HR Analytics Master Course with Excel, Python and R

HR Analytics Master Course with Excel, Python and R, available at $139.99, has an average rating of 4.44, with 179 lectures, 85 quizzes, based on 740 reviews, and has 6250 subscribers.

You will learn about Learn applied statistics right from scratch and move to machine learning. Simultaneously learn analytics on R and Python. 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. Identify the dependent and independent variable in your dataset. Understand the concepts of Statistical model building. Identify a business problem and its importance. Understand the concept of Machine Learning – Supervised and Unsupervised Learning Techniques. 4 Hands-on case studies. More than 20 types of charts/plots. All of it with practical approach. This course is ideal for individuals who are Data Analysis professionals looking to apply their skills to people management decisions. or 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 Students learning HR. or Students or any individual who want to advance into HR. or Business owners and Entrepreneurs. or And the most important is applying machine learning on HR Data and predicting futuristic insights. It is particularly useful for Data Analysis professionals looking to apply their skills to people management decisions. or 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 Students learning HR. or Students or any individual who want to advance into HR. or Business owners and Entrepreneurs. or And the most important is applying machine learning on HR Data and predicting futuristic insights.

Enroll now: HR Analytics Master Course with Excel, Python and R

Summary

Title: HR Analytics Master Course with Excel, Python and R

Price: $139.99

Average Rating: 4.44

Number of Lectures: 179

Number of Quizzes: 85

Number of Published Lectures: 179

Number of Published Quizzes: 85

Number of Curriculum Items: 264

Number of Published Curriculum Objects: 264

Original Price: ₹7,900

Quality Status: approved

Status: Live

What You Will Learn

Learn applied statistics right from scratch and move to machine learning.
Simultaneously learn analytics on R and Python.
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.
Identify the dependent and independent variable in your dataset.
Understand the concepts of Statistical model building.
Identify a business problem and its importance.
Understand the concept of Machine Learning – Supervised and Unsupervised Learning Techniques.
4 Hands-on case studies.
More than 20 types of charts/plots.
All of it with practical approach.

Who Should Attend

Data Analysis professionals looking to apply their skills to people management decisions.
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.
Students learning HR.
Students or any individual who want to advance into HR.
Business owners and Entrepreneurs.
And the most important is applying machine learning on HR Data and predicting futuristic insights.

Target Audiences

Data Analysis professionals looking to apply their skills to people management decisions.
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.
Students learning HR.
Students or any individual who want to advance into HR.
Business owners and Entrepreneurs.
And the most important is applying machine learning on HR Data and predicting futuristic insights.

HR analytics is also known as people 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 decisions and management for your company.

In this course, we take you on a journey where you start from a simple topic of calculating mean and move on to many complex topics such as text analytics. Hence you kickstart from statistics and land on machine learning techniques.

Once you have completed the course, you can help your company to better drive the ROI. 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.

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. In this course you will:

Learn applied statistics right from scratch.
Simultaneously learn analytics on R and Python.
Identify the dependent and independent variables in your dataset.
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.
Understand the concepts of Statistical model building.
Identify a business problem and its importance.
Understand the concept of Machine Learning – Supervised and Unsupervised Learning Techniques.
4 Hands-on case studies.
More than 20 types of charts/plots.
And the most important is applying machine learning on HR Data and predicting futuristic insights.

Course Curriculum

Chapter 1: Introduction: Welcome to HR Analytics Master Course

Lecture 1: Introduction

Chapter 2: Resources & Anatomy of Statistical Modelling

Lecture 1: Resources (IMPORTANT)

Lecture 2: Anatomy of Statistical Modeling

Chapter 3: Installation and Introduction to Python

Lecture 1: Installation of Python

Lecture 2: Getting Started with Python Packages

Lecture 3: Getting Started with Jupyter Notebook

Chapter 4: Installation and Introduction of R and Rstudio

Lecture 1: Installation and Introduction of R and Rstudio

Chapter 5: Importing Excel File in Python and R

Lecture 1: Importing Excel File in Python and R

Chapter 6: Understand, Import and Validate

Lecture 1: Population and Sample

Lecture 2: Types of Data

Lecture 3: Types of Data – Python

Lecture 4: Types of Data – R

Lecture 5: Data Dictionary

Lecture 6: Validate for Correctness- Python

Lecture 7: Validate for Correctness- R

Chapter 7: Statistics Part-1 : Univariate (Numerical Variable)

Lecture 1: Univariate Analysis

Lecture 2: Mean/Median/Mode – Excel

Lecture 3: Decoding Median

Lecture 4: Mean/Median/Mode – Python and R

Lecture 5: Measures of Variability

Lecture 6: Range – Python and R

Lecture 7: Inter-Quartile Range

Lecture 8: Inter-Quartile Range – Python and R

Lecture 9: Variance

Lecture 10: Variance- Excel, Python and R

Lecture 11: Standard Deviation

Lecture 12: Standard Deviation- Excel, Python and R

Lecture 13: Histogram- Python & R

Lecture 14: Skewness

Lecture 15: Skewness- Python and R

Lecture 16: Standardization

Lecture 17: Standardize in Python and R

Chapter 8: Statistics Part-2 : Univariate (Categorical Variable)

Lecture 1: Count, Frequency and Percentage

Lecture 2: Count and Percentages- Python and R

Lecture 3: Bar chart and Pie chart – Excel

Lecture 4: Bar chart and Pie chart- Python and R

Chapter 9: Data Cleaning Part-1

Lecture 1: Introduction

Lecture 2: Missing Values

Lecture 3: Missing Value – Excel

Lecture 4: Missing Value – Python

Lecture 5: Missing Value – R

Chapter 10: Data Cleaning Part-2

Lecture 1: Understanding Outlier

Lecture 2: Understanding Boxplot

Lecture 3: Detection by BoxPlot – Python and R

Lecture 4: Detection by Z-Score – Excel, Python and R

Lecture 5: Treating Outlier by Mean and Median – Python and R

Lecture 6: Treating by Flooring and Capping – Python and R

Chapter 11: Statistics Part-3 : Bi-variate Introduction

Lecture 1: Introduction to Bi-Variate

Chapter 12: Statistics Part-3 : Bi-variate Part-1 (Numerical Numerical)

Lecture 1: Scatter Plot

Instructors

Unlock HR
HR Analytics / People Analytics / Talent Analytics

Rating Distribution

1 stars: 14 votes
2 stars: 25 votes
3 stars: 122 votes
4 stars: 273 votes
5 stars: 306 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!

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