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
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.
Why take this course?
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.
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