DATA VISUALISATION FOR INSIGHTS (Part of SCTP Certificate in Data Analytics with AI) (Classroom Facilitated Learning)

Training Provider: Nanyang Polytechnic
Course Reference: TGS-2025054804
S$320
Original: S$1,067
Save S$747

About This Course

Data Visualisation provides a powerful way to communicate data-driven insights and discover patterns to detect anomalies. Through this unit, learners will develop competencies in connecting and transforming raw data into appropriate format for building interactive and effective visualisations to address business needs of stakeholders. Learners will also be competent in performing data exploratory analysis to discover patterns and trends using data visualisation.

What You'll Learn

At the end of the learning unit, learners will be able to:
> Apply data preprocessing techniques to reshape data into suitable data models in accordance with business requirements.
> Perform data exploratory analysis to identify underlying data patterns, trends and analytical insights using visualisation tools.
> Develop interactive and effective visualisations to address expectations of the stakeholders.

This course is part of SCTP Data Analytics with AI
(1) The list of topics covered in this course:
> Data Visualisation
> Data Preprocessing
> Data Exploratory Analysis

(2) Instructional Methods:
Instructor-led Classroom Learning

(3) Duration of Course:
16 hours

Entry Requirements

Applicants for the course should possess a diploma/degree from a local polytechnic/university or is a ITE graduate with minimum of 2 years working experience, preferably in a related field. Holders of other equivalent academic qualification from foreign institutions will be considered on a case-by-case basis.

Applicants who do not meet the entry requirements may be considered for admission to the course based on evidence of at least 5 years of relevant working experience or supporting evidence of competency readiness. Suitable applicants who are shortlisted may have to go through an interview and/or a proficiency test.

Course Details

Duration 16 hours
Language English
Training Commitment Full Time
Total Enrolled New course
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Note: To apply for this course, visit the SkillsFuture website or contact the training provider directly.

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