Learn how to perform data analysis with the 'R' language and software environment, even if you have little or no programming experience. A live practical class introducing the principles and techniques of computer programming using "R"
Learn how to perform data analysis with the 'R' language and software environment, even if you have little or no programming experience. A live practical class introducing the principles and techniques of computer programming using "R"
Congratulations! You are about to begin your quest to become an R programmer. Don’t pull any mental muscles, this course would start you off gently!
Learn 'R' by coding.
This course introduces you to the principles and techniques of computer programming using R. It is an introduction to a variety of numerical and computational problems. R is the ultimate language for data scientists, statisticians, physicists, and many other professionals that need to work with data and want to make their lives easier
You will also learn how to program in R as well as how to use R for effective data analysis. The course covers practical issues in statistical computing which includes programming in R, reading data into R, and accessing R packages. Topics in statistical data analysis will provide working examples.
Course topics include:
Intro to R, R environment, installing libraries and loading packages
Basic objects in R, different data types, testing and changing types, importing data into the R environment
Basic data mining in R
Creating frequency histograms, analyzing different distributions, visualizing data
Basic machine learning algorithms
Creating automated reports using R markdown, report streamlining
Creating an interactive dashboard in R
Learning Objectives:
On completion of this course, participants are expected to be able to:
Learn how to program in R and how to use R for effective data analysis
Access online resources for R and import new function packages into the R workspace
Import, review, manipulate and summarize data sets in R
Perform appropriate statistical tests using R
Requirements
You should have pre-knowledge of statistics and analysis (if not, don't worry, we have the right materials for you.
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You should up-to-date computer system. If using a work computer, make sure you have the ability to download/install the software
You should have a computer camera or external camera for video conferencing, which must be put on during class sessions
You should keep a course notebook for personal notes, reminders, and special codes
Tenacity to study, research and practice lessons.
Attend all pre-reads
Pre-study Exercises
Get familiar with Github, Stack Overflow, Spark, etc
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