Course Requirements

• Basic computer literacy and familiarity with using a computer.
• Basic understanding of data, spreadsheets, and business reporting is helpful but not mandatory.
• Basic knowledge of mathematics and statistics is an advantage.
• Access to a computer with Microsoft Power BI Desktop installed.
• Willingness to participate in practical exercises, data projects, assignments, and assessments.
• No prior professional experience in Power BI or data analysis is required.

Course Description

Data Analysis Using Power BI provides learners with practical skills for importing, cleaning, transforming, analyzing, and visualizing data using Microsoft Power BI. The course focuses on turning raw data from different sources into meaningful insights, interactive reports, and dashboards that support effective business and organizational decision-making.

Learners will explore data preparation, Power Query, data modeling, relationships, calculated columns, measures, DAX (Data Analysis Expressions), interactive visualizations, reports, dashboards, and publishing. The course emphasizes practical techniques for identifying trends, monitoring key performance indicators, and communicating data-driven insights effectively.

Course Outcomes

By the end of this course, learners should be able to:

1. Explain the fundamental concepts and principles of data analysis and business intelligence.
2. Navigate the Microsoft Power BI environment and understand its major components.
3. Import data from spreadsheets, databases, and other common data sources.
4. Clean, transform, and prepare datasets using Power Query.
5. Create effective data models and establish relationships between datasets.
6. Apply DAX formulas and measures to perform advanced data calculations.
7. Create interactive charts, tables, maps, and other data visualizations.
8. Design professional and interactive Power BI reports and dashboards.
9. Analyze data to identify trends, patterns, opportunities, and performance gaps.
10. Develop and monitor key performance indicators (KPIs) using Power BI.
11. Present data insights clearly to support business and organizational decision-making.
12. Publish, share, and maintain Power BI reports while applying appropriate data security and management practices.