Last updated 1/2021
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.03 GB | Duration: 4h 57m
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
Homepage
https://www.udemy.com/course/learning-analytics-for-l-and-d-professionals/
Download from Fikper
https://fikper.com/mz8Nitfg7y/gjhni.Learning.Analytics.For.LD.Professionals.part1.rar.html
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https://fikper.com/yOy5gYqYpw/gjhni.Learning.Analytics.For.LD.Professionals.part3.rar.html
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