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What You'll Learn

Master data science with Power BI. Learn how to transform raw data into compelling visualizations,  create interactive dashboards, and uncover valuable insights to drive data-driven decisions.

Course Benefits
Industry Certification

Internationally recognized qualification

Expert Instructors

Learn from industry professionals

Dedicated Support

Assistance during and after training

Practical Skills

Apply knowledge immediately

Comprehensive 10-day curriculum with all materials included
Hands-on exercises and real-world case studies
Valuable networking opportunities with peers and experts
Post-course resources and refresher materials
Training on Data Science with Power BI - Course Cover Image
Duration 10 Days
Level Advanced
Format In-Person

Course Overview

Featured

Power BI is an industry-leading business analytics tool used to convert data into interactive insights. In today's data-driven world, having the skills to analyze and visualize data is vital for making informed business decisions. This course offers participants practical knowledge of Power BI in the context of data science, equipping them to develop data models, visualize trends, and generate compelling reports that drive business performance. Participants will learn to transform raw data into actionable insights that directly impact decision-making, making this course essential for anyone looking to excel in data analytics.

Participants will learn how to collect, transform, model, and visualize data using Power BI’s robust capabilities. The course covers everything from the basics of data importing to advanced analytics, enabling learners to create professional dashboards and interactive reports. Hands-on sessions will ensure that participants not only understand the theoretical aspects but also gain real-world experience in solving complex data problems using Power BI.

Duration

10 Days

Who Should Attend

  • Business analysts
  • Data scientists and engineers
  • IT professionals
  • Project managers
  • Financial analysts
  • Decision-makers seeking data-driven insights
  • Anyone interested in improving their ability to visualize and analyze data using Power BI

Course Impact

Organizational Impact

  • Enhance decision-making by turning raw data into actionable insights and visual reports.

  • Improve operational efficiency through automated data processes.

  • Foster a data-driven culture to uncover trends, reduce costs, and boost profitability.

  • Ensure consistency and reliability using Power BI for business intelligence.

Personal Impact

  • Gain a highly in-demand skill in data analysis and visualization.

  • Progress into senior leadership, business intelligence, or strategic planning roles.

  • Contribute to organizational success with data-driven recommendations.

  • Lead and champion data initiatives with confidence.

Course Objectives

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

  • Understand the fundamentals of data science and its application in business decision-making.
  • Master Power BI’s tools for data preparation, transformation, and visualization.
  • Learn how to build and share interactive reports and dashboards.
  • Explore machine learning models and predictive analytics within Power BI.
  • Develop practical skills for analyzing large datasets, identifying patterns, and drawing actionable insights.
  • Gain the ability to communicate complex data findings to stakeholders effectively.

Course Outline

Module 1: Introduction to Power BI and Data Science Concepts

  • Overview of Power BI architecture
  • Key concepts in data science and their applications
  • Introduction to data preparation and transformation

Module 2:   Data Loading and Transformation

  • Connecting to various data sources (Excel, SQL, APIs, etc.)
  • Cleaning and shaping data using Power Query Editor
  • Creating relationships between data tables

Module 3:  Data Modeling and DAX Functions

  • Creating efficient data models
  • Introduction to DAX and its applications
  • Calculated columns and measures

Module 4:  Building Data Visualizations

  • Choosing the right charts and visuals for your data
  • Customizing visuals to meet specific reporting needs
  • Best practices for effective data visualization

Module 5:  Developing Interactive Dashboards

  • Building interactive dashboards with slicers, filters, and drill-downs
  • Creating and sharing custom themes for consistent design
  • Real-time dashboard monitoring

Module 6:  Advanced Analytics in Power BI

  • Applying advanced DAX functions for complex calculations
  • Predictive analytics using machine learning models
  • Time series analysis and forecasting

Module 7: Using AI Features in Power BI

  • Natural language query (Q&A) for data insights
  • Integration of AI-driven visuals
  • Understanding Power BI’s AI-driven anomaly detection

Module 8: Publishing and Sharing Power BI Reports

  • Power BI Service vs. Power BI Desktop
  • Publishing reports and managing access
  • Sharing dashboards and reports via apps, emails, and embedded content

Module 9: Automating Reports and Dashboards

  • Setting up data refresh and scheduling updates
  • Using Power Automate to create automated workflows
  • Integration with Microsoft Teams and SharePoint

Module 10: Best Practices for Data Presentation

  • How to effectively communicate data-driven insights
  • Tailoring reports and presentations for different stakeholders
  • Storytelling with data to drive business actions

Prerequisites

No specific prerequisites required. This course is suitable for beginners and professionals alike.

Course Administration Details

Customized Training

This training can be tailored to your institution needs and delivered at a location of your choice upon request.

Requirements

Participants need to be proficient in English.

Training Fee

The fee covers tuition, training materials, refreshments, lunch, and study visits. Participants are responsible for their own travel, visa, insurance, and personal expenses.

Certification

Upon successful completion of this course, participants will be issued with a certificate from Ideal Workplace Solutions certified by the National Industrial Training Authority (NITA) under License NO: NITA/TRN/2734.

Accommodation

Accommodation can be arranged upon request. Contact via email for reservations.

Payment

Payment should be made before the training starts, with proof of payment sent to outreach@idealworkplacesolutions.org.

For further inquiries, please contact us on details below:

Register for the Course

Select a date and location that works for you.

