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SQL for Data Science: Practical Applications for Real-World Data
| AUTHOR | Carter, Thompson |
| PUBLISHER | Independently Published (12/11/2024) |
| PRODUCT TYPE | Paperback (Paperback) |
Description
"SQL for Data Science: Practical Applications for Real-World Data" is your essential guide to mastering database manipulation in today's data-driven world. This comprehensive guide bridges theory and practice, showing you how to harness SQL's power for real-world data science challenges .From cleaning messy datasets to building sophisticated recommendation engines, this book transforms complex concepts into clear, actionable insights. Whether you're a beginner or experienced analyst, you'll learn how to write efficient queries, optimize performance, and extract meaningful patterns from your data .
What Sets This Book Apart
Practical Focus
What Sets This Book Apart
Practical Focus
- Hands-on exercises with real-world datasets
- Industry-specific case studies and examples
- Step-by-step guidance for common data science tasks
- Data cleaning and transformation techniques
- Advanced analytics and statistical methods
- Performance optimization strategies
- Cloud platform integration
- Big data handling
- Machine learning preparation
Show More
Product Format
Product Details
ISBN-13:
9798303328303
Binding:
Paperback or Softback (Trade Paperback (Us))
Content Language:
English
More Product Details
Page Count:
230
Carton Quantity:
34
Product Dimensions:
6.00 x 0.48 x 9.00 inches
Weight:
0.69 pound(s)
Country of Origin:
US
Subject Information
BISAC Categories
Computers | Languages - SQL
Descriptions, Reviews, Etc.
publisher marketing
"SQL for Data Science: Practical Applications for Real-World Data" is your essential guide to mastering database manipulation in today's data-driven world. This comprehensive guide bridges theory and practice, showing you how to harness SQL's power for real-world data science challenges .From cleaning messy datasets to building sophisticated recommendation engines, this book transforms complex concepts into clear, actionable insights. Whether you're a beginner or experienced analyst, you'll learn how to write efficient queries, optimize performance, and extract meaningful patterns from your data .
What Sets This Book Apart
Practical Focus
What Sets This Book Apart
Practical Focus
- Hands-on exercises with real-world datasets
- Industry-specific case studies and examples
- Step-by-step guidance for common data science tasks
- Data cleaning and transformation techniques
- Advanced analytics and statistical methods
- Performance optimization strategies
- Cloud platform integration
- Big data handling
- Machine learning preparation
Show More