25 Hours of Practical Training led by industry experts
13 Comprehensive Modules for real-world expertise
Master Data Modeling, DAX, RLS, CoPilot & Fabric
Prepare for the Microsoft PL-300 Certification with daily assignments
Exclusive CareerHub Support for interviews, resumes, and job search
Lifetime Class Access for ongoing learning
Pay with easy instalments
What we are going to teach you:
Upcoming sessions
Overview of Power BI components (Desktop, Service, Mobile).
Copilot Introduction: How to use AI-powered features for data exploration
Installing Power BI Desktop and setting up the environment.
Navigating the Power BI interface: ribbons, panes, and views.
Connecting to various data sources (Excel, SQL, Web APIs).
Data profiling, data types, and handling missing values.
Advanced transformations: merging, appending, pivoting, unpivoting data.
Using Power Query Editor for complex data shaping.
Designing star and snowflake schemas.
Creating and managing table relationships.
DAX basics: calculated columns, measures, and quick measures.
Using DAX for basic calculations like SUM, AVERAGE, COUNT.
Advanced DAX functions: CALCULATE, FILTER, ALL, RELATED.
Time intelligence functions for date-based calculations (e.g., YTD, QTD).
Performance optimization techniques: DAX query tuning, minimizing model size (Copilot flags inefficient queries, suggests optimization techniques, and generates reusable patterns).
Building advanced visuals: combination charts, gauges, maps, and custom visuals
Creating dynamic reports with slicers, bookmarks, and drill-through.
Designing for user experience: layout, color schemes, and storytelling.
Best practices for dashboard design and performance.
Publishing reports and dashboards to Power BI Service.
Configuring dataset refresh schedules and managing gateways.
Setting up Row-Level Security (RLS) for data access control.
Using Copilot to generate natural language insights and queries.
Automating data exploration and report generation.
Implementing Copilot for predictive analytics and recommendations.
Utilizing AI visuals like Key Influencers, Decomposition Tree, and Smart Narrative.
Conducting clustering, anomaly detection, and forecasting.
Interactive Q&A with natural language queries.
Overview of Microsoft Fabric: Synapse, Data Factory, Data Lake, and Power BI.
Using OneLake for centralized data storage.
Building Synapse Dataflows for real-time data ingestion (AI automates dataflow creation, pipeline monitoring, and anomaly detection).
Creating data pipelines for ETL processes and integrating with Power BI (manual oversight ensures enterprise architecture and regulatory governance).
Identify 5-7 repeatable BI tasks (data refresh, anomaly detection, dashboard publishing)
Redesign into AI-driven workflows with clear human validation checkpoints
Define decision boundaries between AI automation and manual oversight
Select 3 areas for Agentic AI implementation with productivity, speed, and scale justifications
Identify 2 areas requiring manual control with risk, compliance, and ethical considerations
Develop implementation roadmap with success metrics
Quantify AI productivity improvements (time savings, error reduction, scalability)
Assess risks of autonomous AI operations without human control
Create governance framework balancing automation with strategic oversight
After the course concludes, you will be able to:
1
Understand the key roles and responsibilities of BI and Data Analysts
2
Build confidence in data modeling and visual creation using Power BI
3
Use Microsoft CoPilot and Fabric to analyze and interpret data easily
4
Improve your problem-solving skills to tackle real-world business challenges with data
5
Prepare thoroughly for the Microsoft PL-300 Power BI certification exam
6
Develop a strong project portfolio that showcases your Power BI expertise
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Our Power BI course in Ethiopia is crafted to help you turn raw data into meaningful, actionable insights. With hands-on training, learn how to create dynamic dashboards and generate reports that help businesses make smarter decisions. The course provides a strong foundation in data visualization, guiding you to analyze data effectively using Microsoft Power BI.
This course is perfect for beginners, even if you’ve never used the tool before. We start from the very basics and gradually guide you through the process of building simple dashboards and reports. It is easier to understand.
Power BI is becoming increasingly important as Ethiopia’s tech and business sectors grow rapidly. As businesses begin to rely more on data to stay competitive, mastering business intelligence and data visualization becomes essential. This course helps you meet the demand for effective data analysis and visualization in today’s fast-evolving market.
By taking our Power BI course in Ethiopia, individuals are able to transform raw data into clear, actionable insights. This allows you to quickly identify trends and make well-informed decisions. It enables businesses to act with confidence and drive positive results.
The Power BI certification includes training on automating reports and scheduling data refreshes. This saves time and reduces manual work by ensuring that reports are always up to date. This provides decision-makers with real-time information.