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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 ?