online courses for engineering students

5 Best Data Science Online Courses for Engineering Students

Professional data science specialists are in higher demand than ever before in government, industry, and academia. The best data science courses assist applicants in preparing for industrial difficulties by providing them with the requisite information and high-end abilities for dealing with real-world problems. Whether you want to learn the fundamentals of Data Science or pursue a promising career in the industry, there are various online courses for engineering students that provide the necessary experience.

Here is a list of the top 5 data science courses to assist you in expanding your knowledge in this field.

5 Best data science courses

Data Science Specialization — JHU @ Coursera

It has one of the most popular and well-reviewed course packages on this list. JHU performed an outstanding job with the curriculum’s mix of breadth and depth. An entire part on statistics is covered in this course, which is generally lacking from many data science courses.

Overall, the Data Science specialty provides an outstanding balance of theory and application utilizing the R programming language. You should have some programming expertise (it doesn’t have to be R) and a solid comprehension of Algebra, as far as prerequisites go.

Introduction to Data Science — Metis

This courses’ rating is a 4.9/5 rating on SwitchUp and a 4.8/5 rating on CourseReport. It is the only live online data science course on this list, and it’s a six-week course that covers everything in the data science process. Furthermore, you will earn a certificate upon completion, but you will also obtain continuing education units because of the certification.

 Applied Data Science with Python Specialization — UMich @ Coursera

This wonderful specialty focuses on the practical aspect of data science and is offered by the University of Michigan. It also offers an online data science Master’s degree. It means you’ll receive a solid foundation in data science Python libraries like matplotlib, pandas, nltk, scikit-learn, and networkx, and how to utilize them with actual data.

This series covers how to utilize and assess such techniques in Python. Hence, it is suitable for someone who knows R and is studying statistical concepts somewhere else.

Data Science MicroMasters — UC San Diego @ edX 

MicroMasters from edX are advanced graduate-level courses that may be used to get an actual Master’s degree at some universities. Completing the courses and getting a certificate for this MicroMaster’s will count for 30% of the complete Master of Science in Data Science degree from Rochester Institute of Technology (RIT).


Dataquest is an excellent resource on its own, but it’s also a great supplement to the other courses on our list. Instead of using video lessons, Dataquest teaches using an interactive textbook. Every course in the data science track comes with multiple in-browser, interactive coding stages that walk you through putting what you’ve learned into practice.


Data science education is still in its infancy; it develops into an autonomous subject that produces individuals with different and complementary abilities to those in the computer, information, and statistical sciences.

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