Top 100 Coursera Data Science 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 100 Data Science courses
| Machine Learning Machine learning is the science of getting computers to act without being explicitly programmed | Stanford University | 7 reddit posts 1190 mentions |
| Data Science Launch Your Career in Data Science | Johns Hopkins University | 10 reddit posts 576 mentions |
| Deep Learning AI | DeepLearning.AI | 2 reddit posts 253 mentions |
| Data Science Enroll for free | Johns Hopkins University | 4 reddit posts 176 mentions |
| Statistics with R Master Statistics with R | Duke University | 2 reddit posts 139 mentions |
| Applied Data Science with Python Gain new insights into your data | University of Michigan | 0 reddit posts 140 mentions |
| Google Data Analytics This is your path to a career in data analytics | 0 reddit posts 47 mentions | |
| Genomic Data Science Be a next generation sequencing data scientist | Johns Hopkins University | 1 reddit posts 76 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 |
| R Programming In this course you will learn how to program in R and how to use R for effective data analysis | Johns Hopkins University | 2 reddit posts 123 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 |
| Data Science at Scale Tackle Real Data Challenges | University of Washington | 1 reddit posts 45 mentions |
| Improving your statistical inferences This course aims to help you to draw better statistical inferences from empirical research | Eindhoven University of Technology | 1 reddit posts 46 mentions |
| Neural Networks and Deep Learning AI | DeepLearning.AI | 0 reddit posts 29 mentions |
| Maps and the Geospatial Revolution Learn how advances in geospatial technology and analytical methods have changed how we do | The Pennsylvania State University | 2 reddit posts 24 mentions |
| The Data Scientist’s Toolbox In this course you will get an introduction to the main tools and ideas in the data scientist's | Johns Hopkins University | 0 reddit posts 23 mentions |
| Data Warehousing for Business Intelligence Harness Business Data | University of Colorado System | 0 reddit posts 22 mentions |
| Big Data Unlock Value in Massive Datasets | University of California San Diego | 3 reddit posts 23 mentions |
| Introduction to Data Science in Python This course will introduce the learner to the basics of the python programming environment, including | University of Michigan | 0 reddit posts 32 mentions |
| How to Win a Data Science Competition If you want to break into competitive data science, then this course is for you | HSE University | 1 reddit posts 14 mentions |
| Geographic Information Systems (GIS) Map Your World With GIS | University of California, Davis | 1 reddit posts 72 mentions |
| Convolutional Neural Networks AI | DeepLearning.AI | 1 reddit posts 14 mentions |
| Basic Statistics Understanding statistics is essential to understand research in the social and behavioral sciences | University of Amsterdam | 0 reddit posts 20 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 |
| Survey Data Collection and Analytics Collect and analyze data, and communicate results | University of Maryland, College Park | 0 reddit posts 16 mentions |
| SQL for Data Science As data collection has increased exponentially, so has the need for people skilled at using and | University of California, Davis | 0 reddit posts 12 mentions |
| Neuroscience and Neuroimaging Familiarize yourself with fundamental concepts in neuroscience, like Functional Magnetic Resonance | Johns Hopkins University | 2 reddit posts 21 mentions |
| Getting and Cleaning Data Before you can work with data you have to get some | Johns Hopkins University | 2 reddit posts 7 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 |
| Data Visualization with Tableau Visualize Business Data with Tableau | University of California, Davis | 0 reddit posts 13 mentions |
| Applied Machine Learning in Python This course will introduce the learner to applied machine learning, focusing more on the techniques and | University of Michigan | 0 reddit posts 12 mentions |
| Exploratory Data Analysis This course covers the essential exploratory techniques for summarizing data | Johns Hopkins University | 0 reddit posts 7 mentions |
| Python for Genomic Data Science This class provides an introduction to the Python programming language and the iPython notebook | Johns Hopkins University | 0 reddit posts 8 mentions |
| Data Analysis and Interpretation Learn Data Science Fundamentals | Wesleyan University | 0 reddit posts 15 mentions |
