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

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.

Table of Contents

1. Bike Sharing Analysis
2. Absenteeism at Work
3. Analyzing Bank Marketing Campaign Data
4. Tackling Company Bankruptcy
5. Analyzing the Online Shopper's Purchasing Intention
6. Analysis of Credit Card Defaulters
7. Analyzing the Heart Disease Dataset
8. Analyzing Online Retail II Dataset
9. Analysis of the Energy Consumed by Appliances
10. Analyzing Air Quality

Gururajan Govindan is a data scientist, intrapreneur, and trainer with more than 7 years of experience working across domains such as finance and insurance. He believes that asking the right question solves most problems and is well known for his expertise in data-driven decision making and machine learning with Python.

Shubhangi Hora is a data scientist, Python developer, and published writer. With a background in computer science and psychology, she is particularly passionate about healthcare-related AI, including mental health. Shubhangi is also a trained musician.

Konstantin Palagachev holds a Ph.D. in applied mathematics and optimization, with an interest in operations research and data analysis. He is recognized for his passion for delivering data-driven solutions and expertise in the area of urban mobility, autonomous driving, insurance, and finance. He is also a devoted coach and mentor, dedicated to sharing his knowledge and passion for data science.