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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.

Prerequisites

  • An interest and flair for numbers
  • Willingness to learn statistics and scripting

Who should attend?

  • Student perusing their management studies with HR specialisation
  • 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

Course outcomes

  • 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.

Course content

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)

Duration: Three days

Training locations: Dedicated batches in college campuses. Contact us for details.

Enroll now

Call us : +91 94474 94118 (Lijin)

Mail us : in-fmdxtraining@kpmg.com

KPMG in India reserves the right to restrict the number of participants per batch and cancel or postpone any batch

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