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The 9 Best Free Online
Data Science Courses
In 2020
© 2019 Bernard Marr, Bernard Marr & Co. All rights reserved
Title
Text
IntroductionIntroduction
You don't have to spend a fortune and study for years to start working with big data,
analytics, and artificial intelligence. Demand for "armchair data scientists" – those
without formal qualifications in the subject but with the skills and knowledge to analyze
data in their everyday work, is predicted to outstrip demand for traditionally qualified
data scientists in the coming years.
This means that practically anyone can upgrade their employability and career prospects
by learning the fundamental theory and practical skills needed for data science. And
luckily, there's a ton of resources online to help you do just that.
The 9 Best Free Online Data
Science Courses In 2020
© 2019 Bernard Marr, Bernard Marr & Co. All rights reserved
Title
Text
IntroductionIntroduction
Here’s my overview of some of the best. Some of these might require payment at the
end of the course if you want official certification or accreditation of completing the
course, but the learning material is freely available to anyone who wants to level up their
data knowledge and skills.
The 9 Best Free Online Data
Science Courses In 2020
© 2019 Bernard Marr, Bernard Marr & Co. All rights reserved
Data Science Crash Course
Data Science Crash Course, John Hopkins University (Coursera)
Designed to give a "fluff-free" overview of what data science is, how it works, and what it
can be used to do. This course offers an introduction to the technical side of data science
but is particularly aimed at understanding the "big picture" for those who need to manage
data scientists or data science work.
It's a relatively short course consisting of just one module that can be completed in under
a week and serves as a great introduction for those who want to learn the terminology
and understand how to build a data science strategy, without necessarily needing detailed
instructions on using the technical tools involved.
© 2019 Bernard Marr, Bernard Marr & Co. All rights reserved
Introduction to Data Science (Revised)
Introduction to Data Science (Revised) – Alison
A completely free course that breaks down the core topics of the data science process and
an introduction to machine learning into three modules, each designed to take around
three hours to complete, and concluding with an assessment. Once you've worked
through that, you can choose from several other similarly bite-sized tutorials covering data
programming languages, visualization tools, and techniques such as building clustering
and
regression models.
© 2019 Bernard Marr, Bernard Marr & Co. All rights reserved
Data Science and Machine
Learning Essentials
Data Science and Machine Learning Essentials – Microsoft (EdX)
This course, aimed at those wanting to improve their career prospects with a mix of
practical and theoretical knowledge, walks you through core concepts and terminology,
statistical techniques such as regression, clustering, and classification, and the practical
steps needed to build and evaluate models.
As it is a Microsoft course, its cloud-based components focus on the company's Azure
framework, but the concepts that are taught are equally applicable in organizations that
are tied to competing cloud frameworks such as AWS. It assumes a basic understanding of
R or Python, the two most frequently used programming languages in data science, so it
may be useful to look at one of the courses covering those that are mentioned below,
first.
© 2019 Bernard Marr, Bernard Marr & Co. All rights reserved
Learn Data Science
Learn Data Science – Dataquest
Although primarily a paid-for platform offering proprietary content, Dataquest offers a
number of free introductory modules to anyone who signs up, covering essential topics
such as working with data, visualizing data, data mining and constructing algorithms in
Python and R. If you want the full, ad-free experience and certification there are monthly
subscription options, but there's more than enough information to get started free of
charge.
© 2019 Bernard Marr, Bernard Marr & Co. All rights reserved
Data Science
Data Science – Harvard
All of the class materials and lectures for Harvard's data science course are made freely
available online, so they can be studied at your own pace. You may not end up with a
degree from one of the world's most prestigious universities, but the course is detailed
and technical enough to make an expert of you by the end. The course is part of a data
science degree and constructed for students who have prior knowledge of, or are also
studying, core fields such as programming, maths, and statistics. However, there are
enough free resources out there on those subjects to make this a viable option for those
outside of academia, if you are dedicated enough.
