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*

Learn the details of how to get a sought-after profession from scratch or Level Up in skills and salary by taking SkillFactory online courses:

- Data Scientist Profession Course (24 months)
- Profession Data Analyst Course (18 months)
- Python for Web Development Course (9 months)

### Read more

- 450 free courses from the Ivy League
- Free Data Science Courses from Harvard University
- 30 life hacks to complete the online course
- The most successful and most scandalous Data Science project: Cambridge Analytica

## 0 Comments