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.

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.

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. 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.

• Exploratory Analysis
• 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.
• 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!
• 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.