Hello everyone! I’m back with the getting started for data science series :). Now with a really important topic: Statistics.

We’ve been talking about the importance for several areas of knowledge for Data Science, but I think one of the pillars of the area are the Statistical Sciences.

Why Statistics?

  •  It is, with Calculus and Algebra, the core of every Machine and Deep Learning we use for Data Science.
  • We need to evaluate and validate our models, make predictions, calculate probabilities and infer possible scenarios, and all of that is possible through Statistics.
  • The art of plotting statistical distributions, trends, time series, and make stunning visualizations for the business meetings you’ll have to explain your results needs a good statistical base.

There are more reasons but let’s see how you can get started with this great topic:

1. Coursera: httpss://lnkd.in/gdAZUhQ httpss://lnkd.in/gmEsH3a

2. DataCamp: httpss://lnkd.in/gNYHAZh httpss://lnkd.in/g3PY3Gd httpss://lnkd.in/gCu48E9

3. Stanford: httpss://lnkd.in/g2qvU2r httpss://lnkd.in/gKyAqaK

4. edX: httpss://lnkd.in/grDgukz httpss://lnkd.in/gKfRRKN

5. Free Books: httpss://lnkd.in/ge2MwqX httpss://lnkd.in/gyYeeSk httpss://lnkd.in/gDwbnGt

Have fun 😉