classical computing systems together. The authors, Antoine Jacquier, a distinguished researcher in quantum computing and stochastic analysis, and Oleksiy Kondratyev, a Quant of the Year awardee with over 20 years in quantitative finance, offer a hardware-agnostic perspective. They present a balanced view of both analog and digital quantum computers, delving into the fundamental characteristics of the algorithms while highlighting the practical limitations of today’s quantum hardware. By the end of this quantum book, you’ll have a deeper understanding of the significance of quantum computing in finance and the skills needed to apply QML to solve complex challenges, driving innovation in your work.
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Dec 2024 494 pages
AI Assistant AI Assistant Coming Soon Coming Soon
AI Assistant: Features our revolutionary AI Assistant technology which lets you interact with our Books to enhance your learning
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Author Antoine Jacquier
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Qlikview for Finance
AI Assistant: Features our revolutionary AI Assistant technology which lets you interact with our Books to enhance your learning
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Qlikview for Finance
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Sep 2015
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Paperback 174 pages
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Concoct dynamic business intelligence dashboards for financial analysis with QlikView
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  • 9781784397944 eBook $20.98
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Qlikview for Finance
Concoct dynamic business intelligence dashboards for financial analysis with QlikView
Description
This book is an effective step-by-step tutoring guide for financial analysis using Qlikview. It begins by teaching you the crucial concepts of Qlikview Finance to help you develop an effective understanding of financial data analysis and finance. The book then goes on to cover real-world, practical examples on the use of Qlikview for financial planning and analysis, expense management, risk management, and more. Moving on, topics such as Asset Management QlikView Dashboard and Retail Sales Analysis are covered in a strategic way. We then shift the focus to deal with the concepts of Inventory, Supply Chain, and Plant Coverage Dashboards. The book then reaches its conclusion by dealing with ways to share your QlikView insights. By the end of this book, you will have a good understanding of how to use Qlikview for numerous applications in finance.
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Sep 2015 174 pages
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SAS for Finance
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SAS for Finance
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May 2018
Paperback 306 pages
Forecasting and data analysis techniques with real-world examples to build powerful financial models
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  • 9781788622486 eBook $24.99
  • 9781788624565 Paperback $43.99
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SAS for Finance
Forecasting and data analysis techniques with real-world examples to build powerful financial models
Description
SAS is a groundbreaking tool for advanced predictive and statistical analytics used by top banks and financial corporations to establish insights from their financial data. SAS for Finance offers you the opportunity to leverage the power of SAS analytics in redefining your data. Packed with real-world examples from leading financial institutions, the author discusses statistical models using time series data to resolve business issues. This book shows you how to exploit the capabilities of this high-powered package to create clean, accurate financial models. You can easily assess the pros and cons of models to suit your unique business needs. By the end of this book, you will be able to leverage the true power of SAS to design and develop accurate analytical models to gain deeper insights into your financial data.
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May 2018 306 pages
AI Assistant AI Assistant
AI Assistant: Features our revolutionary AI Assistant technology which lets you interact with our Books to enhance your learning
Authors
Author Gulati
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Machine Learning for Finance
Machine Learning for Finance
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Apr 2020
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Explore Machine Learning algorithms to finance problems
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Machine Learning for Finance
Explore Machine Learning algorithms to finance problems
Description
Machine Learning for Finance is a perfect course for financial professionals entering the fintech domain. It shows how to solve some of the most common and pressing issues facing institutions in the financial industry, from retail banks to hedge funds. This video course focuses on Machine Learning and covers a range of analysis tools, such as NumPy, Matplotlib, and Pandas. It is packed full of hands-on code simulating many of the problems and providing working solutions. This course aims to build your confidence and the experience to go ahead and tackle real-life problems in financial analysis. The industry is adopting automatic, data-driven algorithms at a rapid pace, and Machine Learning for Finance gives you the skills you need to be at the forefront. By the end of this course, you will be equipped with all the tools from the world of Finance, machine learning and deep learning essential for tackling all these pressing issues in the area of Fintech. The code files to this videos is also available on This GitHub repo: https://github.com/PacktPublishing/Machine-Learning-for-Finance-video
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4hrs 30mins
Published : Apr 2020
AI Assistant: Features our revolutionary AI Assistant technology which lets you interact with our Books to enhance your learning
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Author Aryan Singh
