Introduction To Data Science Using R Programming
- 3.7
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Brief Introduction
Learn and master data science concepts using R . Learn both analytics and visualization in one single courseDescription
A powerful comprehensive course on mastering data visualization and analytics using R!
Data was once only powerful when it came to making business decisions, but today data plays a more important role and is currently the basis of all the modern business functions. The growing need for organized data has resulted in the higher demands for data scientists, miners and also data analysts.
This is the prime time to join one of the world’s fastest growing industry as a data scientist and all you need to become one is this course!
We have designed this exceptionally comprehensive course at beginners as well as intermediate students who want to master the art of data science and learn exactly how to analyze and organize data to create charts or graphs. The course has been dedicated to helping you understand one of the most important tools of data science – R Statistical Environment.
In addition to the R environment, you will also go over the popular data science R programming language. While there are many other languages that can be used for data science, R has become synonymous with data analytics and has been used industry-wide in data science. R refers to the R programming language as well as R statistical computing environment that is used for statistical computing and graphics. The R language is popularly used among statisticians, data miners, data analysts, etc.
This course focuses on helping breakdown R and R programming language into simple and easy to understand concepts that cover everything you need to know to get started with Data Science. The course will not only help you learn the R language’s basic syntax, but also the computing environment where you will learn exactly how to import data, organize the data, create charts and graphs and also export data.
The course will in-depth cover topics such as Basic Data Visualization, Advanced Data Visualization, Generating Maps using JSON Structures, Implementation of Statistics, Data Munging/Wrangling, Data Manipulation and so much more!
At the end of this course, you will have mastered exactly how to work with data and bend it to your wishes. This is the perfect course for anyone who is looking to make the jump into the world of Data Science.
Enroll now and learn how you can become an expert at data science!
Requirements
- Requirements
- The course assumes basic knolwedge of statistics and mathematics for understanding the concepts
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