Learn SQL Basics for Data Science Specialization Course Syllabus

Overview: This specialization offers a comprehensive introduction to SQL for data science applications, designed for beginners with no prior experience. The course spans approximately 28-48 weeks of part-time study, with hands-on exercises and real-world projects integrated throughout. Learners will progress from foundational SQL concepts to advanced techniques used in data analysis, gaining practical skills to retrieve, manipulate, and analyze data effectively. Each module builds on the previous one, culminating in a final project that applies SQL in a data science context.

Module 1: Introduction to SQL

Estimated time: 20 hours

• Understand relational databases and SQL structure
• Learn about tables, columns, and primary keys
• Write basic SELECT queries
• Retrieve and filter data using WHERE clause

Module 2: SQL for Data Manipulation

Estimated time: 30 hours

• Filter and sort data using WHERE and ORDER BY
• Aggregate data with COUNT, SUM, AVG, and GROUP BY
• Use built-in SQL functions for data processing
• Clean and modify datasets using SQL operators

Module 3: Advanced SQL Techniques

Estimated time: 40 hours

• Perform complex joins across multiple tables
• Write subqueries for nested data logic
• Use Common Table Expressions (CTEs)
• Apply window functions and analytical queries

Module 4: SQL for Data Science Applications

Estimated time: 50 hours

• Integrate SQL with Python for data analysis
• Extract insights from large datasets
• Support decision-making with query results
• Apply SQL in real-world data science workflows

Module 5: Hands-on Projects and Real-World Scenarios

Estimated time: 40 hours

• Work with real-world datasets
• Practice end-to-end data querying and cleaning
• Solve data analysis problems using SQL

Module 6: Final Project

Estimated time: 30 hours

• Design and execute a complete SQL analysis project
• Use joins, subqueries, and window functions
• Present findings based on data insights

Prerequisites

• No prior programming or database experience required
• Basic familiarity with computers and web applications
• Willingness to learn through hands-on practice

What You'll Be Able to Do After

• Write and execute SQL queries to retrieve and filter data
• Perform data aggregation and manipulation for analysis
• Join multiple tables and use advanced SQL functions
• Clean and prepare datasets using SQL
• Apply SQL skills in real-world data science projects