(SCTP) NUS Data Analytics Programme (Classroom & Synchronous e-Learning) (withdrawn w.e.f 31 Dec 2024)
About This Course
At the end of this programme, participants will be able to
- define data problems precisely and reason quantitatively,
- articulate various data types, data collection methods as well as data ethics and privacy issues,
- execute data preparation techniques using off-the-shelf products or through scripting
- select and generate appropriate visualizations using off-the-shelf products or through scripting
- apply effective visual analytics principles to highlight insights in dashboards
- predict patterns and trends using machine learning techniques such as classification, regression, clustering and simple forecasting.
- create data-driven solutions for a capstone project, and communicate effectively to a target audience.
- implement a data analytics project by applying the analytics process methodology
What You'll Learn
At the NUS Faculty of Science, a suite of modules is offered via the Data Analytics Programme (DAP) to prepare participants for data analyst roles in organizations. Through a series of hands-on instructor-led training as well as supervised coaching on real-world data projects, participants develop skills to generate reports, dashboards and analytical solutions catered to business specifications, and turn insights into creating business values for organizations.
Participants will be trained to fill data analyst roles through nine DAP modules:
-Data Analytics Begins With Me
-Data Visualization Begins With Me
-Data Analytics Continues With Me
-Data Visualization Continues With Me
-Quantitative Data Reasoning Bootcamp
-Customer Insights Begins With Me
-Data-Driven Customer Experience
-R for Data Science
-Project
Entry Requirements
At least a polytechnic diploma (or equivalent) with basic understanding of statistics and programming