2-Day Workshop Foundation in “R” Programming

Take your first steps with R programming! This 2 Day practical workshop and hands-on course aims to help you gain a working understanding of R for Data science. The course aims to quickly bring up to speed a programmer or business analyst who already knows how to programme in other language or have done advanced Excel macros to begin using R as a data science tool. Within the R software environment, you will learn to apply R using statistical concepts and data analysis techniques simultaneously to solve mathematical probabilities questions and specific problems.

• Fundamental R programming skills
• How to use R for basic data manipulations on common data types
• Create data visualization with R
• Create basic analytics models with R
• Understand Statistical concepts and how to apply them using R scripting
• Perform data analysis using machine learning methods
• Draw inferences from the data analysis – Using R for machine learning
• Debug coding techniques
• Hands-on practices to reinforce your working knowledge

• This course is suitable for Software Engineers, Programmers, Data Analysts, quants and IT professionals who want a crash course in an end-to-end data science workflow that is completely implemented in R. It is also suitable for professionals who seek to understand the ecosystem and community behind R and make it a powerful and cost-effective application for their enterprise.
• This course is suitable for Individuals who are familiar with a programming language such as Python, Java, C/C++ and are seeking more advanced analytical skills.
• Suited for executives seeking to gain foundational understanding of using R for coding/programming
• Mid-career transition for non-IT working professionals
• Anyone who are keen to kickstart a journey to learn coding at fundamental level

Note: Participant is required to bring their own laptop with access to internet (WiFi network will be provided)

“Steve showed genuine interests in training and engaging learners. I enjoyed this course I took with him and would recommend this course for IT as well as non-IT professionals as well.” Kang GK, IT professional

“I am glad I attended this 2-day course. It was time well spent with Steve as I really learnt much from him and with the knowledge gained, I will certainly put in good use.” A. Lim, Analyst in Finance Industry

Steve has over 20 years of experience in IT & Programming Training and Consultancy. He started his career as a software developer and systems integrator on automation projects for semiconductor wafer fabs in Taiwan, France and Singapore, before taking up a management role to setup and take charge of IT operations for a pharmaceutical manufacturing facility in Singapore. With years of work experience globally and locally spanning across a multitude of industries, he is good at building rapport and collaborated with people of different cultures & business practices. He firmly believes in good business practice and sincerely wish to deliver win-win positive outcomes and impart knowledge to people he interact with

Get Started in R Programming

• Introduction to coding/programming
• An Overview of R
• Install and explore RStudio IDE
• R Statements and Scripts

R Data Types                                               

• Numbers and characters
• Data String
• Vector
• Matrix
• Array
• Data Frame
• List
• Factor

R Packages & Datasets                 

• Import R Packages
• Import R Data Sets
• Import External Data
• Export Data

R for Data Visualization

• Line Chart
• Pie chart
• Bar chart
• Histogram
• Boxplot
• Scatter Plot

R Structures for Iteration and Function

• Control Structures
• Loop
• Break & Next
• Function

R applications on Statistics

• Statistical Analysis
• Correlation Analysis
• Regression Methods
• Hypothesis Testing
• Analysis of Variance

Hands-on Session for each topic presented

Case Study Practical