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

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