確率と統計

確率と統計のコースでは、データの有意性、最適化、推論、テストを理解するスキルや、データのパターンを分析して結果を予測、理解、改善するその他の方法について学習します。

...
Statistics with R
Duke University
Statistics with R
専門講座
Learn SQL Basics for Data Science
University of California, Davis
Learn SQL Basics for Data Science
専門講座
Methods and Statistics in Social Sciences
University of Amsterdam
Methods and Statistics in Social Sciences
専門講座
Business Statistics and Analysis
Rice University
Business Statistics and Analysis
専門講座
Statistics with Python
University of Michigan
Statistics with Python
専門講座
Biostatistics in Public Health
Johns Hopkins University
Biostatistics in Public Health
専門講座
Statistical Analysis with R for Public Health
Imperial College London
Statistical Analysis with R for Public Health
専門講座
Design of Experiments
Arizona State University
Design of Experiments
専門講座
Просто о статистике (с использованием R)
Saint Petersburg State University
Просто о статистике (с использованием R)
専門講座
Анализ данных
Novosibirsk State University
Анализ данных
専門講座

    確率と統計に関するよくある質問

  • Probability is the study of the likelihood an event will happen, and statistics is the analysis of large datasets, usually with the goal of either usefully describing this data or inferring conclusions about a larger dataset based on a representative sample. These two branches of mathematics can be considered two sides of a coin: statistics help you to understand the past, and probability helps you use that knowledge to predict the future!

    Statistics and probability are essential tools for data science. These skills enable you to determine whether your data collection methods are sound, derive relevant insights from massive datasets, build analytic models that produce usable results, and much more. Important concepts and skills in the data science context include sampling distributions, statistical significance, hypothesis testing, and regression analysis.