| Sequence Models AI | DeepLearning.AI | 1 reddit posts 7 mentions |
| A Crash Course in Causality We have all heard the phrase “correlation does not equal causation | University of Pennsylvania | 0 reddit posts 10 mentions |
| Regression Models Linear models, as their name implies, relates an outcome to a set of predictors of interest using | Johns Hopkins University | 0 reddit posts 6 mentions |
| Introduction to Probability and Data with R This course introduces you to sampling and exploring data, as well as basic probability theory and Bayes' rule | Duke University | 0 reddit posts 10 mentions |
| Business Statistics and Analysis Build Data Analysis and Business Modeling Skills | Rice University | 0 reddit posts 10 mentions |
| IBM Data Science Kickstart your career in data science & ML | IBM | 1 reddit posts 111 mentions |
| Text Mining and Analytics This course will cover the major techniques for mining and analyzing text data to | University of Illinois at Urbana-Champaign | 2 reddit posts 5 mentions |
| Mastering Software Development in R Build better data science tools | Johns Hopkins University | 0 reddit posts 10 mentions |
| Algorithms for DNA Sequencing We will learn computational methods -- algorithms and data structures -- for analyzing DNA sequencing | Johns Hopkins University | 0 reddit posts 6 mentions |
| Data Engineering, Big Data, and Machine Learning on GCP Data Engineering on Google Cloud | Google Cloud | 2 reddit posts 14 mentions |
| Bayesian Statistics This course introduces the Bayesian approach to statistics, starting with the concept of | University of California, Santa Cruz | 0 reddit posts 9 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 |
| Data Analysis with Python Learn how to analyze data using Python | IBM | 0 reddit posts 10 mentions |
| Introduction to Neurohacking In R Neurohacking describes how to use the R programming language (https://cran | Johns Hopkins University | 2 reddit posts 6 mentions |
| Experimentation for Improvement We are always using experiments to improve our lives, our community, and our work | McMaster University | 0 reddit posts 5 mentions |
| Command Line Tools for Genomic Data Science Introduces to the commands that you need to manage and analyze directories, files, and large sets of | Johns Hopkins University | 0 reddit posts 4 mentions |
| Introduction to Genomic Technologies This course introduces you to the basic biology of modern genomics and the experimental tools that we | Johns Hopkins University | 0 reddit posts 4 mentions |
| Practical Time Series Analysis Welcome to Practical Time Series Analysis | The State University of New York | 0 reddit posts 8 mentions |
| Managing Big Data with MySQL This course is an introduction to how to use relational databases in business analysis | Duke University | 0 reddit posts 8 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 |
| Mathematical Biostatistics Boot Camp 2 Learn fundamental concepts in data analysis and statistical inference, focusing on one and two | Johns Hopkins University | 0 reddit posts 5 mentions |
| Process Mining Process mining is the missing link between model-based process analysis and data-oriented | Eindhoven University of Technology | 0 reddit posts 8 mentions |
| Julia Scientific Programming This four-module course introduces users to Julia as a first language | University of Cape Town | 2 reddit posts 4 mentions |
| Data Visualization Learn the general concepts of data mining along with basic methodologies and | University of Illinois at Urbana-Champaign | 0 reddit posts 7 mentions |
| Text Retrieval and Search Engines Recent years have seen a dramatic growth of natural language text data, including web | University of Illinois at Urbana-Champaign | 0 reddit posts 4 mentions |
| Principles of fMRI 1 Functional Magnetic Resonance Imaging (fMRI) is the most widely used technique for investigating the | Johns Hopkins University | 0 reddit posts 7 mentions |
| Bayesian Statistics This course describes Bayesian statistics, in which one's inferences about parameters or hypotheses are updated | Duke University | 1 reddit posts 5 mentions |
| Reproducible Research This course focuses on the concepts and tools behind reporting modern data analyses in a reproducible | Johns Hopkins University | 0 reddit posts 7 mentions |
| Econometrics Welcome | Erasmus University Rotterdam | 0 reddit posts 8 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 |
