Mastering Software Development in R

Mastering Software Development in R course provide by Johns Hopkins University

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Created by Johns Hopkins University Staff Last updated Wed, 16-Mar-2022 English


Mastering Software Development in R free videos and free material uploaded by Johns Hopkins University Staff .

Syllabus / What will i learn?

Course 1: The R Programming Environment

- Offered by Johns Hopkins University This course provides a rigorous introduction to the R programming language, with a particular focus on  Enroll for free

Course 2: Advanced R Programming
- Offered by Johns Hopkins University This course covers advanced topics in R programming that are necessary for developing powerful, robust,  Enroll for free
Course 3: Building R Packages
- Offered by Johns Hopkins University Writing good code for data science is only part of the job. In order to maximizing the usefulness and  Enroll for free
Course 4: Building Data Visualization Tools
- Offered by Johns Hopkins University The data science revolution has produced reams of new data from a wide variety of new sources These  Enroll for free
Course 5: Mastering Software Development in R Capstone
- Offered by Johns Hopkins University R Programming Capstone Enroll for free



Curriculum for this course
0 Lessons 00:00:00 Hours
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Description

R is a programming language and a free software environment for statistical computing and graphics, widely used by data analysts, data scientists and statisticians This Specialization covers R software development for building data science tools As the field of data science evolves, it has become clear that software development skills are essential for producing and scaling useful data science results and products This Specialization will give you rigorous training in the R language, including the skills for handling complex data, building R packages, and developing custom data visualizations You’ll be introduced to indispensable R libraries for data manipulation, like tidyverse, and data visualization and graphics, like ggplot2 You’ll learn modern software development practices to build tools that are highly reusable, modular, and suitable for use in a team-based environment or a community of developers This Specialization is designed to serve both data analysts, who may want to gain more familiarity with hands-on, fundamental software skills for their everyday work, as well as data mining experts and data scientists, who may want to use R to scale their developing and programming skills, and further their careers as data science experts

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Material price :

Free

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