R Crash Course - Learn R-programming in 2 hours: R & RStudio
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‘R Crash Course – a short and concise introduction to R and R Studio, R-programming for the Beginners’
This is an R crash course for anyone who previously had no or very little contact with script-based programming in R.
The main goal is to establish the basic understanding needed for more advanced courses that use the R language, RStudio, and R-programming for example, for data science, machine learning, or statistical analysis in R. This is also a baseline course that I will recommend to my students to take to refresh their knowledge on learning R-programming language for my upcoming data science courses in R.
The best about this course that is in a very concise manner (2 hours!) you will be able to learn all the fundamentals of R-programming that will enable you to get started with R!
What will you learn in this course:
§ Package Management
§ Calculate with R
§ Variables
§ Vectors
§ Matrices
§ Lists
§ Data frames
§ Missing values
§ Functions
§ Control Structures
§ For loops
All the R-scripts used in this course will be also provided to you.
The course is ideal for professionals such as data scientists, statisticians, geographers, programmers, social scientists, geologists, and all other experts who need to use statistics & data science in their field.
This course is NOT for you if you an intermediate or advanced user of R and don’t need an introduction to R programming!
Let’s get started!
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2What is R and RStudio?Video lesson
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3How to install R and RStudio in 2020Video lesson
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4Lab: Install R and RStudio in 2020Video lesson
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5Get started with R in RStudio: overviewVideo lesson
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6Lab: Get started with R in RStudioVideo lesson
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7Assignment: Install and Configure R and RStudioText lesson
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8What are the Packages in R?Video lesson
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9Lab: Installing Packages and Package Management in RVideo lesson
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10About Calculations in RVideo lesson
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11Lab: Calculations in RVideo lesson
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12Variables in R and assigning Variables in RVideo lesson
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13Lab: Variables in R and assigning Variables in RVideo lesson
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14Overview of data types and data structures in RVideo lesson
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15Lab: Overview of data types and data structures in RVideo lesson
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16Data types and data structures: Vectors in RVideo lesson
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17Vectors' operations in RVideo lesson
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18Lab: Vectors' operations in RVideo lesson
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19Data types and data structures: FactorsVideo lesson
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20Read Data into RVideo lesson

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