120+ FREE Data Science Courses from Udemy in 15 languages

As said in the Harvard Business reviews, Data Scientist is the sexiest job of the 21^st century; nowadays, it is one of the top-ranking professions in any analytics organization.  According to the glassdoor.com, “Data Scientists” profession ranks among the top ten best jobs in America and the United Kingdom. Moreover, our survey from glassdoor.com revealed that data scientist is a highly paid profession, which ranks third in America and sixth in the UK with the median-based salary of $107,801 and £ 45,188, respectively. Also, it one of the best subjects in distance learning programs. Today, we have brought you free Udemy Data Science Courses to give you hands-on experience and let you acquire required prerequisite skills. 

Besides, there are many online learning platforms where you can pursue courses under various degree programs ranging from micro-degrees to specializations and masters. After completing your classes, the course providers will offer valid certificates to upgrade your resume and ultimately benefit you in your professional development. Remember, your potential employer always prefers skilled candidates who are always eager to learn and acquire knowledge.

Here, we have listed 100+ Udemy data science courses in 14+ languages that can be taken free of cost. Moreover, prior to getting enrolled in the data science courses, you should have some prerequisite skills, as not all courses begin with the basics in programming on Python or R; for this, we have listed 200+ free python programming courses from Udemy, which is one of the leading online learning platform as per our survey during 2020-2021. You can enroll in any of those free courses so that you can acquire the required prerequisite skill sets.

In the free courses listed below, Udemy will offer complete access to online video content; however for getting certificate of completion, instructor Q & A and for instructor’s message you will have to pay at the end of the course or at any time during the course, otherwise the course content is freely accessible.