Enhance your knowledge about R Programming with our Free Online Tests
Master the fundamentals of data analysis with our r programming free online tests! Whether you’re a beginner or enhancing your skills for data science, our free r programming quizzes are perfect for you. Each online r programming test free offers real-world challenges to sharpen your coding. From data science r programming online test free modules to r programming practice tests online for certification prep, we’ve covered everything. Get ready with free online r programming certification tests and enjoy r programming mock tests free built by experts. Find the best free r programming tests that include detailed solutions and explanations. Perfect your skills with r programming test with answers free and r programming skills assessment free opportunities. Start your journey today and experience one of the best websites for free r programming practice tests available online!
Fundamentals of R Programming
Start with the basics! Our Fundamentals of R Programming test is designed for beginners who want to build a strong foundation. This free online R programming test covers variables, data types, and basic functions — an essential start for any data science journey.
Start Test 1Vectors in R
Learn about vectors in R , which are basic data structures used to store elements of the same type. They support operations like indexing, sorting, and mathematical calculations. This r programming practice test online is focused on understanding vectors in r programming .
Start Test 2Matrices in R
Matrices in R are essential for handling numerical data efficiently. From data manipulation to mathematical modeling, mastering matrix operations in R programming enhances your data science capabilities.
Start Test 3Data Frames in R
Data frames in R are essential for handling tabular data. Test your knowledge with our free online R programming test focused on data frames, structure, and data manipulation techniques.
Start Test 4Lists in R Programming
Learn how to create, access, modify, and combine lists in R with our focused R programming online exam for beginners. This test is designed to strengthen your understanding of lists — including nested lists, naming elements, and applying functions — so that you are better prepared for practical coding and data analysis tasks.
Start Test 5Conditional Statements in R
Conditional statements in R help you make decisions in your code by checking whether a condition is TRUE or FALSE. The most common structure is the if statement, which executes a block of code only when the condition is true. You can also use if…else to perform an action when the condition is true and a different action when it is false. For multiple conditions, R supports else if, allowing you to check more than one logical test.
Start Test 6Statistical Analysis
Learn basic statistics with R — from mean, median, mode to hypothesis testing — in this r programming mock test free ideal for students venturing into data science.
Start Test 7Machine Learning Basics in R
Take your first step into machine learning! This r programming coding challenge free online explores classification, clustering, and regression models using R libraries.
Start Test 8Time Series Analysis
Time to analyze stock prices and trends! Our free r programming online tests for time series data will help you master autocorrelation, ARIMA models, and seasonal decomposition.
Start Test 9Project-Based Assessment
Test your overall knowledge with this project-based r programming skills assessment free. Solve real case studies involving data cleaning, exploration, and modeling in R.
Start Test 10R Programming Online Tests & MCQs
Master R programming with free online tests and MCQs covering basics to advanced topics. Practice quizzes, build skills, and certify knowledge across data, stats, visualization, and ML.
R Programming Basics
Start learning R with free, structured quizzes covering setup, syntax, variables, functions, and core programming concepts. Perfect for beginners and those refreshing fundamentals.
Introduction to R Programming
Test core R concepts with quizzes on setup, session basics, RStudio, workspace management, and foundational ideas that every new R user must know to start coding confidently.
Start Online TestR Syntax and Data Types
Practice R syntax and data type quizzes focusing on numbers, strings, logicals, factors, and type conversion to solidify your understanding of R’s building blocks and usage.
Start Online TestR Operators and Expressions
Challenge yourself on arithmetic, relational, logical, assignment, and vectorized operators in R with quizzes that reinforce operator precedence and expression evaluation patterns.
Start Online TestR Control Structures
Take quizzes on if, else, for, while, repeat and switch constructs. Learn control flow and conditional logic in R for writing robust and readable scripts and functions.
Start Online TestR Functions and Packages
Test your skills defining and using functions, arguments, return values, and exploring CRAN packages. Quizzes cover scope, defaults, and package installation and usage.
Start Online TestData Structures in R
Learn and test R data structures—vectors, lists, matrices, arrays, factors, and data frames—with quizzes designed to teach creation, indexing, reshaping, and manipulation techniques.
R Vectors and Lists
Master single-dimension data in R with quizzes on creating, indexing, subsetting, coercion, and list manipulation for heterogeneous and nested data structures.
