Coursera's "Introduction to Data Science in Python" by the University of Michigan:
This course provides a gentle introduction to data science through the use of the Python programming language. It covers topics such as data cleaning and visualization, probability and statistics, and machine learning. The course is designed for beginners with no prior programming experience and is a great starting point for anyone interested in data science.
edX's "Data Science MicroMasters" from MIT:
This program is a series of five courses that cover the foundational concepts of data science, including probability, statistics, machine learning, and big data. The program also includes a capstone project where students apply their knowledge to a real-world problem. It is designed for students who have a background in programming and mathematics, and it is a great option for anyone looking to advance their skills and pursue a career in data science.
DataCamp's "Data Science Career Track":
This is a comprehensive online course which covers a wide range of topics in data science such as Python, R, SQL, Machine Learning, Data Visualisation, and Big Data. It also includes interactive coding exercises, projects and career resources. It is designed for beginners as well as experienced data scientists looking to expand their skills.
fast.ai's "Practical Deep Learning for Coders":
This course is focused on deep learning, which is a subfield of machine learning that deals with neural networks. It covers both the theory and practice of deep learning, and it is designed for people who have some experience with programming. The course is based on the fast.ai library, which makes it easy to train deep learning models.
Dataquest's "Data Analyst in Python":
This course is focused on the data analysis and visualization aspects of data science. It covers topics such as data cleaning, exploration, and visualization using Python. It also includes interactive coding exercises and projects to help students apply their knowledge. It is designed for beginners with no prior programming experience.
Data Science Specialization on Coursera by Johns Hopkins University:
This is a series of 9 courses that cover the essential concepts of data science, including statistical inference, data visualisation, and machine learning. It also includes a capstone project where students apply their knowledge to a real-world problem. It is designed for students who have a background in programming and mathematics and is a great option for anyone looking to advance their skills and pursue a career in data science.