Top Coursera Machine Learning courses by Reddit Upvotes
Reddit is a social media and news aggregation website that ranks content based on a voting system. People worldwide post content (usually links, but also original content), and other users can “upvote” or “downvote” posts, pushing the most interesting content to the top.
It’s a place where you can find groups of like-minded people. Reddit calls these groups subreddits, and they cover different topics, including niche interests, politics, hobbies, and thousands of other topics people want to talk about.
Since its launch in 2005, the site has become one of the most popular social media sites with millions of monthly active users.
We've conducted analyses to find the best of Coursera from the depths of Reddit. This analysis has been conducted over 2.7 million Reddit upvotes.
Table of Contents
Top Machine Learning courses
Machine Learning Machine learning is the science of getting computers to act without being explicitly programmed Stanford University | 7 reddit posts 1190 mentions |
Deep Learning AI DeepLearning.AI | 2 reddit posts 253 mentions |
Machine Learning Build Intelligent Applications University of Washington | 1 reddit posts 76 mentions |
Data Mining Analyze Text, Discover Patterns, Visualize Data University of Illinois at Urbana-Champaign | 4 reddit posts 37 mentions |
DeepLearning.AI TensorFlow Developer AI DeepLearning.AI | 2 reddit posts 58 mentions |
Probabilistic Graphical Models Probabilistic Graphical Models Stanford University | 3 reddit posts 65 mentions |
Advanced Machine Learning Deep Dive Into The Modern AI Techniques HSE University | 3 reddit posts 61 mentions |
Probabilistic Graphical Models 1 Probabilistic graphical models (PGMs) are a rich framework for encoding probability distributions over Stanford University | 2 reddit posts 52 mentions |
Computational Neuroscience This course provides an introduction to basic computational methods for understanding what nervous University of Washington | 4 reddit posts 56 mentions |
Neural Networks and Deep Learning AI DeepLearning.AI | 0 reddit posts 29 mentions |
Convolutional Neural Networks AI DeepLearning.AI | 1 reddit posts 14 mentions |
Practical Machine Learning One of the most common tasks performed by data scientists and data analysts are prediction and machine Johns Hopkins University | 0 reddit posts 15 mentions |
The Unix Workbench Unix forms a foundation that is often very helpful for accomplishing other goals you might have for you Johns Hopkins University | 0 reddit posts 12 mentions |
Sequence Models AI DeepLearning.AI | 1 reddit posts 7 mentions |
Data Engineering, Big Data, and Machine Learning on GCP Data Engineering on Google Cloud Google Cloud | 2 reddit posts 14 mentions |
Bayesian Methods for Machine Learning People apply Bayesian methods in many areas: from game development to drug discovery HSE University | 0 reddit posts 9 mentions |
Machine Learning Foundations Do you have data and wonder what it can tell you? Do you need a deeper understanding of the core ways University of Washington | 0 reddit posts 6 mentions |
Введение в машинное обучение Не так давно получил распространение термин «большие данные», обозначивший новую прикладную область — поиск способов автоматического HSE University | 0 reddit posts 2 mentions |
Natural Language Processing This online course covers a wide range of tasks in Natural Language Processing from basic to advanced: sentiment HSE University | 0 reddit posts 7 mentions |
Improving Deep Neural Networks AI DeepLearning.AI | 0 reddit posts 5 mentions |
Machine Learning with Python This course dives into the basics of machine learning using an approachable, and well-known programming language, Python IBM | 0 reddit posts 6 mentions |
Machine Learning Case Studies: Analyzing Sentiment & Loan Default Prediction In our case study on analyzing sentiment, University of Washington | 0 reddit posts 3 mentions |
Getting Started with AWS Machine Learning Machine learning (ML) is one of the fastest growing areas in technology and a highly sought after skillset Amazon Web Services | 0 reddit posts 12 mentions |
Introduction to Deep Learning The goal of this online course is to give learners basic understanding of modern neural networks and their HSE University | 0 reddit posts 3 mentions |
Machine Learning with TensorFlow on Google Cloud Learn ML with Google Cloud Google Cloud | 0 reddit posts 10 mentions |
Machine Learning Case Study - Predicting Housing Prices In our first case study, predicting house prices, you will University of Washington | 0 reddit posts 2 mentions |
