There are a lot of online courses floating about. Some absolutely horrendous with typos, incomprehensible, outdated, questionable instructors, and sometimes incorrect theory. Sifting through all the barrage of nonsensical and poorly delivered courses can be a drag. Here are some that are CS, AI, Knowledge Graph, Data Science, and Network Science related courses that seem to fit the par on most of the core materials and theory coverage with some good practical understanding. In most cases. the MIT opencourseware courses are unmatched by other providers as they directly have archived coverage of the full taught course which seem to be extensive and thorough in nature.
MIT OpenCourseWare :
- Affective Computing
- Artificial Intelligence
- Artificial Intelligence and Machine Learning
- Advanced Natural Language Processing
- Automatic Speech Recognition
- Brain and Cognitive Sciences
- Commonsense Reasoning and Applications
- Computational Thinking in Data Science
- Computational Models of Discourse
- Cooperative Machines
- Conversational Computer Systems
- Blockchain and Money
- Brains, Minds, and Machines
- Minds and Machines
- Decision Making
- Ethics for Engineers in AI
- Game Theory
- Game Theory and Engineering Applications
- Game Theory for Strategic Advantage
- Human Brain
- Introduction to Algorithms
- Introduction to Network Models
- Introduction to Probability and Statistics
- Natural Language and Computational Representation of Knowledge
- Networks
- Networks, Complexity, and Applications
- Quantum Information Science1
- Quantum Information Science2
- Social Theory and Analysis
- Introduction to Machine Learning
- Machine Learning
- Introduction to Deep Learning
- Introduction to Computer Science and Programming in Python
- Time Series Analysis
- Distributed Algorithms
- Statistical Learning Theory and Applications
- Machine Vision
- Data Mining
- Theory of Computation
- Mathematics of Big Data and Machine Learning
- Cognitive Robotics
- Fundamentals of Statistics
- Multivariate Calculus
- Calculus
- Information Theory
- Communicating with Data
- Computational Structures
- Advanced Complexity Theory
- Computer Systems Architecture
- Computer Systems Engineering
- Cryptocurrency Engineering and Design
- Database Systems
- Distributed Computer Systems Engineering
- Exploring Fairness in Machine Learning for International Development
- Introduction to Computational Thinking
- Knowledge-Based Application Systems
- Linear Algebra
- Mathematics for Computer Science
- Operating Systems Engineering
- Principles of Computer Systems
- Principles of Discrete Applied Mathematics
- Probabilistic Methods in Combinatorics
- Software Construction
- Theory of Probability
- Network Flows
- Parallel Computing
- Elements of Software Construction
- Algorithmic Biology
Stanford Online - Coursera :
- NLP with Deep Learning (Manning)
- Deep Learning (Ng)
- Machine Learning (Ng)
- Game Theory
- Probabilistic Graphical Models
- Algorithms
- Social and Economic Networks: Models and Analysis
- Information Retrieval and Web Search
OpenHPI :
- Linked Data Engineering
- Knowledge Graphs
- Knowledge Engineering with Semantic Web Technologies
- Semantic Web Technologies
Deeplearning.ai - Coursera :
- NLP
- GAN
- Machine Learning for Production
- Deep Learning
- Practical Data Science on AWS
- Build, Train, Deploy ML Pipelines Using Bert
- Optimize ML Models and Deploy Human-in-the-Loop Pipelines
- Analyze Datasets and Train ML Models using AutoML
Alberta - Coursera :
- Reinforcement Learning
Davis - Coursera :
- Computational Social Science
UIUC - Coursera :
- Cloud Computing
- Data Mining
- Accelerated Computer Science Fundamentals
UMich - Coursera :
- Recommender Systems
- Python - Python 3
- Python - Statistics with Python
- Python - Applied Data Science with Python
- Sports Performance Analytics
JHU - Coursera :
- GPU Programming
- Data Science
- Genomics Data Science
San Diego - Coursera :
- Big Data
- Data Structures and Algorithms
- Bioinformatics
Duke - Coursera :
- Cloud Computing at Scale
Buffalo - Coursera :
- Blockchain
Washington - Coursera :
- ML
CMU - Emeritus Executive Learning :
- NLP
- Deep Learning
- ML
- DevOps
- Data Structures
- AI
- Fundamentals of Software Engineering
- Computer Vision
- Business Analytics
- Practical Guide to Trading - Interactive Brokers
- Investment and Portfolio Management - Rice
- ML and Reinforcement Learning in Finance - NYU
- Amazon Web Services - Learning and Implementing AWS Solution - Udemy
- Amazon Web Services - Zero to Hero - Udemy
- AWS Fundamentals: Migrating to the Cloud - Coursera
- Cloud Computing with Amazon Web Services - Udemy
- AWS Certified Solutions Architect Associate - Udemy
- Hands-On Machine Learning with AWS and NVidia - Coursera
- Introduction to Designing Data Lakes on AWS - Coursera
- AI, Data Science, Programming, Cloud Computing Specialisms
