Certified HR Analytics Professional [CHRAP] - Self Paced

In the era of AI, Machine Learning, BOTS and Automation thousands of jobs are at stake worldwide. Unfortunately HR is not immune to this phenomenon. Very soon only those professionals will survive who are too specialized to be replaced.

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Course Overview
Length 4 Months
Regular Fee NGN 511500.00
Special Fee NGN 371250.00
Payment Plan Available
Course Type Self Paced
Review
(4.78)

Course Brochure

Discover complete module breakdowns, schedules, and learning outcomes.

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International Recognition

Cambridge Academy of Professionals (CAP) UK.

This program is Validated and Quality Assured by Cambridge Academy of Professionals (CAP) UK. [www.cambridgeacademy.uk]

SHRM

“World Academy is recognized by SHRM to offer Professional Development Credits (PDCs) for the SHRM-CP® or SHRM-SCP®.” [www.shrm.org]

The Certified HR Analytics Professional (CHRAP) program is designed to equip HR professionals with the analytical skills and data-driven insights needed to make strategic human resource decisions. This program covers the full HR analytics lifecycle—from data collection and cleaning to predictive modeling and performance measurement. Participants will gain hands-on experience in using HR metrics, statistical tools, and analytical methods to evaluate and improve various HR processes, including recruitment, employee engagement, performance management, and retention.
Through a combination of theoretical knowledge and practical application, participants will learn how to leverage data to optimize HR processes, forecast trends, and align HR strategies with overall business objectives. By the end of the course, participants will have the ability to transform HR data into actionable insights that drive business success.

By the end of this program, participants will be able to:

  • Understand the Fundamentals of HR Analytics – Develop a solid foundation in HR analytics concepts and their role in strategic HR management.
  • Master the Analytics Continuum – Learn how to progress from HR data reporting to analysis, monitoring, and prediction.
  • Develop Statistical Analysis Skills – Acquire knowledge of statistical tools and methods relevant to HR data analysis.
  • Ensure Data Quality and Integrity – Develop methods for accurate data collection, cleaning, sorting, and presentation.
  • Use Excel for HR Analytics – Learn how to apply Excel functions and tools to manage and analyze HR data.
  • Design and Execute Research Projects – Learn how to define research variables, design research studies, and operationalize data.
  • Conduct Correlation and Regression Analysis – Understand the relationship between different HR variables and predict future trends.
  • Link HR Analytics to Business Value – Develop the ability to align HR metrics with overall business objectives and performance outcomes.
  • Measure and Optimize HR Performance – Use key HR metrics to track performance and implement improvement strategies.
  • Create Data-Driven HR Strategies – Develop the ability to make strategic HR decisions based on data insights and predictive analysis.

M-1: Concept of HR Analytics

M-2: Analytics Continuum Reporting>Analysis>Monitoring>Prediction

M-3: Statistics for HR Analytics

M-4: Data collection, cleansing, sorting and presenting

M-5: Excel for HR Analytics, M-6: Research design, Research variables, Operationalization of data

M-7: HR Analytics for Optimizing various HR processes - Correlation analysis

M-8: Predictive analytics – Regression analysis

M-9: Analytics and HR value chain

M-10: Metrics for HR professionals

Pre-Course Assignment
  • 10 Practical Focus Module
  • 04 Reference Book
  • Post Completion:
    • Electronic Certificate
    • Digital Badge via Credly.com
    • Printed Certificate Available
    • Printed Transcript  Available

HR Data Analysis

Ability to analyze HR data to identify patterns, trends, and insights.

Statistical Proficiency

Competence in using statistical methods and tools for HR analysis.

Data Collection and Cleaning

Expertise in collecting and preparing data for accurate analysis.

Predictive Modeling

Skill in building and applying predictive models to forecast HR outcomes.

Excel and Analytical Tools

Proficiency in using Excel and other analytical platforms for HR data management and visualization.

HR Metrics and Performance Measurement

Ability to define and measure key HR performance indicators.

Strategic Decision-Making

Capability to use HR data to make informed business decisions.

Business Alignment

Ability to link HR strategies with broader business objectives through data insights.

Upon completing the program, participants will be able to:

  • Apply HR analytics to improve decision-making and business outcomes.
  • Develop and implement predictive models to forecast HR trends.
  • Collect, clean, and organize HR data for accurate analysis.
  • Perform correlation and regression analysis to identify key HR drivers.
  • Create HR reports and dashboards using Excel and other analytical tools.
  • Measure employee engagement, performance, and turnover using HR metrics.
  • Develop strategic HR plans based on data-driven insights.
  • Align HR processes with business strategy using analytical methods.
  • Improve recruitment, training, and retention through HR data analysis.
  • Communicate analytical findings effectively to senior management and stakeholders.
     
Features:

Features:
Duration: 4 Months
Short Video Materials: Yes
Mode of Learning: Self-Paced

Assignment:

  • Total Assignments: 05
  • 01 Pre-Course Assignment (Learning Purpose)
  • 03 In-Course Assignment
    • Each Assignment Marks: 100
    • Pass Mark: 70%
  • 01 Capstone Projects
    • Total Marks: 300
    • Pass Mark: 70%

Name: James Mwangi
Designation: HR Manager
Country: Kenya
"This course gave me practical knowledge on how to use HR data for strategic decision-making. I am now able to measure and improve HR performance effectively."

Name: Abigail Mensah
Designation: Talent Acquisition Specialist
Country: Ghana
"Learning about predictive analytics and regression analysis helped me forecast recruitment needs and improve hiring efficiency."

Name: David Banda
Designation: Senior HR Officer
Country: South Africa
"The modules on correlation analysis and HR value chain improved my ability to align HR activities with business strategy."

Name: Sarah Okeke
Designation: HR Consultant
Country: Nigeria
"This course has enhanced my ability to collect and clean HR data, allowing me to create accurate performance reports."

Name: Joseph Kamau
Designation: HR Business Partner
Country: Tanzania
"The training on Excel for HR analytics gave me the skills to create insightful dashboards and improve decision-making."

Exam Guideline

Exam Method:

  • Number of Exams: 01
  • Number of Questions: 20 MCQ Questions + 2 Written Questions
    • MCQ Questions: 2 * 20 = 40 Marks
    • Written Questions: 30 * 2 = 60 Marks
  • Duration: 90 Minutes
  • Total Marks: 100
  • Pass Mark: 70%