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040			_cAIMIT LIBRARY
082			_21 _a658.30015 _bMOTB
100			_aMotwani, Bharti. _9255637
245			_aHR analytics : _bpractical approach using python / _cBy Bharti Motwani.
250			_a1st ed.
260			_aNew Delhi : _bWiley , _c2024.
500			_aHR 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.
504			_aSection I HR Data Exploration, Extraction, and Visualization Chapter 1 HR Analytics and Python Chapter 2 Employee Data Exploration Using Core Modules and Libraries Chapter 3 Employee Data Visualization and Dashboards Using Core Libraries Chapter 4 Employee Data Extraction Using SQL Section II HR Analytics Using Basic Statistical Techniques Chapter 5 Design Compensation and Benefit Plan Using Conjoint Analysis Chapter 6 Forecast HR Cost Using Time Series Modeling (ARIMA) Chapter 7 Manpower Planning Using Monte Carlo Simulation and Markov Chain Chapter 8 Evaluate Training and Development Programs Using Compare Means Section III HR Analytics Using Unsupervised Machine Learning Chapter 9 Identify Association of Employee Job Satisfaction Using Association Rule Chapter 10 Determine Factors of Performance Appraisal System Using Dimension Reduction Algorithms Chapter 11 Assess Employee Absenteeism Using Clustering Techniques Section IV HR Analytics Using Supervised Machine Learning Chapter 12 Predict Employee Salary/Pay Rate Using Supervised Machine Learning Regression Techniques Chapter 13 Predict Employee Attrition Using Supervised Machine Learning Classification Techniques Chapter 14 Predict Employee Promotion Using Neural Network Model Section V HR Analytics for Text and Image Data Chapter 15 Review Resume Using Text Mining Chapter 16 Evaluate Employee Reviews Using Sentiment Analysis Chapter 17 Automate HR Help Desk Using Chatbots Chapter 18 Employee Recruitment and Selection Using Recommendation System Chapter 19 Measure Employee Happiness Using Image Data Processing
505			_rAbout the Author Dr. Bharti Motwani has over 23 years of experience in teaching, corporate, research and consultancy in a variety of contexts. She is an analytical professional, IT and analytics consultant, result-driven and articulate academician who can think out of the box
650			_aHR data exploration extraction and visualization _9255638
650			_aHR analytics using unsupervised machine learning _9255639
650			_aHR analytics using supervised machine learning _9255640
942			_2ddc _cBK _e1st _k658.30015 MOTB
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