R Programming

Course Information

Duration: 36 Weeks

Time 1 Hour/Week

CI Code: CODE102

Location: Virtual, Live

Course Fee: Free With Membership / $199 Without Membership

Start Date: Course Schedule Below

Course Time: Check Registration

Student Age Eligibility: 8 - 17 Years

CI Courses

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Expert teachers

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Virtual Students

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Course Hours

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Why Coding Institute

Study R Programming with CI

Objective: This course introduces students to R, a powerful programming language used for statistical computing and data analysis. Students will learn the fundamentals of R syntax, data manipulation, and visualization techniques essential for data science.
Methods: Hands-on coding exercises, real-world datasets, and practical applications to develop proficiency in R programming.
Skills Gained: Ability to write and debug R code, perform data manipulation and analysis, create visualizations, and apply statistical methods to real-world data.

Available Start Dates & Times

* ALL COURSES ARE 1 HOUR LONG AND FOLLOW EASTERN TIME

Course Details

This Class is a Virtual Live Class

Modules

The modules listed below are those currently intended for delivery in the current academic intake of this course. These may be subject to change in future years as the University regularly revises.

Semester 1

Weeks 1 - 12: Introduction to R and RStudio

Topics: Overview of R, installation of R and RStudio, introduction to R scripts, basic operations, data frames, writing data to files.

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Semester 2

Weeks 1 - 12: Data Manipulation with DPLYR

Topics: Introduction to the dplyr package, data wrangling functions (filter, select, mutate), reshaping datasets, creating basic plots, correlation analysis.

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Semester 3

Weeks 1 - 12: Advanced Data Visualization

Topics: Customizing plots, adding labels, and creating multi-panel plots, introduction to CRAN, integrating R code with text, project work.

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Careers

Learning Outcomes

By the end of this course, students will be able to:

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Journey Towards Success

Highlights

Comprehensive Learning:

Detailed study for foundational learning and development in coding.

Interactive Learning:

Virtual labs, simulations, and real-world case studies.

Expert Instruction:

Live teaching from experienced professionals in the field.

Career Preparation:

Foundation for advanced studies and careers in coding.

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Code Institute uniquely designed to provide the coding experience to students aged 8 – 17. CI does not discriminate on the basis of race, national origin, gender, or disability.