"Learning Analytics" for L&D Professionals

 

"Learning Analytics" for L&D Professionals

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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

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

Link : Business Analytics Career - The Analytics Translator An analytics business translator career starts with bridging data science, enterprise IT, and the business domain.

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

Link :  Machine Learning, Business analytics with R Programming & Py Machine learning, data science & business analytics with R & Python. Build models with rstudio, jupyter notebook & keras | Udemy course