Power BI Course in Kenya
25 Hours of Practical Training led by industry experts
Master Data Modeling, DAX, RLS, CoPilot & Fabric
Prepare for Microsoft PL-300 Certification with daily assignments
Exclusive CareerHub Support for interviews, resumes and job search
Lifetime Class Access for ongoing learning
Globally Recognised Training with hands-on exercises
13 Comprehensive Modules for real-world expertise
4.85/55227 EnrolledEnrolled Learners
Overview
What our training includes:
- Learn BI Skills from Middle East industry experts with 10+ years of experience
- Acquire knowledge of retrieving data from various sources & shaping data structures
- Master DAX, Visualization, and Reporting for impactful insights
- Learn to create and manage & monitor workspace usage and performance
- Develop skills in designing, and enhancing reports & dashboards
- Leverage AI Insights with Microsoft CoPilot and optimize with Fabric
- Perform Analysis: Geographical, Customer, Product, Trends and Feasibility
- Identify Business Problems and propose effective solutions
- Work on Real-World Use Cases to master BI analysis techniques
Upcoming sessions
Curriculum
1
Overview of Power BI components (Desktop, Service, Mobile).
2
Copilot Introduction: How to use AI-powered features for data exploration
3
Installing Power BI Desktop and setting up the environment.
4
Navigating the Power BI interface: ribbons, panes, and views.
1
Connecting to various data sources (Excel, SQL, Web APIs).
2
Data profiling, data types, and handling missing values.
3
Advanced transformations: merging, appending, pivoting, unpivoting data.
4
Using Power Query Editor for complex data shaping.
1
Designing star and snowflake schemas.
2
Creating and managing table relationships.
3
DAX basics: calculated columns, measures, and quick measures.
4
Using DAX for basic calculations like SUM, AVERAGE, COUNT.
1
Advanced DAX functions: CALCULATE, FILTER, ALL, RELATED.
2
Time intelligence functions for date-based calculations (e.g., YTD, QTD).
3
Performance optimization techniques: DAX query tuning, minimizing model size (Copilot flags inefficient queries, suggests optimization techniques, and generates reusable patterns).
1
Building advanced visuals: combination charts, gauges, maps, and custom visuals
2
Creating dynamic reports with slicers, bookmarks, and drill-through.
3
Designing for user experience: layout, color schemes, and storytelling.
4
Best practices for dashboard design and performance.
1
Publishing reports and dashboards to Power BI Service.
2
Configuring dataset refresh schedules and managing gateways.
3
Setting up Row-Level Security (RLS) for data access control.
1
Using Copilot to generate natural language insights and queries.
2
Automating data exploration and report generation.
3
Implementing Copilot for predictive analytics and recommendations.
1
Utilizing AI visuals like Key Influencers, Decomposition Tree, and Smart Narrative.
2
Conducting clustering, anomaly detection, and forecasting.
3
Interactive Q&A with natural language queries.
1
Overview of Microsoft Fabric: Synapse, Data Factory, Data Lake, and Power BI.
2
Using OneLake for centralized data storage.
3
Building Synapse Dataflows for real-time data ingestion (AI automates dataflow creation, pipeline monitoring, and anomaly detection).
4
Creating data pipelines for ETL processes and integrating with Power BI (manual oversight ensures enterprise architecture and regulatory governance).
1
Identify 5-7 repeatable BI tasks (data refresh, anomaly detection, dashboard publishing)
2
Redesign into AI-driven workflows with clear human validation checkpoints
3
Define decision boundaries between AI automation and manual oversight
4
Select 3 areas for Agentic AI implementation with productivity, speed, and scale justifications
5
Identify 2 areas requiring manual control with risk, compliance, and ethical considerations
6
Develop implementation roadmap with success metrics
7
Quantify AI productivity improvements (time savings, error reduction, scalability)
8
Assess risks of autonomous AI operations without human control
9
Create governance framework balancing automation with strategic oversight
Meet your Trainer
Our Expert Instructors
We, at Learners Point, take immense pride in our teaching methods and instructors. Our instructors are some of the best experts from their fields and employ a practical approach to learning. Many of them are globally recognised and have a diverse set of experience in their field of expertise. You are always sure to have the best in the industry as your teachers who are ready to guide you at every step and make the experience informative yet enjoyable. Apart from the focus on learning your chosen course, our instructors also encourage students to develop communication skills and interpersonal skills necessary to excel in the practical world.
Our cutting edge teaching methods make every program an immersive and productive experience for the learners. Our learning methods are research-driven and are continuously updated to stay relevant to present times as well as the future. You will enjoy practical applications of everything learned through theory and regular mock examinations to help monitor your progress. Our courses are led by an instructor in a classroom setup and we do offer online high-quality sessions as well for individuals. We also monitor the training sessions with a progress tracker to maintain high standards of instruction and ethics.
Learning Outcomes
After completing this training, you will be able to:
1
Understand the roles and responsibilities of BI Analysts and Data Analysts
2
Master Microsoft Power BI to model, transform and visualise data
3
Derive insights to perform optimisation using Microsoft CoPilot and Fabric
4
Address real-life business problems by developing analytical expertise
5
Become a Microsoft Certified PL-300T00 Microsoft Power BI Data Analyst
6
Build a strong portfolio by working on real-world use cases
7
Earn Learners Point and KHDA Certifications
KHDA Certificate
Earn a KHDA attested Course Certificate. The Knowledge and Human Development Authority (KHDA) is the educational quality assurance and regulatory authority of the Government of Dubai, United Arab Emirates.
Learners Point Certificate
Earn a Course Completion Certificate, an official Learners Point credential that confirms that you have successfully completed a course with us.
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Frequently asked questions
The Power BI Course in Kenya is beneficial for IT professionals seeking to enhance their data analytics skills, including data analysts, business intelligence professionals, and any individuals interested in harnessing the power of data.
The Power BI Course prepares individuals in Kenya with in-demand skills in data analytics in power BI. This enhances career prospects in roles such as data analysts, business intelligence specialists, and data visualization experts across various industries.
Participants of the Power BI Course will learn data preparation, modelling, DAX calculations, report design, and advanced analytics using Power BI. In our training, using practical sessions participants focus on optimising model performance and creating impactful dashboards.
Power BI offers more advanced visualization, automation and data processing capabilities than Excel for data analysis. This makes it better for individuals handling large datasets and real-time analytics.
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