Coursera is a popular online learning platform that offers thousands of courses administered by some of the “World’s TOP” universities and higher education institutions.
With so many options, it can be difficult to know which course is worth the investment of your time and money, should you choose if you intend to take the program and get a certificate.
Through its data, Coursera has presented a list of the best courses that are evaluated based on completion rates and actual value for students . While Coursera can’t share the exact completion rate, these are courses with high enrollment and correspondingly high completion rates.
There are many courses offered for free on the platform. You can access all of the course’s videos and materials, but usually cannot earn a certificate on completion . Or certificated and paid long-term programs (including some from Google), which typically cost $39 or $49 per month until you’re done.
Whether you’re looking to sharpen a professional skill or hone a hobby , Coursera has it all for you. Here is a summary of the best courses according to the above list in the field of Data Analysis and Machine Learning that can help you:
GOOGLE DATA ANALYSIS COURSE
1/ Google Data Analytics: View details
2/ Google Business Intelligence: View details
3/ Google Advanced Data Analytics: View details
IBM DATA ANALYSIS COURSE
1/ IBM Data Science: View details
2/ IBM Data Analyst: View details
3/ Introduction to Data Science: View details
4/ Data Science Fundamentals with Python and SQL: View details
5/ IBM Data Analytics with Excel and R: View details
6/ Data Analysis and Visualization Foundations: View details
UNIVERSITY OF CALIFORNIA DATA ANALYSIS COURSE
1/ Learn SQL Basics for Data Science: View details
2/ Geographic Information Systems (GIS): View details
UNIVERSITY OF MICHIGAN DATA ANALYSIS COURSE
Applied Data Science with Python: View details
DEEPLEARNING.AI MACHINE LEARNING COURSE
1/ Machine Learning: View details
2/ Deep Learning: View details
3/ Machine Learning Engineering for Production (MLOps): View details
4/ DeepLearning.AI TensorFlow Developer: View details
5/ Natural Language Processing: View details
IBM MACHINE LEARNING COURSE
IBM AI Engineering: View details
Pros: The program design is very standard and complete, the lecturer’s method of communication is coherent and easy to understand. The content is always updated with the latest from the world’s leading faculty and universities. In particular, the tuition fee is very comfortable, study anytime, anywhere on all platforms including mobile.
Cons: Teaching in English. However, do not worry. This is also a good opportunity for you to practice your specialized English skills with standard pronunciation of native speakers. With the development of today’s translation tools, language will soon no longer be a barrier!
Follow us and join us to update many other quality and useful courses!
