This project was done using MS Excel. Our job is to analyze this data and answer certain questions that can help the company improve its hiring process.
The hiring process is a crucial function of any company, and understanding trends such as the number of rejections, interviews, job types, and vacancies can provide valuable insights for the hiring department. Here's what you'll be doing:
- Handling Missing Data: Check if there are any missing values in the dataset. If there are, decide on the best strategy to handle them.
- Clubbing Columns: If there are columns with multiple categories that can be combined, do so to simplify your analysis.
- Outlier Detection: Check for outliers in the dataset that may skew your analysis.
- Removing Outliers: Decide on the best strategy to handle outliers. This could be removing them, replacing them, or leaving them as is, depending on the situation.
- Data Summary: After cleaning and preparing your data, summarize your findings.
The goal of this project is to use your knowledge of statistics and Excel to draw meaningful conclusions about the company's hiring process. Our insights could potentially help the company improve its hiring process and make better hiring decisions in the future.
- MS Excel
- MS Word(For Documentation)
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