HR analytics: (Record no. 4036)
[ view plain ]
000 -LEADER | |
---|---|
fixed length control field | 02878nam a22002297a 4500 |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20221115153949.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 221026b ||||| |||| 00| 0 eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 9789354240027 |
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
Classification number | 332.64524 |
Item number | MOT |
100 ## - MAIN ENTRY--PERSONAL NAME | |
Personal name | Motwani, Bharti |
245 ## - TITLE STATEMENT | |
Title | HR analytics: |
Remainder of title | practical approach using python |
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
Name of publisher, distributor, etc. | Wiley India Pvt. Ltd. |
Place of publication, distribution, etc. | New Delhi |
Date of publication, distribution, etc. | 2021 |
300 ## - PHYSICAL DESCRIPTION | |
Extent | xxii, 627 p. |
365 ## - TRADE PRICE | |
Price type code | INR |
Price amount | 619.30 |
504 ## - BIBLIOGRAPHY, ETC. NOTE | |
Bibliography, etc. note | 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 |
520 ## - SUMMARY, ETC. | |
Summary, etc. | 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. |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | Hedge funds |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | Investment advisors |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | Hedging (Finance) |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | Capitalists and financiers |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Source of classification or shelving scheme | Dewey Decimal Classification |
Koha item type | Book |
Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Collection code | Bill No | Bill Date | Home library | Current library | Shelving location | Date acquired | Source of acquisition | Cost, normal purchase price | Total Checkouts | Full call number | Accession Number | Date last seen | Date checked out | Copy number | Cost, replacement price | Price effective from | Koha item type |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Dewey Decimal Classification | Human Resource and Organization Behvaiour | TB1801 | 06-10-2022 | Indian Institute of Management LRC | Indian Institute of Management LRC | General Stacks | 10/26/2022 | Technical Bureau India Pvt. Ltd. | 433.30 | 1 | 332.64524 MOT | 003419 | 11/25/2023 | 10/21/2023 | 1 | 619.00 | 10/26/2022 | Book |