Foundation → Advanced2026 CurriculumUniversal Skill
Excel Advanced Analytics Training in Malaysia
The universal data tool, used at depth. PivotTables, Power Query, Power Pivot, advanced formulas, dashboards — the skills that turn an analyst into an indispensable analyst.
Self-service ETL — connect, transform, load from anywhere
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Advanced formulas
XLOOKUP, INDEX-MATCH, dynamic arrays, LET, LAMBDA
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Dashboards
Interactive Excel dashboards with form controls, validation, conditional formatting
Excel Advanced Analytics Course Overview
Excel Advanced Analytics course overview.
This Excel Advanced Analytics course in Malaysia helps professionals strengthen their data analysis, reporting, dashboard creation, and business intelligence skills using modern Excel tools.
Participants learn advanced Excel techniques including PivotTables, Power Query, Power Pivot, dynamic arrays, dashboards, and advanced formulas used in finance, HR, operations, and analytics workflows.
Why Learn Advanced Excel Analytics?
Excel remains one of the most widely used business analytics tools across organizations. Advanced Excel skills help professionals automate reporting, improve productivity, and analyze business data more efficiently.
This advanced Excel training helps learners:
Skills Covered in Excel Advanced Analytics Training
✓ Microsoft 365 / Excel 2019+ (older versions covered with workarounds)
✓ No coding background required
✓ Comfortable with simple SUM / IF formulas
→ If you can write =SUM(A1:A10) and use a sort filter, you're ready.
Course Curriculum
Three days. Across the modern Excel stack.
We cover Excel across 6 modules in 3 days. Every module is 70% hands-on against realistic MY business datasets. By day 3 you've built two interactive dashboards.
Hands-On Labs
8 labs. Real MY datasets.
Every lab uses realistic MY business datasets — sales pipelines, payroll registers, store-level KPIs. By day 3 you've built two interactive dashboards.
01
Workpaper Rebuild
Rebuild a 14-step workpaper into a 3-formula sheet.
Formulas
02
Sales Pivot
6-tab sales analysis with linked slicers + calculated fields.
PivotTables
03
CSV Combine
Combine 12 monthly CSVs into one analysis-ready table.
Power Query
04
ETL Pipeline
Self-service ETL from web + SharePoint + SQL into one model.
Power Query
05
DAX Dashboard
YTD vs prior-YTD financial dashboard with DAX measures.
Power Pivot
06
HR Dashboard
Interactive HR analytics dashboard with slicers + drill-throughs.
Visuals
07
Performance
Tune a 38MB workbook down to 4MB.
Performance
08
Capstone
Build an end-to-end Sales-by-Region interactive dashboard.
Capstone
+ 8 take-home Excel workbook challenges with reference solutions.
Skill Assessment
Practical project. Build a dashboard.
Day 3 ends with a 90-minute practical: build an interactive dashboard from a raw dataset. Pass = working dashboard that meets a 12-point rubric.
Practical Excel Assessment
FormatBuild interactive dashboard from raw data
Duration90 minutes
Passing scorePass 10 / 12 rubric points
Re-testOpen invitation to a future intake
Cohort avg pass rate97% first attempt
Our Practice Programme
01
Day 1 Quiz
30-minute hands-on. Formulas + PivotTables.
02
Day 2 Project
60-minute Power Query + dashboard build.
03
Day 3 Assessment
90-minute capstone build with rubric grading.
04
6-Week Refresh
Repeat assessment 6 weeks later for retention.
0%
Pass Rate
97% of our Excel graduates pass on first attempt.
Most Excel courses end at PivotTables. Power Query is treated as optional. We flip that — Power Query and dynamic arrays are core, because that's where the time-saving is.
MY datasetsModern Excel stack97% first passTake-home libraryLive mentor
Why our pass rate is 97%
Self-study average: ~40%
Self-study Excel hits a wall at Power Query and never recovers. Without live mentor support, the M-language feels alien.
Nexperts: 97%
We unblock Power Query on day 2. We unblock DAX on day 2. By day 3, the assessment is execution, not panic.
Your Analytics Path
Excel pairs with SQL and Power BI.
Excel is the foundation. Stack with SQL (data-warehouse access) or Power BI (PL-300) for the modern BI stack.
