Hiring process is the fundamental and most important function of a company. In this project, we are provided with records of previous hirings and have been asked to answer certain questions to make sense out of data.

• Understanding data columns and data
• Checking for missing data
• Aggregating columns with multiple categories
• Checking for outliers
• Removing outliers
• Drawing Data Summary

• How many males and females are hired ?
• What is the average salary offered by this company ?
• Draw the class intervals for salaries in the company ?
• Draw Pie Chart / Bar Graph ( or any other graph ) to show the proportion of people working in different departments ?
• Represent different post tiers using a chart/graph?

Microsoft word allows you to create various types of documentation and prepare reports.

Microsoft Excel enables users to format, organize, data analyses, and calculate data in a spread sheet, and users can make information easier to view as data is added or changed.

Jupyter Notebook For using Python Programming to load database and writing procedure to solve the given problem.

• In the provided dataset, we observed that number of males being hired was more than number of females being hired.
• Most of the people are working with salary ranging between 25000 to 50000.
• And Least number of people are working with salary rangning between 0 to 25000.