Learn how to analyze data using Python models with the help of
real-world use cases and guidance from industry experts
Key Features
- 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
Book 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
Who this book is 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.