A Collection Of Free Data Science Courses From Harvard, Stanford, MIT, Cornell, and Berkeley

Learn everything about data science by exploring our curated collection of free courses from top universities, covering essential topics from math and programming to machine learning, and mastering the nine steps to become a job-ready data scientist.



A Collection Of Free Data Science Courses From Harvard, Stanford, MIT, Cornell, and Berkeley
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Free courses are very popular on our platform, and we've received many requests from both beginners and professionals for more resources. To meet the demand of aspiring data scientists, we are providing a collection of free data science courses from the top universities in the world. 

University professors and technical assistants teach these courses and cover topics such as math, probability, programming, databases, data analytics, data processing, data analysis, and machine learning. By the end of these courses, you'll have gained the skills required to master data science and become job-ready.

 

Computer Science

 

Link: 5 Free University Courses to Learn Computer Science

If you're considering switching to a career in data, it's crucial to learn computer science fundamentals. Many data science job applications include a coding interview section where you'll need to solve problems using a programming language of your choice.

This compilation offers some of the best free university courses to help you master foundations like computer hardware/software. You will learn Python, data structures and algorithms, as well as essential tools for software engineering. 

 

Python

 

Link: 5 Free University Courses to Learn Python

A curated list of five online courses offered by renowned universities like Harvard, MIT, Stanford, University of Michigan, and Carnegie Mellon University. These courses are designed to teach Python programming to beginners, covering fundamentals such as variables, control structures, data structures, file I/O, regular expressions, object-oriented programming, and computer science concepts like recursion, sorting algorithms, and computational limits. 

 

Databases and SQL

 

Link: 5 Free University Courses to Learn Databases and SQL

It is a list of free database and SQL courses offered by renowned universities such as Cornell, Harvard, Stanford, and Carnegie Mellon University. These courses cover a wide range of topics, from the basics of SQL and relational databases to advanced concepts like NoSQL, NewSQL, database internals, data models, database design, distributed data processing, transaction processing, query optimization, and the inner workings of modern analytical data warehouses like Google BigQuery and Snowflake. 

 

Data Analytics

 

Link: 5 Free University Courses on Data Analytics

Compilation of online courses and resources available for individuals interested in pursuing data science, machine learning, and artificial intelligence. It highlights courses from prestigious institutions like Harvard, MIT, Stanford, Berkeley, covering topics such as Python for data science, statistical thinking, data analytics, mining massive data sets, and an introduction to artificial intelligence. 

 

General Data Science

 

Link: 5 Free University Courses to Learn Data Science

A comprehensive list of free online courses from Harvard, MIT, and Stanford, designed to help individuals learn data science from the ground up. It begins with an introduction to Python programming and data science fundamentals, followed by courses covering computational thinking, statistical learning, and the mathematics behind data science concepts. The courses cover a wide range of topics, including programming, statistics, machine learning algorithms, dimensionality reduction techniques, clustering, and model evaluation. 

 

9 Steps to Master Data Science with a Collection of Harvard Courses

 

Link: 9 Free Harvard Courses to Learn Data Science - KDnuggets

It outlines a data science learning roadmap consisting of 9 free courses offered by Harvard. It starts with learning programming basics in either R or Python, followed by courses on data visualization, probability, statistics, and productivity tools. It then covers data pre-processing techniques, linear regression, and machine learning concepts. The final step involves a capstone project that allows learners to apply the knowledge gained from the previous courses to a hands-on data science project.

 

Conclusion

 

Free online courses from top universities are an incredible resource for anyone looking to break into the field of data science or upgrade their current skills. This curated collection contains a list of courses that covers all the key areas - from core computer science and programming with Python, to databases and SQL, data analytics, machine learning, and full data science curricula. With courses taught by world-class professors, you can gain comprehensive knowledge and hands-on experience with the latest data science tools and techniques used in industry.
 
 

Abid Ali Awan (@1abidaliawan) is a certified data scientist professional who loves building machine learning models. Currently, he is focusing on content creation and writing technical blogs on machine learning and data science technologies. Abid holds a Master's degree in technology management and a bachelor's degree in telecommunication engineering. His vision is to build an AI product using a graph neural network for students struggling with mental illness.