Best Data Science Programs

 – Best Data Science Programs –

These are the best data science courses available for 2022. Earn a certificate or simply audit many for Free. Included is a learning guide and syllabus to help you learn data science this year.

Best Data Science Programs

Students are taught to analyze, manage, and interpret massive amounts of data with a diverse array of applications at over 60 top Data Science colleges in the United States.

Data Science is an interdisciplinary field built on the foundations of mathematics, computer science, and statistics.

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Top Data Science Programs

Below is our first-ever ranking of data science graduate programs:

Data Science Specialization

This course series is one of the most enrolled and highly rated course collections on this list. JHU did an incredible job with the balance of breadth and depth in the curriculum.

One thing that’s included in this series that’s usually missing from many data science courses is a complete section on statistics, which is the backbone of data science.

Overall, the Data Science specialization is an ideal mix of theory and application using the R programming language.

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As far as prerequisites go, you should have some programming experience (doesn’t have to be R) and you have a good understanding of Algebra.

Previous knowledge of Linear Algebra and/or Calculus isn’t necessary, but it is helpful.

Introduction to Data Science

An extremely highly rated course 4.9/5 on SwichUp and 4.8/5 on CourseReport  which is taught live by a data scientist from a top company.

This is a six-week-long data science course that covers everything in the entire data science process, and it’s the only live online course on this list.

Furthermore, not only will you get a certificate upon completion, but since this course is also accredited, you’ll also receive continuing education units.

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Two nights per week, you’ll join the instructor with other students to learn data science as if it was an online college course.

Not only are you able to ask questions, but the instructor also spends extra time for office hours to further help those students that might be struggling.

Applied Data Science with Python Specialization

The University of Michigan, which also launched an online data science Master’s degree, produce this fantastic specialization focused on the applied side of data science.

This means you’ll get a strong introduction to commonly used data science Python libraries, like matplotlib, pandas, nltk, scikit-learn, and networkx, and learn how to use them on real data.

This series doesn’t include the statistics needed for data science or the derivations of various machine learning algorithms but does provide a comprehensive breakdown of how to use and evaluate those algorithms in Python.

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Because of this, I think this would be more appropriate for someone that already knows R and/or is learning the statistical concepts elsewhere.

If you’re rusty with statistics, consider the Statistics with Python Specialization first. You’ll learn many of the most important statistical skills needed for data science.

Data Science MicroMasters

MicroMasters from edX are advanced, graduate-level courses that count towards a real Master’s at select institutions.

In the case of this MicroMaster’s, completing the courses and receiving a certificate will count as 30% of the full Master of Science in Data Science degree from Rochester Institute of Technology (RIT).

Since these courses are geared towards prospective Master’s students, the prerequisites are higher than many of the other courses on this list.

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Since the first course in this series doesn’t spend any time teaching basic Python concepts, you should already be comfortable with programming.

Spending some time going through a platform like Codecademy would probably get you up to speed for the first course.

Overall, I found this MicroMaster’s to be a perfect mix of theory and application. The lectures are comprehensive in scope and balanced superbly with real-world applications.

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Dataquest is a fantastic resource on its own, but it also serves as an excellent supplement to your online learning if you take other courses on this list.

Dataquest foregoes video lessons in favor of an interactive textbook of sorts.

Every topic in the data science track is accompanied by several in-browser, interactive coding steps that walk you through how to apply the specific topic you’re learning.

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Dataquest differs from the other interactive platforms in that the curriculum is well-organized, you learn by working on full-fledged data science projects, and there is a very active and helpful Slack community where you can ask questions.

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