You don’t need to spend a fortune and study for years to work with big data, analytics, and artificial intelligence. The demand for “data scientists” – those who have no formal qualifications in the specific subject but have the right skills and excellent knowledge to analyze data in their daily work – they can expect the demands of data scientists in the coming years. This means that practically everyone can improve their employability and career opportunities by learning the basic theoretical and practical skills required for data science. And luckily, there are a 7 best free online data science courses available that can help you to gain data science skills.

Here is my overview of the best online data science courses in 2020. Some of them may have to be paid at the end of the course if you want official certification or accreditation to complete the course. However, the learning material is freely available to anyone who wants to improve their knowledge and skills of data.

1. Data Science Course, John Hopkins University (Coursera)

Developed to give an overview of what data science is, how it works and what it can be used for. This course introduces the technical side of data science but specifically aims to understand the “big picture” for those who want to manage data scientists or data science work. It is a relatively short course that consists of a single module and can be completed in less than a week. It serves as an introduction to those who want to learn terminology and understand how to build a data science strategy without the need for detailed instructions on how to use the technical tools involved

2. Data Science Course-Microsoft (EdX)

This course is aimed at those who want to improve their career opportunities with a mix of practical and theoretical knowledge. It guides you through basic concepts and terms, statistical techniques such as regression, grouping, and classification, as well as practical steps for creating and evaluating models.

Because it’s a Microsoft course, the cloud-based components focus on the Azure framework for business. However, the concepts taught also apply to organizations connected to competing for cloud frameworks such as AWS. It requires a basic understanding of R or Python, the two most commonly used programming languages in data science. Therefore, it may be helpful to read one of the courses that cover the courses below.

3. Data Science Course (Harvard)

Data science and other courses are available online from Harvard. These online courses are completely free so that you can be studied on your own. You may not have a degree from one of the most prestigious universities in the world, but the course is detailed and technical enough to end up making you an expert. The course is part of a diploma in data science and is aimed at students who have previous knowledge or study key areas such as programming, mathematics, and statistics. However, there are enough free resources on these topics to make it a viable option for those outside the academic world if you are committed enough.

4. Introduction to Data Science using Python (Rakesh Gopalkrishnan- Udemy)

It is one of Udemy’s most popular introductory courses on data science and coding in Python. It does not require any previous knowledge or experience as it starts with the basics. Unlike some other beginner courses, however, practical instructions are used in Python, and in particular, the Sci-Kit Learn framework, a very popular tool for exploring and using data at the university level and in business.

5. Learning to Love Statistics (University of Notre Dame)

In addition to mathematics and computer science, statistics is one of the basic academic disciplines that those working on projects involving data science and analysis refer to. If you are new to the topic, this course provides a non-technical foundation for basic and advanced principles and techniques that will surely help everyone deal with the broader field of data science.

If you really want to understand data science, you will eventually come across statistics and probabilities, which can certainly be confusing for newbies, especially if your formal education days ended there. The subject at school is a faint memory. This course explains how to use the statistical approach to understand the information around the world around us.

6. Learn Data Science with R (Ram Reddy- Coursera)

This course, led by an established expert in R and data analysis, is the first of a detailed ten-part tutorial on expert R programming. However, it is also an introduction to language and an introduction to the basics as they relate to this data science.

Like Python, R is a completely free, open-source language and environment that has become a standard due to its power and flexibility, which is accepted by data scientists.

This course consists of 10 lectures over eight hours of video and is completely free.

7. Data Science Course using Python (NearLearn)

This is one of the most popular courses from NearLearn. You don’t need to have previous experience in data science. NearLearn online data science course using python would provide you practical knowledge on data science from scratch. So student usually doesn’t get difficulties to understand technical terms of data science. So that’s why it is one of the popular courses from NearLearn.

This course is a first step on the road, presenting the Python functions used to prepare and manipulate large data sets as well as proven techniques to extract information from data. It is supposed to be completed by spending three to six hours a week studying or working on exercises, over four weeks.

Conclusion

Here I have explained the 7 best free online data science courses in 2020. These are the best platform to learn data science course with python. Some of them may be paid but most of them are totally free. So you can go and enroll now for your data science course.

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7 Best Free Online Data Science Courses In 2020