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Home > Data > Data Analysis > Python for Finance: Investment Fundamentals and Data Analytics
Python for Finance: Investment Fundamentals and Data Analytics
Python for Finance: Investment Fundamentals and Data Analytics

Python for Finance: Investment Fundamentals and Data Analytics: Learn Python Programming and Conduct Real-World Financial Analysis in Python - Complete Python Training

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Profile Icon Ltd. Profile Icon 365 Careers Ltd.
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$84.99
Video Aug 2021 7hrs 9mins 1st Edition
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$84.99
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Video Aug 2021 7hrs 9mins 1st Edition
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Renews at $19.99p/m
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$84.99
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Free Trial
Renews at $19.99p/m

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Key benefits

  • Learn Python programming from scratch
  • Learn to conduct real-world financial analysis in Python
  • A practical tutorial designed for programming beginners and aspiring data scientists

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

Who is this book for?

This course is designed for data scientists, programming beginners, people interested in finance and investments, programmers who want to specialize in finance, finance graduates, and professionals who need to know more about how to apply their knowledge in Python.

What you will learn

  • Learn to work with Python s conditional statements, functions, sequences, and loops
  • Learn to conduct in-depth investment analysis
  • Calculate risk and return for individual securities
  • Calculate risk and return for investment portfolios
  • Perform Monte Carlo simulations
  • Learn how to price options by applying the Black Scholes formula

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Last updated date : Aug 31, 2021
Publication date : Oct 25, 2018
Length: 7hrs 9mins
Edition : 1st
Language : English
ISBN-13 : 9781789618976
Category :
Data
Languages :
Python
Concepts :
Data Analysis

What do you get with a video?

Product feature icon Download this video in MP4 format
Product feature icon Access this title in our online reader with advanced features
Product feature icon DRM FREE - Read whenever, wherever and however you want

Product Details

Last updated date : Aug 31, 2021
Publication date : Oct 25, 2018
Length: 7hrs 9mins
Edition : 1st
Language : English
ISBN-13 : 9781789618976
Category :
Data
Languages :
Python
Concepts :
Data Analysis

