Learn R Programming vs Data Science & Analytics Quiz
Price, ratings, monetisation and update history for both apps, side by side — with what reviewers say about each.
Learn R Programming
Learn R programming from basic to advanced concepts with this comprehensive tutorial app. It offers offline access to all topics, easy-to-understand examples, and practical exercises. Includes an online compiler and interview preparation materials.
- Offline R programming tutorials
- Online R compiler
- R interview questions and answers
- Data visualization examples
- Statistical practice programs
- Dark mode support
Read full descriptionHide full description
If you are searching for an application to learn R basic to advance without any programming knowledge. You are at right place. Whether you are an experienced programmer or not, this Application is intended for everyone who wishes to learn the R Programming language. There is no need to Internet anything - Just click on the INSTALL you wish to begin from, and follow the instructions. Good luck! Features: • Great user interface. • Dark mode • Topics divided into proper way. • All topics are offline: no needs internet • Content with easy examples. • Easy to Understand. • Good Numbers of Examples • Copy and Share Topic with your friends. • Online R Compiler: Run your R program within application. • R Interview Questions and Answers. Basic Tutorial: basic tutorial consists following topics. • R Introduction • Environment Setup • Data Types in R • Basic Syntax • R Operators • Loops in R • R Functions • R Strings • R Vectors • R Lists Data Interfaces, Charts and Graphs: Basic to Advance R topics likes, • CSV Files • Excel File • Binary Files • XML Files • JSON Files • Web Data • Databases • Pie, Bar Charts • Boxplots • Histograms • Line Graphs • Scatterplots Statistic Examples: No battle can win in the study and theory without practice is dead. In this topic we add 60+ practice programs with output and provide run, share and copy. • Mean, Median and Mode • Linear, Multiple, Logistic, Poisson Regression • Normal, Binomial Distribution • Analysis of Covariance, Random Forest, Survival Analysis, Chi Square Test R Interview Questions and Answers: R Interview Questions have been designed specially to get you acquainted with the nature of questions you may encounter during your interview for the subject of R Programming Language. Contact Us: universeassistant083@gmail.com If you choose to subscribe to any of the “Learn R Programming Premium” Subscriptions, the payment will be charged to your iTunes account at confirmation of purchase. any unused portion of the free trial period, if offered, will be forfeited when you purchase a subscription to that publication. From that moment and further, the subscription automatically renews until auto-renew is turned off at least 24 hours before the end of the current period. You may manage your subscription and turn off auto-renewal by going to your account settings after purchase. No cancellation of the current subscription is allowed during the active period. If you have any questions while using this app, please contact us via email at universeassistant083@gmail.com. Terms of Use - https://sites.google.com/view/javascript-terms-of-usecript/home
Data Science & Analytics Quiz
Test and enhance your knowledge in data science and analytics with AI-generated quizzes. Covers topics like statistics, machine learning, SQL, and data visualization. Features AI explanations and targeted practice sessions for improvement.
- AI-generated quiz questions
- AI-powered answer explanations
- Improve session for weak areas
- Mock interview sessions
- Covers statistics, ML, SQL, visualization
- AI and collaborative features
Read full descriptionHide full description
Master the world of data with our comprehensive quiz app, designed for aspiring analysts, data scientists, and seasoned professionals. Elevate your expertise in Data Analysis, Machine Learning, Statistics, SQL, and the essential tools and libraries that power the industry. Whether you're starting your data journey or refining advanced techniques, our app offers a structured path to test and enhance your knowledge, now supercharged with cutting-edge AI and collaborative features. Data Science & Analytics Topics: Statistics & Mathematics: Build the foundational bedrock of data science. This category covers probability, descriptive and inferential statistics, hypothesis testing, regression, and linear algebra—essential for making data-driven decisions. Data Wrangling & Preprocessing: Master the art of preparing data for analysis. Learn techniques for handling missing values, data cleaning, transformation, normalization, and feature engineering to ensure high-quality datasets. Data Visualization: Learn to tell compelling stories with data. This section focuses on principles of effective visualization and the use of libraries like Matplotlib, Seaborn, and Plotly to create insightful charts and dashboards. Machine