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In this course students will learn how to program in R and how to use R for effective data analysis and how to install and configure software necessary for statistical programming environment, discuss generic programming language concepts as they are implemented in a high-level statistical language. It covers practical issues in statistical computing which includes programming in R, reading data into R, organizing and commenting R code.


This course does not involve any written exams. Students need to answer 5 assignment questions to complete the course, the answers will be in the form of written work in pdf or word. Students can write the answers in their own time. Each answer needs to be 200 words (1 Page). Once the answers are submitted, the tutor will check and assess the work.


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Course Credit: JHSPH Open

Course Curriculum

Module: 01
Overview History R 00:10:00
Getting Help 00:10:00
Data Types 00:03:00
Subsetting 00:10:00
Vectorized Operations 00:05:00
Module: 02
Reading and Writing Data Part 1 00:10:00
Reading and Writing Data Part 2 00:10:00
ControlStructures 00:10:00
functions 00:10:00
lapply 00:10:00
Module: 03
tapply 00:05:00
split 00:10:00
mapply 00:05:00
apply 00:05:00
Coding Standards 00:05:00
Module: 04
Dates and Times 00:10:00
Scoping Rules 00:15:00
Debugging Tools 00:10:00
simulation 00:10:00
R Profiler 00:10:00
Submit Your Assignment 00:00:00
Certification 00:00:00

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