Reinforcement Learning Master the Concepts of Reinforcement Learning University of Alberta | 1 reddit posts 33 mentions |
Reinforcement Learning in Finance This course aims at introducing the fundamental concepts of Reinforcement Learning (RL), and develop use New York University | 0 reddit posts 2 mentions |
Applied AI with DeepLearning >>> By enrolling in this course you agree to the End User License Agreement as set out in the FAQ IBM | 0 reddit posts 1 mentions |
Sequences, Time Series and Prediction AI DeepLearning.AI | 0 reddit posts 3 mentions |
Fundamentals of Machine Learning in Finance The course aims at helping students to be able to solve practical ML-amenable problems that they may New York University | 0 reddit posts 1 mentions |
Convolutional Neural Networks in TensorFlow AI DeepLearning.AI | 1 reddit posts 0 mentions |
Google Cloud Big Data and Machine Learning Fundamentals This course introduces participants to the big data capabilities of Google Cloud Google Cloud | 0 reddit posts 4 mentions |
Natural Language Processing in TensorFlow AI DeepLearning.AI | 0 reddit posts 4 mentions |
Recommender Systems Master recommender systems University of Minnesota | 0 reddit posts 11 mentions |
Production Machine Learning Systems This course covers how to implement the various flavors of production ML systems— static, dynamic, and continuous Google Cloud | 0 reddit posts 3 mentions |
Advanced Data Science with IBM Expert in Data Science, Machine Learning and AI IBM | 0 reddit posts 9 mentions |
Introduction to Artificial Intelligence (AI) In this course you will learn what Artificial Intelligence (AI) is, explore use cases and applications of AI, understand AI IBM | 0 reddit posts 1 mentions |
IBM AI Engineering Launch your career as an AI engineer IBM | 0 reddit posts 11 mentions |
Preparing for Google Cloud Certification Advance your career in data engineering Enroll for free Google Cloud | 0 reddit posts 10 mentions |
Image Understanding with TensorFlow on GCP This is the third course of the Advanced Machine Learning on GCP specialization Google Cloud | 0 reddit posts 1 mentions |
Computer Simulations Big data and artificial intelligence get most of the press about computational social science, University of California, Davis | 0 reddit posts 2 mentions |
Managing Machine Learning Projects with Google Cloud Business professionals in non-technical roles have a unique opportunity to lead or influence machine learning Google Cloud | 0 reddit posts 2 mentions |
Using Machine Learning in Trading and Finance This course provides the foundation for developing advanced trading strategies using machine learning techniques New York Institute of Finance | 0 reddit posts 1 mentions |
Mathematics for Machine Learning This intermediate-level course introduces the mathematical foundations to derive Principal Component Imperial College London | 0 reddit posts 3 mentions |
Introduction to TensorFlow This course is focused on using the flexibility and “ease of use” of TensorFlow 2 Google Cloud | 0 reddit posts 1 mentions |
Natural Language Processing with Classification and Vector Spaces AI DeepLearning.AI | 0 reddit posts 2 mentions |
Advanced Machine Learning and Signal Processing >>> By enrolling in this course you agree to the End User License Agreement as set out in the FAQ IBM | 0 reddit posts 1 mentions |
AI for Medical Diagnosis AI DeepLearning.AI | 0 reddit posts 1 mentions |
Natural Language Processing with Sequence Models AI DeepLearning.AI | 0 reddit posts 2 mentions |
Introduction to Computer Vision and Image Processing Computer Vision is one of the most exciting fields in Machine Learning and AI IBM | 0 reddit posts 1 mentions |
MLOps (Machine Learning Operations) Fundamentals This course introduces participants to MLOps tools and best practices for deploying, evaluating, monitoring and Google Cloud | 0 reddit posts 3 mentions |
Introduction to Recommender Systems This course, which is designed to serve as the first course in the Recommender Systems specialization, University of Minnesota | 0 reddit posts 1 mentions |
Recommendation Systems with TensorFlow on GCP In this course, you'll apply your knowledge of classification models and embeddings to build a ML pipeline that Google Cloud | 0 reddit posts 1 mentions |
Getting started with TensorFlow 2 Welcome to this course on Getting started with TensorFlow 2 Imperial College London | 0 reddit posts 1 mentions |
IBM Applied AI Kickstart your career in artificial intelligence IBM | 0 reddit posts 10 mentions |
