As a first step in learning about data science, it would be useful to consider these ten basic questions as reference:

  1. What is intelligence ?
  2. What is learning ?
  3. How do humans learn ?
  4. Is a chess computer intelligent ?
  5. What motivates a computer ?
  6. What do we mean by data analysis ?
  7. What is inference ?
  8. How can we judge whether a statistical or machine learning method or algorithm is good ?
  9. What are some of the properties of big data that are challenging for analysis ?
  10. What do machine learning and statistical inference have in common ? How do they differ?

Keep these questions in mind as you spend time in learning and extending your skills in data analysis.