Data Science & Analytics
Databases & SQL for Data Science with Python
This course is a practical, hands-on course designed to provide learners with the essential SQL and database skills required for data science, analytics, and modern application development.
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Included with Skilldacity Membership
About This Course
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This course is a practical, hands-on course designed to provide learners with the essential SQL and database skills required for data science, analytics, and modern application development. This course bridges foundational database concepts with real-world Python integrations, giving you the tools to query, analyze, and manipulate data efficiently. Through guided SQL exercises, Python-based data workflows, and real datasets, you’ll learn how to extract insights, clean and transform data, join multiple tables, and perform analytical queries.
You’ll also explore how Python libraries connect to databases, enabling seamless data retrieval and processing for machine learning, reporting, and automation tasks.
What You’ll Learn
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Core SQL concepts: queries, filtering, sorting, joins, grouping, and aggregation
Working with relational databases such as MySQL, PostgreSQL, or SQLite
Data modeling, table design, and normalization fundamentals
Using Python to interact with databases via libraries like sqlite3, SQLAlchemy, and pandas
Query optimization basics and best practices
Building analytical queries for data science workflows
Importing, cleaning, and transforming data with SQL and Python
Integrating SQL results into Python-based dashboards, ML models, and visualizations
Skills You’ll Gain
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Developer
Data Science
Python
Database
Career Path
Data Science & Analytics
Provider
Skilldacity
Level
Foundational
Certification
No certification associated
Access
Included with eligible Skilldacity subscription
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