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Hands-On Python for Finance[V]
Hands-On Python for Finance[V]
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Feb 2019
Video 5hrs 25mins
Apply powerful Finance models and quantitative analysis with Python
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Hands-On Python for Finance[V]
Apply powerful Finance models and quantitative analysis with Python
Description
Did you know Python is the one of the best solution to quantitatively analyse your finances by taking an overview of your timeline? This hands-on course helps both developers and quantitative analysts to get started with Python, and guides you through the most important aspects of using Python for quantitative finance. You will begin with a primer to Python and its various data structures.Then you will dive into third party libraries. You will work with Python libraries and tools designed specifically for analytical and visualization purposes. Then you will get an overview of cash flow across the timeline. You will also learn concepts like Time Series Evaluation, Forecasting, Linear Regression and also look at crucial aspects like Linear Models, Correlation and portfolio construction. Finally, you will compute Value at Risk (VaR) and simulate portfolio values using Monte Carlo Simulation which is a broader class of computational algorithms. With numerous practical examples through the course, you will develop a full-fledged framework for Monte Carlo, which is a class of computational algorithms and simulation-based derivatives and risk analytics. The Github Link to this course is: https://github.com/PacktPublishing/Hands-on-Python-for-Finance-V
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5hrs 25mins
Published : Feb 2019
AI Assistant: Features our revolutionary AI Assistant technology which lets you interact with our Books to enhance your learning
Authors
Author Matthew Macarty
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Video $137.99
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AI for Finance
AI for Finance
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Feb 2019
Video 2hrs 19mins
Predict patterns in financial data using Machine Learning
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AI for Finance
Predict patterns in financial data using Machine Learning
Description
A lot of solutions to key problems in the financial world require predicting the future patterns in data from the past to make better financial decisions right now. The evolution of modern machine learning methods and tools in recent years in the field of computer vision bring promise of the same progress in other important fields such as financial forecasting. In this course, you’ll first learn how to quickly get started with ML in finances by predicting the future currency exchange rates using a simple modern machine learning method. In this example, you’ll learn how to choose the basic data preparation method and model and then how to improve them. In the next module, you’ll discover a variety of ways to prepare data and then see how they influence models training accuracy. In the last module, you’ll learn how to find and test a few key modern machine learning models to pick up the best performing one. After finishing this course, you’ll have a solid introduction to apply ML methods to financial data forecasting. The code bundle for this video course is available at - https://github.com/PacktPublishing/AI-for-Finance
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2hrs 19mins
Published : Feb 2019
AI Assistant: Features our revolutionary AI Assistant technology which lets you interact with our Books to enhance your learning
Authors
Author Jakub Konczyk
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Video $137.99
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Python for Finance: Investment Fundamentals and Data Analytics
Python for Finance: Investment Fundamentals and Data Analytics
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Aug 2021
Video 7hrs 9mins
Learn Python Programming and Conduct Real-World Financial Analysis in Python - Complete Python Training
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Python for Finance: Investment Fundamentals and Data Analytics
Learn Python Programming and Conduct Real-World Financial Analysis in Python - Complete Python Training
Description
This course will take you on a journey where you will learn how to code in Python. You will learn how to use Python in a real working environment and explore how Python can be applied in the world of finance to solve portfolio optimization problems. The first part of the course is ideal for beginners and people who want to brush up on their Python skills. Once we have covered the basics, we will be ready to tackle financial calculations and portfolio optimization tasks. The finance block of this course will teach you in-demand, real-world skills employers are looking for. This explains topics such as how to work with Python’s conditional statements, functions, sequences, and loops, build investment portfolios, and more. The code bundle for this video course is available at https://github.com/PacktPublishing/Python-for-Finance-Investment-Fundamentals-and-Data-Analytics
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7hrs 9mins
Last Updated : Aug 2021 Published : Oct 2018
AI Assistant: Features our revolutionary AI Assistant technology which lets you interact with our Books to enhance your learning
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Author Ltd.
Author 365 Careers Ltd.
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Video $84.99
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Project Finance and Excel - Build Financial Models from Scratch
Project Finance and Excel - Build Financial Models from Scratch
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Jun 2023
Video 3hrs 34mins
Learn how to build a complete project finance model in Excel from absolute scratch!
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Project Finance and Excel - Build Financial Models from Scratch
Learn how to build a complete project finance model in Excel from absolute scratch!
