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Baseball Data Visualization in Power BI

Discover how to analyze and visualize baseball data using Power BI. Create scatter plots, tornado charts, and gauges to bring baseball insights alive.

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3 Hours7 Videos24 Exercises

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Course Description

Visualize Baseball Data

In this course, you’ll harness the power that Power BI offers to examine and analyze one of the most well-known and extensive baseball datasets freely available on the internet - Lahman’s baseball dataset.

Create Charts and Conditional Formatting

By creating insightful visualizations through built-in and customized charts and conditional formatting, you’ll bring this dataset alive. Working for a baseball historian and a team General Manager, you’ll create a range of visualizations, such as scatter plots, tornado charts, and gauges, to visualize baseball insights without overwhelming your audience.

Improve Your Power BI Skills

Throughout the course, you'll learn how to create powerful data visualizations using Power BI and develop valuable skills for data analysis and visualization. This course is perfect for baseball enthusiasts, historians, and data analysts.
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  1. 1

    Let's Play Ball!


    ​​In this first chapter, you'll get your first look at Lahman's baseball dataset, which you’ll use throughout the course and start working for a baseball historian. You will help the historian look into common opinions regarding baseball batting statistics and even examine a team's performance in one specific season.

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    Let's play ball!
    50 xp
    Baseball basics
    100 xp
    Visualizing baseball data
    50 xp
    One hit wonders
    100 xp
    100 xp
    The 95 Braves
    100 xp
  2. 2

    General Manager Work

    In the second chapter, you will start your first tasks for the General Manager of a team, focusing on the performance of Shortstops during the 2019 season. You will also examine batting averages for different teams and players and get introduced to the Mendoza Line!

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  3. 3

    Performance Over Time

    In this chapter, you will once again team up with a baseball historian to provide information on how offensive productivity has changed over time and hone in on whether batters have emphasized hitting for power as baseball has developed.

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  4. 4

    Achieving Targets

    The last chapter is all about wrapping up projects for the General Manager. You will look at appearance statistics for players for different positions, and you will also track if a team has met its season targets.

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Metadata - Lahman's Baseball DatabaseExercises and DatasetsDataCamp vs. Local Experience


Collaborator's avatar
Maarten Van den Broeck
Collaborator's avatar
Iason Prassides
Kevin Feasel HeadshotKevin Feasel

CTO, Envizage

Kevin is a Microsoft Data Platform MVP and CTO at Envizage, where he specializes in data analytics with T-SQL and R, forcing Spark clusters to do his bidding, fighting with Kafka, and pulling rabbits out of hats on demand. He is the lead contributor to Curated SQL ( and author of PolyBase Revealed (forthcoming). A resident of Durham, North Carolina, he can be found cycling the trails along the triangle whenever the weather's nice enough.
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