Learn Data Science Tutorials

Learn Data Science Now

Published by: Muhammad Umair
Downloads
Revenue

Description

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.
Hide Show More...

Screenshots

Learn Data Science Tutorials FAQ

  • Is Learn Data Science Tutorials free?

    Learn Data Science Tutorials is not free (it costs 1.99), however it doesn't contain in-app purchases or subscriptions.

  • Is Learn Data Science Tutorials legit?

    Not enough reviews to make a reliable assessment. The app needs more user feedback.

    Thanks for the vote

  • How much does Learn Data Science Tutorials cost?

    The price of Learn Data Science Tutorials is 1.99.

  • What is Learn Data Science Tutorials revenue?

    To get estimated revenue of Learn Data Science Tutorials app and other AppStore insights you can sign up to AppTail Mobile Analytics Platform.

User Rating
App is not rated in Slovakia yet.
Ratings History

Learn Data Science Tutorials Reviews

Scam

342ngt9kh on

United States

This app is a scam

Store Rankings

Ranking History
App Ranking History not available yet
Category Rankings
App is not ranked yet

Learn Data Science Tutorials Installs

Last 30 days

Learn Data Science Tutorials Revenue

Last 30 days

Learn Data Science Tutorials Revenue and Downloads

Gain valuable insights into Learn Data Science Tutorials performance with our analytics.
Sign up now to access downloads, revenue, and more.
This page includes copyrighted content from third parties, shared solely for commentary and research in accordance with fair use under applicable copyright laws. All trademarks, including product, service, and company names or logos, remain the property of their respective owners. Their use here falls under nominative fair use as outlined by trademark laws and does not suggest any affiliation with or endorsement by the trademark holders.