Description
We will start by introducing project finance, highlighting the transactions that are eligible for this type of financing. Understanding the criteria for project finance is crucial for assessing the feasibility of infrastructure projects and identifying potential funding sources. The case study on Express Fiji will serve as our guiding example throughout the course. We will dissect the multi-scenario input sheet, examining each component and its role in the financial modeling process. We will walk you through the essential elements to consider when constructing this sheet, ensuring accuracy and reliability in your financial projections. Additionally, we will explore the mechanics behind timing flags, providing insights into their significance and how they impact the project’s financial analysis. Next, we will shift our focus to building the operations sheet, which plays a crucial role in projecting the project’s performance over its operational life. We will guide you through setting up the template for the profit and loss (P&L) statement, demonstrating how to calculate EBIT (Earnings Before Interest and Taxes) and integrate it into the financial model. You will also learn how to create an amortization table and lay out the debt repayment schedule. Finally, we will delve into return metrics and conclude the course by analyzing the project’s financial performance. By the end of the course, you will be able to unravel the intricacies of project finance, using the captivating case study on Express Fiji to enhance your understanding.
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3hrs 34mins
Published : Jun 2023
AI Assistant: Features our revolutionary AI Assistant technology which lets you interact with our Books to enhance your learning
Authors
Author Meta Brains
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Video $109.99
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Power BI Masterclass 8 -Python, Finance, and Advanced DAX
Power BI Masterclass 8 -Python, Finance, and Advanced DAX
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Jul 2023
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Video 3hrs 31mins
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Learn Power BI comprehensively and become a data analyst with finance and advanced DAX with Python
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Power BI Masterclass 8 -Python, Finance, and Advanced DAX
Learn Power BI comprehensively and become a data analyst with finance and advanced DAX with Python
Description
Microsoft Power BI is a powerful business analytics/data visualization tool that enables users to connect to various data sources, create interactive reports and dashboards, and gain insights from the data. With its intuitive interface and robust features, Power BI empowers users to make data-driven decisions and effectively communicate information with stakeholders. The course begins with setting up the Python environment for Power BI and then dives into using Python for data visualization in Power BI. It covers advanced DAX expressions and calculations, exploring a business dataset. You will also learn how to leverage Python libraries for data science in Power BI and create a balance sheet structure. The course includes applying custom visuals and culminates in creating a final dashboard. However, the Python concepts covered in this course cannot be considered comprehensive, only content related to Power BI usage requirements. Upon completing the course, you will gain advanced knowledge and skills in using Power BI for data visualization, analysis, and science. You will be proficient in setting up the Python environment in Power BI, leveraging Python for data visualization, and applying advanced DAX expressions and calculations, enabling you to effectively analyze/present data in various business scenarios.
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3hrs 31mins
Published : Jul 2023
AI Assistant: Features our revolutionary AI Assistant technology which lets you interact with our Books to enhance your learning
Authors
Author Dan We
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Video $74.99
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The Complete DeFi—Decentralized Finance—Industry Labs
The Complete DeFi—Decentralized Finance—Industry Labs
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Dec 2023
Video 4hrs 34mins
Learn DeFi and Blockchain Essentials, Polygon, CBDCs, DApps, ZK Rollups, Real-Life Examples!
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The Complete DeFi—Decentralized Finance—Industry Labs
Learn DeFi and Blockchain Essentials, Polygon, CBDCs, DApps, ZK Rollups, Real-Life Examples!
Description
Step into the dynamic realm of Decentralized Finance (DeFi), a revolutionary concept reshaping traditional financial systems. In this course, discover the fundamental principles underlying DeFi, its disruptive potential, and the transformation it brings to financial landscapes globally. Throughout this comprehensive journey, we will navigate DeFi principles from their foundations to advanced hands-on labs. Unravel the intricacies of blockchain and delve into the inner workings of Polygon’s advanced architecture, encompassing Bitcoin and Ethereum technologies. Whether a novice or seasoned professional, this course caters to all proficiency levels without the need for prior programming experience. Learn the core aspects of DeFi protocols and their applications, understand the complexities of blockchain fundamentals, and explore the macro socio-economic impact of DeFi within the finance industry. Engage in hands-on projects, reinforcing theoretical knowledge with practical blockchain labs, and develop skills in deploying smart contracts. By the end of this course, you will be equipped with a profound understanding of DeFi and blockchain technology. You will confidently navigate DeFi protocols, comprehend Polygon’s intricate blockchain architecture, and master the deployment of smart contracts.
