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"Learning Analytics" for L&D Professionals


"Learning Analytics" for L&D Professionals


"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


  • No Prior Experience in Analytics is needed


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

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