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.
Certificate
Opportunity to earn a Certificate of Completion in HR Analytics from XLRI – the best HR institution in India
Sample Certificate
![$getclients['c_name']](https://www.thetopbschool.com/images/1644223904sample hra.PNG)
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.
|
|
| 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 |
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.
Review
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