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4hrs 34mins
Published : Dec 2023
AI Assistant: Features our revolutionary AI Assistant technology which lets you interact with our Books to enhance your learning
Authors
Author Clarian North
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Video $74.99
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Finance for Non-Finance
Finance for Non-Finance
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Aug 2024
Video 1hr 4mins
Master financial literacy and empower your business decisions
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Video Video
$59.99
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Finance for Non-Finance
Master financial literacy and empower your business decisions
Description
In this comprehensive course, you'll embark on a journey to understand finance tailored for non-financial professionals. Starting with the basics, explore the differences between capital and revenue expenditures and delve into cost behavior. With clear explanations and practical examples, you'll learn to build and manage budgets effectively. As you progress, uncover the fundamental principles of accountancy and finance, learning common financial terms and the intricacies of financial statements. From the DNA of balance sheets, cash flow statements, and profit & loss statements, to the effects of depreciation and the importance of working capital, each video builds your confidence in navigating financial data. Discover how to conduct ratio analysis, variance analysis, and reforecasting, ensuring you can review your company’s performance critically. By the end of the course, you will have a solid understanding of cash flow, budgeting, financial forecasting, and the distinction between finance and funding. This course not only teaches you the theory but also provides practical insights into reviewing and controlling costs, keeping financial records, and leveraging data analysis for business decisions. Empower yourself to positively impact your organization's financial health.
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1hr 4mins
Published : Aug 2024
AI Assistant: Features our revolutionary AI Assistant technology which lets you interact with our Books to enhance your learning
Authors
Author Skillshub Ltd
Purchase Options
Video $59.99
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Building Full Stack DeFi Applications
AI Assistant: Features our revolutionary AI Assistant technology which lets you interact with our Books to enhance your learning
AI Assistant
Building Full Stack DeFi Applications
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Mar 2024
Full star icon Full star icon Full star icon Full star icon Half star icon 4.6 (5)
Paperback 490 pages
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A practical guide to creating your own decentralized finance projects on blockchain
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Paperback eBook
  • 9781837632886 eBook $21.99
  • 9781837634118 Paperback $39.99
$21.99 $31.99
$39.99
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Building Full Stack DeFi Applications
A practical guide to creating your own decentralized finance projects on blockchain
Description
Enter the world of Decentralized Finance (DeFi) with Building Full Stack DeFi Applications. Understand how this blockchain-based financial technology, designed to manage crypto assets, runs independently without centralized financial institutions like banks and brokerages, eliminating the fees that banks and other financial companies charge for using their services. This book will show you how DeFi solutions are built with smart contracts running on blockchains and how they allow users to gain and earn crypto assets based on the trust of the smart contracts. This book uncovers the inner workings of DeFi by guiding you through the mathematical foundations and teaching you how to build real-world DeFi products with Solidity and JavaScript. As you progress through the chapters, you’ll learn how to implement smart contracts of liquidity pools to trade cryptocurrencies and implement staking, including farming features that allow users to earn. You’ll also find out how to create asset pools that allow users to lend and borrow cryptocurrencies and generate interest. Additionally, you’ll discover how to use Web3 libraries to build the frontend of DeFi products. By the end of this book, you’ll will be well acquainted with popular tools, libraries, and design patterns for implementing a full-stack DeFi application with Web3 and Solidity.
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Mar 2024 490 pages
AI Assistant AI Assistant
AI Assistant: Features our revolutionary AI Assistant technology which lets you interact with our Books to enhance your learning
Authors
Author Zhou
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eBook $21.99 $31.99
Paperback $39.99
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Going IT Alone: The Handbook for Freelance and Contract Software Developers
AI Assistant: Features our revolutionary AI Assistant technology which lets you interact with our Books to enhance your learning
AI Assistant
Going IT Alone: The Handbook for Freelance and Contract Software Developers
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Dec 2016
Paperback 376 pages
A detailed guide to self-employment for software and web developers - from identifying your target market, through to managing your time, finances, and client behavior
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Paperback eBook
  • 9781783001415 eBook $24.99
  • 9781783001408 Paperback $43.99
$24.99 $35.99
$43.99
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Going IT Alone: The Handbook for Freelance and Contract Software Developers
A detailed guide to self-employment for software and web developers - from identifying your target market, through to managing your time, finances, and client behavior
Description
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Dec 2016 376 pages
AI Assistant AI Assistant
AI Assistant: Features our revolutionary AI Assistant technology which lets you interact with our Books to enhance your learning
Authors
Author Leon Brown
Purchase Options
eBook $24.99 $35.99
Paperback $43.99
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