Data analysis in python with jupyter
Budget: $10 – $30 USD
The client has given you a dataset to analyze for auditing purposes. The dataset represents a subset of anonymized employee data. The client wants to know which factors impact Salary the most for this given company. However, the dataset did not come with an explanation of the different labels nor is it clear which industry these employees are working in. Your client has asked you as an external auditor to conduct a blind analysis on the dataset in Python and to provide a 1-page executive report on the findings.Thr findings have implications for the company your Client is auditing so it is of utmost importance that your analysis and code in Python are explainable and your analyses are correct.
Tip: consider adding data visualizations in the jupyter notebook to help with the storytelling of your analysis.
Tip: consider adding data visualizations in the jupyter notebook to help with the storytelling of your analysis.