Monthly Subscription Starting at AED 99 + VAT

Advanced R Programming
  • Level Professional
  • المدة 18 ساعات hours
  • الطبع بواسطة Johns Hopkins University
  • Offered by

عن

This course covers advanced topics in R programming that are necessary for developing powerful, robust, and reusable data science tools. Topics covered include functional programming in R, robust error handling, object oriented programming, profiling and benchmarking, debugging, and proper design of functions. Upon completing this course you will be able to identify and abstract common data analysis tasks and to encapsulate them in user-facing functions. Because every data science environment encounters unique data challenges, there is always a need to develop custom software specific to your organization’s mission. You will also be able to define new data types in R and to develop a universe of functionality specific to those data types to enable cleaner execution of data science tasks and stronger reusability within a team.

الوحدات

Welcome

    • 1 Videos
    • 3 Readings
Show info about module content

1 Videos

  • Welcome to Advanced R Programming

3 Readings

  • Syllabus
  • Course Textbook: Mastering Software Development in R
  • swirl Assignments

Control Structures

    • 6 Readings
Show info about module content

6 Readings

  • Control Structures Overview
  • if-else
  • for Loops
  • Nested for loops
  • next, break
  • Summary

Functions

    • 11 Readings
Show info about module content

11 Readings

  • Functions Overview
  • Code
  • Function interface
  • Default values
  • Re-factoring code
  • Dependency Checking
  • Vectorization
  • Argument Checking
  • R package
  • When Should I Write a Function?
  • Summary

Swirl: Functions - Automatic Submission

    • 1 Programming
Show info about module content

1 Programming

  • Swirl Lesson

Swirl: Functions - Manual Submission

    • 1 Assignment
Show info about module content

1 Assignment

  • Swirl Lesson

Functional Programming

    • 11 Readings
Show info about module content

11 Readings

  • What is Functional Programming?
  • Core Functional Programming Functions
  • Map
  • Reduce
  • Search
  • Filter
  • Compose
  • Partial Application
  • Side Effects
  • Recursion
  • Summary

Expressions & Environments

    • 3 Readings
Show info about module content

3 Readings

  • Expressions
  • Environments
  • Execution Environments

Error Handling and Generation

    • 5 Readings
Show info about module content

5 Readings

  • What is an error?
  • Generating Errors
  • When to generate errors or warnings
  • How should errors be handled?
  • Summary

Swirl: Functional Programming with purrr - Automatic Submission

    • 1 Programming
Show info about module content

1 Programming

  • Swirl Lesson

Swirl: Functional Programming with purrr - Manual Submission

    • 1 Assignment
Show info about module content

1 Assignment

  • Swirl Lesson

Debugging

    • 8 Readings
Show info about module content

8 Readings

  • Debugging Overview
  • traceback()
  • Browsing a Function Environment
  • Tracing Functions
  • Using debug() and debugonce()
  • recover()
  • Final Thoughts on Debugging
  • Summary

Profiling

    • 5 Readings
Show info about module content

5 Readings

  • Profiling Overview
  • microbenchmark
  • profvis
  • Find out more
  • Summary

Non-standard evaluation

    • 2 Readings
Show info about module content

2 Readings

  • Non-standard evaluation
  • Summary

Debugging, Profiling, and Non-standard Evaluation Quiz

    • 1 Assignment
Show info about module content

1 Assignment

  • Debugging and Profiling

OOP

    • 6 Readings
Show info about module content

6 Readings

  • OOP Overview
  • Object Oriented Principles
  • S3
  • S4
  • Reference Classes
  • Summary

Gaining Your 'tidyverse' Citizenship

    • 5 Readings
Show info about module content

5 Readings

  • Overview
  • Reuse existing data structures
  • Compose simple functions with the pipe
  • Embrace functional programming
  • Design for humans

Summative Assessment

    • 1 PeerReview
Show info about module content

1 Peer Review

  • Functional and Object-Oriented Programming

Auto Summary

Unlock the potential of R programming with the Advanced R Programming course, designed for professionals in Data Science & AI. Guided by expert instructors from Coursera, this comprehensive course delves into essential advanced R topics, including functional programming, robust error handling, object-oriented programming, and more. You'll gain the skills to create powerful, reusable data science tools and custom software tailored to your organization's unique data challenges. With a total duration of 1080 minutes, this professional-level course ensures you master the design of functions, debugging, profiling, and benchmarking. Additionally, you'll learn to define new data types in R, enhancing the efficiency and reusability of your data science tasks within your team. Opt for the Starter subscription to begin your journey toward advanced R programming expertise. Ideal for data science professionals seeking to elevate their programming skills and develop robust, mission-specific software solutions.

Roger D. Peng, PhD
Instructors

Roger D. Peng, PhD

Brooke Anderson
Instructors

Brooke Anderson