What will you learn in Practical Data Analysis with SQL Course
Perform practical data analysis using SQL on real-world datasets
Write advanced SQL queries using
JOIN,GROUP BY,CASE, and window functionsAnalyze trends, patterns, and KPIs directly from relational databases
Build SQL workflows for business reporting and data-driven decision making
Understand common data analyst tasks like cohort analysis, funnel tracking, and A/B test evaluations
Gain the SQL proficiency needed for data analyst and business intelligence roles
Program Overview
Module 1: Foundations of SQL for Analysis
⏳ 0.5 week
Topics: SELECT, WHERE, ORDER BY, filtering data
Hands-on: Query sample datasets to extract and sort key information
Module 2: Aggregation & Grouping
⏳ 0.5 week
Topics: GROUP BY, COUNT, SUM, AVG, HAVING clauses
Hands-on: Analyze sales, revenue, or user engagement data
Module 3: Working with Multiple Tables
⏳ 1 week
Topics: JOIN types, merging datasets, relational keys
Hands-on: Perform multi-table joins to build comprehensive reports
Module 4: Advanced SQL Logic
⏳ 1 week
Topics: CASE statements, nested queries, window functions
Hands-on: Create running totals, ranks, and segmented summaries
Module 5: Real-World Analysis Projects
⏳ 1 week
Topics: Cohort analysis, retention curves, funnel analysis
Hands-on: Use SQL to build dashboards and track business KPIs
Module 6: Optimization & Best Practices
⏳ 0.5 week
Topics: Query optimization, clean code, indexing basics
Hands-on: Refactor complex queries for performance and clarity
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Job Outlook
SQL remains a top skill for data analysts, business analysts, and BI developers
Roles requiring SQL include Data Analyst, Product Analyst, Marketing Analyst, and Data Engineer
High demand across industries like tech, finance, e-commerce, and healthcare
Average salary range: $70,000–$120,000 with strong growth in data-centric roles
Specification: Practical Data Analysis with SQL
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