Excel for Analytics: From Foundations to Expert Practice
A complete, follow-along Excel analytics pathway covering data preparation, formulas, lookups, PivotTables, dashboards, statistics, Power Query, modeling, automation, and a capstone project.
- Design auditable workbooks and prepare reliable analytical data.
- Use core and advanced formulas, including IF, SUMIFS, XLOOKUP, VLOOKUP, INDEX-MATCH, dynamic arrays, LET, and LAMBDA.
- Analyze dates, distributions, relationships, forecasts, and scenarios.
- Create PivotTables, charts, interactive dashboards, and quality controls.
- Build refreshable Power Query pipelines and well-structured data models
- Deliver an executive-ready capstone with defensible recommendations.
- Microsoft Excel 365 or Excel 2021 recommended; legacy alternatives are explained where important.
- Basic computer file-management skills.
- Willingness to follow along in a practice workbook.
- No prior analytics experience required.
About this course
Build job-ready Excel analytics skills through forty consistent, practical lessons. Begin with workbook fundamentals and progress through advanced formulas, lookups, dynamic arrays, PivotTables, dashboards, statistics, forecasting, Power Query, data modeling, safe automation, and an executive capstone.
Every lesson includes objectives, concept explanation, formula anatomy, a worked example, follow-along steps, practice, common mistakes, and a mastery check.
Chapter 1: Excel Analytics Foundations 4 Lessons
Build a reliable analyst workflow: workbook structure, data types, references, and auditable calculations.
Outcome: Complete the four lessons and pass the chapter checkpoint before continuing.
Chapter 2: Preparing and Cleaning Data 4 Lessons
Turn messy operational exports into consistent, analysis-ready tables using text, numeric, and quality-control functions.
Outcome: Complete the four lessons and pass the chapter checkpoint before continuing.
Chapter 3: Logic and Conditional Aggregation 4 Lessons
Build decision rules and segmented metrics with IF-family functions and criteria-based aggregation.
Outcome: Complete the four lessons and pass the chapter checkpoint before continuing.
Chapter 4: Lookup and Reference Mastery 4 Lessons
Retrieve exact and approximate matches confidently with XLOOKUP, VLOOKUP, HLOOKUP, INDEX, and MATCH.
Outcome: Complete the four lessons and pass the chapter checkpoint before continuing.
Chapter 5: Dates, Times, and Period Analysis 4 Lessons
Create dependable calendar logic, aging, working-day metrics, and period comparisons.
Outcome: Complete the four lessons and pass the chapter checkpoint before continuing.
Chapter 6: Dynamic Arrays and Reusable Models 4 Lessons
Use modern spill formulas, named logic, and reusable functions to reduce manual work and model risk.
Outcome: Complete the four lessons and pass the chapter checkpoint before continuing.
Chapter 7: PivotTables and Interactive Summaries 4 Lessons
Summarize, compare, and explore large datasets with PivotTables, grouping, calculations, and slicers.
Outcome: Complete the four lessons and pass the chapter checkpoint before continuing.
Chapter 8: Charts and Dashboard Design 4 Lessons
Turn analysis into truthful, accessible, decision-oriented charts and dashboards.
Outcome: Complete the four lessons and pass the chapter checkpoint before continuing.
Chapter 9: Statistical Analysis and Forecasting 4 Lessons
Describe distributions, quantify relationships, test scenarios, and create appropriately cautious forecasts.
Outcome: Complete the four lessons and pass the chapter checkpoint before continuing.
Chapter 10: Power Query, Expert Modeling, and Capstone 8 Lessons
Replace fragile manual cleaning with refreshable queries, joins, appends, profiling, and controlled outputs. Integrate robust modeling, performance, automation, documentation, and a complete analytics project.
Outcome: Complete the four lessons and pass the chapter checkpoint before continuing.