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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 |
Aug 25- Aug 29, 2026 | Nairobi | 2,350 | |
Sep 8- Sep 12, 2026 | Nairobi | 2,350 | |
Sep 22- Sep 26, 2026 | Mombasa | 2,700 | |
Oct 6- Oct 10, 2026 | Nairobi | 2,350 | |
Oct 22- Oct 26, 2026 | Kigali | 3,850 | |
Nov 3- Nov 7, 2026 | Nairobi | 2,350 | |
Nov 17- Nov 21, 2026 | Dar es Salaam | 3,850 | |
Dec 1- Dec 5, 2026 | Nairobi | 2,350 | |
Dec 15- Dec 19, 2026 | Pretoria | 5,950 | |
May 5- May 9, 2027 | Nairobi | 2,350 | |
May 19- May 23, 2027 | Kigali | 3,850 | |
Jun 2- Jun 6, 2027 | Mombasa | 2,700 | |
Jun 16- Jun 20, 2027 | Nairobi | 2,350 | |
Jul 7- Jul 11, 2027 | Pretoria | 5,950 | |
Jul 21- Jul 25, 2027 | Nairobi | 2,350 | |
Aug 11- Aug 15, 2027 | Dar es Salaam | 3,850 |
Start & End Date | Fee (USD) | Register |
Aug 25- Aug 29, 2026 | 800 | |
Sep 8- Sep 12, 2026 | 800 | |
Sep 22- Sep 26, 2026 | 800 | |
Oct 6- Oct 10, 2026 | 800 | |
Oct 22- Oct 26, 2026 | 800 | |
Nov 3- Nov 7, 2026 | 800 | |
Nov 17- Nov 21, 2026 | 800 | |
Dec 1- Dec 5, 2026 | 800 | |
Dec 15- Dec 19, 2026 | 800 | |
May 5- May 9, 2027 | 800 | |
May 19- May 23, 2027 | 800 | |
Jun 2- Jun 6, 2027 | 800 | |
Jun 16- Jun 20, 2027 | 800 | |
Jul 7- Jul 11, 2027 | 800 | |
Jul 21- Jul 25, 2027 | 800 | |
Aug 11- Aug 15, 2027 | 800 |
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