Case Study: Analyzing Job Market Data in Tableau

Starting at USD 39.00
3 hours duration

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.

This Tableau case study offers an opportunity to apply your skills and knowledge in analyzing a real-world job posting dataset for DataSearch, a fictional recruitment company. By utilizing visualization techniques and the features of Tableau, you will explore the data to identify the most in-demand skills for data scientists, data analysts, and data engineers. The first step involves importing and cleaning the dataset to ensure it is ready for exploration. Through the use of filters and calculated fields, you will create insightful visualizations that enable trend analysis and provide valuable insights. To effectively communicate your findings to the DataSearch team, you will leverage Tableau's powerful dashboard capabilities. By creating interactive and visually appealing dashboards, you will be able to address the team's questions and present your work in a clear and concise manner. This Tableau case study serves as a practical exercise to reinforce your understanding of the concepts covered in previous courses. By completing this study, you will gain confidence in using Tableau to effectively present data insights.

About Provider

DataCamp
DataCamp
Online Education Provider · 410 courses
Description
DataCamp is an online learning platform that offers interactive courses and tutorials for data science and analytics. It provides a wide range of courses covering topics such as Python, R, SQL, machine learning, data visualization, and more. The platform offers a hands-on learning experience through coding exercises and projects, allowing users to practice and apply their skills in real-world scenarios. DataCamp also offers a personalized learning experience with adaptive learning technology that adjusts the course content based on the user's skill level and progress. It is widely used by individuals, professionals, and organizations to enhance their data science skills and stay up-to-date with the latest trends and technologies in the field.
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