Learning Analytics For L And D Professionals

6 Exclusive L&D Case Studies + Open Source Data Mining Tool + Kirk Patrick All Levels Incl + 2 Assignment + NLP

Last updated 2022-01-10 | 4.5

- 6 Exclusive L&D Analytics Case Studies with solutions
- Hands-on practice in Open Source Data Mining Tool (Orange)
- Sentiment Analytics on Qualitative Participant Feedback using Natural Language Processing (NLP)

What you'll learn

6 Exclusive L&D Analytics Case Studies with solutions
Hands-on practice in Open Source Data Mining Tool (Orange)
Sentiment Analytics on Qualitative Participant Feedback using Natural Language Processing (NLP)
Employee Feedback Analysis
Setting experiments and measuring outcomes for Kirk Patrick Level 4
Skills & Behaviors Asssessment - Pre/Post using Statistical Hypothesis Testing - Chi-square
2t
Paired t
Data visualization for Learning Adoption Improvement using Histograms
Boxplots
Descriptive Statistics

* Requirements

* No Prior Experience in Analytics is needed

Description

As a L&D Professional, you must have organized several workshops on Analytics for other employees in the organization. Have you ever attended any skill-upgrade workshop on "Learning Analytics" that is exclusively meant for L&D Professionals?

This course is designed exclusive for L&D Professionals:

  • 6 Exclusive L&D Case Studies with solutions

  • You will get hands-on practice in Open Source Data Mining Tool (Orange)

  • Course scenarios included Kirk Patrick All Levels which will be analyzed using Data... No more subjective calls

  • Sentiment Analytics on Qualitative Participant Feedback using Natural Language Processing (NLP)

  • 2 Assignment with Key

Following the case studies included in the course with solutions:

  1. Adoption Rate for L&D Interventions

  2. Reaction & Feedback Analytics

  3. Verbatim Analytics using NLP

  4. Skills Evaluation using Analytics

  5. Behavioral Analytics

  6. Results Evaluation thro Experiments


Analytics Concepts covered with L&D Examples :

  • Descriptive Statistics - Central Tendency, Dispersion, Distortion - Skewness & Kurtosis,

  • Histogram, Boxplots, Scatter Diagrams

  • Diagnostic Analytics - Alpha and Beta Risks, Chi-square, 2t Test, Paired t Test


Who this course is for:

  • Learning & Development Professionals (L&D) including Directors, Head, Managers and Executive
  • Organizational Development (OD) Head
  • HR Head
  • Training Managers

Course content

9 sections • 38 lectures

Introduction Preview 08:20

Intro to Learning Analytics

Types of L&D Analytics Preview 06:19

Learn the types of Learning Analytics

Analytics Mindset for L&D Professionals Preview 07:25

Understand the analytics mindset for L&D professionals

Software Tools for L&D Analytics Preview 02:55

Learn the software tools for L&D analytics

Orange Walk-through Preview 04:19

A walk through lecture on Orange in L&D analytics

Case 1 Background : Learning Adoption Preview 05:30

Case study 1: Learning Adoption for L&D analytics

Creating a report for L&D Analytics Problem Preview 06:15

Learn to create a report for L&D analytics problem

Case 1 Assignment

This assignment is based on Case 1 background discussed in previous lectures. Prepare a management report using analytics built in XL on the current adoption rate of data set provided. The objective is to identify insights on why adoption is low. Are there certain factors influencing it?

Case 1 Solution : Analytics in EXCEL Preview 10:11

Case study solution

Sources of Variation - I Preview 09:01

Learn the sources of variation in L&D analytics

Sources of Variation - II Preview 08:08

Learn the sources of variation in L&D analytics

Creating & Interpreting Boxplots Preview 10:30

Learn to create and interpret box plots in L&D analytics

Case 1 Solution : Analytics Solution in Orange Part 1 Preview 07:50

Analytics solution in Orange

Case 1 Solution : Analytics Solution in Orange Part 2 Preview 12:17

Analytics solution in Orange

Case 1 Solution : Analytics Solution in Orange Part 3 Preview 08:13

Analytics solution in Orange

Case 2 Background : Reaction & Feedback Analytics Preview 06:32

Introduction to Diagnostic Analytics & A/B Testing Preview 08:09

Risks in A/B Testing Preview 06:37

Chi-Square Test - Theory & Interpretations of Results Preview 09:46

Case 2 Solution : Reaction & Feedback Analytics Preview 21:01

Case 3 Background : Participant Verbatim Analytics Preview 04:31

NLP Basics Preview 06:13

Case 3 Solution : Performing NLP in Orange Part 1 Preview 11:31

Case 3 Solution : Performing NLP in Orange Part 2 Preview 12:07

Case 4 Background : Behavioral Analytics Preview 05:06

Case 4 Assignment : Behavioral Analytics

Case 4 Assignment : Behavioral Analytics. You will perform Chi-square test to evaluate which behavioral attributes have improved after L&D Intervention

Case 4 Solution : Behavioral Analytics in Orange Preview 06:56

How to Select Correct Hypothesis Tests Preview 05:36

Case 5 Background & Solution : Knowledge Evaluation Analytics Preview 11:38

Case 6 Background : Business Results Evaluation after L&D Intervention Preview 02:54

Case 6 Solution : Experiment Set-up Preview 17:03

Case 6 Solution : Analytics in Orange Preview 10:55

HR Analytics Case Studies Preview 07:06

Relevance of Analytics in HR Preview 06:49

History of HR Analytics Preview 10:16

Foundational Concepts in HR Analytics Preview 09:10

Maturity Model for HR Analytics Preview 06:58

Advanced Analytics - What to learn more Preview 02:46