This is a Power BI project that focuses on analyzing Student Intern Data.
In the competitive job market, resumes are crucial as recruiters spend just 2-3 minutes per resume, resulting in a high rejection rate of over 70%. Meticulous resume preparation is vital for students to stand out among millions of applicants for internships and jobs.
This project aims to thoroughly analyze student interns to understand how their academic performance, event involvement, career goals, and other factors contribute to their success.
• Data Collection: Gather relevant data sources such as student academic records, event participation data, career aspiration surveys, economic background information, and expected salary data.
• Data Exploration: Conduct initial exploratory data analysis to understand the structure, quality, and characteristics of the collected data.
• Data Cleaning and Preprocessing: Perform data cleaning tasks such as handling missing values, addressing outliers, standardizing formats, and ensuring data consistency.
• Statistical Analysis: Utilize statistical methods to uncover patterns, trends, and correlations within the data, providing valuable insights into the relationships between different variables.
• Data Visualization: Develop visualizations such as charts, graphs, and dashboards to represent data trends, distributions, and relationships visually, facilitating easier interpretation and communication of findings.