Learn Data Science | DS Book
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Learn complete data science from here.
- Downloads
- 9.1K+
- on Google Play
- Price
- Free
- No in-app purchases
- Updated
- Apr 29
- 2025 · v2.0.4
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About Learn Data Science | DS Book
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.
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.
What’s new
Version 2.0.4 · Updated April 29, 2025
- Fixed Bugs.
User reviews
Very informative
Best application for learning data science . I love it ❤️
Best app of Learning Data Science
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Frequently asked questions
What is 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.
Why is Data Science important?
Data Science helps you to discover hidden patterns from raw data and extract actionable insights from them.
What is R programming?
R is an open-source programming language that is widely used as a statistical software and data analysis tool.
Where can I use R programming?
R is available across widely used platforms like Windows, Linux, and macOS.
Is the app suitable for beginners?
Yes, the app is designed for beginners to gain fundamental skills in data science.
What can I learn with the app?
You can learn R programming, SQL, and other data science skills with the app.
How long does it take to become a data analyst?
With just 5 minutes a day, you can become an expert in relational databases and SQL joins.
What topics are covered in the R programming course?
The R programming course covers topics such as introduction, data types, variables, operators, conditional statements, loop statements, loop control statements, R script, R functions, custom function, and data structures.
What is the purpose of data science?
The purpose of data science is to mine large data sets of raw data to identify patterns and extract actionable insights.
Is data science an interdisciplinary field?
Yes, data science is an interdisciplinary field that includes statistics, computer science, predictive analytics, machine learning algorithm development, and new technologies.
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