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👥 People Analytics 📍 Dilsukhnagar, Hyderabad ✅ Completion Terms Apply

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.

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DURATION

6 Weeks

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LEVEL

Beginner to Advanced

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MODE

Online · Offline · Hybrid

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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 → View Curriculum

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Free Demo Available
Contact us for current batch fees & EMI options

⏱ Duration: 6 Weeks
🎯 Level: Beginner to Advanced
💻 Online · Offline · Hybrid
🏆 Completion certificate after meeting course requirements
📁 Guided project and portfolio preparation
🧭 Prerequisites explained before enrollment
📞 Current trainer and batch details available before payment

Ask About Enrollment Book Free Demo Class Call: +91 93900 23585

Ask for the current syllabus, trainer, schedule, fees and support terms before enrolling.

About This Course

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

HR departments that use data to make decisions — about hiring, retention, performance, learning and workforce planning — 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

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Taught by an active HR Analytics professional building live workforce models

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

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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.

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Predict attrition before it happens — the most valuable HR AI application

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

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Complete HR dashboard and metrics system

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

Course Curriculum

5 modules · 6 Weeks · Guided practical work

The sequence below describes the current course plan. Ask for the dated batch syllabus because tools and module order may change.

HR Data Ecosystem & Python Foundations

8 topics · Week 1

HR data types: employee master, attendance, performance, compensation, engagement, exit

HRMS systems: SAP SuccessFactors, Workday, Darwinbox — 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

Workforce Analytics & Key HR Metrics

10 topics · 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

Predictive HR Analytics & Machine Learning

10 topics · Weeks 3–4

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 — 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

Workforce Planning & Forecasting

8 topics · Week 5

Workforce demand forecasting: predicting headcount needs 6–12 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

HR Dashboards, Reporting & Career Preparation

10 topics · 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 — 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 →

Career Relevance

Roles where these skills may be useful

Training does not guarantee a job, salary, promotion or internship. Outcomes depend on prior experience, project quality, assessment performance and employer requirements.

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HR Data Analyst / People Analyst

Large corporates, MNCs, consulting firms, tech companies with large workforce

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HR Business Intelligence Analyst

BFSI, manufacturing, IT services, FMCG companies with enterprise HRMS systems

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Workforce Planning Analyst

Fortune companies, consulting firms, large public sector organisations

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Talent Analytics Specialist

Tech companies, management consulting, talent management platform companies

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Compensation & Benefits Analyst

BFSI, FMCG, IT services — anywhere with large structured compensation data

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HR Analytics Consultant

Big 4, HR consulting firms, talent advisory companies

Ask for current career-support terms

We can explain the included resume, portfolio and interview support before enrollment. Employer decisions remain independent.

Who Is This For

This course is designed for you if…

👩‍💼

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.

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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.

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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.

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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.

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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.

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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 — HR background helpful but not required No prior programming or data science experience needed Interest in people, organisations and data

FAQs

Questions about HR Analytics Course?

Not finding your answer? Ask for the current syllabus, prerequisites, trainer, fees and batch schedule.

Ask on WhatsApp →

Do I need an HR background to take this course?

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 — and data professionals find that the HR context makes the analytics far more meaningful.

What is People Analytics and is it the same as HR Analytics?

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.

Is there demand for HR Analytics in India?

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 — Big 4, HR advisory — 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.

Will I learn to use specific HRMS systems like SAP or Workday?

You learn the data structures and data extraction concepts from SAP SuccessFactors, Workday and Darwinbox — 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.

Can I use this course to move from HR to a data analytics role?

Yes — 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.

Will I get placement support?

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.

HR Analytics Course

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

Taught by an active HR Analytics professional building live workforce models

The rarest combination: HR domain + data skills

Predict attrition before it happens — the most valuable HR AI application

Complete HR dashboard and metrics system

5 modules · 6 Weeks · Guided practical work

Tools used during guided practice

Roles where these skills may be useful

This course is designed for you if…

HR professionals wanting to become data-driven

Data analysts wanting a unique domain specialisation

MBA HR and BBA graduates entering the workforce

Business Partners and HR Managers wanting data depth

Data scientists wanting people analytics exposure

Operations and management professionals working with workforce data

Prerequisites

Questions about HR Analytics Course?

Review the HR Analytics Course before you enroll

HR Analytics Course

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

Taught by an active HR Analytics professional building live workforce models

The rarest combination: HR domain + data skills

Predict attrition before it happens — the most valuable HR AI application

Complete HR dashboard and metrics system

5 modules · 6 Weeks · Guided practical work

Tools used during guided practice

Roles where these skills may be useful

This course is designed for you if…

HR professionals wanting to become data-driven

Data analysts wanting a unique domain specialisation

MBA HR and BBA graduates entering the workforce

Business Partners and HR Managers wanting data depth

Data scientists wanting people analytics exposure

Operations and management professionals working with workforce data

Prerequisites

Questions about HR Analytics Course?

Review the HR Analytics Course before you enroll

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