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The Art of Data-Driven Business

You're reading from The Art of Data-Driven Business Transform your organization into a data-driven one with the power of Python machine learning

Product type Paperback

Published in Dec 2022

Publisher Packt

ISBN-13 9781804611036

Length 314 pages

Edition 1st Edition

Languages

Python

Tools

Seaborn

Concepts

Data Science

Author (1):

Alan Bernardo Palacio

View More author details

Table of Contents (17) Chapters

Preface

1. Part 1: Data Analytics and Forecasting with Python

2. Chapter 1: Analyzing and Visualizing Data with Python FREE CHAPTER

3. Chapter 2: Using Machine Learning in Business Operations

4. Part 2: Market and Customer Insights

5. Chapter 3: Finding Business Opportunities with Market Insights

6. Chapter 4: Understanding Customer Preferences with Conjoint Analysis

7. Chapter 5: Selecting the Optimal Price with Price Demand Elasticity

8. Chapter 6: Product Recommendation

9. Part 3: Operation and Pricing Optimization

10. Chapter 7: Predicting Customer Churn

11. Chapter 8: Grouping Users with Customer Segmentation

12. Chapter 9: Using Historical Markdown Data to Predict Sales

13. Chapter 10: Web Analytics Optimization

14. Chapter 11: Creating a Data-Driven Culture in Business

15. Index

Why subscribe?

16. Other Books You May Enjoy

Technical requirements

In order to be able to follow the steps in this chapter, you will need to meet the next requirements:

Have a Jupyter notebook instance running Python 3.7 and above. You can use the Google Colab notebook to run the steps as well if you have a Google Drive account.
Have an understanding of basic math and statistical concepts.
Download the example datasets provided in the book’s GitHub page, and the original source is https://python.cogsci.nl/numerical/statistics/.

The rest of the chapter is locked

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Authors (1)

Palacio

Palacio

Alan Bernardo Palacio is a data scientist and an engineer with vast experience in different engineering fields. His focus has been the development and application of state-of-the-art data products and algorithms in several industries. He has worked for companies such as Ernst and Young, Globant, and now holds a data engineer position at Ebiquity Media helping the company to create a scalable data pipeline. Alan graduated with a Mechanical Engineering degree from the National University of Tucuman in 2015, participated as the founder in startups, and later on earned a Master's degree from the faculty of Mathematics in the Autonomous University of Barcelona in 2017. Originally from Argentina, he now works and resides in the Netherlands.

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