Roman’s Data Science: How to monetize your data
- Length: 245 pages
- Edition: 2
- Language: English
- Publication Date: 2021-08-16
- ISBN-10: B09CVD8T5K
- Sales Rank: #438436 (See Top 100 Books)
This book is dedicated to readers who want to try their hand at data analysis and develop data-driven services.
Facts
- The book was sold out in Russia in three weeks
- Personal experience book, not a boring tutorial
- Whole picture of DS without coding and math
Beginners in Data Science will learn
- What business needs from Data Science
- Different approaches of data analysis
- Effective way to learn machine learning
Startupers will learn
- Quick launch of DS from scratch
- Choose technology stack for analytics
- Three approaches to analyze A/B tests
Managers will learn
- Manage data science tasks
- Spend money on DS effectively
- Manage hypothesis cycle
Author
- 20 years of data analysis experience, holds Master of Science in applied maths and physics.
- Built and exited from his own company Retail Rocket. The recommender system provider (SaaS) for e-commerce – leader of the Russian market with offices in Europe and South America.
- The first head of analytics of Russian Internet retailer Ozon.ru (11 billions USD Ozon at Nasdaq).
Title Page Copyright Preface to the English edition Introduction Table of contents Who is This Book For? How to Read this Book Chapter 1. How We Make Decisions Chapter 2. Let’s Do Some Data Analysis Chapter 3. Building Analytics from Scratch Chapter 4. How about Some Analytical Tasks? Chapter 5. Data Chapter 6. Data Warehouses Chapter 7. Data Analysis Tools Chapter 8. Machine Learning Algorithms Chapter 9. The Practice of Machine Learning Chapter 10. Implementing ML in Real Life: Hypotheses and Experiments Chapter 11. Data Ethics Chapter 12. Challenges and Startups Chapter 13. Building a Career Epilogue Acknowledgements About the Author Bibliography
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