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๐Ÿ‘ฅ People Analytics ๐Ÿ“ Dilsukhnagar, Hyderabad โœ… Certificate on Completion

HR Analytics Course

Transform HR from a function driven by intuition to one driven by data. Learn to analyse workforce data, predict employee attrition, optimise hiring and measure organisational performance using Python, Power BI and ML. Taught by an active HR Analytics professional from a corporate company who builds people analytics systems daily.

โฑ
DURATION
6 Weeks
๐ŸŽฏ
LEVEL
Beginner to Advanced
๐Ÿ’ป
MODE
Online ยท Offline ยท Hybrid
๐Ÿ†
CERTIFICATE
Industry Certificate

Tools & Technologies You Will Learn

Python Pandas Scikit-learn Power BI SQL Excel Advanced Tableau HRMS data (SAP/Workday concepts) Matplotlib Seaborn Statsmodels ChatGPT for HR
Enroll on WhatsApp โ†’ View Curriculum
HR Analytics Course at LearnAI Tech Hub ๐Ÿ‘ฅ
Free Demo Available
Contact us for current batch fees & EMI options
  • โฑ Duration: 6 Weeks
  • ๐ŸŽฏ Level: Beginner to Advanced
  • ๐Ÿ’ป Online ยท Offline ยท Hybrid
  • ๐Ÿ† Certificate on completion
  • ๐Ÿ’ผ 100% placement assistance
  • ๐Ÿ“ Real project + internship
  • ๐Ÿ” Lifetime access to recordings
  • ๐Ÿ“ž Mentor support throughout

Free career counselling available daily ยท No pressure, just honest advice

HR Analytics: turning the people function from cost centre to strategic business partner

HR departments that use data to make decisions โ€” about hiring, retention, performance, learning and workforce planning โ€” consistently outperform those that rely on intuition. Companies with strong people analytics capabilities have 30% lower attrition, 25% faster time-to-hire and significantly better manager effectiveness. The challenge is that most HR professionals do not have data skills, and most data professionals do not understand HR. Those who have both are extraordinarily valuable.

At LearnAI Tech Hub, this 6-week course gives HR professionals the data and AI skills they need, and data professionals the HR domain context to make their analysis meaningful. You will work with real HR datasets, build an employee attrition prediction model, create workforce planning analyses and design HR dashboards that tell data stories leadership actually acts on.

What makes this course different

๐Ÿญ
Taught by an active HR Analytics professional building live workforce models

Every dataset, every metric and every model reflects real HR department challenges โ€” not HR textbook examples.

๐Ÿ‘ฅ
The rarest combination: HR domain + data skills

HR professionals who can build predictive models are among the most uniquely positioned professionals in the job market. This combination is genuinely rare and commands significant salary premiums.

๐Ÿ”ฎ
Predict attrition before it happens โ€” the most valuable HR AI application

Employee attrition prediction is the most impactful HR analytics use case โ€” reducing turnover costs that can equal 50โ€“200% of an employee's annual salary. You build this model during the course.

๐Ÿ“Š
Complete HR dashboard and metrics system

Every HR KPI โ€” headcount, attrition rate, time-to-hire, cost-per-hire, engagement score, diversity metrics โ€” built into Power BI dashboards you can show in any HR interview.

5 modules ยท 6 Weeks ยท Real projects every week

Every module is taught by an active MNC professional using real tools, real datasets and real architectures โ€” not textbook examples.