© 2019 Bernard Marr, Bernard Marr & Co. All rights reserved
Introduction to Data Science in Python
Introduction to Data Science in Python – University of Michigan (Coursera)
Those wanting to get their hands dirty with some actual coding will soon find out that
Python is one of the most commonly used programming languages in the field, and for
good reason. It’s relatively simple to learn the basics and can be combined with a number
of free, open-source libraries to perform hugely powerful data science operations.
This course serves as a first step along the road, introducing Python functions that are
used to prepare and manipulate big datasets as well as the proven techniques for
extracting insights from data. It is intended to be completed by spending between three
and six hours per week studying or working on exercises, over four weeks.
© 2019 Bernard Marr, Bernard Marr & Co. All rights reserved
Learn Data Science with R
Learn Data Science with R – Ram Reddy (Coursera)
This course led by an established expert in R and data analytics is the first in an
in-depth, ten-part tutorial on expert R programming, but also stands on its own
as an introduction to the language and a primer on the basics as they relate to data
science.
Like Python, R is a totally free and open-source language and environment that has
become an accepted standard among data scientists due to its power
and flexibility.
This course consists of 10 lectures delivered across eight hours of video, and is completely
free to follow.
© 2019 Bernard Marr, Bernard Marr & Co. All rights reserved
Introduction to Data Science Using Python
Introduction to Data Science Using Python - Rakesh Gopalakrishnan (Udemy)
This is one of the most highly-rated of Udemy’s introductory courses on the subjects of
data science and coding in Python. It does not require any previous knowledge or
experience as it starts right from the basics. However, unlike some other very entry-level
courses, it does progress to some actual practical instruction in Python and, particularly
usefully, its Sci-Kit Learn framework, a very popular tool for academic and enterprise-level
data exploration and mining.
© 2019 Bernard Marr, Bernard Marr & Co. All rights reserved
I Heart Stats: Learning to Love Statistics
I Heart Stats: Learning to Love Statistics – University of Notre Dame (EdX)
Along with maths and computer science, statistics is one of the fundamental academic
disciplines invoked by those working on projects involving data science and analytics. If
you are completely new to the subject, this course offers a non-technical grounding
covering basic and some advanced principles and techniques that will certainly help
anyone trying to get their head around the wider field of data science.
If you want to truly understand data science then at some point you are going to come up
against the field of statistics and probability, which can certainly be baffling for
newcomers, particularly if your formal education days ended some time ago and what you
did learn about the subject at school is a dim memory. This course explains how the
statistical approach is used to make sense of the information that’s everywhere in the
world around us.
© 2017 Bernard Marr , Bernard Marr & Co. All rights reserved
© 2018 Bernard Marr, Bernard Marr & Co. All rights reserved
Bernard Marr is an internationally best-selling author, popular keynote speaker, futurist, and a
strategic business & technology advisor to governments and companies. He helps
organisations improve their business performance, use data more intelligently, and
understand the implications of new technologies such as artificial intelligence, big data,
blockchains, and the Internet of Things.
LinkedIn has ranked Bernard as one of the world’s top 5 business influencers. He is a frequent
contributor to the World Economic Forum and writes a regular column for Forbes. Every day
Bernard actively engages his 1.5 million social media followers and shares content that
reaches millions of readers.
Visit The
Website
© 2017 Bernard Marr , Bernard Marr & Co. All rights reserved
© 2019 Bernard Marr, Bernard Marr & Co. All rights reserved
Bernard Marr is an internationally best-selling author, popular keynote speaker, futurist, and a
strategic business & technology advisor to governments and companies. He helps
organisations improve their business performance, use data more intelligently, and
understand the implications of new technologies such as artificial intelligence, big data,
blockchains, and the Internet of Things.
LinkedIn has ranked Bernard as one of the world’s top 5 business influencers. He is a frequent
contributor to the World Economic Forum and writes a regular column for Forbes. Every day
Bernard actively engages his 1.5 million social media followers and shares content that
reaches millions of readers.
