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- Introduction
People Analytics 101 : HR Analytics Fundamentals
Quick Facts
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Medium of instructions
English
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Mode of learning
Self study
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Mode of Delivery
Video and Text Based
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Course overview
People analytics is an approach that examines all people procedures, capabilities, obstacles, and opportunities in the workplace to improve these systems and achieve long-term business success. It is deeply data-driven and goal-focused. People Analytics 101: HR Analytics Fundamentals certification course is designed by Unlock HR- People Analytics, HR Analytics & Talent Analytics, which is presented by Udemy for individuals who want to learn how to make data-driven decisions about their teams, employees, and standard operating procedures.
People Analytics 101: HR Analytics Fundamentals online course encompasses 9 hours of comprehensive lectures supported by 12 downloadable resources and 6 articles which aim to provide individuals with the knowledge and skills necessary to use statistical data and technology on unutilized but crucial human data, enabling them to make business decisions and manage their organization. People Analytics 101: HR Analytics Fundamentals online classes explain the topics associated with the employee life cycle, HR metrics, data collection, data preparation, model evaluation, and more.
The highlights
- Certificate of completion
- Self-paced course
- 9 hours of pre-recorded video content
- 6 articles
- 12 downloadable resources
Program offerings
- Online course
- Learning resources
- 30-day money-back guarantee
- Unlimited access
- Accessible on mobile devices and tv
Course and certificate fees
Fees information
₹ 499 ₹2,699
certificate availability
Yes
certificate providing authority
Udemy
Who it is for
What you will learn
Human resource management
Statistical skills
Machine learning
Programming skills
After completing the People Analytics 101: HR Analytics Fundamentals online certification, individuals will gain a better understanding of the basics of human resources as well as will obtain knowledge of the concepts involved with people analytics and HR analytics. In this people analytics course, individuals will explore the concepts involved with the statistical model building as well as will acquire the skills to convert business problems into statistical problems Individuals will learn about the methodologies to measure variability, central tendency, and shape of data as well as will acquire the knowledge of the concepts involved with data collection, data preparation. In this people analytics certification, individuals will also learn about strategies involved with hypothesis testing, univariate analysis, bi-variate analysis, and model evaluation as well as will acquire an understanding of the fundamentals associated with machine learning including supervised and unsupervised learning.
The syllabus
Introduction to People Analytics 101
Journey of Analytics
- Journey of Analytics
- What is Analytics and Why it is important?
- Analytics Maturity Model
- Extras
Anatomy of Statistical Modeling
- Anatomy of Statistical Modeling
(Theory) - Understanding Business Problem
- Understanding Business Problem
- Knowledge Check (Business Problem Understanding)
(Practical) - Hands-on Project Introduction and Business Problem
- Introduction
- 1. Employee Turnover
- The Business Problem
Installation of R & R Studio
- Installation of R & R Studio
(Theory) - Data Discovery & Collection
- Full code
- Introduction to Data Discovery & Collection
- HR Data Architecture
- Data list preparation and identification of Data Sources
- Collect initial Data
- Define Variables and create Data Dictionary
- Data Verification
- Knowledge Check (Data Collection)
(Practical) - Data Discovery & Collection
- Resources
- Defining Variables and Data Dictionary
- Data Verification
(Theory) - Data Preparation
- Introduction to Data Preparation
- Uni-Variate Analysis
- Missing value treatment
- Outlier Detection & Treatment
- Feature Engineering - Variable Creation
- Feature Engineering - Variable Transformation
- Feature Engineering - Dimension Reduction
- Hypothesis Testing and Bi-Variate Analysis
- Data Split
- Knowledge Check (Data Preparation)
(Practical) - Data Preparation
- Univariate Analysis
- Feature Engineering Part - 1
- Bi-Variate Analysis Part - 1 (Categorical- Categorical)
- Bi-Variate Analysis Part - 2 (C-C Hypothesis Testing)
- Bi-Variate Analysis Part - 3 (Numerical - Categorical)
- Bi-Variate Analysis Part - 4 (Numerical - Categorical Hypothesis Testing)
- Feature Engineering Part - 2 (Dummy Variable Creation)
- Data Split
(Theory) - Model Selection & Building
- Model Selection & Building
- Knowledge Check (Model Selection)
(Practical) - Model Selection & Building
- Random Forest Theory and Code
- Understanding GINI Impurity
(Theory) - Model Evaluation
- Introduction to Model Evaluation
- Regression Model Evaluation
- Classification Model Evaluation
Knowledge Check (Model Evaluation)
(Practical) - Model Evaluation
- Random Forest Model Evaluation
Conclusion
- Conclusion
(Bonus) Journey of Analytics
- Information Regrading Bonus Lecture
- 1. Tools for Analytics
- 2. Areas of Business Analytics
- Knowledge Check (Journey of Analytics)
(Bonus) About HR Analytics
- 3. What is Human Resources and its Importance
- 4. Key objectives of HR Analytics
- 5. People Analytics applied to Employee Life Cycle
- 6. Critical Areas of People Analytics
(Bonus) HR Metrics
- 7. Introduction to HR Metrics
- 8. Ecosystem of HR Metrics
- 9. Metrics in critical areas of HR
- 10. Align HR Metrics with overall organizational strategies
- 11. The Journey from Metrics to Analytics
- Knowledge Check (HR Metrics)
Final Test
- Final Test
Final Bonus
- More Courses coming soon
Articles
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