HR Analytics - Workforce Management using R
2.9 (8 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
41 students enrolled

HR Analytics - Workforce Management using R

Using erlang c formula to find out if and how many more agents does the bank need to maintain a good grade of service
2.9 (8 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
41 students enrolled
Created by Unlock HR
Last updated 4/2020
English
English [Auto-generated]
Current price: $128.99 Original price: $184.99 Discount: 30% off
5 hours left at this price!
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This course includes
  • 3.5 hours on-demand video
  • 2 articles
  • 1 downloadable resource
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
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What you'll 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.
Requirements
  • Anyone can take this course
Description

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 data and relate with employee demographics.

Learn about Erlang C and it's applications in Rstudio to 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 prepare and explore the data for meaningful insights.

Applying feature engineering techniques to get in-depth knowledge hidden inside the data.





Who this course is for:
  • HR proffesionals
  • Data Science Enthusisasts
Course content
Expand all 16 lectures 03:32:01
+ Anatomy of Statistical Model
1 lecture 07:44
Anatomy of Statistical Model
07:44
+ Data Verification
3 lectures 15:18
CODE
00:00
Introduction to the Data
05:20
Data Verification
09:58
+ Data Preparation
4 lectures 01:28:05
Feature Engineering
24:46
Univariate - part 2
15:52
Bivariate Analysis
21:51
+ Workforce Analytics
3 lectures 01:15:03
Erlang Theory
07:41
Data Preparation for Erlang
29:02
Erlang hands on
38:20
+ Bonus
2 lectures 05:20
Automated Workforce Management solution
05:20
BONUS CODE
00:00