Learn Data Science Tutorials vs PyPlot Lab
Price, ratings, monetisation and update history for both apps, side by side — with what reviewers say about each.
Learn Data Science Tutorials
Master data science with this comprehensive learning app. It covers R programming, SQL, and data visualization fundamentals. Ideal for beginners and those preparing for interviews or tests.
- Data science fundamentals
- R programming language
- SQL curriculum
- Data visualization
- Interview preparation
- Beginner-friendly lessons
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Become a complete data science master with this app. Learn the basics of Data Science or become an expert in Data Science with this best Data Science learning app. Learn to code and visualize data for free with a one-stop learning app - “Learn Data Science”. If you’re preparing for a Data Science interview or just preparing for your upcoming test, this is a must have app for you. Data Science Data Science is the area of study which involves extracting insights from vast amounts of data using various scientific methods, algorithms, and processes. It helps you to discover hidden patterns from the raw data. The term Data Science has emerged because of the evolution of mathematical statistics, data analysis, and big data. R programming R is an open-source programming language that is widely used as a statistical software and data analysis tool. R generally comes with the Command-line interface. R is available across widely used platforms like Windows, Linux, and macOS. - Are you a beginner? Gain the fundamental skills you need to speak the language of data with our data science app. - Start with R programming and begin your data science journey with an in-demand and all-purpose technology. Learn 'R' and become a data science master. This learning path is great for both R programming beginners. - Build up your data analyst skills with our SQL curriculum. In just 5 minutes a day, you’ll become an expert in relational databases and SQL joins, and will learn how to answer a wide variety of data science questions and prepare robust data sets for data analysis in PostgreSQL. - Its time to master the basics of data science with R to get started on the path of exploring and visualizing your own data with the tidyverse, a powerful and popular collection of data science tools within R. To learn R for data science we covered all aspects as follows: • Introduction • Data-Types in R • Variables in R • Operators in R • Conditional Statements • Loop statements • Loop Control Statements • R Script • R Functions • Custom Function • Data Structures Data science is the practice of mining large data sets of raw data, both structured and unstructured, to identify patterns and extract actionable insight from them. This is an interdisciplinary field, and the foundations of data science include statistics, inference, computer science, predictive analytics, machine learning algorithm development, and new technologies to gain insights from big data. If you like our app. please rate app and share this app to your friends. Thanks.
PyPlot Lab
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PyPlot Lab: Master Data Visualization in Python Transform your data into clear, compelling visuals with PyPlot Lab — a structured learning app for mastering Python data visualization with Matplotlib (matplotlib.pyplot / pyplot) and Seaborn. PyPlot Lab takes a hands-on approach to building real visualization skill. Start with fundamentals, practice core chart types, then move into advanced layouts and statistical plots. The curriculum focuses on producing clean, publication-ready figures using industry-standard libraries. What You’ll Learn * Build effective visualizations with Matplotlib and Seaborn * Use matplotlib.pyplot (pyplot) for fast, productive plotting workflows * Apply visualization best practices (readability, labeling, scaling, color, and design) * Create publication-ready figures with Matplotlib’s fine-grained control * Make multi-plot layouts with subplots, grids, and figure-level customization * Choose the right tool for the job: Matplotlib for full control, Seaborn for statistical plots * Explore Matplotlib’s built-in interactive capabilities (pan/zoom, event handling) and basic animations Key Features * 70+ hands-on coding exercises per module (Matplotlib/pyplot/Seaborn practice) * Daily visualization challenges to build consistency and speed * Progress tracking + a personal visualization portfolio * Offline access to examples and tutorials * No ads. No subscriptions. * 100 Data Visualization Programming Units with structured, comprehensive content * `matplotlib.pyplot` cheatsheet * `matplotlib.pyplot` flashcards — 1200 cards across 12 units * 12 custom themes to personalize your interface * 15 interface languages supported for global accessibility * All content unlocked — no in-app purchases * Algorithm Guide – a concise guide to essential algorithms and patterns for Python programmers Perfect For * Data scientists and analysts using Python visualization * Python developers improving data presentation and reporting * Researchers needing publication-quality figures * STEM students learning modern visualization skills * Technical writers creating clear, informative graphics * Anyone turning data into understandable insights with Python From foundational concepts to advanced techniques, PyPlot Lab helps you master Matplotlib (pyplot) and Seaborn — and turn raw data into meaningful, polished visuals with full offline access and zero interruptions.
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Verdict
The clearest difference is update cadence: PyPlot Lab at every 2 months against Learn Data Science Tutorials's every 15 months. Learn Data Science Tutorials's advantage is price ($1.99 vs $5.99) and iOS requirement (13.0 vs 15.1). On ads, in-app purchases and device support 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
Learn Data Science Tutorials costs $1.99 and PyPlot Lab $5.99 up front. Neither carries in-app purchases, so what you see is what you pay.
Learn Data Science Tutorials ships an update every 15 months, PyPlot Lab every 2 months. The most recent releases landed on August 10, 2026 and September 8, 2026 respectively.
| Parameter | Learn Data Science Tutorials | PyPlot Lab |
|---|---|---|
| Price | $1.99 — better | $5.99 |
| Rating | 1.0 (1 ratings) — better | — |
| Positive reviews | 0.0% of reviews | — |
| Number of ratings | 1 — better | — |
| Update frequency | Every 15 months | Every 2 months — better |
| Ads | No | No |
| In-app purchases | No | No |
| Monetization | Paid | — |
| Devices | iPhone, iPad, iPod | iPhone, iPad, iPod |
| Requires iOS | 13.0 — better | 15.1 |
| Further details — not scored | ||
| Size | 41 MB | 69 MB |
| Age rating | 9+ | 4+ |
| Developer | Muhammad Umair | SimTeCon GmbH |
In-app purchases
Learn Data Science Tutorials
No in-app purchases
PyPlot Lab
No in-app purchases
Questions
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