Data Science is getting popular day by day. That’s why everyone is trying to come to the Data Science field. But the challenge is finding the best resources to learn data science. In this article, I am gonna share Best Online Resources to Learn Data Science including Online Courses, Online Tutorials, YouTube channels, Data Science Blogs, EBooks, etc.
I would recommend you to bookmark this article because this article will help you in your learning journey.
So, without any further delay, let’s start finding the best online resources to learn data science.
Best Online Resources to Learn Data Science
Before I discuss the resources, I would like to mention the skills required in data science. So, in data science, the following skills are required-
- Programming Skills (Python & R)
- Statistics or Probability
- Machine Learning
- Multivariate Calculus and Linear Algebra
- Data wrangling.
- Data Visualization.
- Database Management
- BigData
The resources which I am gonna share in this article will cover these required skills for data science. And For your convenience, I have created separate sections for each resource. So let’s start with online courses and tutorials-
Online Courses & Tutorials
- IBM Data Science Professional Certificate– Coursera
- Become a Data Scientist– Udacity
- Data Science Specialization– Coursera
- Applied Data Science with Python Specialization– Coursera
- Programming for Data Science with Python– Udacity
- Data Science for Everyone– Datacamp
- Data Scientist with Python– Datacamp
- Data Scientist with R– Datacamp
- Professional Certificate in Data Science– edX
- MicroMasters® Program inData Science– edX
- The Data Science Course 2024: Complete Data Science Bootcamp– Udemy
- Data Science Tutorial–w3schools
- Data Scientist Masters Program– Edureka
- Career Path Data Science– Codecademy
- Data Science Tutorial– DataFlair
- Python – Data Science Tutorial– TutorialsPoint
Statistics & Probability
- Statistics with R Specialization– Coursera
- Statistics and probability– Khan Academy
- Statistics with Python Specialization– Coursera
- Learn Statistics with Python– Codecademy
- Basic Statistics– Coursera
- Statistics – Probability-TutorialsPoint
- Statistics for Data Science and Business Analysis– Udemy
- Statistical Analysis with R for Public Health Specialization– Coursera
- Intro to Statistics– Udacity
- Probability Theory, Statistics, and Exploratory Data Analysis– National Research University Higher School of Economics
- Probability and Statistics– University of London
- Probabilistic Graphical Models Specialization– Coursera
- Probability – The Science of Uncertainty and Data– MITx
- Fundamentals of Statistics– MITx
- STATISTICS TUTORIALS: BEGINNER TO ADVANCED– Listen Data
- Probability and Statistics– MathisFun
Programming Language
- The Python Tutorial– PYTHON.ORG
- Python for Everybody – University of Michigan
- Introduction To Python Programming– Udemy
- Python Core and Advanced– Udemy
- Crash Course on Python– Google
- Python for Absolute Beginners!– Udemy
- Introduction to Python Programming– Udacity
- Python 3 Tutorial– SOLOLEARN
- Python 3 Programming Specialization– University of Michigan
- R Programming – Johns Hopkins University
- Programming for Data Science with R– Udacity
- R Programming A-Z™– Udemy
- Python Tutorial– W3Schools
- R Tutorial– Tutorials Point
- R Tutorial– Statmethods
Mathematics
- Mathematics for Machine Learning Specialization– Imperial College London
- Mathematics for Data Science Specialization– Coursera
- Data Science Math Skills– Duke University
- Introduction to Calculus– The University of Sydney
- Calculus 1– Khan Academy
- Introduction to Calculus-MathisFun
Data Wrangling
- Python – Data Wrangling– TutorialsPoint
- Excel to MySQL: Analytic Techniques for Business Specialization– Duke University
- Learn SQL Basics for Data Science Specialization– University of California, Davis
- SQL – MySQL for Data Analytics and Business Intelligence- Udemy
- Modern Big Data Analysis with SQL Specialization– Cloudera
- Data Warehousing for Business Intelligence Specialization– University of Colorado System
- Data Wrangling with pandas Cheat Sheet
- Python Data Wrangling Tutorial: Cryptocurrency Edition– Elite Data Science
Data Visualization
- Tableau Tutorial– Tableau.com
- Data Visualisation with Tableau– DataCamp
- Data Visualization with Tableau Specialization–– University of California, Davis
- Data Visualization with Python– IBM
- Data Visualization– Coursera
- Data Visualization– Udacity
- Data Visualization– TutorialsPoint
So, these are online courses and tutorials. Now I am gonna share some YouTube tutorials for Data Science-
YouTube Videos
- Data Science Tutorial– Great Learning
- Data Science Full Course– Edureka
- Data Science Full Course For Beginners– codebasics
