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.

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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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