01
HR Data Ecosystem & Python Foundations
8 topics ยท Week 1
HR data types: employee master, attendance, performance, compensation, engagement, exit
HRMS systems: SAP SuccessFactors, Workday, Darwinbox โ€” data structures and extraction
Python for HR: Pandas, Matplotlib setup and first HR dataset analysis
Data cleaning for HR: handling missing values, encoding categorical HR variables
HR metrics fundamentals: headcount, FTE, attrition rate, absenteeism, turnover cost
Project: Complete HR data audit and exploratory analysis of a real employee dataset
02
Workforce Analytics & Key HR Metrics
10 topics ยท Week 2
Attrition analysis: voluntary vs involuntary, by department, tenure, role, location
Talent acquisition analytics: time-to-hire, cost-per-hire, source effectiveness, offer decline rate
Performance analytics: rating distribution, performance vs potential, high-potential identification
Compensation analytics: pay equity analysis, compa-ratio, pay band analysis
Learning & Development analytics: training effectiveness, learning ROI, skill gap analysis
Diversity & Inclusion metrics: gender ratio, representation by level, pay gap analysis
Project: Comprehensive workforce analytics report with all key HR metrics
03
Predictive HR Analytics & Machine Learning
10 topics ยท Weeks 3โ€“4
Employee attrition prediction: logistic regression, Random Forest, XGBoost
Feature engineering for HR: tenure, salary gap, manager rating, engagement scores
Model evaluation for HR: business impact framing โ€” cost of false positives vs negatives
Flight risk scoring: identifying high-risk employees before they resign
Succession planning analytics: identifying high-potential candidates with data
Recruitment analytics: predicting candidate success using hiring data
Compensation optimisation: market benchmarking and internal equity modelling
Project: Employee attrition prediction model with business impact calculation
04
Workforce Planning & Forecasting
8 topics ยท Week 5
Workforce demand forecasting: predicting headcount needs 6โ€“12 months ahead
Supply modelling: internal promotions, transfers, attrition and external hiring mix
Skills gap analysis: current vs future capability requirements
Scenario modelling: workforce impact of business growth, contraction, restructuring
Organisational network analysis: collaboration patterns and team dynamics
HR budget analytics: headcount cost modelling and optimisation
Project: 12-month workforce plan for a growing technology company
05
HR Dashboards, Reporting & Career Preparation
10 topics ยท Week 6
Power BI for HR: building People Analytics dashboards
Executive HR scorecards: CEO/CHRO-level monthly metrics
Business partnering with data: how to present HR insights to non-HR leaders
GDPR and data privacy for employee data โ€” legal and ethical considerations
HR analytics tools overview: Visier, One Model, SAP Analytics Cloud
Capstone: Complete People Analytics dashboard with predictive model integration
HR analytics interview preparation and career pathways
HR placement referral and portfolio review
Get Full Curriculum on WhatsApp โ†’

You will graduate using industry tools โ€” not toy projects

Every tool in this course is currently used by professionals in live production environments across companies worldwide.

๐Ÿ
Python
๐Ÿ“Š
Power BI
โš™๏ธ
Scikit-learn
๐Ÿ—„๏ธ
SQL
๐Ÿ“‘
Excel
๐Ÿ“ˆ
Tableau
๐Ÿ“Š
HRMS Data
๐Ÿค–
ChatGPT HR
๐Ÿ“‰
Statsmodels
๐ŸŽจ
Seaborn
๐Ÿผ
Pandas
๐Ÿ““
Jupyter

Roles you will qualify for after this course

Our placement team directly places students from this course into these roles across our 1,000+ client company network โ€” startups to Fortune MNCs.

๐Ÿ‘ฅ
HR Data Analyst / People Analyst
โ‚น4.5L โ€“ โ‚น12L / year
Large corporates, MNCs, consulting firms, tech companies with large workforce
๐Ÿ“Š
HR Business Intelligence Analyst
โ‚น5L โ€“ โ‚น14L / year
BFSI, manufacturing, IT services, FMCG companies with enterprise HRMS systems
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Workforce Planning Analyst
โ‚น6L โ€“ โ‚น16L / year
Fortune companies, consulting firms, large public sector organisations
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Talent Analytics Specialist
โ‚น5L โ€“ โ‚น15L / year
Tech companies, management consulting, talent management platform companies
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Compensation & Benefits Analyst
โ‚น5L โ€“ โ‚น14L / year
BFSI, FMCG, IT services โ€” anywhere with large structured compensation data
๐Ÿ’ผ
HR Analytics Consultant
โ‚น8L โ€“ โ‚น22L / year
Big 4, HR consulting firms, talent advisory companies
Average Starting Salary โ€” Freshers (Hyderabad)
Based on our placed students ยท 2024โ€“2025 batch data
โ‚น4L โ€“ โ‚น14L per year

