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"Learning Analytics" for L&D Professionals

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

4.4

(1706)

4863 enrolled on this course

Last updated 11/2021

Dr. Nilakantasrinivasan J, Canopus Business Management Group

₹ 2299.0

₹ 3799.0

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Lessons

Quizzes

Duration

13 Hours

Skill level

Beginner

Language

English

Certificate

Yes

Full lifetime access

Yes

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:
Adoption Rate for L&D Interventions
Reaction & Feedback Analytics
Verbatim Analytics using NLP
Skills Evaluation using Analytics
Behavioral Analytics
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

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

You will need a copy of Adobe XD 2019 or above. A free trial can be downloaded from Adobe.
No previous design experience is needed.
No previous Adobe XD skills are needed.

Course Content

27 sections • 95 lectures

Expand All Sections

1-Introduction

1.1-Introduction

1.2-Types of L&D Analytics

1.3-Analytics Mindset for L&D Professionals

1.4-Software Tools for L&D Analytics

1.5-Orange Walk-through

2-Case 1 : Adoption Rate for L&D Interventions

2.1-Case 1 Background : Learning Adoption

2.2-Creating a report for L&D Analytics Problem

2.3-Case 1 Assignment

2.4-Case 1 Solution : Analytics in EXCEL

2.5-Sources of Variation - I

2.6-Sources of Variation - II

2.7-Creating & Interpreting Boxplots

2.8-Case 1 Solution : Analytics Solution in Orange Part 1

2.9-Case 1 Solution : Analytics Solution in Orange Part 2

2.10-Case 1 Solution : Analytics Solution in Orange Part 3

3-Case 2 Reaction & Feedback Analytics - Kirk Patrick Level 1

3.1-Case 2 Background : Reaction & Feedback Analytics

3.2-Introduction to Diagnostic Analytics & A/B Testing

3.3-Risks in A/B Testing

3.4-Chi-Square Test - Theory & Interpretations of Results

3.5-Case 2 Solution : Reaction & Feedback Analytics

4-Case 3 : Participant Verbatim Analytics using NLP

4.1-Case 3 Background : Participant Verbatim Analytics

4.2-NLP Basics

4.3-Case 3 Solution : Performing NLP in Orange Part 1

4.4-Case 3 Solution : Performing NLP in Orange Part 2

5-Case 4 Behavioral Analytics - Kirk Patrick Level 3

5.1-Case 4 Background : Behavioral Analytics

5.2-Case 4 Assignment : Behavioral Analytics

5.3-Case 4 Solution : Behavioral Analytics in Orange

6-Case 5 : Skills Evaluation using Analytics - Kirk Patrick Level 2

6.1-How to Select Correct Hypothesis Tests

6.2-Case 5 Background & Solution : Knowledge Evaluation Analytics

7-Case 6 : Business Results Evaluation thro Experiments - Kirk Patrick Level 4

7.1-Case 6 Background : Business Results Evaluation after L&D Intervention

7.2-Case 6 Solution : Experiment Set-up

7.3-Case 6 Solution : Analytics in Orange

8-HR Analytics - Overview Section (Optional)

8.1-HR Analytics Case Studies

8.2-Relevance of Analytics in HR

8.3-History of HR Analytics

8.4-Foundational Concepts in HR Analytics

8.5-Maturity Model for HR Analytics

9-Wrapping up

9.1-Advanced Analytics - What to learn more

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