109 бесплатных курсов по Data Science

Информационные технологии позволяют получить невероятно крутые образовательные ресурсы в один клик. Бесплатно.

Я сейчас решаю задачу, как из огромной массы жизненно важного контента выбрать тот, который стоит попробовать в первую очередь, как «разметить данные», чтобы нейросеточка у подрастающего поколения обучилась более эффективно. (ontol.org, «Выгорание», «Удаленка», телеграмм-канал).

Предлагаю вам подборку бесплатных онлайн-курсов по Data Science от лучших университетов в мире:

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

Узнайте подробности, как получить востребованную профессию с нуля или Level Up по навыкам и зарплате, пройдя онлайн-курсы SkillFactory:

• Курс «Профессия Data Scientist» (24 месяца)
• Курс «Профессия Data Analyst» (18 месяцев)
• Курс «Python для веб-разработки» (9 месяцев)

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