109 Free Data Science Courses

Information technology allows you to get incredibly cool educational resources in one click. Is free.

I’m now solving the problem of how to choose the one that is worth trying first of all from the huge mass of vital content, how to “mark up the data” so that the neural network from the younger generation learns more effectively. (ontol.org, “Burnout”, “Deletion”, telegram channel)

I offer you a selection of free online courses in Data Science from the best universities in the world:

R programming from Johns Hopkins University
The Data Scientist’s Toolbox from Johns Hopkins University
The analytics edge from Massachusetts institute of technology
Getting and Cleaning Data from Johns Hopkins University
Introduction to Data Science in Python from University of michigan
Python for Data Science from University of California, San Diego
Exploratory Data Analysis from Johns Hopkins University
Introduction to Big Data from University of California, San Diego
Regression models from Johns Hopkins University
Statistical inference from Johns Hopkins University
Introduction to Computational Thinking and Data Science from Massachusetts institute of technology
Reproducible research from Johns Hopkins University
Hadoop Platform and Application Framework from University of California, San Diego
Mining massive datasets from Stanford University
Statistics and R from Harvard university
Pattern discovery in data mining from University of Illinois at Urbana-Champaign
A Crash Course in Data Science from Johns Hopkins University
Data visualization from University of Illinois at Urbana-Champaign
Statistical Thinking for Data Science and Analytics from Columbia university
Developing data products from Johns Hopkins University
Building a Data Science Team from Johns Hopkins University
Probability and Statistics in Data Science using Python from University of California, San Diego
Data Analysis for Social Scientists from Massachusetts institute of technology
Text Mining and Analytics from University of Illinois at Urbana-Champaign
Data science in real life from Johns Hopkins University
Data Science: R Basics from Harvard university
Managing data analysis from Johns Hopkins University
Applied Plotting, Charting & Data Representation in Python from University of michigan
Cluster analysis in data mining from University of Illinois at Urbana-Champaign
Foundations of Data Analysis – Part 1: Statistics Using R from The university of texas at austin
Graph Analytics for Big Data from University of California, San Diego
People analytics from University of Pennsylvania
SP20: Computing for Data Analysis from Georgia Institute of Technology
The R Programming Environment from Johns Hopkins University
FA19: Deterministic Optimization from Georgia Institute of Technology
Introduction to Analytics Modeling from Georgia Institute of Technology
Data Manipulation at Scale: Systems and Algorithms from University of washington
Data Science: Visualization from Harvard university
High-dimensional data analysis from Harvard university
Introduction to Systematic Review and Meta-Analysis from Johns Hopkins University
Big Data Modeling and Management Systems from University of California, San Diego
Big Data Integration and Processing from University of California, San Diego
Data Science: Linear Regression from Harvard university
Data Science: Machine Learning from Harvard university
Applied Social Network Analysis in Python from University of michigan
Building r packages from Johns Hopkins University
Foundations of Data Science: Computational Thinking with Python from University of California, Berkeley
Communicating Data Science Results from University of washington
Causal Diagrams: Draw Your Assumptions Before Your Conclusions from Harvard university
Case study: DNA methylation data analysis from Harvard university
Foundations of Data Analysis – Part 2: Inferential Statistics from The university of texas at austin
Framework for Data Collection and Analysis from University of Maryland, College Park
数据挖掘：理论与算法 | Data Mining: Theories and Algorithms for Tackling Big Data from Tsinghua University
Data Analytics Foundations for Accountancy I from University of Illinois at Urbana-Champaign
Successfully Evaluating Predictive Modelling from University of edinburgh
Silicon Photonics Design, Fabrication and Data Analysis from The university of british columbia
Data Science: Inference and Modeling from Harvard university
Data Science: Probability from Harvard university
Data Science: Productivity Tools from Harvard university
Data Science: Wrangling from Harvard university
Advanced Linear Models for Data Science 1: Least Squares from Johns Hopkins University
Advanced Linear Models for Data Science 2: Statistical Linear Models from Johns Hopkins University
Research Data Management and Sharing from The University of North Carolina at Chapel Hill
Big data and education from Columbia university
Big Data Analysis with Scala and Spark from École Polytechnique Fédérale de Lausanne
Basic data processing and visualization from University of California, San Diego
Information Visualization: Applied Perception from New York University (NYU)
Information Visualization: Foundations from New York University (NYU)
Information Visualization: Programming with D3.js from New York University (NYU)
Information Visualization: Advanced Techniques from New York University (NYU)
Data Science: Capstone from Harvard university
Capstone Exam for Statistics and Data Science from Massachusetts institute of technology
Advanced r programming from Johns Hopkins University
Foundations of Data Science: Inferential Thinking by Resampling from University of California, Berkeley
Data, Models and Decisions in Business Analytics from Columbia university
Code Free Data Science from University of California, San Diego
SP20: Data Analytics for Business from Georgia Institute of Technology
Data Science in Stratified Healthcare and Precision Medicine from University of edinburgh
Predictive Analytics using Machine Learning from University of edinburgh
Statistical Predictive Modeling and Applications from University of edinburgh
人群与网络 from Peking university
医学统计学与 SPSS 软件（基础篇） from Peking university
Combining and Analyzing Complex Data from University of Maryland, College Park
Dealing With Missing Data from University of Maryland, College Park
数据科学导论 | Data Science: A New Way of Thinking from Tsinghua University
Data Science for Construction, Architecture and Engineering from National university of singapore
Statistical Computing with R – a gentle introduction from University college london
Principles, Statistical and Computational Tools for Reproducible Data Science from Harvard university
Data Analysis in Social Science-Assessing Your Knowledge from Massachusetts institute of technology
Sampling People, Networks and Records from University of michigan
مجموعة أدوات عالم البيانات from Johns Hopkins University
Meaningful Predictive Modeling from University of California, San Diego
Introduction to Accounting Data Analytics and Visualization from University of Illinois at Urbana-Champaign
Data Modeling and Regression Analysis in Business from University of Illinois at Urbana-Champaign
Introduction to Predictive Analytics using Python from University of edinburgh
Delivering Research Data Management Services from University of edinburgh
Image Processing and Analysis for Life Scientists from École Polytechnique Fédérale de Lausanne
Data Analysis Essentials from Imperial College London
Big Data Analytics Using Spark from University of California, San Diego
مقدمة عن البيانات الضخمة from University of California, San Diego
Big Data Analytics in Healthcare from Georgia Institute of Technology
Big Data Analytics in Healthcare from Georgia Institute of Technology
高级大数据系统 | Advanced Big Data Systems from Tsinghua University
Big data and Language 1 from Korea Advanced Institute of Science and Technology
Big data and Language 2 from Korea Advanced Institute of Science and Technology
Building data visualization tools from Johns Hopkins University
Data analysis and visualization from Georgia Institute of Technology
3D Data Visualization for Science Communication from University of Illinois at Urbana-Champaign
数据可视化 | Data Visualization from Tsinghua University

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