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Introduction To Data Science Using R Programming
The power of data is undeniable, especially organized data. This is why currently data scientists rake in an average salary of over $100,000! This is also why Big Data and Data Analytics have become hot topics in todays world.
All things considered we have designed this course aimed at complete beginners as well as intermediate students who want to master the art of data analytics and learn exactly how to make sense of data! The course has been designed to help breakdown everything you need to understand exactly how to get started with Data Science.
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.
In this course, we will focus on familiarizing you not only with the R programming languages basic syntax, but you 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 start by helping you learn about basic data visualizations, after which you will progress onto more advanced concepts and visualization strategies, how to generate maps, implement statistics, clean the data, how to import and export data and so much more!