Start Online TestR Matrices and Arrays
Practice matrix and array operations in R: creation, indexing, binding, arithmetic, and apply functions with quizzes covering multi-dimensional numeric and character data.
Start Online TestR Factors and Data Frames
Test skills on factors, factor levels, and data frames including creation, indexing, column operations, type casting, and tidy data principles for analysis-ready datasets.
Start Online TestData Manipulation in R
Improve R data manipulation with quizzes on dplyr, tidyr, data cleaning, string and date handling, data import/export, and transformation patterns used in practical data workflows.
R Data Cleaning and Wrangling
Practice handling missing values, duplicates, outliers, and inconsistent data using cleaning strategies and reproducible transformations common in data preparation pipelines.
Start Online TestR dplyr Package
Test dplyr skills—select, filter, mutate, arrange, group_by, summarize—and chaining using pipes to perform expressive, readable data manipulation tasks in R.
Start Online TestR String Manipulation (stringr)
Take quizzes on stringr and base string handling: pattern matching, regex, substitution, splitting, trimming, and formatting strings for text cleaning and processing.
Start Online TestR Date and Time Functions
Strengthen skills using lubridate and base date-time tools for parsing, formatting, time zones, arithmetic, and extracting components for temporal analysis workflows.
Start Online TestR Import and Export Data
Test reading and writing CSV, Excel, JSON, and database I/O in R, including parameters, encodings, and best practices for smooth data exchange between systems.
Start Online TestR Apply Family Functions
Learn apply, lapply, sapply, vapply, tapply and their use cases. Quizzes teach vectorized alternatives and how to avoid slow loops by using the apply family effectively.
Start Online TestData Visualization in R
Master R visualization with quizzes on base graphics, ggplot2, interactive Plotly charts, chart customization, and best practices to communicate data clearly and attractively.
Base R Graphics
Practice base plotting in R with quizzes covering histograms, scatter, boxplots, lines, par settings, and simple customizations for quick exploratory visuals.
Start Online Testggplot2 Visualization
Test ggplot2 knowledge: grammar of graphics, layers, geoms, aesthetics, facets, scales, and themes to build reproducible and publication-ready plots in R.
Start Online TestPlotly and Interactive Charts
Take quizzes on creating interactive charts with plotly and ggplotly, including hover info, zoom, and embedding interactive visualizations in dashboards and reports.
Start Online TestR Chart Customization
Learn customization techniques for color, themes, labels, legends, annotations, and styling to make clear, branded, and accessible R visualizations for any audience.
Start Online TestStatistics & Probability in R
Deepen statistical skills with R quizzes on descriptive and inferential stats, hypothesis testing, distributions, correlation, regression, ANOVA, and non-parametric methods.
Descriptive Statistics in R
Practice computing mean, median, mode, variance, standard deviation, quantiles, and summary tables in R to summarize and understand datasets quickly and reliably.
Start Online TestProbability Distributions in R
Test knowledge of normal, binomial, Poisson, exponential and other distributions. Quizzes include density, distribution, quantile, and random generation functions in R.
Start Online TestHypothesis Testing in R
Strengthen inference skills with quizzes on t-tests, z-tests, chi-square tests, p-values, confidence intervals, and effect sizes using R functions and interpretation tips.
Start Online TestCorrelation and Regression
Take quizzes on correlation, simple and multiple linear regression, model interpretation, assumptions, diagnostics, and plotting regression outputs in R.
Start Online TestANOVA and Non-Parametric Tests
Evaluate ANOVA, repeated measures, Kruskal-Wallis, Wilcoxon tests and alternatives with quizzes that cover assumptions, execution, and interpretation in R.
Start Online TestMachine Learning & Advanced R
Explore machine learning in R through quizzes on supervised and unsupervised algorithms, model building, evaluation, tuning, and time series methods for predictive tasks.
Machine Learning Basics in R
Start ML with quizzes on supervised vs unsupervised learning, feature engineering, train/test splits, cross-validation, and the ML workflow in R.
Start Online TestRegression Models in R
Practice linear and logistic regression quizzes covering model fitting, feature selection, interpretation, diagnostics, goodness-of-fit, and prediction in R.
