Course Overview

Certificate Course in HR Analytics & People Insights

Course Title: HR Analytics & People Insights

Start Date: January 10, 2026

Duration: 20–24 hours (4–6 weeks)

Mode: Hybrid (Hands-on + Interactive sessions)

Class Size: Up to 50 participants

Course Equivalent: 2 Credit Hours

Course Fee: BDT 3,000.00

Course Description

Transform from traditional HR to a data-driven HR leader. This hands-on course is designed for HR professionals, managers, and placement officers who want to use real data and dashboards to make smarter decisions in recruitment, performance, retention, and workforce planning. Master Excel and Power BI for HR dashboards, build predictive attrition models, and calculate strategic HR KPIs — no prior technical background required.

Syllabus

Module 1: Introduction to HR Analytics & Data-Driven HR

Hours: 2

Topics

• What is HR Analytics?
• Why HR is shifting from intuition-based to data-driven decisions
• Types of analytics: Descriptive, Diagnostic, Predictive, Prescriptive
• HR data sources (HRIS, ATS, LMS, ERP, surveys)
• Ethical considerations & data privacy

Learning Outcomes

• Understand HR analytics fundamentals
• Identify data opportunities in HR processes

Module 2: HR Data Basics & Data Management

Hours: 3–4

Topics

• Types of HR data (employee, recruitment, performance, learning, exit)
• Data cleaning: removing duplicates, formatting, missing values
• HR data structuring (tables, codes, relationships)
• Basics of Excel formulas for HR
• Data quality issues in HR departments

Tools

• Excel / Google Sheets

Learning Outcomes

• Collect, clean, and prepare HR datasets
• Build structured HR data tables

Practical Activities

• Clean a raw HR dataset
• Prepare a structured HR master file

Module 3: Workforce Dashboards Using Excel

Hours: 4

Topics

• Using Pivot Tables for HR analytics
• Charts for HR insights (bar, trend, pie, waterfall)
• Dashboard fundamentals (design, layout, formatting)
• Building a real-time HR dashboard

KPIs Covered

• Headcount
• Turnover rate
• Absence rate
• Recruitment funnel KPIs
• Hiring velocity
• Diversity ratio

Learning Outcomes

• Build complete HR dashboards in Excel
• Visualize HR KPIs effectively

Practical Activities

• Build an end-to-end HR dashboard from sample data

Module 4: HR Dashboards Using Power BI

Hours: 4–5

Topics

• Introduction to Power BI (interface, data loading, data modeling)
• Using DAX for HR calculations
• Creating visuals for HR datasets
• Slicers & filters for HR segmentation
• Dashboard publishing & sharing

Learning Outcomes

• Create professional HR dashboards using Power BI
• Analyze HR data using interactive tools

Practical Activities

• Build a Power BI dashboard (turnover, recruitment, attendance)
• Publish a dashboard & create role-based views

Module 5: Predictive HR Analytics (Attrition & Performance)

Hours: 4

Topics

• Introduction to predictive modeling concepts
• Identifying predictors: tenure, performance, salary, engagement score
• Building an attrition prediction model (step-by-step)
• Using regression, clustering & trend analysis
• Predicting performance outcomes
• Risk scoring and interpretation

Tools

• Excel (Data Analysis ToolPak)
• Power BI (AutoML – optional)
• Beginner-level AI tools for prediction

Learning Outcomes

• Understand how predictive HR models work
• Identify employee attrition patterns
• Build simple predictive models using available tools

Practical Activities

• Create an attrition prediction model
• Identify high-risk employee groups

Module 6: HR Metrics & KPIs

Hours: 3

Topics

• Core HR metrics:
• Headcount
• Attrition rate
• Recruitment lead time
• Cost per hire
• Training ROI
• Performance distribution
• Engagement index
• Strategic HR Metrics:
• Quality of hire
• Leadership pipeline strength
• Skills gap index
• Talent mobility rate
• KPI dashboards for:
• Talent Acquisition
• Performance Management
• L&D
• Workforce Planning

Practical Activities

• Create a KPI scorecard for an HR department

Module 7: Capstone Project & Assessment

Hours: 2

Capstone Project Options (Choose One)

1. Build an HR Analytics Dashboard (Excel or Power BI)
2. Create a predictive attrition model
3. Develop a KPI scorecard for your HR department

Entry Qualifications

• HR Managers, HR Executives, Talent Acquisition Teams, HR Business Partners
• University CDC/Placement unit members
• Anyone transitioning to data-driven HR roles
• Basic knowledge of Excel is helpful but not mandatory

