COURSE INFORMATION
Scheduled Dates: 26 – 30 Jan 2026 | 20 – 24 April 2026 | 20 – 24 Jul 2026 | 26 – 30 Oct 2026
Duration: 1 Week
Customized dates and one-on-one sessions can be organized.
Preamble
This CPM intensive one-week course is designed to equip participants with advanced skills in Microsoft Excel and Power BI for data analysis, reporting, and business intelligence. The training focuses on transforming raw data into meaningful insights using powerful tools such as advanced formulas, PivotTables, Power Query, data modeling, and interactive dashboards.
Participants will gain hands-on experience in building automated reports, analyzing large datasets, and creating visually compelling dashboards that support data-driven decision-making.
Target Group
This course is suitable for:
Course Outline
Day 1: Advanced Excel Foundations
• Review of key Excel concepts
• Advanced formulas:
o IF, nested IF, IFS
o VLOOKUP, HLOOKUP, XLOOKUP
o INDEX & MATCH
• Logical and text functions
• Named ranges
• Data validation techniques
Day 2: Data Analysis & Automation in Excel
• Advanced PivotTables and PivotCharts
• Slicers and timelines
• Conditional formatting (advanced rules)
• Introduction to Power Query:
o Importing data
o Cleaning and transforming datasets
• Removing duplicates, splitting/merging columns
• Automating repetitive tasks
Day 3: Excel Dashboards & Data Modeling
• Dashboard design principles
• Creating interactive dashboards in Excel
• Using form controls
• Introduction to data modeling:
o Tables and relationships
o Calculated columns and measures
• Introduction to Power Pivot
Day 4: Introduction to Power BI
• Overview of Power BI ecosystem
• Connecting to different data sources
• Data transformation using Power Query in Power BI
• Data modeling in Power BI:
o Relationships
o Basic DAX formulas
• Creating visualizations:
o Charts, tables, maps
Day 5: Advanced Power BI & Reporting
• Advanced DAX functions
• Creating interactive dashboards
• Filters, slicers, drill-down features
• Data storytelling and visualization best practices
• Publishing and sharing reports
• Course project: Build a complete dashboard
• Review and assessment
REGISTRATION
To register, kindly fill the Seminar Registration Form and send it to us through:
Email: This email address is being protected from spambots. You need JavaScript enabled to view it. , This email address is being protected from spambots. You need JavaScript enabled to view it.
TERMS AND CONDITIONS OF PAYMENT
Kenbelt Business Park, First floor,
Old Mombasa Road,
Nairobi, Kenya.
+254 732 880255
+254 705 880255