"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

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 solutionsYou 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 callsSentiment 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 InterventionsReaction & Feedback AnalyticsVerbatim Analytics using NLPSkills Evaluation using AnalyticsBehavioral AnalyticsResults Evaluation thro ExperimentsAnalytics Concepts covered with L&D Examples :Descriptive Statistics - Central Tendency, Dispersion, Distortion - Skewness & Kurtosis, Histogram, Boxplots, Scatter DiagramsDiagnostic Analytics - Alpha and Beta Risks, Chi-square, 2t Test, Paired t Test

Overview

Section 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

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

Lecture 6 Case 1 Background : Learning Adoption

Lecture 7 Creating a report for L&D Analytics Problem

Lecture 8 Case 1 Solution : Analytics in EXCEL

Lecture 9 Sources of Variation - I

Lecture 10 Sources of Variation - II

Lecture 11 Creating & Interpreting Boxplots

Lecture 12 Case 1 Solution : Analytics Solution in Orange Part 1

Lecture 13 Case 1 Solution : Analytics Solution in Orange Part 2

Lecture 14 Case 1 Solution : Analytics Solution in Orange Part 3

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

Lecture 15 Case 2 Background : Reaction & Feedback Analytics

Lecture 16 Introduction to Diagnostic Analytics & A/B Testing

Lecture 17 Risks in A/B Testing

Lecture 18 Chi-Square Test - Theory & Interpretations of Results

Lecture 19 Case 2 Solution : Reaction & Feedback Analytics

Section 4: Case 3 : Participant Verbatim Analytics using NLP

Lecture 20 Case 3 Background : Participant Verbatim Analytics

Lecture 21 NLP Basics

Lecture 22 Case 3 Solution : Performing NLP in Orange Part 1

Lecture 23 Case 3 Solution : Performing NLP in Orange Part 2

Section 5: Case 4 Behavioral Analytics - Kirk Patrick Level 3

Lecture 24 Case 4 Background : Behavioral Analytics

Lecture 25 Case 4 Solution : Behavioral Analytics in Orange

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

Lecture 26 How to Select Correct Hypothesis Tests

Lecture 27 Case 5 Background & Solution : Knowledge Evaluation Analytics

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

Lecture 28 Case 6 Background : Business Results Evaluation after L&D Intervention

Lecture 29 Case 6 Solution : Experiment Set-up

Lecture 30 Case 6 Solution : Analytics in Orange

Section 8: HR Analytics - Overview Section (Optional)

Lecture 31 HR Analytics Case Studies

Lecture 32 Relevance of Analytics in HR

Lecture 33 History of HR Analytics

Lecture 34 Foundational Concepts in HR Analytics

Lecture 35 Maturity Model for HR Analytics

Section 9: Wrapping up

Lecture 36 Advanced Analytics - What to learn more

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