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Table of Contents

17 Chapters
Welcome! Course Introduction Chevron down icon Chevron up icon
What Does the Course Cover?
Introduction to Jupyter and Programming with Python Chevron down icon Chevron up icon
Python
Why Python
Jupyter
Setting Up the Environment
Programming Explained in 5 Minutes
Why Jupyter
Installing Anaconda
Jupyter's Interface – the Dashboard
Jupyter's Interface – Prerequisites for Coding
Jupyter - Using Shortcuts
Jupyter - Handling Error Messages
Jupyter - Restarting the Kernel
Python Variables and Data Types Chevron down icon Chevron up icon
Python Variables
Understanding Numbers and Boolean Values
Strings
Basic Python Syntax Chevron down icon Chevron up icon
The Arithmetic Operators of Python
What is the Double Equality Sign
How to Reassign Values
How to Add Comments
Understanding Line Continuation
How to Index Elements
How to Structure Your Code with Indentation
More on Python Operators Chevron down icon Chevron up icon
Python Comparison Operators
Python's Logical and Identity Operators
Conditional Statements Chevron down icon Chevron up icon
Getting to Know the IF Statement
Adding an ELSE statement
Else if, for Brief – ELIF
An Additional Explanation of Boolean Values
Python Functions Chevron down icon Chevron up icon
How to Define a Function in Python
How to Create a Function with a Parameter
Another Way to Define a Function
How to Use a Function within a Function
Use Conditional Statements and Functions Together
How to Create Functions that Contain a Few Arguments
Built-In Functions in Python Worth Knowing
Python Sequences Chevron down icon Chevron up icon
Introduction to Lists
Using Methods in Python
What is List Slicing
Working with Tuples
Python Dictionaries
Using Iterations in Python Chevron down icon Chevron up icon
Using For Loops
Using While Loops and Incrementing
Use the range() Function to Create Lists
Combine Conditional Statements and Loops
All In – Conditional Statements, Functions, and Loops
How to Iterate over Dictionaries
Advanced Python Tools Chevron down icon Chevron up icon
Object-Oriented Programming
Modules, Packages, and the Python Standard Library
Importing Modules
What is Software Documentation
The Python Documentation
Must-Have Packages Fin DSc
Arrays
Generating Random Numbers
Using Financial Data in Python
Importing Data Part I
Importing Data Part II
Importing Data Part III
Changing the Index of Your Time-Series Data
Restarting the Jupyter Kernel
PART II FINANCE - Calculating and Comparing Rates of Return in Python Chevron down icon Chevron up icon
Considering Both Risk and Return
What are We Going to See Next?
Calculating a Security's Rate of Return
Simple Returns Part I
Simple Returns Part II
Log Returns
Portfolio of Securities and Calculating Rate of Return
Calculating the Rate of Return of a Portfolio of Securities
Popular Stock Indices
Calculating the Return of Indices
PART II Finance - Measuring Investment Risk Chevron down icon Chevron up icon
How Do We Measure a Security's Risk?
Calculating a Security's Risk in Python
The Benefits of Portfolio Diversification
Calculating the Covariance between Securities
Measuring the Correlation between Securities
Calculating Covariance and Correlation
Considering the Risk of Multiple Securities
Calculating Portfolio Risk
Understanding Systematic Versus Idiosyncratic Risk
Calculating Diversifiable and NonDiversifiable Risk
PART II Finance - Using Regressions for Financial Analysis Chevron down icon Chevron up icon
Simple Regression Analysis
Running a Regression in Python
How to Distinguish Good Regressions
Computing Alpha, Beta, and R2 in Python
PART II Finance - Markowitz Portfolio Optimization Chevron down icon Chevron up icon
Markowitz Portfolio Theory
Obtaining the Efficient Frontier Part I
Obtaining the Efficient Frontier Part II
Obtaining the Efficient Frontier Part III
PART II Finance - The Capital Asset Pricing Model Chevron down icon Chevron up icon
The Intuition Behind the CAPM
Understanding and Calculating Beta
Calculating the Beta of a Stock
The CAPM Formula
Calculating the Expected Return of a Stock
Introducing the Sharpe Ratio
Obtaining the Sharpe Ratio in Python
Measuring Alpha
PART II Finance - Multivariate Regression Analysis Chevron down icon Chevron up icon
Multivariate Regression Analysis
Running a Multivariate Regression in Python
PART II Finance - Monte Carlo Simulations as a Decision-Making Tool Chevron down icon Chevron up icon
The Essence of Monte Carlo Simulations
Monte Carlo in Corporate Finance
MC Predicting Gross Profit Part I
MC Predicting Gross Profit Part II
Forecasting Stock Prices with an MC Simulation
MC Forecasting Stock Prices Part I
MC Forecasting Stock Prices Part II
MC Forecasting Stock Prices Part III
An Introduction to Derivative Contracts
The Black Scholes Formula
MC Black Scholes Merton Updated
MC Euler Discretization Part I
MC Euler Discretization Part II

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365 Careers' courses have been taken by more than 203,000 students in 204 countries. People working at world-class firms such as Apple, PayPal, and Citibank have completed 365 Careers trainings. By choosing 365 Careers, you make sure you will learn from proven experts who have a passion for teaching, and can take you from beginner to pro in the shortest possible amount of time. If you want to become a financial analyst, a finance manager, an FP&A analyst, an investment banker, a business executive, an entrepreneur, a business intelligence analyst, a data analyst, or a data scientist, 365 Careers' courses are the perfect place to start.
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Profile icon 365 Careers Ltd.
365 Careers Ltd.
365 Careers’ courses have been taken by more than 203,000 students in 204 countries. People working at world-class firms such as Apple, PayPal, and Citibank have completed 365 Careers trainings. By choosing 365 Careers, you make sure you will learn from proven experts who have a passion for teaching, and can take you from beginner to pro in the shortest possible amount of time. If you want to become a financial analyst, a finance manager, an FP&A analyst, an investment banker, a business executive, an entrepreneur, a business intelligence analyst, a data analyst, or a data scientist, 365 Careers’ courses are the perfect place to start.
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