People & HR Analytics & AI Course: Data-Driven HR
Master People & HR Analytics and AI with BinnBash Academy's advanced course. Learn data collection, analysis, predictive modeling, AI applications in HR, HR dashboards, and strategic insights for modern HR decision-making!
Transform HR with Data & AI!Who Should Enroll in this People & HR Analytics & AI Course?
This course is ideal for professionals looking to leverage data and AI for strategic HR decisions:
- HR Professionals (Generalists, Business Partners, Recruiters) seeking to become data-driven.
- Data Analysts and Business Intelligence Professionals interested in HR domain.
- HRIS Specialists and HR Operations Managers.
- Organizational Development and Talent Management Specialists.
- Consultants advising on HR strategy and digital transformation.
- Anyone with a passion for combining human capital with advanced analytical techniques.
People & HR Analytics & AI Course Prerequisites
- Basic understanding of HR functions and concepts.
- Familiarity with data analysis concepts (e.g., statistics, basic Excel).
- Proficiency in using common office software.
- Basic knowledge of programming (e.g., Python or R) is beneficial but not mandatory for all modules.
- Strong analytical and problem-solving skills.
- Curiosity about data and its application in human resources.
Key People & HR Analytics & AI Tools & Concepts Covered
Hands-on practice with data analysis, predictive modeling, and AI applications for strategic HR insights.
People & HR Analytics & AI: Comprehensive Syllabus & Practical Contents
Module 1: Introduction to HR Analytics & Data Foundations
- What is People Analytics? Evolution & Importance.
- Key HR Metrics & KPIs (Headcount, Turnover, Absenteeism, etc.).
- Data Sources in HR (HRIS, ATS, Surveys, etc.).
- Data Collection, Cleaning, and Preparation Techniques.
- Basic Statistical Concepts for HR Data.
- Lab: Identify key HR metrics, clean a sample HR dataset in Excel/Google Sheets.
Tools & Concepts:
- HR Metrics, Data Cleaning, Basic Statistics.
Expected Outcomes:
- Understand HR analytics fundamentals.
- Prepare HR data for analysis.
- Calculate key HR metrics.
Module 2: Descriptive & Diagnostic Analytics in HR
- Descriptive Statistics for HR Data (Mean, Median, Mode, Std Dev).
- Data Visualization for HR Insights (Charts, Graphs).
- Analyzing Turnover, Absenteeism, and Recruitment Data.
- Diagnostic Analytics: Root Cause Analysis in HR.
- Creating HR Dashboards with Excel/Power BI.
- Case Study: Analyze employee turnover trends and identify contributing factors.
- Lab: Build descriptive HR dashboards, perform root cause analysis.
Tools & Concepts:
- Excel, Power BI/Tableau, Descriptive Statistics.
Expected Outcomes:
- Visualize HR data effectively.
- Analyze HR trends.
- Identify root causes of HR issues.
Module 3: Predictive Analytics & Machine Learning for HR
- Introduction to Predictive Analytics in HR.
- Regression Analysis for Salary Prediction, Performance.
- Classification Models for Employee Attrition Prediction.
- Introduction to Machine Learning Algorithms (Linear Regression, Logistic Regression, Decision Trees).
- Feature Engineering for HR Data.
- Lab: Build a simple attrition prediction model using Python (Scikit-learn).
Tools & Concepts:
- Python (Pandas, Scikit-learn), Predictive Modeling.
Expected Outcomes:
- Build predictive HR models.
- Understand ML algorithms for HR.
- Forecast HR outcomes.
Module 4: AI Applications & Advanced Techniques in HR
- AI in Recruitment (Resume Screening, Chatbots).
- AI in Employee Engagement & Performance Management.
- Natural Language Processing (NLP) for Survey Analysis, Sentiment Analysis.
- Organizational Network Analysis (ONA) for Collaboration Insights.
- Ethical Considerations & Bias in HR AI.
- Lab: Use an NLP library to analyze employee feedback, visualize an ONA.
Tools & Concepts:
- NLP, ONA, AI Ethics.
Expected Outcomes:
- Apply AI to HR challenges.
- Analyze text data in HR.
- Understand ethical AI in HR.
Module 5: Prescriptive Analytics & Strategic HR Insights
- From Insights to Action: Prescriptive Analytics in HR.
- Developing Actionable Recommendations from Data.
- Measuring ROI of HR Initiatives (Training, Wellness Programs).
- Workforce Planning & Optimization using Analytics.
- HR Storytelling: Presenting Data Insights to Stakeholders.
- Case Study: Develop a data-driven strategy to reduce turnover.
- Lab: Calculate ROI for an HR program, create a compelling data presentation.
Tools & Concepts:
- ROI Calculation, Workforce Planning, Storytelling.
Expected Outcomes:
- Translate data into strategy.
- Measure HR program effectiveness.
- Communicate HR insights.
Module 6: HR Analytics & AI Project & Career Readiness
- End-to-End People Analytics Project.
- Integrating HR Data from Multiple Sources.
- Building a Professional People Analytics & AI Portfolio.
