Description

Welcome to this course on R programming, where you will learn to write code in R by implementing various concepts. As you might already be aware that R is not like general purpose programming languages, but optimized specifically to do complex mathematical tasks, finding insights from huge dataset and plotting the insights in form of Visualization charts. These capabilities make R, the most widely used language when it comes to Data Science, Data Analysis and Business Intelligence.

This course would teach you everything in R programming right from the scratch, so don't worry if you an absolute beginner. Moreover, if you have already used python or R previously, this course would take your skillset to the professional levels.

Why you should learn R?

It helps Data Analysts and Data Scientists perform many data-related tasks, such as data storage and data analysis, and can be used to create customized dashboards and data visualizations. R is a high-level language that has easier syntax as compared to other programming languages such as C, C++, Java, python, dot net. If you are skilled in R programming, it will add a significant value on your Resume and could help you get an aspirational career opportunity.

Course Objectives

To learn how to write code using R programming language by implementing various concepts and functionalities that can be used for Data Analysis, Data Visualization and Data Science.

Target Audience

Anyone who is curious to learn R programming language for Data Science

Students, Developers, Analysts and just everyone who is interested in learning to code in R.

Basic Understanding

If you already know some programming language such as C, C++, java, python or any other programming language, it would be helpful. But it is NOT mandatory, as we will cover everything from scratch.

Course Content

No sessions available.

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Simpliv LLC
39658 Mission Boulevard,
Fremont, CA 94539, USA

Learn R programming for Data Science

Session 1: Fundamentals of R

No lectures available

Session 2: Datatypes and Variables

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Session 3: Math functions- max, min, sqrt, ceiling, floor, abs

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Session 4: String functions

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Session 5: Boolean

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Session 6: Operators in R- Arithmetic, Assignment, Comparison, Logical, Miscellaneous

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Session 7: Control statements- if else, switch case, if else ladder and nested if

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Session 8: Loop- for, while, repeat, break, next, nested

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Session 9: Creating functions, parameters and arguements

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Session 10: Recursion

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Session 11: Data Structures in R

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Session 12: Vector, List, Matrices

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Session 13: Arrays, Data Frames, Factors

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Session 14: Data Visualization in R- Plot

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Session 15: Line, Bar, Scatterplot, Pie charts, histogram

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Session 16: Statistics in R with mtcars

No lectures available

Coupons

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