People Analytics 101 : HR Analytics Fundamentals
People Analytics 101 : HR Analytics Fundamentals, available at $84.99, has an average rating of 4.45, with 59 lectures, 8 quizzes, based on 1753 reviews, and has 6256 subscribers.
You will learn about A Step by Step Approach to solve Business Problems in the area of People Analytics. Understand the concepts of Statistical model building. Journey of Analytics. HR analytics and its importance. Employee life cycle the areas where you can use analytics. Get an understanding of HR metrics and the Journey from Metrics to Analytics. Identify a business problem and its importance. You’ll also learn how to convert a business problem into statistical problem. Understand the science behind gathering the data from various sources and how to do it right. Understand how to create an efficient data dictionary for better understanding and future reference. Identify the dependent and independent variable in your dataset. Understand and learn about various file formats in which the data is stored Understand the steps involved in data preparation. Various methods to measure Central Tendency, Variability and Shape of data. Understand the steps involved in hypothesis testing, Univariate and Bi-variate Analysis. Learn the concepts of Feature Engineering. R and Rstudio: Installation, importing files and installation of packages. Understand the concept of Machine Learning – Supervised and Unsupervised Learning Techniques. This course is ideal for individuals who are HR Professionals who want to incorporate data analysis into their practice. or Managers who want to make data-driven decisions about employee, teams and their management practices. or Data Analysis professionals looking to apply their skills to people management decisions. or Students learning HR. or Students or any individual who want to advance into HR. or Business owners and Entrepreneurs. It is particularly useful for HR Professionals who want to incorporate data analysis into their practice. or Managers who want to make data-driven decisions about employee, teams and their management practices. or Data Analysis professionals looking to apply their skills to people management decisions. or Students learning HR. or Students or any individual who want to advance into HR. or Business owners and Entrepreneurs.
Enroll now: People Analytics 101 : HR Analytics Fundamentals
Summary
Title: People Analytics 101 : HR Analytics Fundamentals
Price: $84.99
Average Rating: 4.45
Number of Lectures: 59
Number of Quizzes: 8
Number of Published Lectures: 59
Number of Published Quizzes: 8
Number of Curriculum Items: 67
Number of Published Curriculum Objects: 67
Original Price: ₹7,900
Quality Status: approved
Status: Live
What You Will Learn
- A Step by Step Approach to solve Business Problems in the area of People Analytics.
- Understand the concepts of Statistical model building.
- Journey of Analytics.
- HR analytics and its importance.
- Employee life cycle the areas where you can use analytics.
- Get an understanding of HR metrics and the Journey from Metrics to Analytics.
- Identify a business problem and its importance. You’ll also learn how to convert a business problem into statistical problem.
- Understand the science behind gathering the data from various sources and how to do it right.
- Understand how to create an efficient data dictionary for better understanding and future reference.
- Identify the dependent and independent variable in your dataset.
- Understand and learn about various file formats in which the data is stored Understand the steps involved in data preparation.
- Various methods to measure Central Tendency, Variability and Shape of data.
- Understand the steps involved in hypothesis testing, Univariate and Bi-variate Analysis.
- Learn the concepts of Feature Engineering.
- R and Rstudio: Installation, importing files and installation of packages.
- Understand the concept of Machine Learning – Supervised and Unsupervised Learning Techniques.
Who Should Attend
- HR Professionals who want to incorporate data analysis into their practice.
- Managers who want to make data-driven decisions about employee, teams and their management practices.
- Data Analysis professionals looking to apply their skills to people management decisions.
- Students learning HR.
- Students or any individual who want to advance into HR.
- Business owners and Entrepreneurs.
Target Audiences
- HR Professionals who want to incorporate data analysis into their practice.
- Managers who want to make data-driven decisions about employee, teams and their management practices.
- Data Analysis professionals looking to apply their skills to people management decisions.
- Students learning HR.
- Students or any individual who want to advance into HR.
- Business owners and Entrepreneurs.
People analytics is also known as HR analytics or you can say talent analytics. It is kind of analytics which helps HR managers, executives to make data-driven decisions about their employee or the workforce. It gives you expertise in using statistics, technology on unused but very important people’s data which can help you in making better business decision and management for your company. If we talk about numbers, research by McKinsey shows the people analytics can help in an 80% increase in recruiting efficiency, 25% rise in business productivity and 50% decreases in attrition rate.
Once you have completed the course, you can help your company to better drive the return on their investment on their employee. Classic approaches are not sufficient in getting the required result in the long run.
To overcome this gap we came up with a solution where you can learn the techniques of solving these problems on your own in a very simple and intuitive self-paced learning method.
You will understand how and when to use the people’s data to make decisions on
-
Hiring,
-
Recruitment,
-
Talent Development,
-
Employee Retention,
-
Employee Satisfaction,
-
Employee Engagement, etc.
Don’t worry we will not going to perform complex talent management data analysis, but guide you to reach that step.
We have tried to create a very simple structure for this course so even if you have no knowledge or very basic knowledge of analytics then even you won’t face any problem throughout the course. Let’s take a look at the structure. We will start with the
-
Understanding of what is analytics and why it is required.
-
Areas where you need to apply your business analytics understanding.
-
Understanding and acting on talent data across the entire employee life cycle.
-
Understanding a business problem
-
Finding a better analytical solution to that business problem
-
How to collect data to solve that problem
-
How to Find solutions using basic analytics technique or you can say Exploratory Data analytics.
-
Applying feature engineering techniques to get the most out of data.
-
You will also learn, how to do hypothesis testing and what are various techniques.
-
And the most important is applying machine learning on HR Data and predicting futuristic insights.
-
Oh, and wait, you are also learning data analysis techniques, which you can apply anywhere.
