Learn Cobol Programming 2024 vs Learn Data Science
Price, ratings, monetisation and update history for both apps, side by side — with what reviewers say about each.
Learn Cobol Programming 2024
Learn the fundamentals of COBOL, a high-level programming language designed for business data processing. Understand its history, features, and importance in various domains like finance and defense. This app provides insights into COBOL's structure and its evolution.
- COBOL history and evolution
- Understanding COBOL's business orientation
- Features of COBOL
- COBOL's importance in data processing
- Structured language concepts
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OBOL stands for Common Business Oriented Language. The US Department of Defense, in a conference, formed CODASYL (Conference on Data Systems Language) to develop a language for business data processing needs which is now known as COBOL. COBOL is used for writing application programs and we cannot use it to write system software. The applications like those in defense domain, insurance domain, etc. which require huge data processing make extensive use of COBOL. COBOL is a high-level language. One must understand the way COBOL works. Computers only understand machine code, a binary stream of 0s and 1s. COBOL code must be converted into machine code using a compiler. Run the program source through a compiler. The compiler first checks for any syntax errors and then converts it into machine language. The compiler creates an output file which is known as load module. This output file contains executable code in the form of 0s and 1s. Evolution of COBOL During 1950s, when the businesses were growing in the western part of the world, there was a need to automate various processes for ease of operation and this gave birth to a high-level programming language meant for business data processing. In 1959, COBOL was developed by CODASYL (Conference on Data Systems Language). The next version, COBOL-61, was released in 1961 with some revisions. In 1968, COBOL was approved by ANSI as a standard language for commercial use (COBOL-68). It was again revised in 1974 and 1985 to develop subsequent versions named COBOL-74 and COBOL-85 respectively. In 2002, Object-Oriented COBOL was released, which could use encapsulated objects as a normal part of COBOL programming. Importance of COBOL COBOL was the first widely used high-level programming language. It is an English-like language which is user friendly. All the instructions can be coded in simple English words. COBOL is also used as a self-documenting language. COBOL can handle huge data processing. COBOL is compatible with its previous versions. COBOL has effective error messages and so, resolution of bugs is easier. Features of COBOL Standard Language COBOL is a standard language that can be compiled and executed on machines such as IBM AS/400, personal computers, etc. Business Oriented COBOL was designed for business-oriented applications related to financial domain, defense domain, etc. It can handle huge volumes of data because of its advanced file handling capabilities. Robust Language COBOL is a robust language as its numerous debugging and testing tools are available for almost all computer platforms. Structured Language Logical control structures are available in COBOL which makes it easier to read and modify. COBOL has different divisions, so it is easy to debug.
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 Cobol Programming 2024's every 21 months. Learn Cobol Programming 2024's advantage is price ($0.99 vs $3.99) and iOS requirement (12.0 vs 17). 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 Cobol Programming 2024 costs $0.99 and Learn Data Science $3.99 up front. Neither carries in-app purchases, so what you see is what you pay.
Learn Cobol Programming 2024 ships an update every 21 months, Learn Data Science fortnightly. The most recent releases landed on September 17, 2026 and September 16, 2026 respectively.
| Parameter | Learn Cobol Programming 2024 | Learn Data Science |
|---|---|---|
| Price | $0.99 — better | $3.99 |
| Rating | 2.0 (2 ratings) — better | — |
| Positive reviews | 0.0% of reviews | — |
| Number of ratings | 2 — better | — |
| Update frequency | Every 21 months | Fortnightly — better |
| Ads | No | No |
| In-app purchases | No | No |
| Monetization | Paid | — |
| Devices | iPhone, iPad, iPod — better | iPhone, iPad |
| Requires iOS | 12.0 — better | 17 |
| Further details — not scored | ||
| Size | 33 MB | 187 MB |
| Age rating | 17+ | 9+ |
| Developer | Saqib Masood | Shahbaz Khan |
In-app purchases
Learn Cobol Programming 2024
No in-app purchases
Learn Data Science
No in-app purchases





