A question I’m asked almost daily now is, “what are the best resources for getting started with data science, machine learning, and AI, especially for marketers?”

This list will be updated from time to time as new resources become available, but the basics should remain relatively stable.

What Order to Learn In

We recommend the following path:

  • Statistics fundamentals
  • Ethics
  • Data science
  • Machine learning & AI

Statistics

The fundamental underpinning of data science is statistics, so we strongly encourage you to read and become proficient with statistics. Read this book:

Ethics

We also strongly recommend anyone interested in data science, machine learning, and artificial intelligence to be well versed in professional ethics. Read this book:

Data Science

For learning practical data science techniques, we recommend the R statistical language and this book:

Prefer podcasts? Check out:

For those preferring a course, look to MIT’s data science course (free!):

Machine Learning and AI

Machine learning is the science of training machines to write their own software based on data provided to them.

For a much more technical, mathematical look, check out this book on Amazon:

A keynote address on YouTube I gave that gives a solid overview:

Prefer podcasts? Check out:

For those preferring a course, Google has an excellent free course:

Other Resources

Be sure to check out the following useful blogs:


Get unique data, analysis, and perspectives on analytics, insights, machine learning, marketing, and AI in the weekly Trust Insights newsletter, Data in the Headlights. Subscribe now for free; new issues every Wednesday!

Click here to subscribe now »

Want to learn more about data, analytics, and insights? Subscribe to In-Ear Insights, the Trust Insights podcast, with new 10-minute or less episodes every week.

Pin It on Pinterest

Share This