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Basic concepts, descriptive statistics, inferential statistics such as hypothesis testing. This is the academic side of data science, essentially.

Machine Learning/AI

The core aspects of data science such as classical machine learning and deep learning are explored in this section of the website.

Data Visualization

This section explores communicating data with graphs and the like as well as guides to tools such as tableau and Power BI.


Linear algebra and calculus forms the backbone of many statistical and machine learning techniques. This is necessary to learn to have a more full understanding of data science.


Data structures, basic concepts, etc.

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