Learning: Dive deep into predictive modeling. Understand core concepts from supervised learning (regression, classification) to unsupervised learning (clustering, dimensionality reduction), and model evaluation metrics. SQL & Databases: Grasp the language of data querying. This category covers from basic SELECT queries and JOINs to advanced window functions and database management, equipping you to extract insights from relational databases. Big Data & Cloud Analytics: Tackle modern, scalable data challenges. Explore concepts in distributed computing, cloud platforms (AWS, GCP, Azure), and tools like Spark and Hadoop for handling large-scale data. Other Core Topics: Business Intelligence (BI) & Reporting: Translate data into business value. Explore key BI tools (e.g., Tableau, Power BI), dashboard creation, and KPI tracking to drive strategic decisions. Essential Data Science Libraries & Tools: Master the toolkit of a modern data professional. Dive into subtopics including: Pandas & NumPy Scikit-learn TensorFlow/PyTorch Apache Spark Jupyter Notebooks Key Features: AI Quiz Generation: Our AI creates unique questions across all categories, ensuring a personalized and engaging learning experience. AI Quiz Explanation: Understand your mistakes with detailed, AI-powered explanations. Get clear, step-by-step breakdowns of correct answers to deepen your conceptual understanding and improve faster. Improve Session: The Improve Session feature lets you replay only incorrectly answered questions, helping you focus and strengthen your weak areas efficiently. AI-Powered Mock Interview Sessions: Prepare for real data science interviews based on job roles such as Data Analyst, Data Scientist, Machine Learning Engineer, BI Developer, and more. Receive: Tailored interview questions based on role and seniority Strength and weakness analysis with performance feedback Skills breakdown and targeted improvement suggestions Guided preparation roadmap Multiple Question Formats: MCQ Match the following Fill in the blanks Re-arrange True or False Data Playground & Notebook: Write, run, and experiment with Python, R, or SQL and many more code directly in the app. AI Study Roadmap Builder: Get a personalized learning path and career roadmap based on your target role, current skills, and timeline. Structured Learning Modules: Master new concepts with dedicated "Learn" modules. Access curated lessons, tutorials, and foundational explanations. Online Multiplayer: Challenge friends and peers in real-time! Experience interactive learning designed to match real-world analytical challenges and improve retention. Download now to begin mastering Data Science, Analytics, Machine Learning, SQL, and Statistics today!
Screenshots
Verdict
The clearest difference is rating: Data Science & Analytics Quiz at 4.8 against Learn R Programming's 4.5. Learn R Programming's advantage is ratings volume (22 vs 6) and iOS requirement (12.0 vs 15.0). On price, update cadence, ads and in-app purchases there is nothing between them.
Scored on Price · Rating · Positive reviews · Number of ratings · Update frequency · Ads · In-app purchases · Monetization · Best chart rank · Devices · Requires iOS
Both are free to download. Learn R Programming sells 1 in-app purchase, starting at $1.99 per month and Data Science & Analytics Quiz sells 3 one-off in-app purchases. Whichever you choose, the download price is not the number that matters.
Data Science & Analytics Quiz holds the better App Store score, 4.8 against 4.5. Both are backed by a comparable volume of ratings — 22 and 6 respectively.
Learn R Programming ships an update every 5 months, Data Science & Analytics Quiz every 4 months. The most recent releases landed on September 29, 2026 and October 2, 2026 respectively.
| Parameter | Learn R Programming | Data Science & Analytics Quiz |
|---|---|---|
| Price | Free | Free |
| Rating | 4.5 (22 ratings) | 4.8 (6 ratings) — better |
| Positive reviews | 66.7% of reviews | — |
| Number of ratings | 22 — better | 6 |
| Update frequency | Every 5 months | Every 4 months — better |
| Ads | Yes | Yes |
| In-app purchases | Yes | Yes |
| Monetization | Free with in-app purchases | Free with in-app purchases |
| Devices | iPhone, iPad, iPod | iPhone, iPad, iPod |
| Requires iOS | 12.0 — better | 15.0 |
| Further details — not scored | ||
| Size | 31 MB | 48 MB |
| Age rating | 4+ | 4+ |
| Developer | Jayotsanaben Hadiya | Shameel Abid |
Customer experience
Learn R Programming
Data Science & Analytics Quiz
In-app purchases
Learn R Programming
- Monthly Pro Access$1.991 Month
Data Science & Analytics Quiz
- 20 AI Credits$0.99
- 40 AI Credits$1.99
- Buy VIP$4.99
Questions
Is Learn R Programming free?
Is Data Science & Analytics Quiz free?
Which has better reviews, Learn R Programming or Data Science & Analytics Quiz?
Do Learn R Programming or Data Science & Analytics Quiz have ads?
Which is updated more often, Learn R Programming or Data Science & Analytics Quiz?
Other comparisons















