Human Resource Analytics by KPMG at KPMG Overview
Human Resource Analytics by KPMG
at KPMG
A Three-day instructor led training applying the analytics techniques using R in the field of Human Resources.
Duration | 3 days |
Mode of learning | Online |
Schedule type | Self paced |
Difficulty level | Beginner |
Credential | Certificate |
Future job roles | Senior Manager - HR, HR Manager |
Human Resource Analytics by KPMG
Table of contents
Human Resource Analytics by KPMG at KPMG Highlights
Human Resource Analytics by KPMG
at KPMG
- 3 day interactive sessions
- Hands on Learning via working on data sets
- Earn a certificate upon successful completion
Human Resource Analytics by KPMG at KPMG Course details
Human Resource Analytics by KPMG
at KPMG
Skills you will learn
Who should do this course?
- Student perusing their management studies with HR specialization
- Student who are interested to enhance their HR skills by drawing insights from HR data
- Aspirants with human resource and people management background who plans to pursue a career HR analytics
What are the course deliverables?
- Working knowledge in HR metrics analysis using data sets
- Ability to identify and build predictive models suitable to solve HR and people management scenarios and derive insights out of it
- Certification of completion on successfully completing the course requirements.
More about this course
- Human Resource Analytics is an intensive instructor-led three day course which is specifically designed and focused on applying the analytics techniques using R in the field of Human Resources for the students with HR specialisation. The main topics that are covered in HRA are Talent analytics, People analytics, Performance analytics and Recruitment Analytics. This course will hand hold the students from fundamentals of R programming, R syntax, variables and operators building till building data analytics models to perform the specific analysis.
Human Resource Analytics by KPMG at KPMG Curriculum
Human Resource Analytics by KPMG
at KPMG
Understanding HR analytics
Importance of data in HR
Framework of HR analytics
Basics of R programming
Basics of R
Introduction to R libraries
Data structures and data types in R
Operators, control structures and functions in R
Data cleaning
Reading data
Cleaning and preprocessing data
People and talent management
Attrition prediction model
Logistic regression
Classification Random Forest
Performance appraisal management
Classification Decision tree
Clustering K Means
Talent management
Social Network Analysis (SNA)
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Human Resource Analytics by KPMG
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