Moocable is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Case Study: Analyzing Job Market Data in Tableau

via DataCamp

Description

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.

Online Courses

DataCamp

Case Study: Analyzing Job Market Data in Tableau

via DataCamp
Affiliate notice

  • Type
    Online Courses
  • Provider
    DataCamp

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.