With all of the recent news about the data science explosion, many grad students are now looking for the best way to study the field.
We asked a few of our colleagues to share their top data science classes, and we’re updating this article with their recommendations.
In this post, we’re sharing the best classes from their syllabi.
If you’re looking to jump in, we also provide links to the syllabi of courses they’re offering.
In general, you’ll find the data scientists we cover in these courses in the links below, and there are several more resources that offer a similar perspective.
The best data scientists to learn from You can find the classes in the following categories: Data Science – Data Science courses that cover the basics.
Some courses cover more advanced topics.
Data Science & Analytics – Courses that cover data science concepts.
Courses with more technical content, like the data sciences, machine learning, and AI.
Data Mining & Data Visualization – Cours that cover advanced topics in data science.
Cours with a strong emphasis on data science topics, including the use of data to analyze complex data sets.
Data & Data Science: An Introduction – Courts that cover some data science related topics, such as how to use statistical models, how to visualize data, and how to apply those techniques to problems.
The Data Science Stack – A list of data science resources.
These courses are intended to cover the most common data science skills, so there’s no need to read them to get a feel for the field or get into some deep learning theory.