R

  • R exercises
    Views: 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 Statistics
    Views: 8
    • Beginner
    • 20 Exercises: convert variable to character, find legth of vector, remove values, random sample, customized vectors, filter Iris dataset, create table, etc.
    • 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.
    W3Resource
    Views: 55
    • Beginner – Intermediate
    • 120 Exercises: arrays, dataframe, vectors, list, factors.
    • Beginner – Intermediate
    • 120 Exercises: reading&extracting data, data visualization, merging data, functions, lists, loops, linear regression.
    • Beginner – Intermediate
    • ~70 Exercises&Problems: vectors, logical operations, dataframes, matrices, graphics, statistics, etc.
    R Tutorials
    Views: 3
    • Beginner – Intermediate
    • ~80 Exercises: write functions, dataframe (Iris, mtcars…) manipulations, time series, data.table, strings (stringr), regex, loops,
    • Beginner – Intermediate
    • ~40 Problems: linear algebra, math functions, time series, lists.
    • Beginner – Intermediate
    • ~150 Exercises: data frames, vectors, lists, matrices, binding, object modes, regular sequences.
    • Beginner – Intermediate
    • 40 test questions
    • Beginner – Intermediate
    • 20 test questions
    Data - Flair
    Views: 2
    • Beginner – Intermediate
    • 60 multiple choice test questions
    • 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.
    • 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.
    • Intermediate
    • ~200 Exercises solutions.
    • Intermediate
    • 20 Statistics Problems
    • Intermediate
    • 14 Exercises: sql queries, remove blanks, vectors, regex, clustering, etc.
    M University
    Views: 3
    • Advanced
    • 6 Statistics Problems
    Kaggle
    Views: 3
    • Advanced
    • ~150 Data Science Projects with real datasets.
    • Beginner – Intermediate – Advanced
    • 60 Exercises
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