Career Pathways

• HR Analytics Specialist – High-demand role in multinational & large local companies
• People Analytics Manager – Lead data-driven HR transformation
• HR Business Partner (Analytics) – Strategic partner using data insights
• Workforce Planning Analyst – Forecast hiring & skill gaps
• Talent Intelligence Lead – Drive recruitment with predictive analytics
• HR Dashboard & Reporting Expert – Freelance or full-time in any industry

Assessment Criteria

• Class participation & practical exercises – 30%
• Hands-on assignments & module projects – 30%
• Final Capstone Project & Presentation – 40%
• Certification: Official Micro-Credential Certificate from DIU (minimum 70% grade + 80% attendance)

Course Deliverables

• HR Analytics Excel Toolkit
• HR KPI Templates
• Power BI Dashboard Files
• Clean HR Datasets for Practice
• Lifetime access to recorded sessions & materials

Course Overview

Recruitment & Talent Acquisition Mastery

Course Title: Recruitment & Talent Acquisition Mastery

Start Date: January 10, 2026

Duration: 20–24 hours (4–6 weeks)

Mode: Hybrid (Live Online + In-person Workshops)

Class Size: Up to 50 participants

Course Equivalent: 2 Credit Hours

Course Fee: BDT 3,000

Course Description

Become a world-class recruiter in just 4–6 weeks. Led by one of Bangladesh’s top HR leaders, this intensive, fully practical course transforms you into a modern Talent Acquisition expert. Master competency-based hiring, behavioral interviewing, employer branding, AI-powered sourcing, ATS automation, and recruitment analytics — everything today’s leading companies demand.

Syllabus

Module 1: Foundations of Modern Talent Acquisition

Hours: 2

Topics

• What is Talent Acquisition (TA) vs. Recruiting
• Recruitment lifecycle: Job requisition → Hiring → Onboarding
• Roles in TA: Sourcing, screening, assessing, employer branding
• Future trends in TA (AI, automation, skills-first hiring)

Learning Outcomes

• Understand the full recruitment cycle
• Identify modern TA functions and tools

Module 2: Competency-Based Recruitment (CBR)

Hours: 6

2.1 Introduction to Competency Frameworks

• What is competency
• Types: Core, functional, leadership competencies
• Why organizations use competency-based hiring

2.2 Job Analysis & Competency Mapping

• Job analysis techniques (interview, observation, questionnaire)
• Writing competency-based Job Descriptions (JD)
• Creating a competency matrix

2.3 Competency-Based Questioning

• Competency indicators & behaviors
• STAR, CAR, and SOAR methods
• Crafting competency-based interview questions

2.4 Assessing Candidate Competency

• Rating scales & scoring rubrics
• Behavioral indicators for soft and hard skills
• Avoiding bias in competency evaluation

Learning Outcomes

• Map competencies for any role
• Design competency-based JDs & interview questions
• Evaluate candidates objectively

Practical Activities

• Develop a competency model for 1 job role
• Create 10 STAR-based interview questions
• Group exercise: Competency mapping workshop

Module 3: Employer Branding for Talent Attraction

Hours: 4

3.1 Introduction to Employer Branding

• What is Employer Value Proposition (EVP)
• Difference between company brand & employer brand
• Why employer branding increases quality of hire

3.2 Building a Strong EVP

• Identifying cultural strengths
• Employee testimonials & storytelling
• Communicating values and culture

3.3 Digital Employer Branding

• LinkedIn, Facebook, Instagram, career pages
• Job post optimization techniques
• Content strategy for talent attraction
• University engagement & campus recruitment branding

3.4 Metrics for Employer Branding

• Engagement, brand reach, application rate
• Candidate perception metrics
• Glassdoor & Google Reviews management

Learning Outcomes

• Build an EVP for an organization
• Create branding strategies for recruitment
• Design branded job posts and campaign ideas

Practical Activities

• Create an EVP for a sample company
• Design a LinkedIn employer branding post
• Audit a company’s employer brand presence

Module 4: Behavioral Interview Techniques

Hours: 6

4.1 Understanding Behavioral Interviews

• What is behavioral interviewing
• Why past behavior predicts future performance
• Structured vs. unstructured interviews

4.2 STAR Technique Mastery

• Situation, Task, Action, Result breakdown
• How to probe for deeper insights
• Identifying red flags in responses

4.3 Conducting Effective Interviews

• Planning and structuring the interview
• Panel interview best practices
• Avoiding interviewer bias
• Building interviewer professionalism

4.4 Candidate Evaluation & Scoring

• Scoring rubric design
• Behavioral indicators for:
• Leadership
• Problem-solving
• Teamwork
• Adaptability
• Communication

