Motwani, Bharti <br/><br/>
HR analytics:   practical approach using python 

 - New Delhi  Wiley India Pvt. Ltd.  2021 
 - xxii, 627 p. 
<br/><br/>Table of content<br/><br/>Section I HR Data Exploration, Extraction, and Visualization<br/><br/>Chapter 1 HR Analytics and Python<br/><br/>Chapter 2 Employee Data Exploration Using Core Modules and Libraries<br/><br/>Chapter 3 Employee Data Visualization and Dashboards Using Core Libraries<br/><br/>Chapter 4 Employee Data Extraction Using SQL<br/><br/> <br/><br/>Section II HR Analytics Using Basic Statistical Techniques<br/><br/>Chapter 5 Design Compensation and Benefit Plan Using Conjoint Analysis<br/><br/>Chapter 6 Forecast HR Cost Using Time Series Modeling (ARIMA)<br/><br/>Chapter 7 Manpower Planning Using Monte Carlo Simulation and Markov Chain<br/><br/>Chapter 8 Evaluate Training and Development Programs Using Compare Means<br/><br/> <br/><br/>Section III HR Analytics Using Unsupervised Machine Learning<br/><br/>Chapter 9 Identify Association of Employee Job Satisfaction Using Association Rule<br/><br/>Chapter 10 Determine Factors of Performance Appraisal System Using Dimension Reduction Algorithms<br/><br/>Chapter 11 Assess Employee Absenteeism Using Clustering Techniques<br/><br/> <br/><br/>Section IV HR Analytics Using Supervised Machine Learning<br/><br/>Chapter 12 Predict Employee Salary/Pay Rate Using Supervised Machine Learning Regression Techniques<br/><br/>Chapter 13 Predict Employee Attrition Using Supervised Machine Learning Classification Techniques<br/><br/>Chapter 14 Predict Employee Promotion Using Neural Network Model<br/><br/> <br/><br/>Section V HR Analytics for Text and Image Data<br/><br/>Chapter 15 Review Resume Using Text Mining<br/><br/>Chapter 16 Evaluate Employee Reviews Using Sentiment Analysis<br/><br/>Chapter 17 Automate HR Help Desk Using Chatbots<br/><br/>Chapter 18 Employee Recruitment and Selection Using Recommendation System<br/><br/>Chapter 19 Measure Employee Happiness Using Image Data Processing 
<br/><br/> Description<br/>HR Analytics: Practical Approach Using Python will enable readers gain sufficient knowledge and experience to perform analysis of data related to different processes executed in the HR department. Different tools and techniques available in Python for gaining an insight related to numeric, text and image data of current and prospective employees have been discussed in the book. In order to provide a more meaningful and easier learning experience, this book has been written with more interesting and relevant real-life examples. 
<br/><br/><label>ISBN: </label>9789354240027 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Hedge funds<br/>Investment advisors<br/>Hedging (Finance)<br/>Capitalists and financiers
<br/><br/><label>Dewey Class. No.: </label>332.64524  / MOT