R Programming Training in Hong Kong

  • Learn via: Classroom / Virtual Classroom / Online
  • Duration: 3 Days
  • Price: Please contact for booking options
We can host this training at your preferred location. Contact us!

In this course you will learn how to program in R and how to use R for effective data analysis. You will learn how to install and configure software necessary for a statistical programming environment and describe generic programming language concepts as they are implemented in a high-level statistical language. The course covers practical issues in statistical computing which includes programming in R, reading data into R, accessing R packages, writing R functions, debugging, profiling R code, and organizing and commenting R code. Topics in statistical data analysis will provide working examples.

There are no prerequisites for this course.

Data scientists, programmer and business analysts should attend.

  • Collect detailed information using R profiler
  • Configure statistical programming software
  • Make use of R loop functions and debugging tools
  • Understand critical programming language concepts 

1. Understanding of R System and installation and configuration of R-Environment and R-Studio

2. Understanding R Packages, their installation and management

3. Understanding of nuts and bolts of R:

               a. R program Structure

               b. R Data Type, Command Syntax and Control Structures

               c. File Operations in R

4. Application of R Programming in Daily life problems

5. Preparing Data in R

             a. Data Cleaning

             b. Data imputation

            c. Data conversion

6. Visualizing data using R with different type of graphs and charts

7. Applying R Advance features to solve complex problems and finetuning R Processes

Contact us for more detail about our trainings and for all other enquiries!

Upcoming Trainings

Join our public courses in our Hong Kong facilities. Private class trainings will be organized at the location of your preference, according to your schedule.

03 January 2025 (3 Days)
Hong Kong, Kowloon, Tsuen Wan
Classroom / Virtual Classroom
21 January 2025 (3 Days)
Hong Kong, Kowloon, Tsuen Wan
Classroom / Virtual Classroom
23 January 2025 (3 Days)
Hong Kong, Kowloon, Tsuen Wan
Classroom / Virtual Classroom
03 January 2025 (3 Days)
Hong Kong, Kowloon, Tsuen Wan
Classroom / Virtual Classroom
21 January 2025 (3 Days)
Hong Kong, Kowloon, Tsuen Wan
Classroom / Virtual Classroom
23 January 2025 (3 Days)
Hong Kong, Kowloon, Tsuen Wan
Classroom / Virtual Classroom
27 February 2025 (3 Days)
Hong Kong, Kowloon, Tsuen Wan
Classroom / Virtual Classroom
16 March 2025 (3 Days)
Hong Kong, Kowloon, Tsuen Wan
Classroom / Virtual Classroom
R Programming Training Course in Hong Kong

Hong Kong is officially known as the Hong Kong Special Administrative Region of the People's Republic of China (HKSAR) and is a city and special administrative region of China on the eastern Pearl River Delta in South China. Hong Kong is one of the most densely populated places in the world, with over 7.5 million population. The official languages of the HKSAR are Chinese and English. Hong Kong is a highly developed territory and ranks fourth on the United Nations Human Development Index and the residents of Hong Kong have the highest life expectancies in the world.

The best time to visit Hong Kong is from September to December, since the temperatures, averaging between 19 to 28 degree Celsius. During this outdoor activities-friendly travelling season, you can take a walk along Victoria Harbour, visit the islands of Lantau, Lamma and Cheung Chau and participate in the Mid-Autumn Festival. Top choices of the tourists to visit in Hong Kong are Big Buddha statue, Wong Tai Sin Temple, Repulse Bay and the Beaches and Hong Kong Disneyland.

Explore our diverse range of IT courses, encompassing programming, software development, cyber security, data science, business skills, and Agile/Scrum. Wherever you are in Hong Kong, our seasoned instructors will bring practical training and expert knowledge to your preferred training venue.

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