- R exercisesViews: 5
- Beginner – Intermediate
- 200 Exercises: vectors, atributes, factors, matrices, arrays, lists, dataframes, importing/exporting data, strings, tables, data manipulation, visualization, statistics, ANOVA, A/B testing, regression, Bayesian, etc
R StatisticsViews: 8- Beginner
- 20 Exercises: convert variable to character, find legth of vector, remove values, random sample, customized vectors, filter Iris dataset, create table, etc.
University of CopenhagenViews:- Beginner
- ~100 Examples: built-in functions, vectors, descriptive statistics, help pages, reading data, plots, simple and multiple linear regression, logistic regression, ANOVA, PCA, matrices, etc.
W3ResourceViews: 55- Beginner – Intermediate
- 120 Exercises: arrays, dataframe, vectors, list, factors.
Western Sidney University (pdf)Views: 17- Beginner – Intermediate
- 120 Exercises: reading&extracting data, data visualization, merging data, functions, lists, loops, linear regression.
Imperial CollegeViews: 2- Beginner – Intermediate
- ~70 Exercises&Problems: vectors, logical operations, dataframes, matrices, graphics, statistics, etc.
R TutorialsViews: 3- Beginner – Intermediate
- ~80 Exercises: write functions, dataframe (Iris, mtcars…) manipulations, time series, data.table, strings (stringr), regex, loops,
University of Warwick(pdf)Views: 2- Beginner – Intermediate
- ~40 Problems: linear algebra, math functions, time series, lists.
RPubs - OnurhanViews: 2- Beginner – Intermediate
- ~150 Exercises: data frames, vectors, lists, matrices, binding, object modes, regular sequences.
Analytics Vidhya (Test)Views: 18- Beginner – Intermediate
- 40 test questions
Data Analytics (Exam)Views: 7- Beginner – Intermediate
- 20 test questions
Data - FlairViews: 2- Beginner – Intermediate
- 60 multiple choice test questions
Australian National University (pdf)Views: 1- Intermediate
- ~100 Exercises: subsets of dataframes, plots, row sorting, loops, useful functions, data exploration, distributions, central limit theorem, linear regression, random forest, trees, SVM, etc.
Advanced R Solutions (book)Views: 2- Intermediate
- ~100 Exercises: vectors, control flow, functions, enviroments, conditions, functions, expressions, debugging, R code in C++.
- Intermediate
- ~120 Statistics Exercises: probability, descriptive statistics, linear regression, test hypothesis, confidence intervals, time series.
R for Data Science (book)Views: 22- Intermediate
- ~200 Exercises solutions.
- Intermediate
- 20 Statistics Problems
Berkeley University (2010 Exam)Views: 4- Intermediate
- 14 Exercises: sql queries, remove blanks, vectors, regex, clustering, etc.
M UniversityViews: 3- Advanced
- 6 Statistics Problems
KaggleViews: 3- Advanced
- ~150 Data Science Projects with real datasets.
Exercism (No Data Science problems)Views: 2- Beginner – Intermediate – Advanced
- 60 Exercises
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