Master HR Analytics With
R Programming
Transform raw data into predictive models. Learn data modeling, multiple regression, logistic regression, and advanced analytics to make data-driven decisions that drive HR strategy.
18 Core Modules
Master Data Transformations
Live Dashboards
Publish Interactive HR Reports
Zero Coding Exp. Needed
Start from your first line of R
Get The Syllabus
Enter your details to instantly download the complete HR Analytics with R Syllabus PDF.
World-Class Syllabus
A comprehensive journey from writing your first line of R code to deploying predictive HR models and executive dashboards.
R Programming Foundations
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Introduction to R & RStudio Variables, functions, data frames, and R toolkit setup.
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Data Management in R Importing data (Excel, HRIS), cleaning messy text, using dplyr & joins.
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Exploration & Visualization Detecting outliers, distributions, and building stunning charts with ggplot2.
Core Predictive HR Analytics
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HR Intervention Testing Pre/post scores, t-tests, and proving the ROI of HR programs.
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Employee Engagement Analytics Survey data transformation, correlation, and multiple linear regression.
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Employee Turnover Modeling Logistic regression, risk scoring (AUC/ROC), and attrition predictions.
HR Sub-Domain Analytics Labs
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Talent & Performance (TA, L&D, PMS) Hiring funnels, training ROI (Kirkpatrick), rating biases, 9-box grids.
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Comp, Payroll & HR Ops Anomaly detection, gender pay gaps, ticket SLAs, forecasting.
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Risk, Compliance & Audit Statutory reconciliations, POSH reporting, HR auditing with sampling.
Dashboards & Capstone Project
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Interactive Dashboards & Storytelling Building web apps with Shiny/flexdashboard, data privacy & ethics.
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100% Practical Capstone Project Solve a multi-domain HR problem using a synthetic master dataset. Produce a deployed dashboard and presentation.
Structured Learning Path
From installing RStudio to running predictive retention models and deploying interactive Shiny dashboards.
R Programming & Data Foundations
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01
Intro to R & RStudio Setup
Console navigation, vectors, data frames, syntax, functions, and packages.
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02
Data Cleaning & Transformation (dplyr)
Import CSV/Excel/HRIS, handle missing data, dates with lubridate, joins & filters.
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03
Exploration & Visualization (ggplot2)
Grammar of graphics, distribution plots, boxplots, facets, and demographic profiling.
Core Statistical & Predictive Analytics
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04
HR Intervention & Impact Evaluation
Pre/post training evaluation, paired t-tests, Cohen’s d effect sizes, control groups.
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05
Employee Engagement Analytics
Likert scales, Cronbach’s alpha, correlation matrix, multiple linear regression.
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06
Employee Turnover & Attrition Modeling
Logistic regression (glm), odds ratios, ROC/AUC validation, risk-scoring.
HR Sub-Domain Analytics Labs
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07
Talent Acquisition & L&D Analytics
Recruitment funnel drop-offs, offer-decline odds, ANOVA for training ROI.
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08
PMS, Payroll & Compensation Equity
Leniency bias, 9-box grid, payroll anomaly detection, adjusted gender pay gaps.
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09
Audit, Compliance, POSH & Operations
Sampling in audits, statutory reconciliations, confidential POSH timelines, ticket SLAs.
Dashboards, Ethics & Capstone
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10
Shiny & flexdashboard Development
Interactive web apps, filters, executive storytelling, data privacy (DPDP Act).
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11
End-to-End Capstone Project
Choose between Retention, Pay Equity, Talent Lifecycle, or Risk & Governance tracks.
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12
Executive Presentation & GitHub Portfolio
Build a documented, reproducible code repository to showcase to recruiters.
Need the complete lesson-by-lesson breakdown?
Get the detailed 18-module syllabus covering all lab exercises, case studies, and datasets.
Why Master People Analytics in R?
Go beyond basic pivot tables. Discover how R empowers modern HR professionals to predict trends and lead executive decisions with data.
