SQL for Data Science Data Cleaning, Wrangling and Analytics with Relational Databases
All chapters contain a lot of examples and exercises on the way, and readers are encouraged to install the two open-source database systems (MySQL and Postgres) that are used throughout the book in order to practice and work on the exercises, because simply reading the book is much less useful than...
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| Format: | eBook |
| Language: | English |
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Cham
Springer International Publishing
2020, 2020
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| Edition: | 1st ed. 2020 |
| Series: | Data-Centric Systems and Applications
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| Subjects: | |
| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- 1. The Data Life Cycle
- 2. Relational Data
- 3. Data Cleaning and Pre-processing
- 4. Introduction to Data Analysis
- 5. More SQL
- 6. Databases and Other Tools