Learn R Programming Offline vs Learn Data Science Tutorials使用状況と統計

Learn R Programming Offline & become a job-ready R programmer. R Language was designed by statisticians. R Language is specialized for statistical computing, statistical data analytics Machine learning, and deep learning, Web applications using RShinyand. As technology is improving, the data companies or research institutions collect has become more and more complex, and R has been adopted by many as the language of choice to analyze data. R is great for machine learning, data visualization and analysis, and some areas of scientific computing. This app contains all the major topics of R Programming with Excellent Code Examples and Projects. Why you should Learn R Programming? R Programming in Open Source: R is free, open-source software. It's plug and play, install R once, and start having fun with it. What more? You can even modify the code and add your own innovations to it. R language has no license restrictions as it is issued under the GNU. R is Cross-Platform Compatible: One of the biggest advantages of R is that you can run R on several operating systems and varied Software/Hardware. Large Community: Let’s say you are working on a financial project to find out how many of the credit card transactions are fraudulent and reach a roadblock while building the classification model. Thankfully, R boasts of a huge community to tap into whenever you need help. So, you can always seek help from people who have worked on similar projects. Interactive Web apps: Ever wondered if there is a tool that helps in creating stunning web applications directly from your data analysis software? R provides a package called shiny, just for that. With the help of shiny, you can create interactive web pages and impressive dashboard designs directly from your R Console. High Paying Jobs: n a Survey done by Dice Tech of over 18,000 technology professionals, the highest-paid IT skill was R programming. R language skills attract median salaries in excess of $120,000. With R language as a skill-set, one can find jobs such as: 1- Data Analyst 2- Data Scientist 3- Quantitative Analyst 4- Financial Analyst So if you Like our effort please rate this app or comment below if you want to give us any suggestions or ideas. Thanks Privacy Policy https://www.freeprivacypolicy.com/privacy/view/e04d63ec5cc622ecbe51e2f7ec31dd96

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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.