The Data Analysis Workshop: Solve business problems with state-of-the-art data analysis models, developing expert data analysis skills along the way

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Key benefits

Get to grips with data analysis by studying use cases from different fields

Develop your critical thinking skills by following tried-and-true data analysis

Learn how to use conclusions from data analyses to make better business decisions

Description

Businesses today operate online and generate data almost continuously. While not all data in its raw form may seem useful, if processed and analyzed correctly, it can provide you with valuable hidden insights. The Data Analysis Workshop will help you learn how to discover these hidden patterns in your data, to analyze them, and leverage the results to help transform your business. The book begins by taking you through the use case of a bike rental shop. You'll be shown how to correlate data, plot histograms, and analyze temporal features. As you progress, you’ll learn how to plot data for a hydraulic system using the Seaborn and Matplotlib libraries, and explore a variety of use cases that show you how to join and merge databases, prepare data for analysis, and handle imbalanced data. By the end of the book, you'll have learned different data analysis techniques, including hypothesis testing, correlation, and null-value imputation, and will have become a confident data analyst.

What you will learn

Get to grips with the fundamental concepts and conventions of data analysis

Understand how different algorithms help you to analyze the data effectively

Determine the variation between groups of data using hypothesis testing

Visualize your data correctly using appropriate plotting points

Use correlation techniques to uncover the relationship between variables

Find hidden patterns in data using advanced techniques and strategies

What do you get with Print?

Instant access to your digital eBook copy whilst your Print order is Shipped

Paperback book shipped to your preferred address

Download this book in EPUB and PDF formats

Access this title in our online reader with advanced features

DRM FREE - Read whenever, wherever and however you want

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Shipping Details

USA:

Economy: Delivery to most addresses in the US within 10-15 business days

Premium: Trackable Delivery to most addresses in the US within 3-8 business days

UK:

Economy: Delivery to most addresses in the U.K. within 7-9 business days.
Shipments are not trackable

Premium: Trackable delivery to most addresses in the U.K. within 3-4 business days!
Add one extra business day for deliveries to Northern Ireland and Scottish Highlands and islands

EU:

Premium: Trackable delivery to most EU destinations within 4-9 business days.

Australia:

India:

Premium: Delivery to most Indian addresses within 5-6 business days

Rest of the World:

Premium: Countries in the American continent: Trackable delivery to most countries within 4-7 business days

Asia:

Premium: Delivery to most Asian addresses within 5-9 business days

Unfortunately, due to several restrictions, we are unable to ship to the following countries:

Afghanistan
American Samoa
Belarus
Brunei Darussalam
Central African Republic
The Democratic Republic of Congo
Eritrea
Guinea-bissau
Iran
Lebanon
Libiya Arab Jamahriya
Somalia
Sudan
Russian Federation
Syrian Arab Republic
Ukraine
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Amazon verified reviews

Placeholder Mar 06, 2022

Book is not found useful although there are different projects mention by author. I wish to explore technical terms but get only few references and book would not fufilled my need. Price is too high. Finally, this is one reference book for me.

Amazon Verified review

Nhikki v May 04, 2021

Great data analysis with python book with 10 different scenarios. Datasets provided too so you can do your own analysis and the exercises. Perfect to practice and gain experience.

Jeffrey P Koskulics May 01, 2021

This book provides an interactive introduction to data analysis using Python. In the E-Book, examples link to a notebook instance that launches in the cloud for free on Binder in a new browser window. You can run the code as-is, or edit the code to see changes.The book covers Python libraries for data analysis (such as Pandas and Matplotlib), basic topics like Preprocessing and Exploratory Data Analysis, and advanced topics such as Time Series Analysis. Examples are clearly explained step-by-step. Notes throughout guide readers to original data sources and supplementary materials.

Nezemnaya Apr 12, 2021

This book is a step by step process on how to go about creating a data analysis project. It explains the data itself, what you can do with it and how you can do it. The various hypothesis testing and different correlations helped me get a better idea what I can do in my future project as a data analyst. It’s simple, easy to read and resourceful. It helps a lot to see the code and the graphs together as well as it makes it easier to understand what the code does when you run without having to run it on your own computer. The addition of hyperlinks to the data sets is super great for someone who wants to play with the data and practice the actual coding. I would recommend this book to anyone who is a new data analyst and may not want to get into the field without reading this book!

Casie McNeil Apr 08, 2021

This book did a wonderful job stepping through the process of evaluating data. It used real world data sets and provided the code to perform exploratory data analysis (EDA) and simple modeling. The exercises provided great explanations for what plots help identify interesting features in a data set, and how to determine the impact those features have on a target. It is a very well thought out introduction to data analysis and data science.

The Data Analysis Workshop: Solve business problems with state-of-the-art data analysis models, developing expert data analysis skills along the way

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