Data Analysis
This Power BI course introduces the core steps used to connect, organize, relate, and visualize data in Power BI. It explains how Power BI differs from Excel sheets and how relationships, dashboards, and slicers help turn connected data into accessible visual reports.
- The difference between working with Excel sheets and Power BI.
- How to connect data sources in Power BI.
- The different types of relationships used between data.
- How to manage relationships within a data model.
- How to use dashboards and slicers flexibly.
- How to visualize information through report boards.
- How the Power BI layout supports analysis and documentation.
This course is designed for people who want to use Power BI to analyze and document data more effectively. It is suitable for beginners who need a structured introduction to the interface, data connections, relationships, models, filters, and visualizations before building clearer workplace reports.
Intro
Power BI Layout
Data Model and Relations
Power BI Visual
Dynamic Dashboard and Slicers
Power BI Service
I'm a highly experienced Data Analyst with an
Engineering background. I'm an IT Business Analyst at Reckitt Benckiser.
I became certified by Microsoft in Data Analyzing & Visualization
after being certified in Project Management from the University of
California and Advanced Excel for Business by Macquarie University. I
earned a scholarship in the Next Technology Leaders (NTL) and African
App Launchpad (AAL) in Programming for Data Science with Python
Nanodegree and Data Analyst Nanodegree, after which I earned another
full scholarship in the Advanced Data track sponsored by the Information
Technology Industry Development Agency (ITIDA), FWD and managed by
Udacity and its global leading technology partners!
Furthermore,
I'm a certified trainer in which I trained 15+ Entity for 1400+ Trainee
across 5 different countries making 500+ Training Hours. I believe the
future relies on taking smart business decisions and coming up with
accurate insights about your business based on smart data analysis in
order to improve operational processes and seize better business
opportunities which will lead to higher efficiency and value.
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