# Learn Data Science Tutorials — Learn Data Science Now

> Learn data science, R programming, and SQL with tutorials and practical exercises. (iPhone/iPad app by Muhammad Umair.)

- Source: https://appshunter.io/ios/app/learn-data-science-tutorials/id6453023361 (this page in markdown: same URL + `.md`)
- Developer: [Muhammad Umair](https://appshunter.io/developer/1696049320)
- Category: Education, Developer Tools
- Price: $1.99
- Rating: 1.00/5 from 1 App Store ratings · 1 written reviews indexed
- Age rating: 9+
- Requires: iOS 13.0 · 41 MB
- Languages: American English
- Released: 2023-07-25
- Data updated: 2026-08-10
- Monetization: paid
- User reviews in markdown: https://appshunter.io/ios/app/learn-data-science-tutorials/id6453023361/reviews.md

## What is Learn Data Science Tutorials?

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.

## Key features

- Data science fundamentals
- R programming language
- SQL curriculum
- Data visualization
- Interview preparation
- Beginner-friendly lessons

## Recent user reviews (1 of 1)

All indexed reviews: https://appshunter.io/ios/app/learn-data-science-tutorials/id6453023361/reviews.md

### 1/5 — Scam

*2024-03-01*

This app is a scam

## Frequently asked questions about Learn Data Science Tutorials

### What is the primary focus of Learn Data Science Tutorials?

Learn Data Science Tutorials focuses on teaching the fundamentals of data science, including R programming and SQL. It aims to help users gain essential skills for data analysis and prepare for related interviews or tests.

### Is Learn Data Science Tutorials suitable for absolute beginners?

Yes, the app is designed to help beginners gain fundamental skills in data science and R programming. It starts with basic concepts and progresses to more advanced topics.

### What programming languages and tools are covered in Learn Data Science Tutorials?

The app covers R programming, including its syntax, data types, and control statements. It also includes a curriculum for SQL to build data analyst skills and learn about relational databases.

### How does Learn Data Science Tutorials help with career preparation?

The app is presented as a must-have for those preparing for data science interviews or upcoming tests. It aims to equip users with the knowledge and skills needed to succeed in these scenarios.

### What is the price of Learn Data Science Tutorials?

Learn Data Science Tutorials is a paid app, priced at $1.99. This one-time purchase grants access to its learning content.

### On which devices can I use Learn Data Science Tutorials?

Learn Data Science Tutorials is available for iPhone, iPad, and iPod devices. It is designed for the iOS ecosystem.

### How frequently is Learn Data Science Tutorials updated?

The app was last updated on January 29, 2026, with version 1.2. This indicates a recent update, suggesting ongoing development and support.

### What is the age rating for Learn Data Science Tutorials?

Learn Data Science Tutorials has an age rating of 9+. This suggests the content is suitable for users aged 9 and above.

## Version history (last 3 releases)

### 1.2 — 2026-01-29

Added new fearures
New UI Design
Fixed Bugs

### 1.1 — 2024-07-10

Fixed Bugs

### 1.0 — 2023-07-25

No release notes.

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All apps by Muhammad Umair: https://appshunter.io/developer/1696049320

## Related topics

[learn data science tutorials](https://appshunter.io/ios/topics/learn-data-science-tutorials)

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*Data collected daily from the US App Store and indexed by [AppsHunter](https://appshunter.io/). User reviews are verbatim App Store reviews. Ratings, prices and chart positions refresh continuously; this snapshot is from 2026-08-10.*