| Introduction to Big Data Interested in increasing your knowledge of the Big Data landscape? This course is for those | University of California San Diego | 0 reddit posts 6 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 |
| Introduction to Data Analysis Using Excel The use of Excel is widespread in the industry | Rice University | 0 reddit posts 6 mentions |
| Data Visualization and Communication with Tableau One of the skills that characterizes great business data analysts is the ability to communicate practical | Duke University | 0 reddit posts 5 mentions |
| A Crash Course in Data Science By now you have definitely heard about data science and big data | Johns Hopkins University | 1 reddit posts 4 mentions |
| Inferential Statistics This course covers commonly used statistical inference methods for numerical and categorical data | Duke University | 0 reddit posts 6 mentions |
| Improving Deep Neural Networks AI | DeepLearning.AI | 0 reddit posts 5 mentions |
| Business Analytics Make Data-Driven Business Decisions | University of Pennsylvania | 0 reddit posts 18 mentions |
| Data Manipulation at Scale Data analysis has replaced data acquisition as the bottleneck to evidence-based decision making --- we | University of Washington | 0 reddit posts 4 mentions |
| Cluster Analysis in Data Mining Discover the basic concepts of cluster analysis, and then study a set of typical | University of Illinois at Urbana-Champaign | 0 reddit posts 2 mentions |
| Math behind Moneyball Learn how probability, math, and statistics can be used to help baseball, football and basketball teams | University of Houston | 1 reddit posts 3 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 |
| Bayesian Statistics This is the second of a two-course sequence introducing the fundamentals of Bayesian | University of California, Santa Cruz | 0 reddit posts 5 mentions |
| Applied Social Network Analysis in Python This course will introduce the learner to network analysis through tutorials using the NetworkX library | University of Michigan | 0 reddit posts 4 mentions |
| Hadoop Platform and Application Framework This course is for novice programmers or business people who would like to understand the | University of California San Diego | 0 reddit posts 3 mentions |
| An Intuitive Introduction to Probability This course will provide you with a basic, intuitive and practical introduction into Probability Theory | University of Zurich | 0 reddit posts 4 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 |
| Structuring Machine Learning Projects AI | DeepLearning.AI | 0 reddit posts 5 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 |
| Applied Text Mining in Python This course will introduce the learner to text mining and text manipulation basics | University of Michigan | 0 reddit posts 3 mentions |
| Mastering Data Analysis in Excel Important: The focus of this course is on math - specifically, data-analysis concepts and methods - not on Excel | Duke University | 0 reddit posts 4 mentions |
| Structural Equation Model and its Applications | 结构方程模型及其应用 (普通话) | The Chinese University of Hong Kong | 0 reddit posts 1 mentions |
| Interprofessional Healthcare Informatics Interprofessional Healthcare Informatics is a graduate-level, hands-on interactive exploration of real | University of Minnesota | 0 reddit posts 1 mentions |
| Data-driven Decision Making Welcome to Data-driven Decision Making | PwC | 0 reddit posts 3 mentions |
| Statistics for Genomic Data Science An introduction to the statistics behind the most popular genomic data science projects | Johns Hopkins University | 0 reddit posts 3 mentions |
| Data Mining Project Note: You should complete all the other courses in this Specialization before | University of Illinois at Urbana-Champaign | 0 reddit posts 1 mentions |
| Data Visualization with Advanced Excel In this course, you will get hands-on instruction of advanced Excel 2013 functions | PwC | 0 reddit posts 3 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 |
| Business Intelligence Concepts, Tools, and Applications This is the fourth course in the Data Warehouse for Business Intelligence specialization | University of Colorado System | 0 reddit posts 1 mentions |
| Machine Learning with TensorFlow on Google Cloud Learn ML with Google Cloud | Google Cloud | 0 reddit posts 10 mentions |
| Digital Marketing Analytics in Theory Successfully marketing brands today requires a well-balanced blend of art and | University of Illinois at Urbana-Champaign | 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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