Learn Cobol Programming 2024 vs Learn Data Science Tutorials
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 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.
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Verdict
The clearest difference is rating: Learn Cobol Programming 2024 at 2.0 against Learn Data Science Tutorials's 1.0. Learn Cobol Programming 2024 also leads on price ($0.99 vs $1.99). On review sentiment, ratings volume, update cadence and ads 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 Tutorials $1.99 up front. Neither carries in-app purchases, so what you see is what you pay.
Learn Cobol Programming 2024 holds the better App Store score, 2.0 against 1.0. Both are backed by a comparable volume of ratings — 2 and 1 respectively. Written reviews split almost evenly too, at 0% and 0% positive.
Learn Cobol Programming 2024 ships an update every 21 months, Learn Data Science Tutorials every 15 months. The most recent releases landed on October 12, 2026 and October 13, 2026 respectively.
| Parameter | Learn Cobol Programming 2024 | Learn Data Science Tutorials |
|---|---|---|
| Price | $0.99 — better | $1.99 |
| Rating | 2.0 (2 ratings) — better | 1.0 (1 ratings) |
| Positive reviews | 0.0% of reviews | 0.0% of reviews |
| Number of ratings | 2 — better | 1 |
| Update frequency | Every 21 months | Every 15 months — better |
| Ads | No | No |
| In-app purchases | No | No |
| Monetization | Paid | Paid |
| Devices | iPhone, iPad, iPod | iPhone, iPad, iPod |
| Requires iOS | 12.0 — better | 13.0 |
| Further details — not scored | ||
| Size | 33 MB | 41 MB |
| Age rating | 17+ | 9+ |
| Developer | Saqib Masood | Muhammad Umair |
Customer experience
Learn Cobol Programming 2024
Learn Data Science Tutorials
In-app purchases
Learn Cobol Programming 2024
No in-app purchases
Learn Data Science Tutorials
No in-app purchases
Questions
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