This course is designed for you ifโ€ฆ

๐Ÿ‘ฉโ€๐Ÿ’ผ
HR professionals wanting to become data-driven

If you work in HR and rely on Excel spreadsheets and gut instinct, this course transforms your capability and career trajectory. HR professionals with analytics skills are promoted faster and paid significantly more.

๐Ÿ“Š
Data analysts wanting a unique domain specialisation

HR analytics is a specialisation where supply is genuinely low and demand is genuinely high. Adding HR domain knowledge to data skills creates a rare profile that commands premium positioning.

๐ŸŽ“
MBA HR and BBA graduates entering the workforce

The best HR jobs in MNCs now require analytics capability. This course gives you the technical edge that pure MBA HR graduates do not have.

๐Ÿ’ผ
Business Partners and HR Managers wanting data depth

Senior HR professionals who can present data-backed workforce recommendations to leadership are far more influential than those who only report headcount numbers.

๐Ÿง‘โ€๐Ÿ’ป
Data scientists wanting people analytics exposure

People analytics is a growing field with its own unique dataset challenges, ethics considerations and business impact metrics. This is a genuinely differentiated specialisation for data professionals.

๐Ÿข
Operations and management professionals working with workforce data

If you manage large teams and deal with workforce planning, attrition and performance management decisions, this course gives you the analytical tools to make those decisions with data.

Prerequisites

Basic computer and Excel familiarity Any graduation โ€” HR background helpful but not required No prior programming or data science experience needed Interest in people, organisations and data

Questions about HR Analytics Course?

Not finding your answer? WhatsApp us directly โ€” we respond within 30 minutes.

Ask on WhatsApp โ†’
No. The course teaches all the HR domain context you need. However, HR professionals find that their existing domain knowledge makes the course immediately applicable to their current role โ€” and data professionals find that the HR context makes the analytics far more meaningful.
People Analytics and HR Analytics are used interchangeably. People Analytics is the more modern term used by tech-forward companies. Both refer to applying data analysis and predictive modelling to workforce data to improve talent decisions.
Significant and growing demand. Every large Indian company with 1,000+ employees is investing in HR Analytics capabilities. MNCs in India are building People Analytics teams. Consulting firms โ€” Big 4, HR advisory โ€” are hiring HR analysts with data skills. The gap between supply and demand is wider in HR analytics than in almost any other analytics specialisation.
You learn the data structures and data extraction concepts from SAP SuccessFactors, Workday and Darwinbox โ€” how HR data is organised within these systems. Hands-on access to enterprise HRMS requires employer-level access, but the conceptual knowledge is fully transferable to any HRMS environment.
Yes โ€” this is one of the most common transitions our HR Analytics graduates make. The combination of HR domain depth and Python/Power BI/ML technical skills positions you for HR Analytics, People Analytics and Workforce Analytics roles that neither pure HR professionals nor pure data analysts can fill as effectively.
Yes. Our HR team places HR Analytics graduates in people analytics, HR BI and workforce planning roles across technology companies, BFSI, consulting firms and large corporates. You receive full placement support including ATS resume, mock interviews and direct referral.

Enroll in HR Analytics Course today

Book your free demo class โ€” meet your trainer, see the teaching style, ask everything you want. No commitment, no fees.

๐Ÿ“ Dilsukhnagar, Hyderabad ยท Online across India & Internationally ยท Monโ€“Sat 9AMโ€“8PM