HR Analytics Master Course with Excel, Python and R
The Most Comprehensive Course on Data Analytics and HR Analytics.
4.39 (793 reviews)

6 621
students
13 hours
content
Nov 2020
last update
$124.99
regular price
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.
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Our Verdict
The HR Analytics Master Course with Excel, Python and R is a comprehensive course offering hands-on experience in data analytics techniques tailored to the HR industry. While it caters well to those seeking a broad understanding of the subject, users should be prepared for some coding difficulties, potentially requiring additional resources or background. With its practical approach, this Udemy course remains a solid starting point for aspiring HR analysts.
What We Liked
- Covers a wide range of HR analytics techniques using Excel, Python, and R
- Highly responsive instructor willing to help with questions
- Applies statistical concepts to real-world HR cases and references
- Hands-on approach to learning data analytics in HR
Potential Drawbacks
- Some users found the coding sections difficult, particularly for those with little experience in programming
- Lacked depth in certain topics such as text analytics and Predictive Attrition Analysis
- Projects more focused on R than Python; could benefit from providing corresponding Python codes for case studies
- Some users experienced issues with installing files, importing libraries, and accessibility
Related Topics
2676416
udemy ID
27/11/2019
course created date
21/03/2020
course indexed date
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