Visit The
Website
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The 9 Best Free Online Data Science Courses In 2020

  • 1. The 9 Best Free Online Data Science Courses In 2020
  • 2. © 2019 Bernard Marr, Bernard Marr & Co. All rights reserved Title Text IntroductionIntroduction You don't have to spend a fortune and study for years to start working with big data, analytics, and artificial intelligence. Demand for "armchair data scientists" – those without formal qualifications in the subject but with the skills and knowledge to analyze data in their everyday work, is predicted to outstrip demand for traditionally qualified data scientists in the coming years. This means that practically anyone can upgrade their employability and career prospects by learning the fundamental theory and practical skills needed for data science. And luckily, there's a ton of resources online to help you do just that. The 9 Best Free Online Data Science Courses In 2020
  • 3. © 2019 Bernard Marr, Bernard Marr & Co. All rights reserved Title Text IntroductionIntroduction Here’s my overview of some of the best. Some of these might require payment at the end of the course if you want official certification or accreditation of completing the course, but the learning material is freely available to anyone who wants to level up their data knowledge and skills. The 9 Best Free Online Data Science Courses In 2020
  • 4. © 2019 Bernard Marr, Bernard Marr & Co. All rights reserved Data Science Crash Course Data Science Crash Course, John Hopkins University (Coursera) Designed to give a "fluff-free" overview of what data science is, how it works, and what it can be used to do. This course offers an introduction to the technical side of data science but is particularly aimed at understanding the "big picture" for those who need to manage data scientists or data science work. It's a relatively short course consisting of just one module that can be completed in under a week and serves as a great introduction for those who want to learn the terminology and understand how to build a data science strategy, without necessarily needing detailed instructions on using the technical tools involved.
  • 5. © 2019 Bernard Marr, Bernard Marr & Co. All rights reserved Introduction to Data Science (Revised) Introduction to Data Science (Revised) – Alison A completely free course that breaks down the core topics of the data science process and an introduction to machine learning into three modules, each designed to take around three hours to complete, and concluding with an assessment. Once you've worked through that, you can choose from several other similarly bite-sized tutorials covering data programming languages, visualization tools, and techniques such as building clustering and regression models.
  • 6. © 2019 Bernard Marr, Bernard Marr & Co. All rights reserved Data Science and Machine Learning Essentials Data Science and Machine Learning Essentials – Microsoft (EdX) This course, aimed at those wanting to improve their career prospects with a mix of practical and theoretical knowledge, walks you through core concepts and terminology, statistical techniques such as regression, clustering, and classification, and the practical steps needed to build and evaluate models. As it is a Microsoft course, its cloud-based components focus on the company's Azure framework, but the concepts that are taught are equally applicable in organizations that are tied to competing cloud frameworks such as AWS. It assumes a basic understanding of R or Python, the two most frequently used programming languages in data science, so it may be useful to look at one of the courses covering those that are mentioned below, first.
  • 7. © 2019 Bernard Marr, Bernard Marr & Co. All rights reserved Learn Data Science Learn Data Science – Dataquest Although primarily a paid-for platform offering proprietary content, Dataquest offers a number of free introductory modules to anyone who signs up, covering essential topics such as working with data, visualizing data, data mining and constructing algorithms in Python and R. If you want the full, ad-free experience and certification there are monthly subscription options, but there's more than enough information to get started free of charge.
  • 8. © 2019 Bernard Marr, Bernard Marr & Co. All rights reserved Data Science Data Science – Harvard All of the class materials and lectures for Harvard's data science course are made freely available online, so they can be studied at your own pace. You may not end up with a degree from one of the world's most prestigious universities, but the course is detailed and technical enough to make an expert of you by the end. The course is part of a data science degree and constructed for students who have prior knowledge of, or are also studying, core fields such as programming, maths, and statistics. However, there are enough free resources out there on those subjects to make this a viable option for those outside of academia, if you are dedicated enough.