- Career Guidance: Resume Building, LinkedIn Optimization, Mock Interviews for HR Analytics roles.
- Final Project: Implement a comprehensive HR analytics solution, from data collection to predictive insights.
Tools & Concepts:
- Full Project Lifecycle, Portfolio Building.
- Career Prep for HR Analytics.
Expected Outcomes:
- Execute a full HR analytics project.
- Showcase advanced analytical skills.
- Secure a People Analytics/HR AI job.
This course provides hands-on expertise to make you a proficient and job-ready People & HR Analytics & AI professional!
People & HR Analytics & AI Professional Roles and Responsibilities in Real-Time Scenarios & Live Projects
Gain hands-on experience by working on live projects, understanding the real-time responsibilities of a People & HR Analytics & AI professional in leading global companies. Our curriculum aligns with industry demands for data-driven HR.
People Analytics Specialist
Collect, analyze, and interpret HR data to provide actionable insights on workforce trends, retention, and performance, as done at Google.
HR AI/ML Engineer
Develop and implement AI/Machine Learning models for HR applications such as attrition prediction, talent matching, and sentiment analysis, similar to work at Microsoft.
HR Data Scientist
Build advanced predictive models and statistical analyses to forecast HR outcomes and inform strategic workforce planning, common at Amazon.
Workforce Planning Analyst
Utilize data analytics to optimize workforce size, structure, and capabilities, ensuring the organization has the right talent at the right time.
Talent Analytics Manager
Lead data-driven initiatives to improve talent acquisition, development, and retention strategies, leveraging insights from HR data.
AI Ethics in HR Consultant
Advise organizations on ethical considerations, bias detection, and fairness in the application of AI and machine learning in HR processes.
Employee Experience Analyst
Analyze employee feedback, engagement survey data, and other qualitative data using NLP to enhance the overall employee experience.
Organizational Effectiveness Analyst
Apply data and network analysis to understand organizational structures, communication flows, and collaboration patterns to improve efficiency.
Our Alumni Works Here!
Ananya Sharma
People Analytics Spec.
Rohan Verma
HR Data Scientist
Priya Singh
Workforce Planning Analyst
Akash Gupta
HR AI Engineer
Divya Patil
Talent Analytics Cons.
Karan Mehta
HRIS Analyst (Data)
Meena Devi
People Analytics Intern
Siddharth Rao
HR Tech Consultant
Neha Sharma
HR Analytics Lead
Arjun Kumar
HR Data Strategist
Ananya Sharma
People Analytics Spec.
Rohan Verma
HR Data Scientist
Priya Singh
Workforce Planning Analyst
Akash Gupta
HR AI Engineer
Divya Patil
Talent Analytics Cons.
Karan Mehta
HRIS Analyst (Data)
Meena Devi
People Analytics Intern
Siddharth Rao
HR Tech Consultant
Neha Sharma
HR Analytics Lead
Arjun Kumar
HR Data Strategist
What Our People & HR Analytics & AI Students Say
"This course transformed my HR career! I now confidently use data to drive strategic decisions and predict workforce trends."
"Learning to build attrition models with Python was incredibly empowering. This is the future of HR!"
"The AI applications in HR module was fascinating. I can now envision and implement smart HR solutions."
"BinnBash Academy's focus on ethical AI and data privacy in HR is highly relevant and crucial for modern professionals."
"The instructors are industry experts who provided practical insights and hands-on projects that truly prepare you for the job market."
"I highly recommend this course for any HR professional looking to upgrade their skills with data and AI. It's comprehensive and impactful."
"From data collection to storytelling with HR insights, every module was practical and directly applicable to real-world scenarios."
"The emphasis on organizational network analysis opened my eyes to new ways of understanding collaboration and team dynamics."
"Learning to build HR dashboards with Power BI has made me an invaluable asset to my team. Data visualization skills are key!"
"The practical approach to learning, combined with industry-relevant tools, made this course stand out from others."
"This course transformed my HR career! I now confidently use data to drive strategic decisions and predict workforce trends."
"Learning to build attrition models with Python was incredibly empowering. This is the future of HR!"
"The AI applications in HR module was fascinating. I can now envision and implement smart HR solutions."
"BinnBash Academy's focus on ethical AI and data privacy in HR is highly relevant and crucial for modern professionals."
"The instructors are industry experts who provided practical insights and hands-on projects that truly prepare you for the job market."
"I highly recommend this course for any HR professional looking to upgrade their skills with data and AI. It's comprehensive and impactful."
"From data collection to storytelling with HR insights, every module was practical and directly applicable to real-world scenarios."
"The emphasis on organizational network analysis opened my eyes to new ways of understanding collaboration and team dynamics."
"Learning to build HR dashboards with Power BI has made me an invaluable asset to my team. Data visualization skills are key!"
"The practical approach to learning, combined with industry-relevant tools, made this course stand out from others."
People & HR Analytics & AI Job Roles After This Course
People Analytics Specialist
HR AI/ML Engineer
HR Data Scientist
Workforce Planning Analyst
Talent Analytics Manager
HR Tech Consultant (Analytics)
Organizational Effectiveness Analyst
HR Reporting Specialist