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All Saved Courses

Level Course Title University Provider
CS295 Algorithms Saylor Saylor
CS295 Analysis of Algorithms Princeton University Coursera
CS380 Introduction to Data Science University of Washington Coursera
CS385 Developing Data Products Johns Hopkins University Coursera
CS404 Pattern Discovery in Data Mining University of Illinois at Urbana-Champaign Coursera
CS406 Cluster Analysis in Data Mining University of Illinois at Urbana-Champaign Coursera
CS407 Text Mining and Analytics University of Illinois at Urbana-Champaign Coursera
CS408 Data Visualization University of Illinois at Urbana-Champaign Coursera
CS413 Mining Massive Datasets Stanford University Coursera
CS485 Learning From Data Caltech EdX
CS485 Machine Learning Stanford University Coursera
ECON311 Econometrics Saylor Saylor
FIN485 Introduction to Computational Finance and Financial Econometrics University of Washington Coursera
FIN485 Computational Investing, Part I Georgia Institute of Technology Coursera
MATH187 Math in Sports NotreDame EdX
MATH212 Linear Regression Analysis IIT Kanpur NPTEL
MATH427 Coding the Matrix: Linear Algebra through Computer Science Applications Brown University Coursera
MRKT372 Big Data for Better Performance Open2Study Open2Study
STATS120 Statistics: Making Sense of Data University of Toronto Coursera
STATS120 I "Heart" Stats: Learning to Love Statistics NotreDame EdX
STATS202 Intro to Descriptive Statistics Udacity Udacity
STATS205 Intro to Statistics Udacity Udacity
STATS273 Explore Statistics with R Karolinska Institutet EdX
STATS304 Intro to Data Science Udacity Udacity
STATS304 The Data Scientist’s Toolbox Johns Hopkins University Coursera
STATS305 R Programming Johns Hopkins University Coursera
STATS310 Regression Models Johns Hopkins University Coursera
STATS375 Passion Driven Statistics Wesleyan University Coursera
STATS375 Getting and Cleaning Data Johns Hopkins University Coursera
STATS376 Data Visualization and D3.js Udacity Udacity
STATS378 Data to Insight: An Introduction to Data Analysis The University of Auckland FutureLearn
STATS378 Foundations of Data Analysis UTAustin EdX
STATS378 Core Concepts in Data Analysis Higher School of Economics Coursera
STATS378 Data Analysis and Statistical Inference Duke University Coursera
STATS380 Computing for Data Analysis Johns Hopkins University Coursera
STATS380 Data Analysis Johns Hopkins University Coursera
STATS380 Data Analysis with R Udacity Udacity
STATS380 Exploratory Data Analysis Johns Hopkins University Coursera
STATS380 Computational Methods for Data Analysis University of Washington Coursera
STATS380 Introduction to Computational Thinking and Data Science MIT EdX
STATS380 The Analytics Edge MIT EdX
STATS385 Data Wrangling with MongoDB Udacity Udacity
STATS389 Sabermetrics 101: Introduction to Baseball Analytics Boston University EdX
STATS405 Practical Machine Learning Johns Hopkins University Coursera
STATS436 Model Building and Validation Udacity Udacity
STATS442 Process Mining: Data science in Action Eindhoven University of Technology Coursera