Databases and SQL for Data Science with Python Course Syllabus
Full curriculum breakdown — modules, lessons, estimated time, and outcomes.
This course is designed for beginners and takes approximately 8 weeks to complete, with a total time commitment of around 40-50 hours. You'll start with foundational database concepts and progressively build hands-on skills in SQL and Python integration for real-world data science tasks. Each module combines theory with practical labs, culminating in a final project where you'll apply your knowledge to query and analyze real data using SQL and Python together.
Module 1: Introduction to Databases
Estimated time: 6 hours
- Relational databases and their structure
- Understanding tables and primary keys
- Entity-Relationship (ER) diagrams
- Database schemas and normalization basics
Module 2: Basics of SQL
Estimated time: 10 hours
- Writing SELECT queries
- Using FROM and WHERE clauses
- Sorting results with ORDER BY
- Limiting output with LIMIT
Module 3: Intermediate SQL Queries
Estimated time: 10 hours
- Aggregation with COUNT, SUM, AVG
- Grouping data using GROUP BY
- Filtering groups with HAVING
- Analyzing grouped data effectively
Module 4: Advanced SQL and Joins
Estimated time: 10 hours
- Performing INNER JOIN operations
- Using LEFT JOIN to combine tables
- Writing sub-queries and nested queries
- Extracting insights from relational data
Module 5: Accessing Databases with Python
Estimated time: 10 hours
- Connecting Python to databases
- Using sqlite3 library for local databases
- Working with ibm_db for cloud databases
- Executing SQL queries from Python scripts and notebooks
Module 6: Final Project
Estimated time: 6 hours
- Design and execute a complete database query workflow
- Use SQL and Python together on real-world data
- Submit a Jupyter notebook with analysis and insights
Prerequisites
- No prior database experience needed
- Basic familiarity with Python recommended
- Access to a web browser and Coursera platform
What You'll Be Able to Do After
- Write basic to intermediate SQL queries confidently
- Understand and interpret relational database schemas
- Perform data analysis using GROUP BY, HAVING, and JOINs
- Connect Python applications to databases
- Execute SQL queries programmatically using Python