HR Analytics – Workforce Management using R
HR Analytics – Workforce Management using R, available at $39.99, has an average rating of 3.95, with 16 lectures, based on 16 reviews, and has 117 subscribers.
You will learn about Work Force Management Erlang HR Analytics R Anatomy of Statistical Model to understand the technique of solving any business problem through analytics. Learn how to understand Business problem and what are the key factors. Getting the most out of data using basic analytics technique or you can say Exploratory Data analytics. Applying feature engineering techniques to get in depth knowledge hidden inside the data. This course is ideal for individuals who are HR proffesionals or Data Science Enthusisasts It is particularly useful for HR proffesionals or Data Science Enthusisasts.
Enroll now: HR Analytics – Workforce Management using R
Summary
Title: HR Analytics – Workforce Management using R
Price: $39.99
Average Rating: 3.95
Number of Lectures: 16
Number of Published Lectures: 16
Number of Curriculum Items: 16
Number of Published Curriculum Objects: 16
Original Price: ₹7,900
Quality Status: approved
Status: Live
What You Will Learn
- Work Force Management
- Erlang
- HR Analytics
- R
- Anatomy of Statistical Model to understand the technique of solving any business problem through analytics.
- Learn how to understand Business problem and what are the key factors.
- Getting the most out of data using basic analytics technique or you can say Exploratory Data analytics.
- Applying feature engineering techniques to get in depth knowledge hidden inside the data.
Who Should Attend
- HR proffesionals
- Data Science Enthusisasts
Target Audiences
- HR proffesionals
- Data Science Enthusisasts
This course revolves around finding the right people to be deployed for a given task at the right time, to ensure that the customer expectations and metrics are being met. As an HR professional or a business partner, you play an important role, which is managing the workforce.
In this course:
You will learn the basics of workforce management.
Tackle the problem of shortage of employees by performing resource management.
We will solve a business problem that involves customers getting dissatisfied with the customer care service, due to non-availability and high waiting time which leads to customers abandoning the calls.
You will study the call volume dataand relate with employee demographics.
Learn about Erlang Cand it’s applications in Rstudioto predict the number of employees required on an hourly interval to meet customer expectations.
Master practical skills to solve an HR business problem using a Step-by-step approach called “Anatomy of a Statistical Model”.
Understand how to prepareand explore the data for meaningful insights.
Applying feature engineering techniques to get in-depth knowledge hidden inside the data.
Course Curriculum
Chapter 1: Introduction to the Business Problem
Lecture 1: Business Problem
Chapter 2: Introduction to Workforce Management
Lecture 1: Workforce Management
Chapter 3: Anatomy of Statistical Model
Lecture 1: Anatomy of Statistical Model
Chapter 4: Installation of Rstudio
Lecture 1: Installation of Rstudio
Chapter 5: Data Verification
Lecture 1: CODE
Lecture 2: Introduction to the Data
Lecture 3: Data Verification
Chapter 6: Data Preparation
Lecture 1: Univariate Analysis
Lecture 2: Feature Engineering
Lecture 3: Univariate – part 2
Lecture 4: Bivariate Analysis
Chapter 7: Workforce Analytics
Lecture 1: Erlang Theory
Lecture 2: Data Preparation for Erlang
Lecture 3: Erlang hands on
Chapter 8: Bonus
Lecture 1: Automated Workforce Management solution
Lecture 2: BONUS CODE
Instructors
-
Unlock HR
HR Analytics / People Analytics / Talent Analytics
Rating Distribution
- 1 stars: 2 votes
- 2 stars: 1 votes
- 3 stars: 4 votes
- 4 stars: 4 votes
- 5 stars: 5 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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