​General Resources

• Twitter can be a great resource for learning about data science or programming with R. Just to name a few people:

  • Mara Averick (@dataandme)

  • Hadley Wickham (@hadleywickham)

  • Jenny Bryan (@jennyBryan)

  • Emily Robinson (@robinson_es)

  • David Robinson (@drob)

  • Frank Harrell (@f2harrell)

  • Amy Heineike (@aheineike)

  • Carla Gentry (@data_nerd)

  • Eric Xu (@mathena)

  • Wes McKinney (@wesmckinn)

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• R bloggers is another fantastic R resource!

• Cheet Sheet for general principles in Data Visualizations 

• Stanford University has a course on introduction to Statistical Learning (with accompanying free e-book)

• Frank Harrell, a prominent statistician, has his own blog: http://www.fharrell.com/

• Probabilistic Models of Cognition by Noah Goodman, Joshua Tenenbaum & the ProbMods Contributors have written a book that explores the probabilistic approach to cognitive science

• AI Technology is poised to transform every industry. Read it all in the AI Transformation Playbook by Andrew Ng

• AI implemented for Emergency Department forecasting at St. Michael's by Selma Al-Samrrai

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Resources for hiring a data scientist

We've posted a blog article about hiring data scientists and have provided some documents you might find useful!

• Data Scientist job description (sample)

• Technical test for LKS-CHART candidates (sample)

• LKS-CHART Interview Guide (sample)

• Jung Personality Test 

• Jung Personality Test Interpretation Guide

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