Learning Outcomes

• Conduct structured behavioral interviews
• Create scoring rubrics
• Confidently evaluate candidate responses

Practical Activities

• Mock behavioral interview (live)
• Prepare a question bank for a specific role
• Evaluate sample candidate responses

Module 5: Recruitment Automation Tools & Digital Hiring

Hours: 4–6

5.1 Applicant Tracking Systems (ATS)

• What is an ATS
• How ATS filters and ranks CVs
• ATS-friendly job descriptions
• Leading ATS Platforms:
• BambooHR
• Workable
• Zoho Recruit
• Greenhouse
• Lever

5.2 Sourcing Automation Tools

• Boolean search automation
• Tools:
• LinkedIn Recruiter
• HireEZ
• SeekOut
• Indeed Resume Search
• ContactOut, SignalHire (email finders)

5.3 Screening Automation

• AI-based resume screening
• AI-powered JD generator
• Tools:
• ChatGPT for HR
• Talentlyft
• Paradox Olivia
• XOR AI recruiter

5.4 Interview Automation

• AI interview assistants
• Video interview platforms
• Assessment tools:
• HireVue
• TestGorilla
• Mercer Mettl
• Vervoe

5.5 Recruitment Dashboards & Analytics

• Basic metrics: Time-to-hire, cost-per-hire, quality-of-hire
• Building recruitment dashboards in Excel/Power BI
• Data-driven decision making in TA

Learning Outcomes

• Understand top ATS tools
• Automate sourcing & screening
• Use analytics in recruitment
• Design recruitment dashboards

Practical Activities

• Hands-on with mock ATS
• Boolean search workshop
• Create a recruitment dashboard template

Module 6: Capstone Project & Assessment

Hours: 2

Capstone

Learners must complete a full Talent Acquisition Portfolio, including:

1. Competency-based JD
2. EVP for a sample company
3. 10 behavioral interview questions
4. Mock interview evaluation sheet
5. Recruitment automation strategy (which tools & why)

Assessment Methods

• Quiz on TA concepts
• Assignment submission
• Viva / mock interview performance
• Portfolio evaluation

Entry Qualifications

• HR professionals, recruiters, career counselors, university CDC/placement officers
• Anyone aspiring to enter or excel in Talent Acquisition
• Basic understanding of recruitment helpful but not required

Career Pathways

• Talent Acquisition Specialist/Manager – MNCs & top local groups
• Recruitment Lead – IT, garments, banking, telecom sectors
• Employer Branding Specialist – Build irresistible company culture
• Campus Recruitment Head – Universities & corporate programs
• Recruitment Automation Expert – High-demand niche role
• Freelance Corporate Recruiter / Headhunter – Premium earnings

Assessment Criteria

• Quizzes & assignments – 30%
• Mock interviews & practical exercises – 30%
• Final TA Portfolio & presentation – 40%
• Certification: Official Micro-Credential Certificate from DIUMCA

Course Overview

AI-Powered HR Management

Course Title: AI-Powered HR Management

Start Date: January 10, 2026

Duration: 18–24 hours (4–6 weeks)

Mode: Hybrid (Live Online + Hands-on Workshops)

Class Size: Up to 50 participants

Course Equivalent: 1 Credit Hour

Course Fee: BDT 3,000.00

Course Description

The future of HR is here. In just 4–6 weeks, master 50+ AI tools that top HR leaders are using today to automate 70–80% of routine work. Write JDs in seconds, screen hundreds of CVs instantly, generate performance reviews, build smart payroll systems, and design personalized learning paths — all with AI. Zero coding required. Led by one of Bangladesh’s most innovative HR Heads, this is the most practical AI-for-HR course in the country.

Syllabus

Entry Qualifications

• HR professionals, managers, or anyone working in people operations
• University CDC/placement officers
• No coding or advanced tech skills required — just curiosity!

Career Pathways

• AI-HR Specialist – The most in-demand HR role of 2025–2030
• People Operations Manager (AI-enabled)
• HR Tech & Automation Lead
• Digital HR Business Partner
• HR Consultant (AI & Automation)
• Head of HR (SME/Startups) – Stand out with cutting-edge AI skills

Assessment Criteria

• Practical tasks & quizzes – 40%
• AI workflow assignments – 20%
• Final Capstone Portfolio & viva – 40%
• Certification: Official Micro-Credential Certificate from DIU + AI-HR Toolkit

Course Deliverables

• 100+ ready-to-use AI prompts & templates
• AI-powered JD generator, screening framework, performance review templates
• Automated HR dashboard templates (Excel + Power BI)
• Lifetime access to recordings and updated resources