NICF – Data Visualisation (Blended Learning)

NICF -  Data Visualisation (Blended Learning) is a vendor-agnostic and software product, agnostic with learners gaining the knowledge, skills, and abilities in data visualisation in contrast to the other courses in the market than gaining knowledge, skills and abilities in a software vendor dependant product functions and features. 

NICF – Data Visualisation (Blended Learning)

Key Facts 

  • Course duration: 1 month (part-time), 2 days/week, 3 hours/day

  • Intake dates: Start in January, April, July, or October

  • Total training fee: S$1,950

This module helps students to join the dots between mathematics, programming, and business analysis. This module provides an introduction as well as hands-on experience in data visualization, visual analytics, and visual data storytelling. If learners have no prior knowledge or learners with basic math skills but want to apply them in data science or learners have good programming skills but lack math, this module bridges the gap between mathematics and programming. It introduces design principles for creating meaningful displays of quantitative and qualitative data to facilitate managerial decision-making in the field of business analytics. Students will know how to structure and streamline data analysis assignments; collect, prepare, and “wrangle” data, and highlight implications using visualizations and storytelling.

At the end of the course, learners will be able to:

1) Explain data visualization software and techniques

2) Appraise techniques for visualizing trends and patterns

3) Analyse data using storytelling methods

4) Evaluate data stories and creating frameworks

5) Explain filtering and outline techniques to organize data

Our target audience includes:

  • Mature Learner - who wishes to gain the Technical Skills and Competencies to seek a new job (Career Induction) or seek career-change (Skills Upgrade).
  • Entrepreneur Learner - who wishes to gain the Technical Skills and Competencies to seek a new job (Career Induction) or seek career change (Skills Upgrade) usually to for a start-up venture.

The assumed skills and knowledge for this course are as follows:

  • Aged between 21 years old and above;
  • Minimum at least Learners must have ONE GCE O Level;
  • Able to read, listen and speak English at a proficiency level equivalent to Employability Skills System (ESS) Literacy Level 6;
  • Able to count with a proficiency equivalent to Employability Skills System (ESS) Numeracy Level 6;
  • Have basic computer literacy Level 2.

Modules

Learners would be able to use new data visualisation tools and techniques and introduce new or emerging visualisation tools and techniques that are fit for purpose.

Learners would be able to use a range of methods to portray data patterns, trends, and correlations, and exercise judgment on the presentation of data to ensure that critical trends and findings are presented in an optimal way.

Learners would be able to understand dashboard development processes and techniques and develop dashboards and scorecards incorporating advanced visualization techniques and embedding analytics capabilities.

Learners would be able to use features of data displays and align interpretation and presentation of data analytics findings with subject matter experts.

Learners would be able to use strategic visualization and mapping techniques, review tables, graphs, and dynamic data displays, to ensure key questions from key stakeholders are addressed, and design features of data displays including navigation, layout, user interface, and user experience of interactive graphics.

Request More Information

Contact a programme advisor by calling
+65 6580 7700

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