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R For Data Science

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「r for data science」の222件の結果

Johns Hopkins University
Data Science: Foundations using R
習得できるスキル： Analysis, Application Development, Business Analysis, Computer Programming, Data Analysis, Data Management, Data Visualization, Exploratory Data Analysis, Extract, Transform, Load, Knitr, Probability & Statistics, R Programming, Rstudio, Software Engineering Tools, Statistical Programming
4.6
（46.4k件のレビュー）
Beginner · Specialization · 3+ Months
IBM
IBM Data Analytics with Excel and R
習得できるスキル： Advertising, Analysis, Apache, Big Data, Business Analysis, Communication, Computer Programming, Data Analysis, Data Analysis Software, Data Management, Data Mining, Data Visualization, Data Visualization Software, Data Warehousing, Databases, Extract, Transform, Load, General Statistics, Marketing, Mathematics, Microsoft Excel, NoSQL, Operating Systems, Plot (Graphics), Probability & Statistics, R Programming, Regression, SQL, Spreadsheet Software, Statistical Analysis, Statistical Programming, Statistical Visualization, System Programming
4.7
（8.8k件のレビュー）
Beginner · Professional Certificate · 3+ Months
University of Colorado Boulder
Statistical Modeling for Data Science Applications
習得できるスキル： Advertising, Algebra, Analysis, Communication, Econometrics, General Statistics, Inference, Linear Regression, Linearity, Machine Learning, Machine Learning Algorithms, Marketing, Mathematics, Modeling, Probability & Statistics, Regression, Regression Analysis
4.2
（14件のレビュー）
Intermediate · Specialization · 3+ Months
Duke University
Data Analysis with R
習得できるスキル： Algebra, Bayesian Statistics, Data Analysis, Data Mining, Econometrics, Experiment, General Statistics, Inference, Linearity, Machine Learning, Machine Learning Algorithms, Mathematics, Probability, Probability & Statistics, Probability Distribution, R Programming, Statistical Inference, Statistical Programming
4.7
（6.5k件のレビュー）
Beginner · Specialization · 3+ Months
Johns Hopkins University
Mastering Software Development in R
習得できるスキル： Application Development, Communication, Computational Thinking, Computer Programming, Continuous Delivery, Data Analysis, Data Visualization, DevOps, Graphs, Human Learning, Plot (Graphics), Programming Principles, Python Programming, Software Engineering, Software Engineering Tools, Software Testing, Statistical Programming, Theoretical Computer Science
4.3
（1.4k件のレビュー）
Beginner · Specialization · 3+ Months
Johns Hopkins University
Tidyverse Skills for Data Science in R
習得できるスキル： Advertising, Business Analysis, Communication, Computational Logic, Computer Program, Computer Programming, Data Analysis, Data Management, Data Mining, Data Structures, Data Visualization, Databases, Extract, Transform, Load, Ggplot2, Machine Learning, Marketing, Mathematics, Natural Language Processing, Plot (Graphics), Programming Principles, R Programming, SQL, Software Architecture, Software Engineering, Spreadsheet Software, Statistical Programming, Theoretical Computer Science
4.4
（64件のレビュー）
Beginner · Specialization · 3+ Months
無料
Stanford University
Introduction to Statistics
習得できるスキル： Statistical Analysis, Data Analysis, Markov Model, Bayesian Statistics, Experiment, Probability, Statistical Tests, Analysis, Regression, Machine Learning, General Statistics, Probability & Statistics, Probability Distribution, Basic Descriptive Statistics, Econometrics
4.5
（983件のレビュー）
Beginner · Course · 1-3 Months

r for data scienceに関連する検索

introduction to r programming for data science

sql for data science with r

tidyverse skills for data science in r

要約して、r for data science の人気コース10選をご紹介します。

Data Science: Foundations using R: Johns Hopkins University
IBM Data Analytics with Excel and R: IBM
Data Analysis with R Programming: Google
Introduction to R Programming for Data Science: IBM
Data Analysis with R: IBM
Statistical Modeling for Data Science Applications: University of Colorado Boulder
Data Analysis with R: Duke University
Mastering Software Development in R: Johns Hopkins University
Tidyverse Skills for Data Science in R: Johns Hopkins University
The R Programming Environment: Johns Hopkins University

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