Predictive Retention Models
Build real logistic regression models to compute attrition odds ratios, calculate ROC/AUC curves, and intervene before top talent exits.
10+ HR Sub-Domain Labs
Direct applications across Talent Acquisition, L&D, PMS 9-Box, Payroll reconciliation, POSH timelines, and Labour Compliance registers.
Interactive Shiny Dashboards
Design interactive web dashboards with Shiny & flexdashboard. Add department filters, drill-downs, and publish without paid software licenses.
Statistically Sound HR Tests
Learn when to run paired t-tests for training evaluation, ANOVA for manager ratings, and Cronbach's alpha for employee engagement reliability.
Ethics & DPDP Act Compliance
Master data masking, anonymisation, bias auditing, and ethical handling of sensitive workforce records to ensure full legal privacy compliance.
Ready-to-Show GitHub Portfolio
Graduate with documented, reproducible Quarto scripts and a capstone presentation ready to showcase in senior People Analytics job interviews.
Tools & Packages You Will Master
Learn the exact data science packages used by world-class People Analytics teams to automate, analyze, and build web apps.
RStudio / Posit
Primary IDEYour interactive development environment for running scripts, managing projects, and building data pipelines.
tidyverse (dplyr)
Data WranglingThe core standard for data manipulation: clean messy exports, filter cohorts, group data, and join disparate HR systems.
ggplot2
Data VisualizationPublication-quality graphics: plot workforce distributions, attrition boxplots, faceted charts, and demographic heatmaps.
R Shiny
Interactive AppsTurn analyses into interactive web applications with dynamic filters, reactive tables, and automated executive views.
caret & glm
Machine LearningTrain predictive logistic models, evaluate turnover risk, and calculate precision with cross-validated ROC/AUC metrics.
lubridate & janitor
HR Data CleaningEffortlessly parse messy attendance dates, calculate precise employee tenure, and standardize inconsistent column names.
flexdashboard
Executive KPI ViewsCreate sleek, markdown-based dashboard scorecards featuring KPI value boxes and departmental breakdown tabs.
Quarto & Git
Reporting & PortfolioAuthor reproducible executive PDF/HTML reports and publish your complete people analytics code portfolio to GitHub.
Zero Software Cost
Every tool and library taught in this course is 100% open-source and free for enterprise usage.
Is This Course Right For You?
Designed specifically for HR professionals looking to transition from manual reporting into high-impact, data-driven people decisions.
HR Generalists & HR Business Partners (HRBPs)
Move beyond Excel lookups. Predict attrition patterns, benchmark headcount, and advise business leaders with statistical rigor.
Talent Acquisition & L&D Specialists
Optimize hiring funnels, predict offer declines, evaluate training effectiveness with ANOVA, and measure Kirkpatrick Level 2 & 4 ROI.
Payroll, Comp & Benefits, and HR Auditors
Perform Benford's law anomaly audits, model market compensation lines, and analyze adjusted gender pay gaps with regression.
MBA / PGDM (HR) Students & Career Switchers
Build a competitive, recruiter-ready People Analytics portfolio with GitHub repositories, Quarto reports, and live Shiny apps.
Course Prerequisites
Everything you need before starting your journey in R.
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Basic HR Understanding
Familiarity with common HR terms like headcount, turnover, appraisals, and leaves.
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Comfort With Excel
Basic comfort with rows, columns, and viewing tabular data in spreadsheets.
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Laptop with Internet
Standard Windows, Mac, or Linux laptop capable of running free RStudio Desktop or Posit Cloud.
Zero Coding Required: You will write your very first line of R in Module 1 and build confidence step-by-step.
Meet Your Master Instructor
Learn directly from a veteran People Analytics practitioner and corporate HR leader with extensive enterprise experience.