Start Online TestDecision Trees and Random Forests
Test tree-based methods including CART, ctree, randomForest, and ranger usage, hyperparameters, importance measures, and ensemble strategies in R.
Start Online TestClustering and PCA
Learn unsupervised methods with quizzes on K-means, hierarchical clustering, silhouette, and Principal Component Analysis for dimensionality reduction in R.
Start Online TestPrincipal Component Analysis (PCA)
Deep-dive PCA quizzes: covariance vs correlation, eigenvalues, loadings, scree plots, and interpreting components for feature reduction tasks in R.
Start Online TestK-means Clustering in R
Take quizzes on K-means setup, choosing K, initialization, scaling, evaluation, and visualizing cluster assignments and centroids in R.
Start Online TestRandom Forest in R
Test random forest concepts: bagging, oob error, variable importance, tuning, and handling of classification/regression problems using R packages.
Start Online TestDecision Trees in R
Practice building, pruning, plotting, and interpreting decision trees with rpart and party packages, plus tips for avoiding overfitting in R implementations.
Start Online TestTime Series Analysis in R
Learn ARIMA, ETS, decomposition, stationarity tests, forecasting, and evaluation metrics through quizzes focused on time series tools in R.
Start Online TestR caret Package
Test caret workflows: pre-processing, model training, resampling, tuning parameters, and consistent model evaluation using caret in R.
Start Online TestModel Evaluation in R
Take quizzes on confusion matrix, ROC, AUC, precision/recall, RMSE, MAE, and cross-validation methods to evaluate predictive models in R.
Start Online TestModel Evaluation and Tuning
Learn hyperparameter tuning, grid/random search, cross-validation strategies, and model comparison metrics to optimize R models effectively.
Start Online TestReal-World Applications & Advanced Tools
Apply R across domains with quizzes on Shiny, R Markdown, reticulate integration, domain-specific tasks in finance, bioinformatics, business analytics, and reproducible reporting.
R for Data Science
Test integrated data science workflows in R: exploration, transformation, modeling, visualization, and communicating results using tidyverse and other tools.
Start Online TestR for Business Analytics
Practice R for forecasting, KPIs, dashboards, segmentation, and decision-support analyses that help businesses use data to drive strategy and operations.
Start Online TestR for Bioinformatics
Take quizzes on genomic data import, Bioconductor tools, sequence analysis, and visualization tasks commonly used in bioinformatics with R.
Start Online TestR for Finance
Test R skills for finance: time series forecasting, risk measures, portfolio optimization, returns analysis, and financial data handling in R.
Start Online TestR Shiny Development
Master Shiny basics with quizzes on UI/server design, reactivity, inputs/outputs, modules, and deploying interactive web apps with R and Shiny Server.
Start Online TestR Markdown and Reporting
Learn reproducible reporting using R Markdown, parameterized reports, knitr, PDF/HTML/Word outputs, and embedding code with narrative explanations.
Start Online TestR Debugging and Optimization
Strengthen debugging skills in R: using traceback, browser, profvis, vectorization, memory profiling, and techniques to optimize code performance safely.
Start Online TestR Performance Optimization
Take quizzes on profiling, vectorized code, data.table, parallel processing, and memory strategies to speed up R workflows on large datasets.
Start Online TestR Regular Expressions
Practice regex in R for pattern matching, substitution, grouping, lookarounds, and real-world text extraction problems using base and stringr functions.
Start Online TestR Project Structure and Workflow
Test project organization: using renv, projects, scripts, modular code, version control, documentation, and reproducible workflows for collaborative R projects.
Start Online TestR with Python Integration (reticulate)
Learn reticulate and interoperability quizzes for calling Python from R, passing data, using conda/virtualenv, and hybrid workflows to leverage both ecosystems.
Start Online TestAssessment & Exam Prep
Prepare for R exams with topic-based practice quizzes, mock tests, and graded assessments covering applied problems, theory, and timed test conditions.
R Multiple Choice Questions (MCQ)
Practice a large bank of R multiple-choice questions across core topics with instant feedback and explanations to accelerate understanding and retention.
Start Online TestR Programming Online Exam Questions
Simulate online exams with curated R programming questions, varied difficulty levels, and scoring to benchmark progress and readiness for certification.
Start Online Test