  • 9. © 2019 Bernard Marr, Bernard Marr & Co. All rights reserved Introduction to Data Science in Python Introduction to Data Science in Python – University of Michigan (Coursera) Those wanting to get their hands dirty with some actual coding will soon find out that Python is one of the most commonly used programming languages in the field, and for good reason. It’s relatively simple to learn the basics and can be combined with a number of free, open-source libraries to perform hugely powerful data science operations. This course serves as a first step along the road, introducing Python functions that are used to prepare and manipulate big datasets as well as the proven techniques for extracting insights from data. It is intended to be completed by spending between three and six hours per week studying or working on exercises, over four weeks.
  • 10. © 2019 Bernard Marr, Bernard Marr & Co. All rights reserved Learn Data Science with R Learn Data Science with R – Ram Reddy (Coursera) This course led by an established expert in R and data analytics is the first in an in-depth, ten-part tutorial on expert R programming, but also stands on its own as an introduction to the language and a primer on the basics as they relate to data science. Like Python, R is a totally free and open-source language and environment that has become an accepted standard among data scientists due to its power and flexibility. This course consists of 10 lectures delivered across eight hours of video, and is completely free to follow.
  • 11. © 2019 Bernard Marr, Bernard Marr & Co. All rights reserved Introduction to Data Science Using Python Introduction to Data Science Using Python - Rakesh Gopalakrishnan (Udemy) This is one of the most highly-rated of Udemy’s introductory courses on the subjects of data science and coding in Python. It does not require any previous knowledge or experience as it starts right from the basics. However, unlike some other very entry-level courses, it does progress to some actual practical instruction in Python and, particularly usefully, its Sci-Kit Learn framework, a very popular tool for academic and enterprise-level data exploration and mining.
  • 12. © 2019 Bernard Marr, Bernard Marr & Co. All rights reserved I Heart Stats: Learning to Love Statistics I Heart Stats: Learning to Love Statistics – University of Notre Dame (EdX) Along with maths and computer science, statistics is one of the fundamental academic disciplines invoked by those working on projects involving data science and analytics. If you are completely new to the subject, this course offers a non-technical grounding covering basic and some advanced principles and techniques that will certainly help anyone trying to get their head around the wider field of data science. If you want to truly understand data science then at some point you are going to come up against the field of statistics and probability, which can certainly be baffling for newcomers, particularly if your formal education days ended some time ago and what you did learn about the subject at school is a dim memory. This course explains how the statistical approach is used to make sense of the information that’s everywhere in the world around us.
  • 13. © 2017 Bernard Marr , Bernard Marr & Co. All rights reserved © 2018 Bernard Marr, Bernard Marr & Co. All rights reserved Bernard Marr is an internationally best-selling author, popular keynote speaker, futurist, and a strategic business & technology advisor to governments and companies. He helps organisations improve their business performance, use data more intelligently, and understand the implications of new technologies such as artificial intelligence, big data, blockchains, and the Internet of Things. LinkedIn has ranked Bernard as one of the world’s top 5 business influencers. He is a frequent contributor to the World Economic Forum and writes a regular column for Forbes. Every day Bernard actively engages his 1.5 million social media followers and shares content that reaches millions of readers. Visit The Website © 2017 Bernard Marr , Bernard Marr & Co. All rights reserved © 2019 Bernard Marr, Bernard Marr & Co. All rights reserved Bernard Marr is an internationally best-selling author, popular keynote speaker, futurist, and a strategic business & technology advisor to governments and companies. He helps organisations improve their business performance, use data more intelligently, and understand the implications of new technologies such as artificial intelligence, big data, blockchains, and the Internet of Things. LinkedIn has ranked Bernard as one of the world’s top 5 business influencers. He is a frequent contributor to the World Economic Forum and writes a regular column for Forbes. Every day Bernard actively engages his 1.5 million social media followers and shares content that reaches millions of readers. Visit The Website
  • 14. Title Subtitle Be the FIRST to receive news, articles, insights and event updates from Bernard Marr & Co straight to your inbox. Signing up is EASY! Simply fill out the online form and we’ll be in touch! © 2018 Bernard Marr, Bernard Marr & Co. All rights reserved