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XLRI Jamshedpur - Executive Development Program In HR Analytics (HRA)

“Executive Development Program In HR Analytics From XLRI Jamshedpur”

Programme Start Date » 19 Feb, 2022

Home » Browse Courses » XLRI Jamshedpur - Executive Development Program In HR Analytics (HRA)

Course Duration
6 Months
Course Fees
INR 85000 + GST/-
Class Schedule
06.30 p.m. to 09.30 p.m. IST for max. of 4 Saturdays/month
Delivery Mode
Live & Interactive Digital Learning
Technological Partner
TalentEdge
Last Date to Apply
19 Feb, 2022
Alumni Status
NA
Campus Immersion
NA

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Course Overview

Empower HR by Weaponizing it with Data Analytics

Data is helping the world advance in many ways, so why shouldn’t it benefit the world of Human Resource Management? This led XLRI Jamshedpur to formulate this futuristic course in Human Resource Analytics.

This program from XLRI has been designed to introduce participants to the concepts of HR Analytics and familiarize them with different dimensions like descriptive analytics, predictive analytics and prescriptive analytics. The course intends to help participants become proficient in:

• Descriptive HR Analytics: Developing and modifying various HR metrics including proprietary metrics relevant to the organization

• Predictive HR Analytics: Making predictions about various people management decisions based on existing data, or newly developed proprietary metrics

• Prescriptive HR Analytics: Making suggestions for future people management decisions, based on the analytics, and ensuring optimum use of investments in human assets

This course is designed for participants who may not be proficient in maths/statistics. Illustrations will be done using SPSS primarily and through MS Excel initially. This course will help professionals use analytics as a tool to develop a deeper understanding of data and people management and find appropriate solutions to real life people challenges.

Course Highlights

  • Certificate of Completion from XLRI
  • Work on Real-Time projects in your organization
  • Learn to Make Better People Management Decisions
  • Statistical Insights Through SPSS
  • Unique opportunity to get into an academic partnership
  • Flexibility to Choose from Various Analytical Packages

Key Benefits

  • People management
  • Analytical skills
  • Communication skill
  • Decision-making

Eligibility

Education

  • For Indian Participants – Graduates (10+2+3) or Diploma Holders (only 10+2+3) from a recognized University (UGC/AICTE/DEC/AIU/State Government) in any discipline
  • For International Participants – Graduation or equivalent degree from any recognized University or Institution in their respective country

Work Experience

  • HR professionals with a minimum of 2 years of work experience in the field of HR
  • Non-HR professionals should have a minimum of 5 years of overall work experience

No prior knowledge of mathematics or statistics required


Selection Criteria

Students would be selected on the basis of their application forms and the statement of purpose submitted along with their applications.

Course Modules

The programme comprises the following some modules.

INTRODUCTION TO PEOPLE ANALYTICS
DESCRIPTIVE ANALYTICS
PREDICTIVE ANALYTICS
PREDICTIVE ANALYTICS
PRESCRIPTIVE ANALYTICS
MODULE 5 - PROJECT
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Certificate

Opportunity to earn a Certificate of Completion in HR Analytics from XLRI – the best HR institution in India

Sample Certificate

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Faculty

Date & Fees

Fee Particulars Amount (in )
Total Programme Fees INR 85000 + GST
NOTE:

Late Fees

 

The course fee is payable in instalments as per the instalment schedule provided. In the event of late payment of Instalment 1 or any other subsequent Instalments, a Late Fee is leviable as follows.

  • A Late fee of INR 1000 + GST will be charged to the Participant, if the instalment is paid within 7 days from the due date published on the instalment schedule.
  • A Late fee of INR 2500 + GST will be charged to the Participant, if the instalment is paid between 8 days from the due date to within 14 days from due date as published on the instalment schedule.
  • If the Fee Instalment is not received within 14 days from the due date, then the Participant shall be considered a dropout and a Rejoining Fee of INR 5000 + GST will be charged to the Participant if the Participant wishes to continue with and complete the course and rejoining can be accommodated as per course guidelines.
No. of Installments -Total amount to be paid in 3 installments.
Instalment No. Amount (in )
Instalment I INR 30000 + GST
Instalment II INR 25000 + GST
Instalment III INR 30000 + GST
Timeline and Dates
Application Closure Date 10-Feb-2022
Programme Commencement Date 19-Feb-2022
Programme end date 17-Aug-2022
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Pedagogy

TheprimarymethodofinstructionwillbethroughLIVElecturesthatwillbebeamedonlineviaInternettostudentdesktops/laptopsorclassrooms.Thepedagogywillcompriselivelectures,casestudies,analyticalexercises,experientialevaluation,liveprojectpresentationsandfeedbackinsmallgroups,impartedandfacilitatedbyXLRI’sfaculty.Conceptswillbeexplainedusingexamplesdrawnfromreal-lifeorganizationalsituations.
Thisprogramfocusesonanalytics,ratherthanstatistics,andanyonewithoutstatistics/mathematicsbackgroundareencouragedtoapplyfortheprogram.WhileallcriticalanalysisaredemonstratedduringtheprogramusingSPSS,participantsarealsogivenYouTubevideolinkstorefertostatisticalanalysisindetail,andgainexpertiseattheircomfort.Participantsarefreetouseanystatisticaltool(includingMSExcelwithsomeadd-ons)oftheirchoice,whilein-classdemonstrationsaremostlybasedonSPSS.
Participants,thosewhohavenoaccesstoSPSSarerecommendedtoindividuallyprocurehighlydiscountedGradPackofSPSSversionoftheirchoicestartingfromUS$35atprevailingrates.Additionally,participantsofthiscourseareexpectedtobemotivatedandcommittedenoughtoinvestthreehoursbeyondliveclasssessionsperweektocompleteassignments,comprehendsharedsoftcopymaterialsandapplylearningtoorganisationalcontextstheyarefamiliarwith.
Dependingonthecomfortlevelandpreferenceoftheentirebatchduringinitialmodules,anintegratedapproachmaybefollowedformodules3&4,whereinanalyticalprocessesaretypicallypresentedwithincreasinglevelsofcomplexities.Basedonthedatacollectedfromparticipants,thetimeandexposuretovariousthemesmentionedinthesyllabusabove,maygetmodifiedtoimprovethevaluefortheentirebatch.

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