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Case Study: Analyzing Job Market Data in Tableau

In this case study, you’ll use visualization techniques to find out what skills are most in-demand for data scientists, data analysts, and data engineers.

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3 Hours4 Videos23 Exercises2050 XPData Analyst Track

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Course Description

Utilize Your Skills with a Tableau Case Study

In this Tableau case study, you’ll explore a real-world job posting dataset to uncover insights for a fictional recruitment company called DataSearch. Using what you’ve learned from previous courses, you’ll use visualization techniques to investigate the data to find out what skills are most in-demand for data scientists, data analysts, and data engineers.

Use Tableau to Gain Data Insights

You’ll start by importing and cleaning a dataset, making sure it’s prepared for data exploration. You’ll then use filters and calculated fields to build insightful visualizations of your findings, allowing for trend analysis.

Create Tableau Dashboards to Present Your Work

Finally, you’ll bring it all together using Tableau's powerful dashboard capabilities so that you can answer questions for the DataSearch team.

By practicing the techniques you’ve learned so far, this Tableau case study gives you the chance to get some hands-on practice with a dataset. Once you’ve finished the course, you’ll be more confident using Tableau to present your data insights.
  1. 1

    Exploratory Analysis

    Free

    You'll start this Tableau case study by importing and cleaning the job posting dataset and checking for missing values. 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 in Tableau
    50 xp
    EDA questions to ask
    100 xp
    Importing data
    100 xp
    Initial EDA
    100 xp
    Job postings trend analysis
    100 xp
    Data filtering of job titles
    100 xp
    Salary vs. years of experience
    100 xp
    Trends found with EDA
    100 xp
  2. 2

    Analyzing Market Trends

    In this chapter, you’ll continue to apply your Tableau skills to extract data insights with filtering techniques, interesting visualizations, and trend analysis. The DataSearch team still needs answers. Luckily, they have you on their team!

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  3. 3

    Dashboards and Insights

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

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In the following tracks

Data Analyst

Collaborators

maartenvdbroeck
Maarten Van den Broeck
carlrosseel-73112126-9ed2-4866-942a-96fbf265b088
Carl Rosseel
jessahmet-d9c6d363-de9d-4cf2-998f-d86306ff5807
Jess Ahmet
Shivali Malhotra Headshot

Shivali Malhotra

Business Development Analyst

Shivali works as a Business Development Analyst in London. She is originally from India, and has grown up singing, writing, and composing songs in her free time. Her academic background is in Mathematics and Business Analytics, and she enjoys working with visualization tools in her daily life. Her goal is to encourage and empower more women to participate in STEM and Analytics.
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