Key Takeaways
At the end of the course, learners will be able to:
● Pre-process textual data into structured representation for further modelling.
● Identify main themes or topics in the collection of documents or textual data (e.g. the prominent issues reflected in case reports).
● Classify documents into predefined categories by building a model from labelled data, such as a classifier to assign reports to known types of issues for further investigation.
● Extract information of interest from text as structured data to enable integration into the traditional data mining process.
● Incorporate business understanding and domain knowledge into the analysis through lexical and knowledge resources.
Structure
● Course duration: 6 weeks.
● Learners are recommended to set aside three to four hours of focused learning time to get the most out of the course.
● This course is designed to be self-paced and cohort-based, with 3 synchronous live sessions via Zoom. Content will be released on a weekly basis.
● Throughout the course, learners are expected to actively contribute to the group activities and are encouraged to apply the knowledge learnt. They will have ample opportunities to do so via discussions, peer learning, workshops, assessments, and applications.
Live Sessions
Learners are required to attend the mandatory Live Sessions scheduled (via Zoom) as part of the course requirement. This will help to reinforce learning with the cohort. Please refer to the schedule below for each class:
Class 1
January – February 2023
● Live session 1: Fri, 20 Jan 2023, 2pm – 3.30pm *
● Live session 2: Fri, 3 Feb 2023, 2pm – 3.30pm *
● Live session 3: Fri, 17 Feb 2023, 2pm – 3.30pm *
* All sessions are in Singapore Time.
Who Should Attend
This course is appropriate for:
● Both Business analytics and non-business analytics professionals, such as Business and IT professionals seeking analytical skills to handle large amounts of textual data (e.g. customer feedbacks, product reviews on social media, etc.) for insights to improve business process and decision making.
● Individuals who have no knowledge or experience in text analytics and would like to gain some knowledge in this area so that they may explore work opportunities in business analytics.
● Data analysts, business users and IT professionals who want to move from the structured data to large amounts of unstructured, text data.
Fees And Funding
| Type of Learners |
Course Fee |
Total course fee payable, including GST |
| Learners residing in Singapore (SGD)
|
SGD 900 |
SGD 963 |
| Learners residing outside Singapore (USD) |
USD 700 |
USD 700 |
Things To Note
● The NUS-ISS Certificate of Completion will be issued to learners who have met the course requirements successfully. This will include attending all synchronous Zoom sessions and completing the learning activities, workshops and assessments (where applicable).
● Read the terms and conditions of NUS-ISS Course Registration here.
● Read about NUS-ISS and Learner’s Commitment and Responsibilities here.
● All classes are subject to confirmation and NUS-ISS will send an acceptance email to learners one week prior to the commencement date.
● All responses to feedback and surveys conducted by NUS-ISS and its partners must be submitted by learners.