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

Gururajan Govindan

Konstantin Palagachev

Shubhangi Hora

€29.99

4.4 (21 Ratings)

Paperback Jul 2020 626 pages 1st Edition

Gururajan Govindan

Konstantin Palagachev

Shubhangi Hora

€29.99

4.4 (21 Ratings)

Paperback Jul 2020 626 pages 1st Edition

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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.

Who is this book for?

The Data Analysis Workshop is for programmers who already know how to code in Python and want to use it to perform data analysis. If you are looking to gain practical experience in data science with Python, this book is for you.

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

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Shipments are not trackable

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Amazon verified reviews

Nithin Feb 15, 2021

I found the book "The Data Analysis Workshop" really helpful. I like the approach author has taken to go step by step on the process. Every problem solving follows the data exploration and preprocessing to data visualization in Python.The book uses real world and variety datasets with great well formatted colored visualizations. Code snippets are clear and explains the problem statement with clarity across the entire book.The book covers a lot of important concepts sklearn, classification, regression, hypothesis testing, clustering, time series, and many more. It also features "Activities" for every section which helps with better understanding of problem statement.I would highly recommend this book.

Amazon Verified review

Gennaro Maida, MS, BSBME -- CTO/Co-founder Vital Intelligence, Inc. Oct 05, 2020

This book does exactly what the author intends. There are many real world examples that are used to build knowledge and expertise in some of todays most powerful python tools. Jupyter notebooks, matplotlib, seaborn, scikit-learn, numpy, scipy, and pandas are employed diving into many of the most useful methods. The author takes the time to walk the reader through the steps of solving analytical problems from data exploration and preprocessing to data visualization. Additionally, the author lightly digs into the statistics and probability behind the analyses to build concepts rather then repetitive memorization. I would recommend this book, not only as a quick reference for intermediate to advanced data scientists, but as a book to introduce beginners (with python knowledge) to the world of data science. A definite thumbs up.

Richard Dec 28, 2020

Excellent book that clearly explains vital data analysis techniques using real-world examples. The author does a particularly great job highlighting the use of Python-based statistical analyses via Jupyter notebooks by importing pandas, matplotlib, seaborn, scikit-learn, numpy, and scipy.This book also covers some great data visualization techniques, which are must-haves for anyone who is interested in crafting meaningful data storytelling.Overall, this is a great read for anyone who is interested in expanding their data analysis skill set. A highly recommended read!

Alan Dec 09, 2020

This book is a good learning tool for beginners as well as a great reference book for the more experienced. You do need to be versed in Python before reading, although being a programmer in VBA, I was able to get the gist of what the programs were doing (programming fundamentals). It covers many different and increasingly complex datasets and shows how to turn them into meaningful data insights. I would recommend it to anyone that wants to gain serious knowledge about data analysis.

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.

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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