Making Sense of Business Data: Descriptive Analytics with R
Analytics & Operations
SGD 2,180
(SGD 254 after MAX Funding*)
TBC
NUS Business School
Intermediate
Overview
Use R independently to explore data for better decision making
We are living in the era of big data, with massive amounts of data and algorithms dominating our daily lives. In this fast-paced business environment, enterprises that are able to analyse big data in real-time and leverage the wisdom of the crowds for ideas will have deeper competitive advantages.
To remain relevant in this era, managers and executives will need new skills to understand big data and to derive valuable insights from it.
R is one of the most popular programming languages used for big data analysis, and this course will teach you from scratch, how to start using R.
- Learn to programme in R
- Learn key concepts for importing and cleaning data
- Organise and visualise data effectively to gain business insights
- Present findings in a structured, meaningful, and convincing way to support decision making
By the end of the course, you will be able to use R independently to explore data for better decisions.
![Overview](https://business.nus.edu.sg/wp-content/uploads/sites/72/2021/04/Descriptive-Analytics-with-R-860x450.jpeg)
Topic Coverage
- Fundamental concepts for R programming including data types, data structures and programming structures
- Data wrangling to change raw data into usable data, including data scraping, data cleaning and data transformation
- Making sense of data for decision-making, through statistical summaries and spatial visualisations
Case studies will be used throughout the course to help you understand and apply the concepts.
![Topic Coverage](https://business.nus.edu.sg/wp-content/uploads/sites/72/2021/04/topic-coverage.jpg)
Who Should Attend
Professionals, managers and executives interested in learning R programming to make sense of data.
Application Procedure & Deadline
Participants are strongly advised to apply at least 2 weeks in advance.
Pre-Requisites
No programming knowledge required. However, students with programming experience and statistics knowledge will find the course easier to follow.
Fees & Funding*
Self-Sponsored | SME (ETSS Scheme) Company-Sponsored |
Non-SME Company-Sponsored |
|
Course Fees | S$2,180.00 | S$2,180.00 | S$2,180.00 |
Singapore Citizens & PRs | S$654.00 | S$254.00 | S$654.00 |
Singapore Citizens aged 40 years and above (MCES Scheme) | S$254.00 | S$254.00 | S$254.00 |
The above prices are quoted in Singapore dollars (SGD), inclusive of 9% GST.
*Applicable funding is for Singaporean and Singapore PR. This is subject to change and in accordance with SSG funding guidelines as of course commencement.
Faculty
![LIU, Qizhang](https://business.nus.edu.sg/wp-content/uploads/sites/72/2021/04/Liu-Qizhang-270-255x255.jpg)
LIU, Qizhang
Associate Professor Analytics and OperationsPeople who viewed this course also visited:
All Courses![Business Analytics: Decision Making through Excel (Synchronous e-learning)](https://business.nus.edu.sg/wp-content/uploads/sites/72/2021/06/accounting-1928237_1280-400x255.png)
Business Analytics: Decision Making through Excel (Synchronous e-learning)
We are now in the era of big data. Companies are able to collect a tremendous amount of data, very often more than necessary, with ease at an inexpensive cost.
![Forecasting with Statistics and Simulation](https://business.nus.edu.sg/wp-content/uploads/sites/72/2021/04/Forecasting-with-Statistics-and-Simulation-400x255.jpg)
Forecasting with Statistics and Simulation
This intermediate business analytics course aims to provide you with:
![HR Analytics](https://business.nus.edu.sg/wp-content/uploads/sites/72/2021/09/HR-400x255.jpg)
HR Analytics
In two days, we will introduce you to a diverse set of tools to facilitate your: