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Case Study: Analyzing Job Market Data in Power BI

4.3+
18 reviews
Beginner

Help a fictional company in this interactive Power BI case study. You’ll use Power Query, DAX, and dashboards to identify the most in-demand data jobs!

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Course Description

Apply Your Skills with a Power BI Case Study

In this Power BI case study, you’ll explore a real-world job posting dataset to uncover insights for a fictional recruitment company, DataSearch.

Use Power Query to Investigate and Clean Data

Using what you’ve learned from previous courses, you’ll use Power Query to investigate and clean the data to find out what skills are most in-demand for data scientists, data analysts, and data engineers.

Utilize DAX to Build Insightful Visualisazations

You’ll then use DAX to build insightful visualizations of your findings. Finally, you’ll bring it all together using everything Power BI has to offer to create a business dashboard so that you can answer questions for the DataSearch team.
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  1. 1

    Exploratory Analysis

    Free

    You'll start this Power BI case study by importing and cleaning the job posting dataset using Power Query. Once you’ve done this, it’s time to roll up your sleeves and do some initial data exploration.

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    Job market analysis with Power BI
    50 xp
    EDA questions to ask
    100 xp
    Data import with Power Query
    100 xp
    Initial EDA with Power Query
    100 xp
    Job posting trend analysis
    100 xp
    Data cleanup of job titles
    100 xp
    Effect of years experience on salary
    100 xp
    Trends found with EDA
    100 xp
  2. 2

    Analyzing Market Trends

    The DataSearch team still needs answers. Luckily, they have you on their team! In this chapter, you’ll continue to apply your Power BI skills to extract data insights with tools like DAX and begin to build unique data visualizations.

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  3. 3

    Dashboard Build

    It’s almost time to hand over the final deliverable. In this final chapter, you’ll combine all of the job listing insights you’ve discovered into an interactive Power BI dashboard for the DataSearch team.

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datasets

Metadata sheetDataCamp vs. Local ExperienceExercises and Datasets

collaborators

Collaborator's avatar
Maarten Van den Broeck
Collaborator's avatar
Carl Rosseel
Luke Barousse HeadshotLuke Barousse

Data Analyst and YouTuber

Luke has been working as a data analyst for the past number of years and has a passion for sharing learnings in data science; hence why he created a YouTube channel. Prior to his life as a data analyst, he obtained his degree in mechanical engineering and then served in the United States Navy’s submarine force for 7 years. Following his naval service, he obtained his MBA specializing in business analytics and then transitioned to become a data analyst.
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Don’t just take our word for it

*4.3
from 18 reviews
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  • Luis C.
    over 1 year

    Awesome case

  • Enyinna A.
    over 1 year

    N/A

  • Timiebiotubo P.
    over 1 year

    I really fine this case study practical and informative. It really got me thinking about the necessary skills needed, that I don't yet have,in the Data Job Market. It was and still is, really beneficial to my learning and growth as a Upcoming Data Analyst.

  • Erik M.
    over 1 year

    This was a great way to get your hands wet with some power bi. There was plenty of guidance, but the expectations were scaled in a way that used a lot of the previous trainings. There were still somethings I had to google, or take the hint on, but it was all positive. Highly recommend if you are in the Datacamp environment and are looking for some real world experience building something out.

  • Miroslav R.
    over 1 year

    Very good practical exercise which also "forces" you to find solutions on your own.

"Awesome case"

Luis C.

"N/A"

Enyinna A.

"I really fine this case study practical and informative. It really got me thinking about the necessary skills needed, that I don't yet have,in the Data Job Market. It was and still is, really beneficial to my learning and growth as a Upcoming Data Analyst."

Timiebiotubo P.

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