Introduction to R for Data Science
Self-Paced LearningLearning Style
12 HoursCourse Duration
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ABOUT THIS COURSE
R is rapidly becoming the leading language in data science and statistics. Today, R is the tool of choice for data science professionals in every industry and field. Whether you are full-time number cruncher, or just the occasional data analyst, R will suit your needs.
This introduction to R programming course will help you master the basics of R. In seven sections, you will cover its basic syntax, making you ready to undertake your own first data analysis using R. Starting from variables and basic operations, you will eventually learn how to handle data structures such as vectors, matrices, data frames and lists. In the final section, you will dive deeper into the graphical capabilities of R, and create your own stunning data visualizations. No prior knowledge in programming or data science is required.
What makes this course unique is that you will continuously practice your newly acquired skills through interactive in-browser coding challenges using the DataCamp platform. Instead of passively watching videos, you will solve real data problems while receiving instant and personalized feedback that guides you to the correct solution.
- Introductory R language fundamentals and basic syntax
- What R is and how it’s used to perform data analysis
- Become familiar with the major R data structures
- Create your own visualizations using R
- None, but previous experience in basic mathematics is helpful.
|Learning Style||Self-Paced Learning|
|Course Duration||12 Hours|
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