The Data Analysis Workshop

The Data Analysis Workshop

eBook Details:

  • Paperback: 626 pages
  • Publisher: WOW! eBook (July 29, 2020)
  • Language: English
  • ISBN-10: 1839211385
  • ISBN-13: 978-1839211386

eBook Description:

The Data Analysis Workshop: Learn how to analyze data using Python models with the help of real-world use cases and guidance from industry experts

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.

  • 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

By the end of the The Data Analysis Workshop 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.

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1 Response

  1. November 19, 2020

    […] Statistics for Non-STEM Data Analysts: Reinforce your understanding of data science and data analysis from a statistical perspective to extract meaningful insights from your data using Python […]

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