Blog, Courses, Uncategorized Free Data Science Courses available from Coursera. February 18, 2017 No Comments Below, it is a list of data science-related courses from Coursera, I hope you will find it useful: Introduction to Data Science in Python – University of Michigan The Data Scientist’s Toolbox – Johns Hopkins University R Programming – Johns Hopkins University Getting and Cleaning Data – Johns Hopkins University Exploratory Data Analysis – Johns Hopkins University Reproducible Research – Johns Hopkins University Statistical Inference – Johns Hopkins University Regression Models – Johns Hopkins University Practical Machine Learning – Johns Hopkins University Developing Data Products – Johns Hopkins University Introduction to Genomic Technologies – Johns Hopkins University Genomic Data Science with Galaxy – Johns Hopkins University Python for Genomic Data Science – Johns Hopkins University Command Line Tools for Genomic Data Science – Johns Hopkins University Algorithms for DNA Sequencing – Johns Hopkins University Bioconductor for Genomic Data Science – Johns Hopkins University Statistics for Genomic Data Science – Johns Hopkins University Machine Learning Foundations: A Case Study Approach – University of Washington Regression – University of Washington Classification – University of Washington Clustering & Retrieval – University of Washington Communicating Data Science Results – University of Washington Practical Predictive Analytics: Models and Methods – University of Washington Data Manipulation at Scale: Systems and Algorithms – University of Washington Introduction to Probability and Data – Duke University Inferential Statistics – Duke University Linear Regression and Modelings – Duke University Bayesian Statistics – Duke University Introduction to Big Data – University of California Big Data Modeling and Management Systems – University of California Big Data Integration and Processing – University of California Machine Learning with Big Data – University of California Graph Analytics for Big Data – University of California Genomic Data Science and Clustering – University of California Data Visualization – University of Illinois at Urbana-Champaign Text Retrieval and Search Engines – University of Illinois at Urbana-Champaign Text Mining and Analytics – University of Illinois at Urbana-Champaign Pattern Discovery in Data Mining – University of Illinois at Urbana-Champaign Cluster Analysis in Data Mining – University of Illinois at Urbana-Champaign Data Management and Visualization – Wesleyan University Data Analysis Tools – Wesleyan University Regression Modeling in Practice – Wesleyan University Machine Learning for Data Analysis – Wesleyan University Introduction to Recommender Systems: Non-Personalized and Content-Based – University of Minnesota Nearest Neighbor Collaborative Filtering – University of Minnesota Recommender Systems: Evaluation and Metrics – University of Minnesota Matrix Factorization and Advanced Techniques – University of Minnesota Process Mining: Data science in Action – Eindhoven University of Technology Share this:Click to share on Twitter (Opens in new window)Click to share on Facebook (Opens in new window)Click to share on Google+ (Opens in new window)Like this:Like Loading... Related data science coursedata science courseradata science tutorialfree data science coursemachine learning course Previous Post Next Post You may also like April 1, 2017 What is Estimation? March 26, 2017 What is ANOVA – Analysis of variance? April 1, 2017 What is Lazy Learning in machine learning? Leave a Reply Cancel reply Your email address will not be published. Required fields are marked *Comment Name * Email * Website Notify me of follow-up comments by email. Notify me of new posts by email.