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? Explore all the fundamentals of R
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? Create, design, and customize various types of charts in base graphics
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? Unlock R programming concepts
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? Work on a full-scale data analysis project
Are you looking forward to enter into the data science world? Or are you a data scientist and want to explore R to make your job easier? If yes, this course is ideal for you.R is one of the leading languages which is preferred in the data science world. It is an open source programming language and software environment for statistical computing and graphics and is highly extensible. This programming tool is used for performing data import and cleaning, exploration and visualization, statistics and analysis. It is also useful for trading simulations, production, and trading applications. The course begins with installation of R, RStudio and all the necessary R packages. Then, you’ll work with some built-in functions in R. Also, you’ll work with data and strings. Next, you’ll learn core programming, object-oriented programming, and metaprogramming concepts and best practices in it. Moving ahead, you’ll learn to create, design, and customize plots with base graphics. Also, you’ll understand and perform Univariate analysis. Further, you’ll gain knowledge on Chi-sq test, ANOVA, and statistical tests for analyzing numeric and categorical data. Also, you’ll perform tasks on these along with a practical example of full scale data analysis project. Finally, you’ll learn about the two most popular data manipulation packages, dplyr and data.table which are essential while working with large data and also Pipe operators which will massively increase the code readability.
This course is for programmers who want to learn R and get into the field of Data Science. This course is also useful for data analysts and data scientists who want to use R to develop their projects.
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? Explore R language from basic fundamentals to advanced topics
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? Create and master the manipulation of vectors, lists, dataframes, and matrices
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? Deep understanding of core programming, metaprogramming, and object-oriented programming concepts and best practices in it
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? Make and customize various types of charts in base graphics for exceptional data representation
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? Perform univariate analysis and do statistical tests
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? Work on a full-scale data analysis project
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? Write readable and expressive code using pipes from magrittr and dplyr’s verbs