In today’s rapidly evolving data-driven landscape, the ability to analyse and visualise data effectively is more crucial than ever. The Power BI (English) course offers you the opportunity to master one of the leading tools in business intelligence. With a focus on developing skills in data modelling, DAX and data visualisation, this course is designed to equip you with the expertise needed to transform raw data into insightful business decisions. Our comprehensive curriculum ensures that you can take your analysis to the next level, making you a valuable asset in any organisation. Delivered entirely online, you can learn at your own pace, fitting your studies around your existing commitments. Join us to unlock the potential of data and position yourself at the forefront of a high-demand sector, where your analytical skills will be in constant demand.
Power BI (English)
Big Data
40 hours
Introduction
Objectives
- To understand the basics of Power BI and its core features.
- To learn how to create and manage data models in Power BI.
- To master the use of DAX for data analysis and calculations.
- To design effective and interactive visualisations using Power BI.
- To develop skills in transforming raw data into insightful reports.
- To explore advanced Power BI features for improved data analysis.
- To be able to publish and share reports securely online.
Table of Contents
UNIT 1. GETTING STARTED
Introduction to Power BI
Different types of Power BI
First simple report
Power Query: Data Sources
Data Transformation
UNIT 2. DATA MODELLING AND DAX
Data Modelling
Starting with DAX (I)
Starting with DAX (II)
Becoming proficient in DAX (I)
Becoming proficient in DAX (II)
UNIT 3. DATA VISUALISATION
Table and Matrix
Trends
How to filter your data correctly
Bookmarks
Drill through
UNIT 4. TAKING IT TO THE NEXT LEVEL
An in-depth look at the Power BI Service
Sharing content in the Power BI Service
Comparing Power BI Service and Power BI Report Server
Integrating Python and R in Power BI Desktop
Introducing Bravo for Power BI Desktop
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