HR analytics : (Record no. 240919)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 03211nam a22002297a 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20260305152337.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 260218b |||||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9789354240027 |
| 040 ## - CATALOGING SOURCE | |
| Transcribing agency | AIMIT LIBRARY |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Edition number | 1 |
| Classification number | 658.30015 |
| Item number | MOTB |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Motwani, Bharti. |
| 9 (RLIN) | 255637 |
| 245 ## - TITLE STATEMENT | |
| Title | HR analytics : |
| Remainder of title | practical approach using python / |
| Statement of responsibility, etc. | By Bharti Motwani. |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 1st ed. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | New Delhi : |
| Name of publisher, distributor, etc. | Wiley , |
| Date of publication, distribution, etc. | 2024. |
| 500 ## - GENERAL NOTE | |
| General note | 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. |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE | |
| Bibliography, etc. note | 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/>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/>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/>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/>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 |
| 505 ## - FORMATTED CONTENTS NOTE | |
| Statement of responsibility | About the Author<br/>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 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | HR data exploration extraction and visualization |
| 9 (RLIN) | 255638 |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | HR analytics using unsupervised machine learning |
| 9 (RLIN) | 255639 |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | HR analytics using supervised machine learning |
| 9 (RLIN) | 255640 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Dewey Decimal Classification |
| Koha item type | Book |
| Edition | 1st |
| Call number prefix | 658.30015 MOTB |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Collection code | Home library | Current library | Shelving location | Date acquired | Source of acquisition | Cost, normal purchase price | Inventory number | Total Checkouts | Full call number | Barcode | Date last seen | Cost, replacement price | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Dewey Decimal Classification | MBA | St Aloysius Institute of Management & Information Technology | St Aloysius Institute of Management & Information Technology | Analytics | 02/12/2026 | SK Publishers & Distributors | 739.00 | Bill no:SKP4043; Bill dt:2026/2/ | 658.30015 MOTB | MBA15259 | 05/23/2026 | 554.25 | 02/18/2026 | Book |
