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