Predictive Modelling in HR Analytics
This is a power-packed Module to enable understanding of how best to leverage analytics to become effective decision makers and generate better results for their organizations. This course illustrates the importance of the application of analytics in HR and transforms the way people work!
The course structure aims at reaching all those who have very basic or no knowledge in the field of analytics. Upon the completion of this course, you will be able to talk in numbers about the problems at hand.
Module - Course Content
Section : Introduction
What is analytics?
Application of Analytics in HR
Analytics in the Employee life cycle
Section : Analytics Capabilities
Introduction to Big Data
Analytics Value Escalator
Data types in a Structured dataset
Section : Introduction to Artificial Intelligence
What is Artificial Intelligence?
Machine Learning and its Applications
Section : Introduction to Dashboarding
Way to Dashboarding
Sample metrics for Dashboarding
Sample issue use case: Attrition Analysis
Section : Setup for Dashboarding using Tableau Public
Installation of Tableau Public
Download the dataset here
Section : Dashboarding using Tableau Public in action hr
Loading the dataset into Tableau Public
Building a Geo Map
Saving the Tableau Project
Stacked bar chart using hierarchies
Creating a Bubble plot
Creating a Pie Chart
Creating an Area chart
Creating a Treemap
Creating a side-by-side circle chart
Building the Dashboard – Part 1
Building the Dashboard – Part 2
Interactions between the two Dashboards
Section : Introduction to Predictive Modeling
Way to Predictive Modeling
What do we mean by a model?
Sample issue use case: Candidate success profile
Translating Business model to Statistical Model
Section : Setup for Predictive Modeling using Microsoft Azure
Creating an account on Microsoft Azure
Loading the dataset into MS Azure
Section : Building a Predictive Model to predict Monthly Income: Microsoft Azure
Data Preparation using MS Azure: Edit Metadata
Data Preparation using MS Azure: Outlier treatment
Data Preparation using MS Azure: Missing Values and Feature selection
Linear Regression : Intuition
Linear Regression using MS Azure
Linear Regression using MS Azure – Part
How to Predict for new observation?
Decision Tree : Intuition
Decision tree using MS Azure
Neural Network : Intuition
Neural Network using MS Azure
Section : Predictive Modelling to detere Candidate Success Profile
Classification using Decision Tree : MS Azure
Classification using Neural Network: MS Azure
Logistic Regression : Intuition
Classification using Logistic Regression : MS Azure
Section : Unsupervised Learning using MS Azure
Clustering using K-means Algorithm: Intuition
Clustering using MS Azure – Part 1
Clustering using MS Azure – Part 2
What We Offer
Knowasap Unique Features are as follows:
Course Completion Certificate
Every Candidate is awarded with course completion certificate dully signed by course director, Which is “Globally” accepted and shared.
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