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Learning from Data MOOC


The California Institute of Technology (Caltech) offers an introductory course on fundamental aspects of machine learning (ML), encompassing basic theory, algorithms, and their practical applications. Machine Learning is a crucial technology within the realm of Big Data, exerting significant influence across various sectors such as finance, medicine, commerce, and scientific research. Its transformative capacity allows computational systems to dynamically enhance their performance through experiential learning gleaned from observed data. This course finds a good balance between theory (the ideas behind things) and practical use (how you apply those ideas in the real world). Covering both the mathematical part and the practical side, the lectures ensure a well-rounded understanding.

The course addresses the following fundamental questions:

  • What constitutes learning?
  • Can machines truly learn?
  • Strategies for effective implementation
  • Best practices for optimal performance
  • Key takeaways for practical application

Training Offer Details

Target audience
Digital skills for the labour force.
Digital skills in education.
Digital skills for all
Digital technology / specialisation
Geographic scope - Country
Industry - field of education and training
Generic programmes and qualifications not further defined
Target language
Geographical sphere
International initiative
Typology of training opportunties
Learning activity
self-motivated study
Assessment type
Training duration
Is this course free
Is the certificate / credential free
Part time light
Self-paced course