These are the 9 best free online data science courses for 2020

To get started with big data analytics and artificial intelligence, you don’t need to invest a lot of time and learn for years. In the next few years, demand for “armchair data scientist” (those without formal training in the subject but who have the skills and knowledge necessary to analyze data in their daily work) is expected to exceed that of traditionally qualified data scientists.

This means that anyone can improve their employability and career prospects simply by learning the basic theory and practice of data science. There are tons of resources available online that can help you achieve this goal.

Here is my list of the top. You might need to pay at the end to get official accreditation or certification of completion. However, the learning materials are free to all who wish to improve their data skills.

Data Science Course John Hopkins University (Coursera).

This course is designed to provide a clear overview of data science, its functions, and the potential uses for it. This course focuses on the technical aspects of data science, but it is especially designed to help those in charge of data scientists and data science work.

This course is short and consists of one module. It can be completed in less than a week. It serves as an introduction to the terminology and how to build a data-science strategy.

Introduction To Data Science (Revised). – Alison

This course is completely free and breaks down the key topics of data science and introduces machine learning into three modules. Each module takes around three hours and concludes with an assessment. After you have completed that course, you can access several similar tutorials on data programming languages, visualization tools and techniques like building clustering or regression models.

Data Science & Machine Learning Essentials Microsoft (EdX).

This course is designed for those who want to enhance their career prospects. It covers core concepts and terminology, as well as statistical techniques like regression, clustering and classification. You will also learn the practical steps required to create and evaluate models.

Although it is a Microsoft course, the cloud-based components are focused on Microsoft’s Azure framework. However, the concepts are equally applicable to other cloud frameworks like AWS. This course assumes that you have a basic knowledge of R and Python, two of the most commonly used programming languages in data sciences. It may also be helpful to check out one of the courses below.

Learn Data Science – Dataquest

Dataquest is a premium platform that offers proprietary content. However, there are a few free modules available to everyone who signs up.

Data Science Harvard

You can access all the lectures and class materials for Harvard’s data science course online at your own pace. Although you may not be awarded a degree from any of the most prestigious universities in the world, the course is comprehensive and technical enough that you will be an expert by the end. This course is part of a degree in data science and is designed for students with prior knowledge or who are currently studying core subjects such as statistics, programming, maths, and mathematics. If you’re dedicated enough, however, there are plenty of free resources on these subjects that make it a viable option.

Introduction To Data Science in Python University of Michigan (Coursera).

Python is a popular programming language for those who want to learn how to code. It is easy to learn and can be combined to create powerful data science operations.

This course is a starting point. It introduces Python functions used to prepare large datasets and the proven methods for extracting insight from them. The course is designed to be completed in between 3 and 6 hours per week, with exercises or study.

Data Science with R Ram Reddy (Coursera).

This course, which is led by an expert in R and Data Analytics, is the first of a ten-part tutorial about expert R programming. However, it can also be used as an introduction to R and as a primer on data science basics.

R, like Python, is an open-source language that can be used to create data science tools. It has been accepted as a standard by data scientists because of its flexibility and power.

This course is free and includes 10 lectures. It also features eight hours of video.

Introduction To Data Science Using Python Rakesh Gopalakrishnan, Udemy

This course is one of Udemy’s most popular introductory courses in Python and data science. This course does not require prior knowledge or experience. It starts from the basics. It does, however, go beyond the basics and provides practical instruction in Python. This is a great tool for data exploration and mining at both enterprise and academic levels.

I Heart Stats – Learning to Love Statistics – University of Notre Dame (EdX).

Statistics, along with computer science and maths, is a fundamental academic discipline that can be used by people who work on data science and analytics projects. This course is for those who are not familiar with the subject. It provides a basic, but also advanced, grounding in the field.

Data science is something you must understand if you want to really master it. This course will explain how statistical analysis is used to make sense out the vast amount of information available in the world.

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