Data Analysis and Visualization using Power BI Training Course


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We are proud to offer this course in a variety of training formats to suit your needs. We use the highest quality learning facilities to make sure your experience is as comfortable as possible. Our face to face calendar allows you to choose any classroom course of your choice to be delivered at any venue of your choice - offering you the ultimate in convenience and value for money.

June 2025

Date Duration Location Standard Fee Action
16 Jun - 20 Jun 5 days Half-day KES 55,000 | $ 595 Individual Group

September 2025

Date Duration Location Standard Fee Action
15 Sep - 19 Sep 5 days Half-day KES 55,000 | $ 595 Individual Group

October 2025

Date Duration Location Standard Fee Action
20 Oct - 24 Oct 5 days Half-day KES 55,000 | $ 595 Individual Group

November 2025

Date Duration Location Standard Fee Action
17 Nov - 21 Nov 5 days Half-day KES 55,000 | $ 595 Individual Group

December 2025

Date Duration Location Standard Fee Action
15 Dec - 19 Dec 5 days Half-day KES 55,000 | $ 595 Individual Group

Course Overview:

This hands-on course introduces professionals to the power of Microsoft Power BI for data analysis and visualization. Participants will learn how to import, clean, transform, model, and visualize data to support business intelligence and decision-making processes. Real-life datasets and business scenarios will be used for practical application, ensuring participants leave with job-ready skills.


Course Duration:

5 Days


Target Audience:

  • Business analysts

  • Data analysts

  • Financial analysts

  • MIS officers

  • Researchers and M&E specialists

  • Professionals involved in reporting and dashboard creation


Personal Impact:

  • Gain practical skills in using Power BI to analyze and visualize data

  • Learn how to create compelling reports and dashboards

  • Improve your ability to make data-driven decisions


Organizational Impact:

  • Build internal capacity for data analysis and reporting

  • Improve reporting accuracy and efficiency

  • Enhance decision-making with dynamic dashboards and real-time insights

 


Course Level:

Course Objectives:

By the end of this course, participants will be able to:

  1. Understand the Power BI environment and its components

  2. Connect to and transform data from various sources

  3. Create data models and perform data analysis using DAX

  4. Design interactive reports and dashboards

  5. Share insights and collaborate using Power BI Service


Course Outline:


Module 1: Introduction to Power BI and Data Loading

  • Overview of Power BI ecosystem

  • Power BI Desktop vs Power BI Service

  • Data types and data sources

  • Importing and connecting to data

  • Introduction to Power Query Editor

Hands-On Practice:

  • Import and clean data from Excel, CSV, and Web

  • Case Study: Connecting multiple sources for a regional sales dataset using Power Query


Module 2: Data Transformation and Preparation

  • Data shaping and cleaning techniques

  • Merging and appending queries

  • Handling missing data and errors

  • Creating custom columns and calculated fields

Hands-On Practice:

  • Transform raw sales data into clean datasets ready for analysis

  • Real-Life Project: Preparing an HR dataset for attrition analysis


Module 3: Data Modeling and DAX Fundamentals

  • Building relationships between tables

  • Star schema vs snowflake schema

  • Introduction to DAX (Data Analysis Expressions)

  • Creating calculated columns, measures, and KPIs

Hands-On Practice:

  • Build a model to analyze revenue and expenses

  • Case Study: Budget vs actual performance using DAX calculations


Module 4: Visualizations and Dashboard Design

  • Choosing the right visualizations

  • Customizing visuals and themes

  • Slicers, filters, and drill-downs

  • Best practices for interactive reports

Hands-On Practice:

  • Design a dashboard for sales performance by region

  • Real-Life Project: Executive summary dashboard for nonprofit project indicators


Module 5: Publishing and Sharing Insights

  • Introduction to Power BI Service

  • Publishing and sharing reports

  • Creating dashboards in Power BI Online

  • Row-Level Security and workspace management

  • Scheduling data refreshes

Hands-On Practice:

  • Publish a dashboard and set up scheduled refresh

  • Case Study: Collaborating on reports in a shared workspace with access control


Related Courses


Course Administration Details:

Methodology

These instructor-led training sessions are delivered using a blended learning approach and include presentations, guided practical exercises, web-based tutorials, and group work. Our facilitators are seasoned industry experts with years of experience as professionals and trainers in these fields. All facilitation and course materials are offered in English. Participants should be reasonably proficient in the language.

Accreditation

Upon successful completion of this training, participants will be issued an Indepth Research Institute (IRES) certificate certified by the National Industrial Training Authority (NITA).

Training Venue

The training will be held at IRES Training Centre. The course fee covers the course tuition, training materials, two break refreshments, and lunch. All participants will additionally cater to their travel expenses, visa application, insurance, and other personal expenses.

Accommodation and Airport Transfer

Accommodation and Airport Transfer are arranged upon request. For reservations contact the Training Officer.

Tailor-Made

This training can also be customized to suit the needs of your institution upon request. You can have it delivered in our IRES Training Centre or at a convenient location. For further inquiries, please contact us on:

Payment

Payment should be transferred to the IRES account through a bank on or before the start of the course. Send proof of payment to [email protected]


Course Registration

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Who else has taken this course?


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1 Videos Nigerian Airspace Management Authority (NAMA) Nigeria
2 AAMSTED Ghana
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4 International Rescue Committee Kenya
5 Data Specialist USAID Uganda
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