Roman's Data Science: How to monetize your data
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English | 2021 | ISBN: B09CVD8T5K | 267 pages | PDF EPUB AZW3 | 8.96 MB
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).
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