Data Science Fundamentals In R
This course teaches fundamental statistical concepts and how to use R statistical packages for programming. Additionally, topics such as Data Mining and Data Visualization are covered as well.
- Course Description
- Course Objectives
- Reference Materials
- Learning R
- Target Audience
- Course Relevance
This is a 6-lesson course on data analytics using R. This course will introduce you to important data analytics practices used by businesses today. We will explore key areas such as the analytical process, how data is created, stored, accessed, and how the organization works with data.
Moreover, in this course, you will learn fundamental statistical concepts and understand how to analyze data using statistical tools as implemented through R programming packages. You will also learn introductory programming concepts such as data structures and programming logic as implemented in R.
This course also provides a basis for going deeper into advanced investigative and computational methods, which you have an opportunity to explore in future data analytics courses.
No prerequisites are required. No prior R programming experience is assumed.
At the end of this course, students should be able to use R to process and analyze data by choosing appropriate statistical tools and models, and understand how to use the data to make business decisions.
Introduction to Statistical Learning with Applications in R (ISLR), James, G., Witten, D., Hastie, T. and Tibshirani, R. (4th edition), Springer Statistics.
Available free here.
There are a great many different resources available to get started with R. Here are some pointers:
- Software: Download R, R-Project, RStudio Editor, New York Times Article on R
- Basic Tutorials: ISLR Chapter 2.3, pg. 42-49, Google Developer, Princeton
- Some books:An Introduction to R, R in a Nutshell, Art of R Programming
This course is targeted at working professionals who are interested in learning basic foundation knowledge about data science. It covers projects for different industries such as Retail, Telco and Sports.
Mid-level professionals taking up job positions such as Marketing, Human Resources and Strategy Planning will be able to use their skills to enhance their job performance.
The price of this course will be set at $160 (Singapore Dollars) for a six session course that is two hours long.
Drop us an email if you are interested!
This course covers the fundamental material for all university programs (NUS/NTU/SMU/SIT/SUTD/SUSS) in Singapore in the area of Data Science and Analytics.