In-Person Training Schedules


January 2026
Date Days Venue Fee (VAT Incl.) Register
5 Jan - 16 Jan 2026 10 days Nairobi, Kenya KES 198,000 | USD 2,800 Enroll Now
5 Jan - 16 Jan 2026 10 days Cape Town, South Africa USD 7,500 Enroll Now
5 Jan - 16 Jan 2026 10 days Dubai, United Arabs Emirates USD 8,000 Enroll Now
5 Jan - 16 Jan 2026 10 days Zanzibar, Tanzania USD 4,400 Enroll Now
12 Jan - 23 Jan 2026 10 days Mombasa, Kenya KES 230,000 | USD 3,000 Enroll Now
12 Jan - 23 Jan 2026 10 days Kigali, Rwanda USD 3,800 Enroll Now
12 Jan - 23 Jan 2026 10 days Accra, Ghana USD 7,200 Enroll Now
12 Jan - 23 Jan 2026 10 days Kampala, Uganda USD 3,800 Enroll Now
19 Jan - 30 Jan 2026 10 days Dar es Salaam, Tanzania USD 4,300 Enroll Now
19 Jan - 30 Jan 2026 10 days Johannesburg, South Africa USD 6,500 Enroll Now
19 Jan - 30 Jan 2026 10 days Nakuru, Kenya KES 210,000 | USD 2,800 Enroll Now
19 Jan - 30 Jan 2026 10 days Dakar, Senegal USD 6,000 Enroll Now
26 Jan - 6 Feb 2026 10 days Pretoria, South Africa USD 6,300 Enroll Now
26 Jan - 6 Feb 2026 10 days Kisumu, Kenya KES 210,000 | USD 3,000 Enroll Now
26 Jan - 6 Feb 2026 10 days Naivasha, Kenya KES 210,000 | USD 2,800 Enroll Now
26 Jan - 6 Feb 2026 10 days Arusha, Tanzania USD 4,300 Enroll Now
5 Jan - 16 Jan 2026
10 days
Venue:
Nairobi, Kenya
Fee (VAT Incl.):
KES 198,000
USD 2,800
Enroll Now
5 Jan - 16 Jan 2026
10 days
Venue:
Cape Town, South Africa
Fee (VAT Incl.):
USD 7,500
Enroll Now
5 Jan - 16 Jan 2026
10 days
Venue:
Dubai, United Arabs Emirates
Fee (VAT Incl.):
USD 8,000
Enroll Now
5 Jan - 16 Jan 2026
10 days
Venue:
Zanzibar, Tanzania
Fee (VAT Incl.):
USD 4,400
Enroll Now
12 Jan - 23 Jan 2026
10 days
Venue:
Mombasa, Kenya
Fee (VAT Incl.):
KES 230,000
USD 3,000
Enroll Now
12 Jan - 23 Jan 2026
10 days
Venue:
Kigali, Rwanda
Fee (VAT Incl.):
USD 3,800
Enroll Now
12 Jan - 23 Jan 2026
10 days
Venue:
Accra, Ghana
Fee (VAT Incl.):
USD 7,200
Enroll Now
12 Jan - 23 Jan 2026
10 days
Venue:
Kampala, Uganda
Fee (VAT Incl.):
USD 3,800
Enroll Now
19 Jan - 30 Jan 2026
10 days
Venue:
Dar es Salaam, Tanzania
Fee (VAT Incl.):
USD 4,300
Enroll Now
19 Jan - 30 Jan 2026
10 days
Venue:
Johannesburg, South Africa
Fee (VAT Incl.):
USD 6,500
Enroll Now
19 Jan - 30 Jan 2026
10 days
Venue:
Nakuru, Kenya
Fee (VAT Incl.):
KES 210,000
USD 2,800
Enroll Now
19 Jan - 30 Jan 2026
10 days
Venue:
Dakar, Senegal
Fee (VAT Incl.):
USD 6,000
Enroll Now
26 Jan - 6 Feb 2026
10 days
Venue:
Pretoria, South Africa
Fee (VAT Incl.):
USD 6,300
Enroll Now
26 Jan - 6 Feb 2026
10 days
Venue:
Kisumu, Kenya
Fee (VAT Incl.):
KES 210,000
USD 3,000
Enroll Now
26 Jan - 6 Feb 2026
10 days
Venue:
Naivasha, Kenya
Fee (VAT Incl.):
KES 210,000
USD 2,800
Enroll Now
26 Jan - 6 Feb 2026
10 days
Venue:
Arusha, Tanzania
Fee (VAT Incl.):
USD 4,300
Enroll Now

Request Custom Training


We offer customized training solutions tailored to your organization's specific needs:

  • Training at your preferred location
  • Customized content to address your specific challenges
  • Flexible scheduling to accommodate your team
  • Cost-effective solution for training multiple employees
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Frequently Asked Questions

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To equip you with the skills to use Power BI for advanced data science tasks, including data modeling, predictive analytics, and creating strategic business insights.
This training goes beyond dashboards, teaching you to prepare data, build predictive models, and use advanced analytics to uncover hidden patterns and forecast future trends.
You'll master creating complex data models, building relationships between tables, and using DAX formulas to derive new metrics and perform powerful time-intelligence analysis.
You'll learn to use Power BI's built-in AI capabilities and machine learning models to forecast outcomes, identify key influencers, and predict trends in your data.
The training covers features like the Power Query Editor for data preparation, the Data Modeling View for relationships, and the advanced analytics tools in Power BI.
Training on Data Science with Power BI

Next class starts 5 Jan 2026

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