Introduction to Data Analytics with Power BI.

Overview

It is a hands-on course that introduces learners to data analytics using Power BI. The course covers the complete data analytics workflow, including data preparation, modeling, visualization, basic DAX calculations, and dashboard creation.

Through practical exercises and real-world datasets, learners develop the skills needed to transform raw data into meaningful insights and interactive reports. The course also introduces basic text analytics and AI-assisted features in Power BI, culminating in an end-to-end analytics project.INTENDED AUDIENCE:

The micro-credential course is aimed at students from non-technical Bachelors or Masters programmes.PRE-REQUISITES:

Basic reading, writing, and understanding skills in English and understanding of data is required.

Syllabus

• Introduction to Data Analytics
Overview of Data Analytics Concepts
Importance of Data-Driven Decision Making
• Introduction to Power BI
What is Power BI?
Installing and Setting Up Power BI
• Data Preparation
Connecting to Data Sources
Data Cleaning and Transformation with Power Query
Data Shaping Techniques
• Data Modeling
Understanding Data Models
Creating Relationships between Data Tables
Introduction to Calculated Columns and Measures
• Data Visualization
Visualization Best Practices
Creating Basic Visuals: Charts, Graphs, and Tables
Customizing Visuals and Interactions
• Basic DAX Calculations
Understanding Data Analysis Expressions (DAX)
Writing Basic DAX Formulas
Common DAX Functions for Beginners
• Dashboard Creation
Designing Interactive Dashboards
Using Filters, Slicers, and Bookmarks
Sharing and Publishing Dashboards
• Introduction to Text Analytics
Basic Text Analytics in Power BI
Sentiment Analysis and Word Clouds
• AI-Assisted Features in Power BI
Using Power BI's AI Features
Introduction to Q&A and Quick Insights
• Practical Exercises and Real-World Datasets
Hands-On Practice Sessions
Analyzing Sample Business Datasets
• End-to-End Analytics Project
Project Definition and Scope
Data Collection and Preparation
Developing and Presenting Interactive Reports and Dashboards
• Course Review and Next Steps
Recap of Key Concepts and Tools
Future Learning Paths in Data Analytics and Power BI

---

Subjects

Data Science