Data analytics is the collection, transformation, and organization of data in order to draw conclusions, make predictions, and drive informed decision making. Companies need data analysts to sort through this data to help make decisions about their products, services or business strategies. Everything you need to get started in the world of data analytics is already on your computer in the wonderful application called Excel which has robust features. Microsoft Power BI is another tool from Microsoft that gathers and processes your data, analyzes and provides data-driven insights that enable managers, business analysts and key decision makers to make informed decisions in real-time.
Candidates for this training will deliver actionable insights by working with available data and applying domain expertise. They provide meaningful business value through easy-to-comprehend data visualizations, enable others to perform self-service analytics and deploy and configure solutions for consumption.
Course Duration
Classroom: 10 Days
Online: 14 Days
Classroom Training Schedule
Start & End Date | Venue | Cost: (USD, Excl. VAT) | Enroll |
Jan 27 - Feb 7 2025 | Nairobi | 1800 | |
Feb 10 - Feb 21 2025 | Nairobi | 1800 | |
Feb 24 - Mar 7 2025 | Nairobi | 1800 | |
Mar 10 - Mar 21 2025 | Nairobi | 1800 | |
Mar 24 - Apr 4 2025 | Nairobi | 1800 | |
Apr 7 - Apr 18 2025 | Nairobi | 1800 | |
Apr 21 - May 2 2025 | Nairobi | 1800 | |
May 5 - May 16 2025 | Nairobi | 1800 | |
May 19 - May 30 2025 | Nairobi | 1800 | |
Jun 2 - Jun 13 2025 | Nairobi | 1800 | |
Jun 16 - Jun 27 2025 | Nairobi | 1800 | |
Jun 30 - Jul 11 2025 | Nairobi | 1800 |
Online Training Schedule
Start & End Date | Course Duration | Cost (USD, Excl. VAT) | Enroll |
Feb 3 - Feb 20 2025 | 14 Days | 1800 | |
Feb 17 - Mar 6 2025 | 14 Days | 1800 | |
Mar 3 - Mar 20 2025 | 14 Days | 1800 | |
Mar 17 - Apr 3 2025 | 14 Days | 1800 | |
Mar 31 - Apr 17 2025 | 14 Days | 1800 | |
Apr 14 - May 1 2025 | 14 Days | 1800 | |
Apr 28 - May 15 2025 | 14 Days | 1800 | |
May 12 - May 29 2025 | 14 Days | 1800 | |
May 26 - Jun 12 2025 | 14 Days | 1800 | |
Jun 9 - Jun 26 2025 | 14 Days | 1800 | |
Jun 23 - Jul 10 2025 | 14 Days | 1800 |
Curriculum
- 15 Sections
- 0 Lessons
- 10 Days
- Introduction to Data Analytics0 Items
- Data Cleaning and Transformation using Excel0 Items
- Understanding Excel Functions and Formulas for Data Analytics0 Items
- Conditional Formatting in Excel0 Items
- Pivot Tables0 Items
- Pivot Charts0 Items
- Dashboards in Excel0 Items
- Introduction to Power BI0 Items
- Getting and Transforming Data0 Items
- Data Modeling in Power BI0 Items
- Working with DAX0 Items
- Dashboards in Power BI0 Items
- Power BI Report Design0 Items
- Power BI Editing Interactions and Filters0 Items
- Power BI Service0 Items
Requirements
- All Levels
- Beginner
- Intermediate
Target audiences
- Statisticians
- M&E Specialists
- Data Scientists
