Are you interested in becoming a Data Scientist, but don’t know where to start?
The first two steps are to have a solid understanding of the principles of statistics, and knowledge of a programming language to implement them (often Python).
Galvanize’s Intro to Stats meet-up covers areas of probability and statistics necessary for anyone interested in becoming a Data Scientist. Main topics covered:
Main topics covered:
Day 1: Probability, Probability distributions, Bayesian and frequentist paradigms
Day 2: Random variables, Statistical inference, Regression, Classification, Evaluation metrics
Day one begins with a gentle introduction to probability and the major distributions used in statistics and finishes with a concept-driven explanation of frequentist and Bayesian statistics.
On the second day we dive further into how to make use of probability distributions for inference and hypothesis testing. We then introduce regression and classification through the use of examples. Finally, we discuss some of the commonly use methods of evaluating model results.
Although Python is used to illustrate concepts, no working knowledge of Python or any other language is required for this meet-up.
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