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Best Data Science Courses online

Learn data science with the best data science tutorials and online courses.

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Data Science

Popular course

Data Science from Johns Hopkins University. Ask the right questions, manipulate data sets, and create visualizations to communicate results. This Specialization covers the concepts and tools you'll need throughout the entire data science

(*)★★ (*)★★ (*)★★ (*)★★ (*)★★ 4.5
37.6K reviews

308 h

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The Data Science Course: Complete Data Science Bootcamp

Popular course

Complete Data Science Training: Mathematics, Statistics, Python, Advanced Statistics in Python, Machine & Deep Learning

(*)★★ (*)★★ (*)★★ (*)★★ (*)★★ 4.5
77.2K reviews

28 h 5 m

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Applied Data Science with Python

Popular course

The 5 courses in this University of Michigan specialization introduce learners to data science through the python programming language

(*)★★ (*)★★ (*)★★ (*)★★ (*)★★ 4.5
8.1K reviews

140 h

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Intro to Data Science

Popular course

What does a data scientist do? In this course, we will survey the main topics in data science so you can understand the skills that are needed to become a data scientist!

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Understanding Data Science

An introduction to data science with no coding involved.

(*)★★ (*)★★ (*)★★ (*)★★ (*)★★ 4.8
434 reviews

2 h

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Python Data Science Toolbox : Part 1

Learn the art of writing your own functions in Python, as well as key concepts like scoping and error handling.

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IBM Data Science

Kickstart your career in data science & ML. Master data science, learn Python & SQL, analyze & visualize data, build machine learning models.

(*)★★ (*)★★ (*)★★ (*)★★ (*)★★ 4.6
40.3K reviews
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R Programming A-Z: R For Data Science (Course & Exercises)

Learn Programming In R And R Studio. Data Analytics, Data Science, Statistical Analysis, Packages, Functions, GGPlot2

(*)★★ (*)★★ (*)★★ (*)★★ (*)★★ 4.6
35.7K reviews

10 h 5 m

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A Crash Course in Data Science

This is a focused course that will quickly bring you up to speed in the field of data science. Our goal was to make this as easy for you as possible while not sacrificing any essential content. We've left out the technical details so you can focus on managing and moving your team forward.

(*)★★ (*)★★ (*)★★ (*)★★ (*)★★ 4.5
7.9K reviews

7 h

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Python Data Science Toolbox : Part 2

Learn about iterators and list comprehensions to further your modern Data Science skills.




Details about best Data Science tutorials and courses

Want to learn data science ? This is the list of best data science courses available online. From this list, you can take any of the data science course to learn data science in details and become master of data science.

Learn data science from the best data science courses and best data science tutorials online. Select best courses for data science based on your skill level either beginner or expert. These are the best data science tutorials and courses to learn data science step by step.

Collection of best Data Science Courses

These best data science courses are collected from MOOCs and online education providers such as Udemy, Coursera, Edx, Skillshare, Udacity, Bitdegree, Eduonix, QuickStart, YouTube and more. Find the best data science tutorials courses and get best training and practical knowledge of data science.

Get started with data science for best and learn fast from the scratch as a beginner. Find best data science tutorials for beginners that may include projects, practice exercises, quizzes and tests, video lectures, examples, certificate and advanced your data science level. Some courses provide best certificate on course completion.

data science courses are categorized in the best, discount offers, best trials based on their availability on their original platforms like Udemy, Coursera, Edx, Udacity, skillshare, Eduonix, QuickStart, YouTube and others Moocs providers. The data science courses list are updated at regular interval to maintain latest status.

After collecting courses and tutorials from different Moocs and education providers, we filter them based on its pricing, subject type, certification and categorize them in the relevant subject or programming language or framework so you do not have to waste time in finding the right course and start learning instead.

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