We intend to introduce you to “Businesses prosper when the people who work in them prosper”. People analytics 101 is curated to help make both happen and at the same time, you flourish in your career growth, too.
Course Curriculum
Chapter 1: Introduction to People Analytics 101
Lecture 1: Introduction
Chapter 2: Journey of Analytics
Lecture 1: Journey of Analytics
Lecture 2: What is Analytics and Why it is important?
Lecture 3: Analytics Maturity Model
Lecture 4: Extras
Chapter 3: Anatomy of Statistical Modeling
Lecture 1: Anatomy of Statistical Modeling
Chapter 4: (Theory) – Understanding Business Problem
Lecture 1: Understanding Business Problem
Chapter 5: (Practical) – Hands-on Project Introduction and Business Problem
Lecture 1: Introduction
Lecture 2: 1. Employee Turnover
Lecture 3: The Business Problem
Chapter 6: Installation of R & R Studio
Lecture 1: Installation of R & R Studio
Chapter 7: (Theory) – Data Discovery & Collection
Lecture 1: Full code
Lecture 2: Introduction to Data Discovery & Collection
Lecture 3: HR Data Architecture
Lecture 4: Data list preparation and identification of Data Sources
Lecture 5: Collect initial Data
Lecture 6: Define Variables and create Data Dictionary
Lecture 7: Data Verification
Chapter 8: (Practical) – Data Discovery & Collection
Lecture 1: Resources
Lecture 2: Defining Variables and Data Dictionary
Lecture 3: Data Verification
Chapter 9: (Theory) – Data Preparation
Lecture 1: Introduction to Data Preparation
Lecture 2: Uni-Variate Analysis
Lecture 3: Missing value treatment
Lecture 4: Outlier Detection & Treatment
Lecture 5: Feature Engineering – Variable Creation
Lecture 6: Feature Engineering – Variable Transformation
Lecture 7: Feature Engineering – Dimension Reduction
Lecture 8: Hypothesis Testing and Bi-Variate Analysis
Lecture 9: Data Split
Chapter 10: (Practical) – Data Preparation
Lecture 1: Univariate Analysis
Lecture 2: Feature Engineering Part – 1
Lecture 3: Bi-Variate Analysis Part – 1 (Categorical- Categorical)
Lecture 4: Bi-Variate Analysis Part – 2 (C-C Hypothesis Testing)
Lecture 5: Bi-Variate Analysis Part – 3 (Numerical – Categorical)
Lecture 6: Bi-Variate Analysis Part – 4 (Numerical – Categorical Hypothesis Testing)
Lecture 7: Feature Engineering Part – 2 (Dummy Variable Creation)
Lecture 8: Data Split
Chapter 11: (Theory) – Model Selection & Building
Lecture 1: Model Selection & Building
Chapter 12: (Practical) – Model Selection & Building
Lecture 1: Random Forest Theory and Code
Lecture 2: Understanding GINI Impurity
Chapter 13: (Theory) – Model Evaluation
Lecture 1: Introduction to Model Evaluation
Lecture 2: Regression Model Evaluation
Lecture 3: Classification Model Evaluation
Chapter 14: (Practical) – Model Evaluation
Lecture 1: Random Forest Model Evaluation
Chapter 15: Conclusion
Lecture 1: Conclusion
Chapter 16: (BONUS) Journey of Analytics
Lecture 1: Information Regrading Bonus Lecture
Lecture 2: 1. Tools for Analytics
Lecture 3: 2. Areas of Business Analytics
Chapter 17: (BONUS) About HR Analytics
Lecture 1: 3. What is Human Resources and its Importance
Lecture 2: 4. Key objectives of HR Analytics
Lecture 3: 5. People Analytics applied to Employee Life Cycle
Lecture 4: 6. Critical Areas of People Analytics
Chapter 18: (Bonus) HR Metrics
Lecture 1: 7. Introduction to HR Metrics
Lecture 2: 8. Ecosystem of HR Metrics
Lecture 3: 9. Metrics in critical areas of HR
Lecture 4: 10. Align HR Metrics with overall organizational strategies
Lecture 5: 11. The Journey from Metrics to Analytics
Chapter 19: Final Test
Chapter 20: Final Bonus
Lecture 1: More Courses coming soon
Instructors
-
Unlock HR
HR Analytics / People Analytics / Talent Analytics
Rating Distribution
- 1 stars: 28 votes
- 2 stars: 80 votes
- 3 stars: 390 votes
- 4 stars: 683 votes
- 5 stars: 572 votes
Frequently Asked Questions
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
You may also like
- Top 10 Video Editing Courses to Learn in November 2024
- Top 10 Music Production Courses to Learn in November 2024
- Top 10 Animation Courses to Learn in November 2024
- Top 10 Digital Illustration Courses to Learn in November 2024
- Top 10 Renewable Energy Courses to Learn in November 2024
- Top 10 Sustainable Living Courses to Learn in November 2024
- Top 10 Ethical AI Courses to Learn in November 2024
- Top 10 Cybersecurity Fundamentals Courses to Learn in November 2024
- Top 10 Smart Home Technology Courses to Learn in November 2024
- Top 10 Holistic Health Courses to Learn in November 2024
- Top 10 Nutrition And Diet Planning Courses to Learn in November 2024
- Top 10 Yoga Instruction Courses to Learn in November 2024
- Top 10 Stress Management Courses to Learn in November 2024
- Top 10 Mindfulness Meditation Courses to Learn in November 2024
- Top 10 Life Coaching Courses to Learn in November 2024
- Top 10 Career Development Courses to Learn in November 2024
- Top 10 Relationship Building Courses to Learn in November 2024
- Top 10 Parenting Skills Courses to Learn in November 2024
- Top 10 Home Improvement Courses to Learn in November 2024
- Top 10 Gardening Courses to Learn in November 2024