Get updates on Eligibility, Admission, Placements Fees Structure
Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery | Frequency Of Classes |
|---|---|---|---|
| English | Self Study, Virtual Classroom | Video and Text Based | Weekends |
Course Overview
The Professional Certificate Programme in HR Analytics course is a 20 hours, 5 weeks programme that is presented by Bharatiya Vidya Bhavan, SPJIMR and ET Masterclass in a live online format. The syllabus covers everything that undertakes the topics that HR professionals usually keep in mind when making decisions for the welfare of the companies in terms of employees. The classes are always held on weekly schedules so that it does not affect the work-life balance of the professionals.
The Professional Certificate Programme in HR Analytics training will help in sourcing, analyzing and visualizing the HR data for making recommendations in case of business decision making. The candidates will also be able to empower themselves with analytics skills from the certificate course. The knowledge will enable the participants to flourish as HR professionals by identifying talent and working towards employee retention.
The Highlights
- 5 weeks course
- 20 hours of total content
- Live online sessions
- Weekend classes only
- Availability of recorded lectures
- Completion certificate
Programme Offerings
- 5 Weeks Course
- 20 hours of content
- live online classes
- 4 case studies
- 10 Live Sessions
- 3 assignments
- Team discussions
- completion certificate.
Courses and Certificate Fees
| Certificate Availability | Certificate Providing Authority |
|---|---|
| yes | SPJIMR Mumbai |
The Professional Certificate Programme in HR Analytics fee is Rs. 40,000 with GST charges. Often on this fee, the students can avail EMI facilities.
Professional Certificate Programme in HR Analytics Fee Structure
Description | Amount in INR |
Programme Fee | Rs. 40,000 + GST |
Eligibility Criteria
Certification Qualifying Details
The Professional Certificate Programme in HR Analytics by The Master Class, Economic Times, and SPJIMR will be provided when attending all the modules are completed by the participants.
What you will learn
After the completion of the Professional Certificate Programme in HR Analytics syllabus, the candidates will learn:
- The role played by analytics in the management of people.
- Understand how HR decision-making is taken into consideration in an organization.
- Ways in which the skills in the data-driven system can be used for analyzing, and making decisions in businesses.
- How candidates can make use of data analytics in making managerial decisions.
- The ways in which Agile transformation can be used in an organization.
- Understand the application of different technologies for HR practices.
- Appreciation of creative concepts of HR.
- Deriving key insights for making crucial business decisions.
Who it is for
This programme can be suitable for these professionals who want a career upgrade:
- Entrepreneurs
- Human Resource Managers
- Middle to Senior level HR leaders
- HR Business partners
- Other Non-HR Professionals
Admission Details
To get admission to the Professional Certificate Programme in HR Analytics classes, the students may follow the steps:
Step 1: Follow the official URL: https://masterclass.economictimes.indiatimes.com/hraspjimr
Step 2: Then proceed further by clicking the ‘Register Now’ button.
Step 3: Next during the next step fill in the required information along with the course fee.
Step 4: As soon as the application gets approved, admission is automatically approved.
The Syllabus
- Fundamentals of HRM
- Alignment of Business Strategy to People Strategy
- Strategic Role of Data-Driven Decision Making in HRM
- Analytics for value creation for the Business in an agile work environment
- Current Practices and Future directions
- Introduction to Statistics: Descriptive, Inferential, Predictive
- Framework for Problem Solving: Define Problem, Collect Data, Build the Model, Evaluate and Critique the Model, Present Results and Benefits, Deploy the Model
- Decision making during talent acquisition
- Regression
- Linear programming and SOLVER
- Basics of Probability, Normal curve
- Chi-square Test
- ANOVA
- Monte Carlo Simulation
- Six Sigma methodology
- Resource planning and Budgeting
- Optimum work assignment allocation
- Optimum Talent Management
- Evaluation of the effectiveness of employee training programme
- Manpower planning and Recruitment
- Attrition Analysis and retention planning
- Project planning and scheduling
- Performance Evaluation
- Measures to Track
- Attrition Analysis
- Different Talent Retention approaches/strategies
- Use of data-driven applications in Exit Interviews
- Performing a critical analysis on Turnover data
- Talent Retention approaches/strategies
- Analysing the data to draw insights. Reinforcing the organizational DNA
- Using Analytics to Optimize Employee Wellness
- Using Predictive Analytics to Optimize Employee Wellness
- Workforce considerations in a dynamic environment
- Steps to Workforce Planning for Agility - Supply, Demand forecasting, Gap and Solution Analysis (Markov Chain, Scatter Plot, Trend Analysis)
- Job Analysis, Job Design, and Evaluation: Concepts and Metrics
- Redesigning workforce composition
- Critical Stages of Talent Life Cycle
- Determining Quality of Hire
- Assessing Fit – P-J, P-O, P-V (Person – Job, Person-Organization, Person Value Fit
- Creating an onboarding Strategy
- Employee Training and Development Analytics
- Arriving at Employer Value Propositions for talent attraction and retention
- Identifying Drivers of Employee Engagement – EVLN Model
- Enabling Employee Voice: Engagement Surveys v/s Engagement Platforms
- AI Chatbots and its ROI(Employee engagement with AI chatbots)
- Handling Ethical Concerns in Chatbots
- Tracking Variations in Employee Engagement data through Sentiment analysis
- Assessing Employee Engagement Levels in Teams: Organizational Network Analysis and Interventions
- Jobs, Roles, and Competencies
- Quantifying Competencies and Strengths
- Performance vs Potential - Key Decision Dilemmas
- Rewards - Key Considerations, Performance Feedback Analysis
- Application of AI, ML, and NLP in HR domain and emerging technologies such as Blockchain- implementation possibilities, limitations, and ethical concerns
- Performance vs Potential - Key Decision Dilemmas
- Analysis of datasets on recruitment, compensation, performance, engagement, competency
- Agile Transformation in the organization to improve performance