Proper data analysis relies on proper data modeling. This first chapter covers the basic concepts and teaches you how to set up and load data from multiple sources.

Data modeling and table properties

Power Query vs. Power BI

Load and transform data

Loading a CSV

Rounding, replacement, and sorting

Data categorization and visibility

Working with string columns

Defining Tables

In this chapter, we continue comparing Power Query and Power BI practices. Later, you will exercise combining tables and column extraction on Power BI.

Shaping tables

Power Query vs. Power BI again

Merging and appending queries

Breaking a file into multiple tables

Appending files

Column extraction

Shaping Tables

In this chapter, you'll learn more about one of the most popular approaches to data modeling. You'll get familiar with the basic building blocks of the dimensional model; facts, dimensions, and star schemas.

Dimensional modeling

Options

Fact

Dimension

Facts vs. dimensions

Creating a star schema

Splitting data into facts and dimensions

Load a new dimension

Create another dimension

Dimensional Modeling

In this final chapter,  you'll continue with an extension of the star schema: the snowflake schema. Lastly, you will have your first practice with performance analyzer in Power BI.

Star and snowflake schemas

Snowflake vs. star schema

Evaluating performance

Star schemas

Snowflake schemas

The performance analyzer

Congratulations!

Star and Snowflake schemas

DataCamp vs. Local Experience

Exercises and Datasets

Course Glossary

Proper data modeling is the foundation of data analysis and creating reports in Power BI. This course lets you explore a toolbox of data cleaning, shaping, and loading techniques, which you can apply to your data. You'll get to know how to choose between Power Query and Power BI, and discover the foundations of data modeling by going into star and snowflake schemas. You'll apply all of this to real-world datasets issued by the United States Census Bureau.

The videos contain live transcripts you can reveal by clicking "Show transcript" at the bottom left of the videos.
The course glossary can be found on the right in the resources section.
To obtain CPE credits you need to complete the course and reach a score of 70% on the qualified assessment. You can navigate to the assessment by clicking on the CPE credits callout on the right.

<h2>Foundations of Data Modelling</h2>
Proper data modeling is the foundation of data analysis and creating reports in Power BI. This course lets you explore a toolbox of data cleaning, shaping, and loading techniques, which you can apply to your data. 
<br><br>
<h2>Diving into Power Query</h2>
You'll get to know how to choose between Power Query and Power BI, and discover the foundations of data modeling by going into star and snowflake schemas. You'll apply all of this to real-world datasets issued by the United States Census Bureau.


Introduction to Power BI

Learn how to set up and load data into Power BI and Power Query to be able to perform dimensional modeling, Kimball modeling, and advanced data modeling.

Data Modeling in Power BI

Learn the key concepts of data modeling on Power BI.


Data Analyst in Power BI

Power BI Fundamentals

Facts vs. dimensions

Data Modeling in Power BI

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