About this Course
Learn how to work with data using Python and SQL in a practical, project-based course designed to give you relevant, industry-ready skills. You’ll gain hands-on experience manipulating, querying, and analyzing large datasets preparing you to solve real-world data challenges in business, science, or technology. By the end of this course, you’ll know how to: - Process and analyze data efficiently using Python, with a focus on Pandas and NumPy for manipulation and cleaning. - Write SQL queries to retrieve, filter, and aggregate data in relational databases. - Handle data files (CSV, Excel, JSON) and automate common data tasks for faster, repeatable analysis. - Visualize and report insights from your data to support decision-making. This course is designed for beginners, data enthusiasts, and aspiring data analysts and scientists. No prior programming experience is required, but some familiarity with databases or basic computing concepts will help you progress. You’ll finish with solid skills in Python scripting, SQL, and data analysis, giving you a strong foundation for further study or entry-level roles in data-driven industries
What You'll Learn
- Write Python programs using core concepts like variables and control flow
- Apply NumPy and Pandas to process and analyze large datasets
- Create data visualizations with Matplotlib, Seaborn, and Plotly
- Execute SQL queries to retrieve and analyze relational data
Prerequisites
- Basic familiarity with the topic and its common terminology
- Readiness to practice through applied exercises or case-based work
Instructors
Edureka