A
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="Advanced" data-bn="অ্যাডভান্সড">Advanced</span>
Data Analytics — Excel, SQL & Power BI
Build practical, job-relevant capability in Data Analytics — Excel, SQL & Power BI 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 Analytics thinking, questions and data quality and progresses toward end-to-end analytics case study
2
Includes 9 focused chapters and 57 guided lessons with practice and review
3
Built around practical Data Analytics — Excel, SQL & Power BI workflows rather than generic theory or income promises
What you will be able to do
- ✓ Explain and apply the core concepts of Data Analytics — Excel, SQL & Power BI
- ✓ 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: Analytics thinking, questions and data quality 12m FREE
- ▶ Setup: Analytics thinking, questions and data quality 18m FREE
- 🔒 Guided start: Analytics thinking, questions and data quality 18m
- 🔒 Practice: Analytics thinking, questions and data quality 24m
- 🔒 Common mistakes: Analytics thinking, questions and data quality 18m
- 🔒 Checkpoint: Analytics thinking, questions and data quality 16m
- ▶ Concepts: Excel analysis and exploratory summaries 14m FREE
- 🔒 Setup: Excel analysis and exploratory summaries 14m
- 🔒 Guided start: Excel analysis and exploratory summaries 20m
- 🔒 Practice: Excel analysis and exploratory summaries 26m
- 🔒 Common mistakes: Excel analysis and exploratory summaries 14m
- 🔒 Checkpoint: Excel analysis and exploratory summaries 18m
- 🔒 Principles: SQL querying, joins, grouping and window concepts 12m
- 🔒 Tools: SQL querying, joins, grouping and window concepts 18m
- 🔒 Guided build: SQL querying, joins, grouping and window concepts 24m
- 🔒 Applied exercise: SQL querying, joins, grouping and window concepts 24m
- 🔒 Troubleshoot: SQL querying, joins, grouping and window concepts 18m
- 🔒 Quality review: SQL querying, joins, grouping and window concepts 22m
- 🔒 Checkpoint: SQL querying, joins, grouping and window concepts 16m
- 🔒 Principles: Data cleaning and transformation with Power Query 14m
- 🔒 Tools: Data cleaning and transformation with Power Query 20m
- 🔒 Guided build: Data cleaning and transformation with Power Query 20m
- 🔒 Applied exercise: Data cleaning and transformation with Power Query 26m
- 🔒 Troubleshoot: Data cleaning and transformation with Power Query 20m
- 🔒 Quality review: Data cleaning and transformation with Power Query 18m
- 🔒 Checkpoint: Data cleaning and transformation with Power Query 18m
- 🔒 Project brief: Data modelling and relationships in Power BI 14m
- 🔒 Plan: Data modelling and relationships in Power BI 16m
- 🔒 Hands-on build: Data modelling and relationships in Power BI 30m
- 🔒 Real scenario: Data modelling and relationships in Power BI 30m
- 🔒 Review: Data modelling and relationships in Power BI 18m
- 🔒 Checkpoint: Data modelling and relationships in Power BI 18m
- 🔒 Project brief: DAX measures and business metrics 10m
- 🔒 Plan: DAX measures and business metrics 18m
- 🔒 Hands-on build: DAX measures and business metrics 32m
- 🔒 Real scenario: DAX measures and business metrics 26m
- 🔒 Review: DAX measures and business metrics 20m
- 🔒 Checkpoint: DAX measures and business metrics 20m
- 🔒 Advanced concepts: Dashboard design, storytelling and accessibility 16m
- 🔒 Workflow: Dashboard design, storytelling and accessibility 22m
- 🔒 Case study: Dashboard design, storytelling and accessibility 22m
- 🔒 Advanced practice: Dashboard design, storytelling and accessibility 28m
- 🔒 Edge cases: Dashboard design, storytelling and accessibility 22m
- 🔒 Optimise: Dashboard design, storytelling and accessibility 20m
- 🔒 Checkpoint: Dashboard design, storytelling and accessibility 18m
- 🔒 Advanced concepts: Validation, documentation and stakeholder communication 18m
- 🔒 Workflow: Validation, documentation and stakeholder communication 18m
- 🔒 Case study: Validation, documentation and stakeholder communication 24m
- 🔒 Advanced practice: Validation, documentation and stakeholder communication 30m
- 🔒 Edge cases: Validation, documentation and stakeholder communication 18m
- 🔒 Optimise: Validation, documentation and stakeholder communication 22m
- 🔒 Checkpoint: Validation, documentation and stakeholder communication 20m
- 🔒 Capstone brief: end-to-end analytics case study 10m
- 🔒 Plan: end-to-end analytics case study 18m
- 🔒 Build: end-to-end analytics case study 40m
- 🔒 Professional review: end-to-end analytics case study 20m
- 🔒 Present and reflect: end-to-end analytics case study 18m
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.
How long do I keep access?
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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The platform can show course completion and certificate-verification features where enabled.