Top 10 Computer Courses After 12th 

CS50: Introduction to Computer Science by Harvard University

This is a free introductory course that teaches computer science fundamentals including programming in C, Python, SQL, and JavaScript. 

Machine Learning by Andrew Ng 

This is a popular online course on Coursera that provides an in-depth introduction to machine learning and covers topics such as supervised and unsupervised learning 

Data Science Essentials by Microsoft 

This is a comprehensive course that teaches data science fundamentals including data analysis, statistics, machine learning, and data visualization using Microsoft Excel, Power BI, and R. 

Applied Data Science with Python by University of Michigan 

This is a specialization course on Coursera that covers Python programming, data manipulation, data analysis, and machine learning. 

Data Structures and Algorithms by UC San Diego 

This is a free course that covers data structures and algorithms including arrays, linked lists, stacks, queues, trees, and graphs. 

Python for Data Science by IBM 

This is a beginner-friendly course that teaches Python programming and data science fundamentals including data cleaning, data analysis, and data visualization. 

Deep Learning Specialization by Andrew Ng 

This is a series of courses on Coursera that covers deep learning concepts such as convolutional neural networks, recurrent neural networks, and natural language processing. 

SQL for Data Analysis by Mode 

This is a free course that teaches SQL for data analysis including SQL basics, data filtering, data aggregation, and data visualization. 

Computer Science for Everyone by University of California, San Diego 

This is a free course that teaches computer science concepts including programming, algorithms, data structures, and databases. 

Data Science Specialization by Johns Hopkins University 

This is a series of courses on Coursera that covers data science topics including data analysis, data visualization, machine learning, and statistical inference. 

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