Learn PostgreSQL Offline vs Learn Data Science
Price, ratings, monetisation and update history for both apps, side by side โ with what reviewers say about each.
Learn PostgreSQL Offline
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PostgreSQL is a popular relational database management system (RDBMS). Our PostgreSQL tutorial provides basic and advanced concepts of PostgreSQL. In this tutorial, we are going to learn all the topics of PostgreSQL language, such as create a database, drop a database, select database, select table, update a record, create a table, delete record, drop table, triggers, functions, insert the record, procedures, cursors, etc. - What is PostgreSQL Database? PostgreSQL is an ORDBMS [Open-Source Object-Relational Database Management System]. It is used to store data securely; supporting best practices, and allow recovering them when the request is processed. - History of PostgreSQL PostgreSQL was developed by the PostgreSQL Global Development Group, which is led by a computer science professor named Michael Stonebraker at the University of California, Berkeley [UCB]. The professor's stonebreaker started in 1986 as a follow-up project and a post-Ingres project to overcome the problems of the existing database system. Initially, it was called as Postgres, but in 1996, the project was renamed to PostgreSQL. Then again, in 2007, they did some analysis, and the development team decided to preserve the name as PostgreSQL. And now, it is the most innovative open-source database available in the market.
Learn Data Science
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Master Data Science, Machine Learning, and Artificial Intelligence with the most comprehensive and interactive learning app. Whether you're a complete beginner or looking to advance your career, this is your all-in-one path to becoming a Data Scientist. COMPLETE CURRICULUM - Learn Everything In One App Start from scratch and become job-ready with our structured learning path: Python Fundamentals - Python programming from basics to advanced - Variables, loops, functions, OOP - File handling, error handling, decorators - Real-world coding exercises Data Science Libraries - NumPy: Numerical computing & arrays - Pandas: Data manipulation & analysis - Matplotlib: Data visualization & plots - SciPy: Scientific computing - Polars: High-performance dataframes Machine Learning Mastery - Scikit-learn: Complete ML toolkit - Supervised & unsupervised learning - Classification, regression, clustering - Model evaluation & optimization Deep Learning & AI - TensorFlow: Build neural networks - PyTorch: Deep learning framework - CNN, RNN, and advanced architectures - Real-world AI projects Advanced Topics - Reinforcement Learning - Natural Language Processing - Computer Vision basics - MLOps fundamentals CODE PLAYGROUND - Practice What You Learn - Write and execute Python code on your device - See results instantly - no computer needed - Syntax highlighting & error detection - Save your code snippets for later AI TUTOR - Your 24/7 Learning Assistant - Ask any coding or concept questions - Get explanations in simple terms - Debug your code with AI help - Personalized learning recommendations - Conversation history to review past help GAMIFIED LEARNING - Stay Motivated - Daily learning streaks with fire animations - Achievement badges for milestones - XP points & level progression - Study reminders with push notifications - Personal learning statistics POWERFUL ORGANIZATION TOOLS - Bookmarks: Save lessons for quick access - Notes: Write personal notes on any lesson - Code Snippets: Store reusable code - Search: Find anything instantly across all content - Dark mode for comfortable night learning LEARN OFFLINE - Anytime, Anywhere - Study on your commute without internet - Perfect for learning on planes, trains, or remote areas - Sync progress when you reconnect PERFECT FOR - Aspiring Data Scientists - Students & professionals switching careers - Developers expanding into ML/AI - Self-taught learners wanting structure - Interview preparation for tech roles Start your data science journey today and transform your career!
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Verdict
The clearest difference is update cadence: Learn Data Science at fortnightly against Learn PostgreSQL Offline's every 41 months. Learn PostgreSQL Offline's advantage is price ($1.99 vs $3.99) and iOS requirement (13.0 vs 17). On ads, in-app purchases and device support there is nothing between them.
Scored on Price ยท Rating ยท Positive reviews ยท Number of ratings ยท Update frequency ยท Ads ยท In-app purchases ยท Monetization ยท Best chart rank ยท Devices ยท Requires iOS
Learn PostgreSQL Offline costs $1.99 and Learn Data Science $3.99 up front. Neither carries in-app purchases, so what you see is what you pay.
Learn PostgreSQL Offline ships an update every 41 months, Learn Data Science fortnightly. The most recent releases landed on September 28, 2026 and September 16, 2026 respectively.
| Parameter | Learn PostgreSQL Offline | Learn Data Science |
|---|---|---|
| Price | $1.99 โ better | $3.99 |
| Update frequency | Every 41 months | Fortnightly โ better |
| Ads | No | No |
| In-app purchases | No | No |
| Devices | iPhone, iPad, iPod โ better | iPhone, iPad |
| Requires iOS | 13.0 โ better | 17 |
| Further details โ not scored | ||
| Size | 39 MB | 187 MB |
| Age rating | 4+ | 9+ |
| Developer | Muhammad Mubeen | Shahbaz Khan |
In-app purchases
Learn PostgreSQL Offline
No in-app purchases
Learn Data Science
No in-app purchases





