R Crash Course - Learn R-programming in 2 hours: R & RStudio
What you'll learn
- This is a 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 uses R language, RStudio and R-programming
- Learn how to install R and RStudio on your computer
- The best about this course that in very concise manner: you will be able to learn all the fundamentals of R-programming in 2 hours!
- You will learn Package Management in R & RStudio
- How to calculate in R & RStudio
- All data types in R-language
- Learn about data frames, indexing data frames and dealing with the missing values in R & RStudio
- Learn about functions, control structures and for loops in R & RStudio
- All the R-scripts used in this course will be also provided to you
Course content
- Preview03:00
Requirements
- Computer & interenet connection
Description
'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!
Who this course is for:
- 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!
Instructors
![Kate Alison](data:image/svg+xml,%3Csvg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 64 64"%3E%3C/svg%3E){kind=avatar}
- 4.3 Instructor Rating
- 1,197 Reviews
- 40,185 Students
- 26 Courses
I am a passionate data scientist, Earth Observation (EO), and GIS expert and educator. I received my M.Sc. in Earth Observation and applied data science from the University of Southampton (United Kingdom) and I also hold a Ph.D. Degree in EO from Germany. I do regular teaching and training all over the world as well as do regularly consultancies on the mentioned topic. I have thousands of satisfied clients all over the world! And now I will be glad if I can teach also you these interesting, highly applied, and exciting topics!
For GIS & Remote Sensing students:
If you would like to learn comprehensively geospatial data analysis, here is a preferred order for how to take my courses:
Option 1: Take all individual courses that have more details on specific subjects, more lectures, and more labs in the following order:
1. Get started with GIS & Remote Sensing in QGIS #Beginners
2. Remote Sensing in QGIS: Fundamentals of Image Analysis 2020
3. Core GIS: Land Use and Land Cover & Change Detection in QGIS
4. Machine Learning in GIS: Understand the Theory and Practice
5. Machine Learning in GIS: Land Use/Land Cover Image Analysis
6. Machine Learning in ArcGIS: Map Land Use/ Land Cover in GIS
7. Object-based image analysis & classification in QGIS/ArcGIS
8. ArcGIS: Learn Deep Learning in ArcGIS to advance GIS skills
8. Google Earth Engine for Big GeoData Analysis: 3 Courses in 1
10. Google Earth Engine for Machine Learning & Change Detection
11. QGIS & Google Earth Engine for Environmental Applications
Option 2: Take my ‘joint’ courses that contain summarized information from the above courses, though in fewer details (labs, videos):
1. Geospatial Data Analyses & Remote Sensing: 4 Classes in 1
2. Machine Learning in GIS and Remote Sensing: 5 Courses in 1
3. Google Earth Engine for Big GeoData Analysis: 3 Courses in 1
4. Google Earth Engine for Machine Learning & Change Detection
- 4.4 Instructor Rating
- 326 Reviews
- 22,491 Students
- 8 Courses
Ich bin ein erfahrener Berater und Experte in Data Science. Ich habe mein MSc in Informatik an der TH Köln und MBA an der Universität Durham (UK) erlangt und habe mich später im Fachbereich Informatik promoviert. Als erfahrene Trainer mit mehr als 15 Jahren Berufserfahrung möchte ich meine Leidenschaft, praktische Erfahrungen und Kenntnisse in den Themen Big Data, Data Science, Data Analytics und IT management mit den anderen teilen und die praktische Kompetenzen von meinen Studenten auf ein sehr hohes Niveau bringen.