Databases & SQL for Data Science with Python
Master data querying and management with this hands-on SQL data science course. Learn how to use SQL and Python together to extract, analyze, and manipulate data from relational databases—an essential skill for every aspiring data scientist. This course provides a solid foundation in SQL while seamlessly integrating it with Python to solve real-world data science problems.
What You’ll Learn
- SQL fundamentals: SELECT, JOINs, GROUP BY, and subqueries
- Creating, updating, and managing relational databases
- Connecting Python to SQL databases using SQLite and PostgreSQL
- Performing data wrangling and transformation with SQL
- Using Python libraries like Pandas and SQLAlchemy
- Executing complex queries for data analysis and reporting
- Best practices for database design and optimization
Requirements
- Basic knowledge of Python programming
- No prior SQL experience required
- A computer with Python and database software installed
Course Description
This SQL data science course is designed for beginners and intermediate learners who want to acquire essential database skills for data analysis. You’ll start by mastering SQL syntax and database design before integrating your knowledge with Python for data manipulation and analysis.
The course includes interactive lessons, real-world datasets, and project-based learning. You’ll connect Python to SQL databases using tools like SQLite and PostgreSQL, retrieve and manipulate large datasets, and visualize results using Pandas. By combining SQL with Python, you’ll be able to streamline data workflows, making your analysis more efficient and effective.
By the end of this course, you will be equipped with the tools to query databases professionally, solve analytical problems, and prepare data for machine learning and reporting.
About the Instructor
Created by data scientists and professional educators with industry experience, this course offers a practical, real-world approach to learning SQL and Python for data science applications.
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