Об этом курсе: In this course you will learn how to program in R and how to use R for effective data analysis. You will learn how to install and configure software necessary for a statistical programming environment and describe generic programming language concepts as they are implemented in a high-level statistical language. The course covers practical issues in statistical computing which includes programming in R, reading data into R, accessing R packages, writing R functions, debugging, profiling R code, and organizing and commenting R code. Topics in statistical data analysis will provide working examples.
Для кого этот курс: Some programming experience (in any language) is recommended.
Автор: Johns Hopkins University
Преподаватели: Roger D. Peng, PhD, Associate Professor, Biostatistics
Bloomberg School of Public Health
Преподаватели: Jeff Leek, PhD, Associate Professor, Biostatistics
Bloomberg School of Public Health
Преподаватели: Brian Caffo, PhD, Professor, Biostatistics
Bloomberg School of Public Health
| Основные сведения | Курс 2 из 10 — Data Science Specialization |
| Уровень | Учащийся среднего уровня |
| Язык | English, Субтитры: French, Chinese (Simplified), Vietnamese, Japanese |
| Как пройти курс | Чтобы пройти курс, выполните все оцениваемые задания. |
| Оценки пользователей |
Программа курса
НЕДЕЛЯ 1
Week 1: Background, Getting Started, and Nuts & Bolts
This week covers the basics to get you started up with R. The Background Materials lesson contains information about course mechanics and some videos on installing R. The Week 1 videos cover the history of R and S, go over the basic data types in R, and describe the functions for reading and writing data. I recommend that you watch the videos in the listed order, but watching the videos out of order isn't going to ruin the story.
28 видео, 9 материала для самостоятельного изучения
- Reading: Welcome to R Programming
- Reading: About the Instructor
- Reading: Pre-Course Survey
- Reading: Syllabus
- Reading: Course Textbook
- Reading: Course Supplement: The Art of Data Science
- Reading: Data Science Podcast: Not So Standard Deviations
- Видео: Installing R on Windows
- Видео: Installing R Studio (Mac)
- Видео: Writing Code / Setting Your Working Directory (Windows)
- Видео: Writing Code / Setting Your Working Directory (Mac)
- Reading: Getting Started and R Nuts and Bolts
- Видео: Introduction
- Видео: Overview and History of R
- Видео: Getting Help
- Видео: R Console Input and Evaluation
- Видео: Data Types - R Objects and Attributes
- Видео: Data Types - Vectors and Lists
- Видео: Data Types - Matrices
- Видео: Data Types - Factors
- Видео: Data Types - Missing Values
- Видео: Data Types - Data Frames
- Видео: Data Types - Names Attribute
- Видео: Data Types - Summary
- Видео: Reading Tabular Data
- Видео: Reading Large Tables
- Видео: Textual Data Formats
- Видео: Connections: Interfaces to the Outside World
- Видео: Subsetting - Basics
- Видео: Subsetting - Lists
- Видео: Subsetting - Matrices
- Видео: Subsetting - Partial Matching
- Видео: Subsetting - Removing Missing Values
- Видео: Vectorized Operations
- Видео: Introduction to swirl
- Reading: Practical R Exercises in swirl Part 1
- Ungraded Programming: swirl Lesson 1: Basic Building Blocks
- Ungraded Programming: swirl Lesson 2: Workspace and Files
- Ungraded Programming: swirl Lesson 3: Sequences of Numbers
- Ungraded Programming: swirl Lesson 4: Vectors
- Ungraded Programming: swirl Lesson 5: Missing Values
- Ungraded Programming: swirl Lesson 6: Subsetting Vectors
- Ungraded Programming: swirl Lesson 7: Matrices and Data Frames
Оцениваемый: Week 1 Quiz
НЕДЕЛЯ 2
Week 2: Programming with R
Welcome to Week 2 of R Programming. This week, we take the gloves off, and the lectures cover key topics like control structures and functions. We also introduce the first programming assignment for the course, which is due at the end of the week.
13 видео, 3 материала для самостоятельного изучения
- Reading: Week 2: Programming with R
- Видео: Control Structures - If-else
- Видео: Control Structures - For loops
- Видео: Control Structures - While loops
- Видео: Control Structures - Repeat, Next, Break
- Видео: Your First R Function
- Видео: Functions (part 1)
- Видео: Functions (part 2)
- Видео: Scoping Rules - Symbol Binding
- Видео: Scoping Rules - R Scoping Rules
- Видео: Scoping Rules - Optimization Example (OPTIONAL)
- Видео: Coding Standards
- Видео: Dates and Times
- Reading: Practical R Exercises in swirl Part 2
- Ungraded Programming: swirl Lesson 1: Logic
- Ungraded Programming: swirl Lesson 2: Functions
- Ungraded Programming: swirl Lesson 3: Dates and Times
- Reading: Programming Assignment 1 INSTRUCTIONS: Air Pollution
Оцениваемый: Week 2 Quiz
Оцениваемый: Programming Assignment 1: Quiz
НЕДЕЛЯ 3
Week 3: Loop Functions and Debugging
We have now entered the third week of R Programming, which also marks the halfway point. The lectures this week cover loop functions and the debugging tools in R. These aspects of R make R useful for both interactive work and writing longer code, and so they are commonly used in practice.
8 видео, 2 материала для самостоятельного изучения
- Reading: Week 3: Loop Functions and Debugging
- Видео: Loop Functions - apply
- Видео: Loop Functions - mapply
- Видео: Loop Functions - tapply
- Видео: Loop Functions - split
- Видео: Debugging Tools - Diagnosing the Problem
- Видео: Debugging Tools - Basic Tools
- Видео: Debugging Tools - Using the Tools
- Reading: Practical R Exercises in swirl Part 3
- Ungraded Programming: swirl Lesson 1: lapply and sapply
- Ungraded Programming: swirl Lesson 2: vapply and tapply
Оцениваемый: Week 3 Quiz
Оцениваемый: Programming Assignment 2: Lexical Scoping
НЕДЕЛЯ 4
Week 4: Simulation & Profiling
This week covers how to simulate data in R, which serves as the basis for doing simulation studies. We also cover the profiler in R which lets you collect detailed information on how your R functions are running and to identify bottlenecks that can be addressed. The profiler is a key tool in helping you optimize your programs. Finally, we cover the str function, which I personally believe is the most useful function in R.
6 видео, 4 материала для самостоятельного изучения
- Reading: Week 4: Simulation & Profiling
- Видео: Simulation - Generating Random Numbers
- Видео: Simulation - Simulating a Linear Model
- Видео: Simulation - Random Sampling
- Видео: R Profiler (part 1)
- Видео: R Profiler (part 2)
- Reading: Practical R Exercises in swirl Part 4
- Ungraded Programming: swirl Lesson 1: Looking at Data
- Ungraded Programming: swrl Lesson 2: Simulation
- Ungraded Programming: swirl Lesson 3: Base Graphics
- Reading: Programming Assignment 3 INSTRUCTIONS: Hospital Quality
- Reading: Post-Course Survey
Оцениваемый: Week 4 Quiz
Оцениваемый: Programming Assignment 3: Quiz
Часто задаваемые вопросы
Как это работает
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Авторы
Johns Hopkins University
The mission of The Johns Hopkins University is to educate its students and cultivate their capacity for life-long learning, to foster independent and original research, and to bring the benefits of discovery to the world.
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Рейтинги и отзывы
Very informative for starters.
The exam put all we saw in practice
More examples please
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YQ
It would be better if there are more programming practice to