4.8/5 • 1100+ students
Fast track your career growth SQL for Data Analytics
Learn to extract answers from databases confidently: write clean queries, combine tables, aggregate metrics, and prepare datasets for Excel or Power BI.
- Hours of Instructor-Led Training
- Hands-on Projects across Web, Data & AI
- Includes Beginner → Expert Level Topics
- Mentor Support, Assignments & Code Reviews
- Job Assistance & Portfolio Guidance
- Jobzenter Certificate of Completion
What You'll Learn
SELECT & Filtering
Retrieve and filter rows precisely.
JOINs
Combine tables for richer analysis.
Aggregations
GROUP BY, HAVING, and metrics.
Subqueries & CTEs
Readable multi-step logic.
Window Functions
Rankings, running totals, trends.
Analytics Queries
Cohort, funnel, and KPI SQL.
Course Content
- Relational databases and table relationships
- SELECT, WHERE, ORDER BY, and LIMIT
- Data types, NULL handling, and aliases
- Inserting sample data and exploring schemas
- Query formatting and readability habits
Frequently asked questions
Which SQL dialect is taught?
Concepts apply across PostgreSQL, MySQL, and SQL Server; examples use widely compatible ANSI-style SQL.
Do I need a database installed?
We use browser-friendly or local practice environments so you can run queries from day one.
Is SQL required for data analysts?
SQL is one of the most requested skills for Data Analyst, BI Developer, and Analytics Engineer roles.