"Learning Analytics" for L&D Professionals
"Learning Analytics" for L&D Professionals, available at $44.99, has an average rating of 4.49, with 36 lectures, based on 878 reviews, and has 2635 subscribers.
You will learn about 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 This course is ideal for individuals who are Learning & Development Professionals (L&D) including Directors, Head, Managers and Executive or Organizational Development (OD) Head or HR Head or Training Managers It is particularly useful for Learning & Development Professionals (L&D) including Directors, Head, Managers and Executive or Organizational Development (OD) Head or HR Head or Training Managers.
Enroll now: "Learning Analytics" for L&D Professionals
Summary
Title: "Learning Analytics" for L&D Professionals
Price: $44.99
Average Rating: 4.49
Number of Lectures: 36
Number of Published Lectures: 36
Number of Curriculum Items: 38
Number of Published Curriculum Objects: 38
Original Price: $139.99
Quality Status: approved
Status: Live
What You Will 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
Who Should Attend
- Learning & Development Professionals (L&D) including Directors, Head, Managers and Executive
- Organizational Development (OD) Head
- HR Head
- Training Managers
Target Audiences
- Learning & Development Professionals (L&D) including Directors, Head, Managers and Executive
- Organizational Development (OD) Head
- HR Head
- Training Managers
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:
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6 Exclusive L&D Case Studies with solutions
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You will get hands-on practice in Open Source Data Mining Tool (Orange)
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Course scenarios included Kirk Patrick All Levels which will be analyzed using Data… No more subjective calls
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Sentiment Analytics on Qualitative Participant Feedback using Natural Language Processing (NLP)
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2 Assignment with Key
Following the case studies included in the course with solutions:
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Adoption Rate for L&D Interventions
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Reaction & Feedback Analytics
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Verbatim Analytics using NLP
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Skills Evaluation using Analytics
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Behavioral Analytics
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Results Evaluation thro Experiments
Analytics Concepts covered with L&D Examples :
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Descriptive Statistics – Central Tendency, Dispersion, Distortion – Skewness & Kurtosis,
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Histogram, Boxplots, Scatter Diagrams
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Diagnostic Analytics – Alpha and Beta Risks, Chi-square, 2t Test, Paired t Test
Course Curriculum
Chapter 1: Introduction
Lecture 1: Introduction
Lecture 2: Types of L&D Analytics
Lecture 3: Analytics Mindset for L&D Professionals
Lecture 4: Software Tools for L&D Analytics
Lecture 5: Orange Walk-through
Chapter 2: Case 1 : Adoption Rate for L&D Interventions
Lecture 1: Case 1 Background : Learning Adoption
Lecture 2: Creating a report for L&D Analytics Problem
Lecture 3: Case 1 Solution : Analytics in EXCEL
Lecture 4: Sources of Variation – I
Lecture 5: Sources of Variation – II
Lecture 6: Creating & Interpreting Boxplots
Lecture 7: Case 1 Solution : Analytics Solution in Orange Part 1
Lecture 8: Case 1 Solution : Analytics Solution in Orange Part 2
Lecture 9: Case 1 Solution : Analytics Solution in Orange Part 3
Chapter 3: Case 2 Reaction & Feedback Analytics – Kirk Patrick Level 1
Lecture 1: Case 2 Background : Reaction & Feedback Analytics
Lecture 2: Introduction to Diagnostic Analytics & A/B Testing
Lecture 3: Risks in A/B Testing
Lecture 4: Chi-Square Test – Theory & Interpretations of Results
Lecture 5: Case 2 Solution : Reaction & Feedback Analytics
Chapter 4: Case 3 : Participant Verbatim Analytics using NLP
Lecture 1: Case 3 Background : Participant Verbatim Analytics
Lecture 2: NLP Basics
Lecture 3: Case 3 Solution : Performing NLP in Orange Part 1
Lecture 4: Case 3 Solution : Performing NLP in Orange Part 2
Chapter 5: Case 4 Behavioral Analytics – Kirk Patrick Level 3
Lecture 1: Case 4 Background : Behavioral Analytics
Lecture 2: Case 4 Solution : Behavioral Analytics in Orange
Chapter 6: Case 5 : Skills Evaluation using Analytics – Kirk Patrick Level 2
Lecture 1: How to Select Correct Hypothesis Tests
Lecture 2: Case 5 Background & Solution : Knowledge Evaluation Analytics
Chapter 7: Case 6 : Business Results Evaluation thro Experiments – Kirk Patrick Level 4
Lecture 1: Case 6 Background : Business Results Evaluation after L&D Intervention
Lecture 2: Case 6 Solution : Experiment Set-up
Lecture 3: Case 6 Solution : Analytics in Orange
Chapter 8: HR Analytics – Overview Section (Optional)
Lecture 1: HR Analytics Case Studies
Lecture 2: Relevance of Analytics in HR
Lecture 3: History of HR Analytics
Lecture 4: Foundational Concepts in HR Analytics
Lecture 5: Maturity Model for HR Analytics
Chapter 9: Wrapping up
Lecture 1: Advanced Analytics – What to learn more
Instructors
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Nilakantasrinivasan Janakiraman
Customer Experience & Business Transformation Leader
Rating Distribution
- 1 stars: 3 votes
- 2 stars: 15 votes
- 3 stars: 89 votes
- 4 stars: 292 votes
- 5 stars: 479 votes
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