SQL for Data Science: Data Cleaning, Wrangling and Analytics with Relational Databases
450৳
📚 Book Features & Quality
🔹 Premium Paper: Off-white Karnaphuli paper, 80 GSM
🔹 Perfect Size: B5 (a little smaller than A4 but bigger than standard books)
🔹 High-Quality Print: Computer printed, sharp and clear fonts
🔹 Durable Binding: Forma binding, strong and long-lasting
🔹 Elegant Cover: Paperback, portable and attractive design
🔹 Comfortable Reading: Ideal for eye comfort
📖 Enhance your reading experience with high-quality printing and well-structured formatting!
📘 SQL for Data Science: Data Cleaning, Wrangling, and Analytics with Relational Databases
(1st Edition, 2020 | 290 Pages) by Antonio Badia
🔍 Master SQL for Data Science & Analytics
Key Features:
✔ SQL for Data Science – Teaches SQL within the framework of the data life cycle, covering data acquisition, cleaning, transformation, and analysis.
✔ Practical & Hands-on Approach – Includes examples and exercises using MySQL and PostgreSQL for real-world practice.
✔ SQL for Data Analytics – Explains how SQL can be used for data exploration, preprocessing, and basic analysis.
✔ Integrates with R & Python – Learn how to use SQL inside Python and R for advanced data science applications.
✔ Minimal Prerequisites – No prior knowledge of databases or data science needed—just basic computer fluency.
📖 Ideal for aspiring data scientists, analysts, and anyone looking to harness the power of SQL for data-driven insights! 🚀📊
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