In our data-driven world, organizations need the right tools to extract valuable insights from that data. The R programming language is one of the tools at the forefront of data science. Its robust set of packages and statistical functions makes it a powerful choice for analyzing data, manipulating data, performing statistical tests on data, and creating predictive models from data. Likewise, R is notable for its strong data visualization tools, enabling you to create high-quality graphs and plots that are incredibly customizable.
This Specialization will teach you the fundamentals of programming in R to get you started. It will also teach you how to use R to perform common data science tasks and achieve data-driven results for the business.
This Specialization is designed for students who want to learn the R programming language, particularly students who want to leverage R for data analysis and data science tasks in their organization. The Specialization is also designed for students with an interest in applying statistics to real-world problems.
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In each module, you will apply the R data science skills you learn by building R Notebooks through code. These Notebooks provide an ordered set of tasks for working with realistic business data in various ways, including loading, transforming, analyzing, visualizing, and modeling the data. You will save your work in these Notebooks that you can take with you once you've completed each course.
