Learning Analytics Courses and Certifications

"Learning Analytics" for L&D Professionals (Accredited)

1979 ratings at Udemy

13 CPDs +6 Exclusive L&D Case Studies + Open Source Data Mining Tool + Kirk Patrick All Levels Incl + 2 Assignment + NLP

• Udemy
• 4 hours 58 minutes
• Self-Paced
• Paid Course

Learning Analytics Tools

Explore learning analytics for educational data, from collection and visualization to machine learning, process mining, text analysis, and multimodal learner data.

• Swayam
• 12 weeks
• Available until Oct 9, 2026
• Free Online Course

NITTTR

Learning Analytics and Data Visualization for Effective Digital Pedagogy

Turn classroom data into charts, dashboards and heat maps with Google Sheets, Canva, Datawrapper, Flourish, Tableau Public and Power BI to guide evidence-based teaching.

• Swayam
• Self-Paced
• Free Online Course

AI-Driven Learning Analytics for Workforce

Build an AI talent strategy plan: apply generative AI to skills assessment, personalized learning paths, sentiment analysis, retention risk, and bias-aware evaluation metrics.

• Coursera
• 9 weeks, 1 hour a week
• Self-Paced
• Paid Course

Analytics for the Classroom Teacher

This course is ideal for school teachers who want to improve their teaching through valuable data-driven insights.

• edX
• 6 weeks, 3-4 hours a week
• Self-Paced
• Free Certificate

NITTTR

Data Analytics

Use educational data analytics to model learner behavior, visualize interaction patterns, and personalize learning recommendations.

• Swayam
• 8 weeks
• Available until Oct 31, 2026
• Free Online Course

Machine Learning for Marketing Analytics in R

71 ratings at DataCamp

This is your chance to dive into the worlds of marketing and business analytics using R.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

This course introduces you to data science concepts, data exploration, and preparation in Python to prepare you to participate in machine learning competitions on Analytics Vidhya.

• DataCamp
• Self-Paced
• Free Trial Available

Khan Academy

Data Informed Instruction for New Hampshire Summer Learning - Session 4

Explore data-driven instruction strategies, Khanmigo integration, and administrator tools to enhance student learning and teacher effectiveness in New Hampshire schools.

• YouTube
• 55 minutes
• Self-Paced
• Free Video

Smart Analytics, Machine Learning, and AI on Google Cloud

1252 ratings at Coursera

Add machine learning to data pipelines on Google Cloud: use prebuilt ML APIs on unstructured data, Notebooks, BigQuery ML, and Vertex AI AutoML for production models.

• Coursera
• 8 weeks, 1 hour a week
• Self-Paced
• Paid Course

Introduction to Machine Learning in Sports Analytics

28 ratings at Coursera

Apply supervised learning methods — SVMs, decision trees, random forests, ensembles — with Python's scikit-learn to predict athletic outcomes from NHL, MLB, and wearable device data.

• Coursera
• 4 weeks, 3 hours a week
• Self-Paced
• Paid Course

Fundamentos de analítica de datos educativos

18 ratings at Coursera

Fundamentos prácticos para analizar datos educativos y convertirlos en intervenciones académicas eficaces, con visualización y una perspectiva ética.

• Coursera
• 4 weeks, 2 hours a week
• Self-Paced
• Paid Course

Machine Learning Algorithms with Python in Business Analytics

43 ratings at Coursera

Find patterns in business data: run and interpret regression, K-nearest neighbors, decision tree, K-means and DBSCAN models in Python with scikit-learn.

• Coursera
• 4 weeks, 4 hours a week
• Self-Paced
• Paid Course

Machine Learning Algorithms with Python in Business Analytics

43 ratings at Coursera

Run and interpret regression, K-nearest neighbors, decision tree, K-means and DBSCAN models in Python with scikit-learn to find actionable insight in business data.

• Coursera
• 4 weeks, 4 hours a week
• Self-Paced
• Paid Course

Career Certificate

Digital Learning Design & Instructional Tech Foundations

3052 ratings at Coursera

Design digital learning end to end: diagnose performance problems, select learning technologies grounded in cognitive theory, explore e-learning ecologies, and measure results with analytics and AI-driven assessment.

• Coursera
• 8 weeks, 10 hours a week
• Self-Paced
• Paid Course
• 5 courses