- Data Science Full Course– Simplilearn
- Learn Data Science Tutorial– freeCodeCamp
- R Programming Tutorial– freeCodeCamp
- Statistics for Data Science– Great Learning
- Statistics – A Full University Course on Data Science Basics–freeCodeCamp
- Statistics Course for Data Science | Statistics Course– MarinStatsLectures-R Programming & Statistics
- Mathematics for Machine Learning [Full Course]– Edureka
- Machine Learning Data Pre-processing & Data Wrangling using Python– The AI University
- Data Visualization Tutorial– by Krish Naik
- Power BI Tutorial From Beginner to Pro– Avi Singh – PowerBIPro
- Data Visualization Tutorial For Beginners- Simplilearn
- Data Visualization with D3.js – Full Tutorial Course- freeCodeCamp.org
Data Science Blogs
- DataScience.com
- Edwin Chen’s Blog
- The Shape of Data
- Machine Learning Mastery
- Data Science 101
- MLTUT
- Planet Big Data
- Big Data Blog
- Data36
- Towards Data Science
- Simply Statistics
- NYC Data Academy Blog
- Chris Ablon’s Blog
- Algobeans
- Daniel Nee’s Blog
- Data Blogger
- Data Aspirant
- Data Mining Research
Data Science Ebooks
- Journey to Data Scientist: Interviews with More Than Twenty Amazing Data Scientists by Kate Strachnyi
- Learn Python the Hard Way by Zed A. Shaw (download PDF here)
- R for Data Science by Hadley Wickham (download PDF here)
- An Introduction to Statistical Learning by Gareth James, Daniela Witten, Trevor Hastie, and Robert Tibshirani (download the pdf version of this book from here)
- Probability and Statistics for Data Science by Norman Matloff
- The Art of Statistics: How to Learn from Data by David Spiegelhalter (download the PDF here)
- Data Analysis From Scratch With Python by Peters Morgan (Download the PDF here)
- Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython by Wes McKinney (download the PDF here)
- Data Visualization: A Practical Introduction by Kieran Healy (download the PDF here)
- Data Visualisation: A Handbook for Data-Driven Design by Andy Kirk (download the PDF here)
- The Data Wrangling Workshop by Brian Lipp
And here the list ends. I hope these resources will help you to learn and master data science. I would suggest you bookmark this article for future referrals.
Now, you might have a question, “Which MOOC Platform is Best for Data Science?”.
Which MOOC Platform is Best for Data Science?
Let’s have a quick comparison between Coursera, edX, Udacity, Udemy, and DataCamp-
Coursera | edX | Udacity | Udemy | DataCamp | |
Price | $39/month | Free to Audit, but for full material and certificate it cost around $50 to $300. | $399/month. | $10 to $199 | Free account ($0), the Standard ($25 a month), or the Premium ($33.25 a month) |
Mode of Learning | Self-paced videos with scheduled learning | A mix of self-paced or instructor-paced classes. | Most of the Udacity courses are self-paced. | Self-paced videos | Self-paced videos |
Languages | Many Languages | English | Mostly English | Wide range of languages | English |
Certificate Accreditation | Accredited certificates | Accredited certificates | Not Accredited | Not Accredited | Not Accredited |
Course structure | Video Lectures, Quizzes, and assignments | Short videos, interactive learning exercises | Nanodegree programs and Free Online Courses | Video lectures | Video lectures |
Best For- | Those who are looking for more detailed, structured, and credible courses from Top Universities. | Anyone who is looking to earn accredited certificates or university degrees. | Those who are looking for more real-world project-based advanced data science training. | Those who are looking for short courses that provide enough information in a short amount of time. | DataCamp is for those who are new in the field of Data Science and want to learn the basics of Data Science. |
Free Sign Up at Coursera | Free Sign Up at edX | Free Sign Up at Udacity | Free Sign Up at Udemy | Free Sign Up at DataCamp |
So, you can choose the platform for data science according to your preference.
FAQ on Best Resources to Learn Data Science
Now it’s time to wrap up.
Conclusion
In this article, I tried to cover all the best online resources to learn data science from online courses to YouTube videos. If you have any doubts or questions, feel free to ask me in the comment section.
All the Best!
Enjoy Learning!
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Thank YOU!
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Though of the Day…
‘ It’s what you learn after you know it all that counts.’
– John Wooden
Written By Aqsa Zafar
Founder of MLTUT, Machine Learning Ph.D. scholar at Dayananda Sagar University. Research on social media depression detection. Create tutorials on ML and data science for diverse applications. Passionate about sharing knowledge through website and social media.