Mohammad Kashif
Principal People Analytics & HR Consultant
Master Practical People Analytics, Not Just Syntax
Mohammad Kashif is a renowned People Analytics expert and corporate trainer with extensive experience consulting top MNCs, government bodies, and institutions. He specializes in bridging the gap between raw statistical programming in R and strategic HR decision-making.
Under his guidance, thousands of HR generalists, recruiters, and managers have transitioned from manual spreadsheet reporting into high-impact People Analysts capable of running predictive attrition models and building interactive web dashboards.
Years Experience
HRs Trained
Practical Labs
Trusted By Top Institutions & Corporations
Delivering high-impact People Analytics, Data Science, and Executive HR training to India's leading Universities, Armed Forces, and Fortune 500 organizations.
Earn Your Industry-Recognized Certificate
Validate your predictive People Analytics expertise with a verifiable credential that adds serious credibility to your resume.
Showcase Verified Proof of Work to Employers
Unlike basic participation slips, this certificate is awarded strictly upon completing the 18 modules, practical lab assignments, and the final Capstone Project. It proves your practical proficiency in R programming, predictive statistics, and executive dashboarding.
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LinkedIn 1-Click Shareable
Easily attach your credential to your LinkedIn profile under the "Licenses & Certifications" section.
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QR Code & Unique Verification ID
Employers and recruiters can instantly verify the authenticity of your credential online 24/7.
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Backed by Real Capstone Projects
Validates that you have solved end-to-end corporate workforce problems using R, dplyr, and Shiny.
Trusted by HR Leaders & Analysts
See how our alumni transformed their workforce analytics capabilities and automated core HR processes.
"I had zero coding experience and was terrified of R. But Module 1 started so gently that within 4 weeks I was running multiple regression on our engagement survey. Game-changing curriculum!"
Pooja Mehta
Senior HRBP, IT Services
"Building an attrition risk prediction model with logistic regression helped our team identify flight-risk employees 3 months before appraisal. My CHRO was genuinely impressed with the insights."
Rohan Kulkarni
Talent Analytics Lead
"The R Shiny module is unbeatable. We created an internal attrition and hiring dashboard without spending any budget on Power BI Pro licenses. Truly enterprise-grade skills."
Sneha Nair
HR Operations Manager
"The sub-domain labs for Payroll anomaly detection (Benford's Law) and Gender Pay Gap adjusted regressions gave me practical scripts that I use every month now."
Anand Verma
Comp & Benefits Specialist
"I had zero coding experience and was terrified of R. But Module 1 started so gently that within 4 weeks I was running multiple regression on our engagement survey. Game-changing curriculum!"
Pooja Mehta
Senior HRBP, IT Services
"Building an attrition risk prediction model with logistic regression helped our team identify flight-risk employees 3 months before appraisal. My CHRO was genuinely impressed with the insights."
Rohan Kulkarni
Talent Analytics Lead
Enroll in HR Analytics with R
Master predictive people analytics, build real machine learning models, and graduate with a portfolio.
Everything Included in Your Enrollment:
- 18 Comprehensive Modules (16 Weeks / 70+ Hours)
- 10+ HR Sub-Domain Analytics Labs (TA, L&D, PMS, POSH)
- Full-Stack Stack: RStudio, tidyverse, ggplot2 & Shiny
- Synthetic Master Datasets & Reproducible Code Templates
- End-to-End Capstone Project & Verifiable Certificate
🎁 Bonus: Ready-to-use HR Analytics GitHub Portfolio Templates
₹14,999
One-Time Complete Course Fee
Frequently Asked Questions
Clear answers to help you understand how this program works and what you will achieve.
Do I need prior coding or programming experience?
Why should I learn R instead of Python or Excel?
Will we use real employee data in the sessions?
What will I build in the Capstone Project (Module 18)?
What happens if I miss a live class?
Ready to Become a Data-Driven HR Leader?
Stop getting stuck in manual spreadsheets. Master R, build predictive retention models, and create interactive people analytics dashboards in just 16 weeks.

