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The Data Analysis Workshop

You're reading from The Data Analysis Workshop Solve business problems with state-of-the-art data analysis models, developing expert data analysis skills along the way

Product type Paperback

Published in Jul 2020

Publisher Packt

ISBN-13 9781839211386

Length 626 pages

Edition 1st Edition

Languages

Python

Tools

Jupyter

Concepts

Data Analysis

Authors (3):

Konstantin Palagachev

Gururajan Govindan

Shubhangi Hora

View More author details

Table of Contents (12) Chapters

Preface

1. Bike Sharing Analysis

2. Absenteeism at Work FREE CHAPTER

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

Appendix

Summary

In this chapter, we analyzed a dataset containing employees' absences and their relationship to additional health and socially related factors. We introduced various data analysis techniques, such as distribution plots, conditional probabilities, Bayes' theorem, data transformation techniques (such as Box-Cox and Yeo-Johnson), and the Kolmogorov-Smirnov test, and applied these to the dataset.

In the next chapter, we will be analyzing the marketing campaign dataset of a Portuguese bank and the impact it had on acquiring new customers.

You have been reading a chapter from

The Data Analysis Workshop

Published in: Jul 2020

Publisher: Packt

ISBN-13: 9781839211386

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Authors (3)

Gururajan Govindan

Gururajan Govindan

Gururajan Govindan is a data scientist, intrapreneur, and trainer with more than seven years of experience working across domains such as finance and insurance. He is also an author of The Data Analysis Workshop, a book focusing on data analytics. He is well known for his expertise in data-driven decision-making and machine learning with Python.

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Konstantin Palagachev

Konstantin Palagachev

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.

See other products by Konstantin Palagachev

Shubhangi Hora

Shubhangi Hora

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.

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