Machine learning is one of the most exciting and dynamic fields in the world of data science. Everything from self-driving cars, to smartphones and search engines are built on this powerful set of tools for generating useful predictions from data.
Much of data science comes from the world of probability and statistics, which together provide a set of tools for understanding how data is generated, how to model it effectively, and how to make inferences and predictions based on those models.
The first step of any analysis involves loading your data into the proper environment—Python, R, SQL, or elsewhere—then reshaping it and/or addressing issues such as missing or extreme values. Master the fundamentals by learning the basics of importing and cleaning data.