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Training Course on Data Analytics Using Excel and Power BI
Program brief
This course is designed to equip participants with the essential skills and knowledge required to analyze data effectively using Microsoft Excel and Power BI. Participants will learn how to transform raw data into actionable insights, create compelling visualizations, and make data-driven decisions. The course combines theoretical concepts with hands-on exercises to ensure practical understanding and application in real-world scenarios.
Course Objectives
By the end of this course, participants will be able to:
Recommended for;
This course is ideal for:
Duration
10 days
Course Outline
Module 1: Introduction to Data Analytics
Module 2: Data Manipulation and Analysis in Excel
Module 3: Data Visualization in Excel
Module 4: Introduction to Power BI
Module 5: Data Modeling in Power BI
Module 6: Building Interactive Dashboards in Power BI
Module 7: Advanced Data Analytics Techniques
Module 8: Sharing and Collaborating with Power BI
Module 9: Communicating Data Insights
General remarks
Start & End Date | Location | Fee (USD) | Register |
August 11 – August 15 | Dar es Salaam | 3,850 | |
August 25 – August 29, 2025 | Nairobi | 2,350 | |
September 8 – September 12, 2025 | Nairobi | 2,350 | |
September 22 – September 26, 2025 | Mombasa | 2,700 | |
October 6 – October 10, 2025 | Nairobi | 2,350 | |
October 22 – October 26, 2025 | Kigali | 3,850 | |
November 3 – November 7, 2025 | Nairobi | 2,350 | |
November 17 – November 21, 2025 | Dar es Salaam | 3,850 | |
December 1 – December 5, 2025 | Nairobi | 2,350 | |
December 15 – December 19, 2025 | Pretoria | 5,950 | |
May 5- May 9, 2026 | Nairobi | 2,350 | |
May 19- May 23, 2026 | Kigali | 3,850 | |
Jun 2- Jun 6, 2026 | Mombasa | 2,700 | |
Jun 16- Jun 20, 2026 | Nairobi | 2,350 | |
Jul 7- Jul 11, 2026 | Pretoria | 5,950 | |
Jul 21- Jul 25, 2026 | Nairobi | 2,350 |
Start & End Date | Fee (USD) | Register |
August 11 – August 15 | 800 | |
August 25 – August 29, 2025 | 800 | |
September 8 – September 12, 2025 | 800 | |
September 22 – September 26, 2025 | 800 | |
October 6 – October 10, 2025 | 800 | |
October 22 – October 26, 2025 | 800 | |
November 3 – November 7, 2025 | 800 | |
November 17 – November 21, 2025 | 800 | |
December 1 – December 5, 2025 | 800 | |
December 15 – December 19, 2025 | 800 | |
May 5- May 9, 2026 | 800 | |
May 19- May 23, 2026 | 800 | |
Jun 2- Jun 6, 2026 | 800 | |
Jun 16- Jun 20, 2026 | 800 | |
Jul 7- Jul 11, 2026 | 800 | |
Jul 21- Jul 25, 2026 | 800 |
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