Predictive Modeling and Machine Learning with MATLAB In this course, you will build on the skills learned in Exploratory Data Analysis with MATLAB and Data Processing and MathWorks | 0 reddit posts 1 mentions |
Reinforcement Learning for Trading Strategies In the final course from the Machine Learning for Trading specialization, you will be introduced to reinforcement learning (RL) and the New York Institute of Finance | 0 reddit posts 1 mentions |
Natural Language Processing with Attention Models AI DeepLearning.AI | 0 reddit posts 1 mentions |
Practical Reinforcement Learning Welcome to the Reinforcement Learning online course HSE University | 1 reddit posts 10 mentions |
Machine Learning Engineering for Production (MLOps) AI DeepLearning.AI | 0 reddit posts 4 mentions |
Mathematics for Machine Learning Mathematics for Machine Learning Imperial College London | 0 reddit posts 141 mentions |
TensorFlow AI DeepLearning.AI | 0 reddit posts 2 mentions |
Probabilistic Deep Learning with TensorFlow 2 Welcome to this course on Probabilistic Deep Learning with TensorFlow Imperial College London | 0 reddit posts 1 mentions |
Introduction to Machine Learning This course will provide you a foundational understanding of machine learning models (logistic regression, Duke University | 0 reddit posts 3 mentions |
Natural Language Processing AI DeepLearning.AI | 0 reddit posts 16 mentions |
TensorFlow AI DeepLearning.AI | 0 reddit posts 6 mentions |
الشبكات العصبية والتعلم العميق AI DeepLearning.AI | 0 reddit posts 1 mentions |
Machine Learning and Reinforcement Learning in Finance Reinforce Your Career: Machine Learning in Finance New York University | 0 reddit posts 11 mentions |
Foundations of Data Science Organisations all around the world are using data to predict behaviours and extract valuable real-world insights to inform decisions University of London | 0 reddit posts 1 mentions |
Fundamentals of Reinforcement Learning Reinforcement Learning is a subfield of Machine Learning, but is also a general purpose formalism for automated decision-making and AI University of Alberta | 0 reddit posts 1 mentions |
Introduction to Embedded Machine Learning Machine learning (ML) allows us to teach computers to make predictions and decisions based on data and learn from Edge Impulse | 0 reddit posts 3 mentions |
Machine Learning for Trading Start Your Career in Machine Learning for Trading Google Cloud | 0 reddit posts 4 mentions |
Guided Tour of Machine Learning in Finance This course aims at providing an introductory and broad overview of the field of ML with the focus on New York University | 0 reddit posts 1 mentions |
IBM AI Enterprise Workflow Enroll for free IBM | 0 reddit posts 1 mentions |
Build Better Generative Adversarial Networks (GANs) AI DeepLearning.AI | 0 reddit posts 1 mentions |
Advanced Machine Learning on Google Cloud Learn Advanced Machine Learning with Google Cloud Google Cloud | 0 reddit posts 7 mentions |
Build Basic Generative Adversarial Networks (GANs) AI DeepLearning.AI | 0 reddit posts 1 mentions |
AI for Medicine AI DeepLearning.AI | 0 reddit posts 4 mentions |
Specialized Models This course introduces you to additional topics in Machine Learning that complement essential tasks, including forecasting IBM | 0 reddit posts 1 mentions |
Introduction to PyMC3 for Bayesian Modeling and Inference The objective of this course is to introduce PyMC3 for Bayesian Modeling and Inference, The attendees will start off Databricks | 0 reddit posts 1 mentions |
Generative Adversarial Networks (GANs) AI DeepLearning.AI | 0 reddit posts 6 mentions |
Машинное обучение и анализ данных Машинное обучение и анализ данных Moscow Institute of Physics and Technology | 0 reddit posts 2 mentions |
Applied Data Science Get hands-on skills for a career in data science IBM | 0 reddit posts 24 mentions |
Mathematics for Machine Learning In this course on Linear Algebra we look at what linear algebra is and how it relates to vectors and Imperial College London | 0 reddit posts 29 mentions |
AI Product Management Manage the Design & Development of ML Products Duke University | 0 reddit posts 1 mentions |
Our methodology
We conducted this analysis by "ranking things based on social signals"
It's the result of mining Reddit posts and comments. The analysis looked at all (url-based) posts and comment mentions of Coursera courses on Reddit, ranking each course based on Reddit score, and showing each course with its top Reddit mentions.
Course Score is calculated with a slightly modified version of a simple popularity / age calculation.
course_score = sum(mention_scores) / course_age
Who are we
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