HIRING PROCESS ANALYTICS

-

Hiring process is the fundamental and the most important function of a company. Here, the MNCs get to know about the major underlying trends about the hiring process. Trends such as- number of rejections, number of interviews, types of jobs, vacancies etc. are important for a company to analyse before hiring freshers or any other individual. Thus, making an opportunity for a Data Analyst job here too!

Dataset of a company where given and the details about people who registered for a particular post in a department of this company.We have to use knowledge in statistics and use different formulas in excel and draw necessary conclusions about the company.

Click here









 

Comments

Post a Comment

Popular posts from this blog

Cricket Analytics for Performance Optimization in T20 Leagues

-
Image
   Cricket Analytics Project  Introduction This report presents an analysis of cricket data focusing on player performance, team statistics, and insights derived from three years of data. The dataset includes information about matches, players, batting and bowling statistics, as well as additional data for the 2024 season. The analysis aims to provide valuable insights for team management, player selection, and strategic decision-making in cricket tournaments.  Data Import and Preprocessing  Libraries - Imported necessary libraries such as Pandas, NumPy, Matplotlib, and Seaborn for data manipulation, analysis, and visualization.  Dataset - Imported four datasets: `dim_match_summary`, `dim_players`, `fact_bating_summary`, and `fact_bowling_summary`. - Preprocessed the datasets by adjusting data types, handling missing values, and converting date formats where necessary.  Primary Insights  1. Top 10 Batsmen by Total Runs Scored (Past 3 Years) - Iden...
Read more

Best Fitness Bands under Rs. 5,000 in India

-
Image
  Having good health is always a boon and the global coronavirus pandemic has forced almost everyone to acknowledge the importance of physical fitness. A healthy lifestyle needs a lot of dedication, motivation, and monitoring of physical activities. But the present on-the-go way of living makes it even difficult to follow and track the regular bo...
Read more

Future Analysis of suicide cases

-
Image
Machine learning model utilizing linear regression to forecast the total death rate in the forthcoming years. It demonstrates a brilliant blend of cutting-edge technology and analytical prowess, harnessing the power of data to unravel the mysteries of the future. By employing linear regression, a powerful statistical technique, I have constructed a model that not only captures the essence of past patterns but also has the potential to unlock the hidden trends within the data. Through careful analysis of historical data, my model has learned the underlying relationships and extrapolated them with unwavering precision to predict the future trajectory of total death rates. My creation signifies the convergence of scientific acumen and technological innovation, providing a valuable tool to comprehend and anticipate the impact of various factors on the mortality rates. The potential applications of my model are far-reaching, as it empowers policymakers, healthcare professionals, and researc...
Read more