In this project, you’ll step into the role of a data analyst for the Department of Education, Training and Employment (DETE) and the Technical and Further Education (TAFE) institute in Queensland, Australia. Your task is to analyze employee exit surveys from both institutes to answer questions about why employees resign.
You’ll clean and combine the survey results from two different systems to create a single dataset ready for analysis. Using your data wrangling and exploratory analysis skills in Python and pandas, you’ll uncover insights into the reasons for employee resignations and whether they vary by institute, employment period, or other factors. This real-world project will showcase your ability to apply data cleaning and analysis techniques to drive insights from messy HR data.
Objective: Clean and analyze employee exit surveys to gain insights into reasons for resignations across different institutes and career stages.
Learn exactly what you need to achieve your goal. Don’t waste time on unrelated lessons.
Build confidence with our in-depth projects, and show off your data skills.
Work with real data from day one with interactive lessons and hands-on exercises.
Share the evidence of your hard work with your network and potential employers.
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