Fundamentals of Data Science

This is the comprehensive course critical to understanding and applying data science.  There are many great courses out there, but I’ve never found one that focuses (as well as I’d like) on the science of data science.

I put everything I think you need to know in one place. Conceptual, but detailed.  No significant math required.

Once you have the fundamentals, you can dig deeper with other specific training offered by other providers, but take the time to gain a solid foundation, and you’ll do well in the field.

Topics that are described in depth in this course include:

  • Introduction to Data Science
  • Probability and Statistics
  • Decision Theory
  • Estimation Theory
  • Coordinate Systems & Linear Transformations
  • Prototype Coding and Programming
  • Algorithms
  • Machine Learning and Artificial Intelligence

To access the course, go here.

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