R Programming - Intermediate Course - Singapore
Understand how work efficiently in R
- create your own functions
- control structures
- loops and loop alternatives
- tidyverse piping syntax
- create visualisations with ggplot2
R Programming - Intermediate Course - Singapore
Frequently Asked Questions
Meet your Trainer
Tamara Shatar holds a PhD in Agricultural Data Science. She has extensive experience, including many years working as a research scientist focused on data analysis, modelling using machine learning, simulation and other techniques. While working in both academia and at the Australian CSIRO, part of her role included teaching a variety of data analysis skills. Tamara has designed our first Data Analytics Training Course, Using R, to provide beginners with the fundamental tools necessary to start using R for data analysis. She is consistently well reviewed by her students.
What is Remote Training?
We offer some of our more specialist courses in a remote format. At Nexacu, this means you will learn the same content as you would in our classrooms and the same trainer will deliver training but all students will log in from their own premises and device. Our Data Scientist, Tamara will host the Data Analytics training sessions, walking you through the basics of R and answering questions and encouraging discussion along the way.
Why Learn R?
Rather than being a point and click tool, R is a language that is used by writing reusable scripts, enabling automation and repeatable workflows. Because it is a language, it offers a huge amount of flexibility in manipulating data and the ability to write new functions. Even without a background in programming, it is relatively easy to get up and running once you know the basics.
R Programming Intermediate Singapore Course Details
Data Analytics Course Outlines
-
R Basics
-
R Beginner
-
R Intermediate
-
Machine Learning in R
-
R Programming Certification
-
Machine Learning in R Certification
Skills Test
Contact Us
What do I need to know to attend?
- You should have completed our Fundamentals of R and R Beginner course or have basic familiarity with R.
- You will not be expected to code unassisted but will learn more and participate more easily if you have at least a fundamental understanding of R syntax.
- Basic understanding of statistics (mean, median, standard deviation, variance).
R Programming Intermediate Singapore Learning Outcomes
You will develop a better understanding of R and be able to:
- write custom functions
- write more concise code
- use functionals, loops and other control structures
- create graphics with ggplot2.
R Programming Intermediate Singapore Course Content
- Working more efficiently in R
- How to work more efficiently in R
- Vectorization
- Using better functions
- Concise code
- Reusable scripts
- Custom functions
- Loops and other control structures
- Loop alternatives
- Functions to reduce typing
- Printing objects after creating
- with and within
- Inserting multiple quotation marks
- Create your own functions
- Why write your own functions?
- Basics of functions
- What is a function?
- Creating your own functions
- Syntax for writing your own function
- More complex functions
- Ellipses and further arguments
- Scope
- Loading your functions
- Loops and control structures in R
- If and if else
- Loops for loops
- Saving results from a loop
- Improving your code
- While loops
- Repeat loops
- Loop alternatives
- Functionals
- apply functions
- split
- map functions
- map variants
- Returning a vector
- walk
- Loop, apply or map?
- Tidyverse piping syntax
- Purpose
- Using the pipe
- Pipe variants
- The tee operator
- The exposition operator
- Plotting with ggplot2
- The grammar of graphics
- Required components
- Using ggplot()
- Scatterplot
- Line chart
- ggplot2 resources
Contact Us
phone
email
enquiry
What is Remote Training?
-
Login from your desk -
Instructor-led Training -
Your Questions Answered -
Innovative Content -
Microsoft Certified Trainers
