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AlinLearning Technology & Data Course Team
Technical foundations, projects and quality reviewLessons progress from concepts and setup into projects, troubleshooting and advanced practice.
<span data-i18n data-en="Intermediate" data-bn="ইন্টারমিডিয়েট">Intermediate</span>
SQL for Data Analysis
Build practical, job-relevant capability in SQL for Data Analysis through guided practice, projects and a capstone.
Career track 04
Technology & Data Learning Path
Develop job-ready data, coding and cybersecurity capability through practical projects.
Jobs this leads to
Data analysis, BI, software/web development and cybersecurity pathways
- 1 Microsoft Excel for Jobs & Business
- 2 Data Analytics — Excel, SQL & Power BI
- 3 Power BI Dashboard & Data Visualization
- 4 SQL for Data Analysis
- 5 Python Programming from Beginner to Practical Projects
- 6 Full-Stack Web Development
- 7 Cybersecurity Fundamentals & Career Starter
- 8 AI-Driven Excel & Google Sheets Automation
Why take this course?
1
Starts with Relational data, tables, keys and query mindset and progresses toward answer business questions with SQL
2
Includes 9 focused chapters and 57 guided lessons with practice and review
3
Built around practical SQL for Data Analysis workflows rather than generic theory or income promises
What you will be able to do
- ✓ Explain and apply the core concepts of SQL for Data Analysis
- ✓ Use the current tools and workflows used in real projects
- ✓ Complete guided exercises and troubleshoot common problems
- ✓ Produce a portfolio-ready or application-ready capstone
- ✓ Evaluate quality, risk, ethics and professional best practices
Full curriculum
9 chapters · 57 lessons- ▶ Concepts: Relational data, tables, keys and query mindset 10m FREE
- ▶ Setup: Relational data, tables, keys and query mindset 16m FREE
- 🔒 Guided start: Relational data, tables, keys and query mindset 22m
- 🔒 Practice: Relational data, tables, keys and query mindset 22m
- 🔒 Common mistakes: Relational data, tables, keys and query mindset 16m
- 🔒 Checkpoint: Relational data, tables, keys and query mindset 20m
- ▶ Concepts: SELECT, WHERE, ORDER BY and expressions 12m FREE
- 🔒 Setup: SELECT, WHERE, ORDER BY and expressions 18m
- 🔒 Guided start: SELECT, WHERE, ORDER BY and expressions 18m
- 🔒 Practice: SELECT, WHERE, ORDER BY and expressions 24m
- 🔒 Common mistakes: SELECT, WHERE, ORDER BY and expressions 18m
- 🔒 Checkpoint: SELECT, WHERE, ORDER BY and expressions 16m
- 🔒 Principles: Aggregations, GROUP BY and HAVING 16m
- 🔒 Tools: Aggregations, GROUP BY and HAVING 16m
- 🔒 Guided build: Aggregations, GROUP BY and HAVING 22m
- 🔒 Applied exercise: Aggregations, GROUP BY and HAVING 28m
- 🔒 Troubleshoot: Aggregations, GROUP BY and HAVING 16m
- 🔒 Quality review: Aggregations, GROUP BY and HAVING 20m
- 🔒 Checkpoint: Aggregations, GROUP BY and HAVING 20m
- 🔒 Principles: JOINs and multi-table analysis 12m
- 🔒 Tools: JOINs and multi-table analysis 18m
- 🔒 Guided build: JOINs and multi-table analysis 24m
- 🔒 Applied exercise: JOINs and multi-table analysis 24m
- 🔒 Troubleshoot: JOINs and multi-table analysis 18m
- 🔒 Quality review: JOINs and multi-table analysis 22m
- 🔒 Checkpoint: JOINs and multi-table analysis 16m
- 🔒 Project brief: Subqueries, CTEs and set operations 12m
- 🔒 Plan: Subqueries, CTEs and set operations 20m
- 🔒 Hands-on build: Subqueries, CTEs and set operations 28m
- 🔒 Real scenario: Subqueries, CTEs and set operations 28m
- 🔒 Review: Subqueries, CTEs and set operations 22m
- 🔒 Checkpoint: Subqueries, CTEs and set operations 16m
- 🔒 Project brief: Window functions for analytical patterns 14m
- 🔒 Plan: Window functions for analytical patterns 16m
- 🔒 Hands-on build: Window functions for analytical patterns 30m
- 🔒 Real scenario: Window functions for analytical patterns 30m
- 🔒 Review: Window functions for analytical patterns 18m
- 🔒 Checkpoint: Window functions for analytical patterns 18m
- 🔒 Advanced concepts: Data quality checks and query debugging 14m
- 🔒 Workflow: Data quality checks and query debugging 20m
- 🔒 Case study: Data quality checks and query debugging 26m
- 🔒 Advanced practice: Data quality checks and query debugging 26m
- 🔒 Edge cases: Data quality checks and query debugging 20m
- 🔒 Optimise: Data quality checks and query debugging 24m
- 🔒 Checkpoint: Data quality checks and query debugging 16m
- 🔒 Advanced concepts: Performance basics and safe query habits 16m
- 🔒 Workflow: Performance basics and safe query habits 22m
- 🔒 Case study: Performance basics and safe query habits 22m
- 🔒 Advanced practice: Performance basics and safe query habits 28m
- 🔒 Edge cases: Performance basics and safe query habits 22m
- 🔒 Optimise: Performance basics and safe query habits 20m
- 🔒 Checkpoint: Performance basics and safe query habits 18m
- 🔒 Capstone brief: answer business questions with SQL 14m
- 🔒 Plan: answer business questions with SQL 16m
- 🔒 Build: answer business questions with SQL 38m
- 🔒 Professional review: answer business questions with SQL 24m
- 🔒 Present and reflect: answer business questions with SQL 16m
Course guidance
Official reference anchors
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Common questions
Is this course pre-recorded?
The delivery format is shown inside the course. Available lessons, videos, reading material and activities can be completed at your own pace unless a live session is specifically stated.
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Course access remains available according to the access terms shown at purchase.
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Check the current published Refund Policy before purchase.
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