DVBI: DATA VISUALISATION FOR BUSINESS INTELLIGENCE
DATA VISUALISATION FOR BUSINESS INTELLIGENCE
Course Duration
Mode of Assessment
Written Assessment, Practical Performance
Who Should Attend
- Individuals holding supervisory or management roles in their organisation and are leading a team or a department or division.
- Job Roles from the Retail trade and other sectors who has the responsibility to support in performing data analysis and visualisations techniques to generate the right insights for the business goals and outcomes.
- Office Associate/ Assistant
- Business Managers
- Technical Supervisors
Course Overview
The Data Visualization for Business Intelligence course is a comprehensive program designed to equip you with the fundamental skills necessary to work with data effectively. From understanding various data tools to crafting compelling narratives through visualization, this course covers essential concepts and practical applications.
Course Schedule
Next available schedule
Course Objectives
Upon completing this course, participants will be able to:
- Data Proficiency: Gain proficiency in using a variety of data tools, including Excel pivots and filters, to efficiently process and manipulate data for visualization and presentation.
- Data Quality Enhancement: Learn methods to enhance data quality by identifying and eliminating inconsistencies and duplicates, ensuring cleaner and more reliable datasets.
- Data Visualization Mastery: Acquire the skills to create aesthetically sound visualizations and infographics using tools such as maps, graphs, and interactive charts. Adhere to best practices and standards for effective communication of data insights.
- Data Analysis Techniques: Develop the ability to perform statistical and graphical analysis using data chart tools, enabling you to draw meaningful insights from diverse datasets.
- Effective Data Storytelling: Master the art of storytelling with data by understanding guidelines for drafting cohesive narratives. Learn to communicate complex analysis results to both technical and non-technical audiences through compelling visualizations and writings.
Pre-requisites
The admission requirements are:
- Read, write, and speak English at WPL Level 4
- Manipulate numbers at WPN Level 4
Course Outline
Learning Unit 1. Data Tools: Understand the types of tools available for designing and producing visualizations, infographics, and reports, Identify and use data tools such as Excel pivots and filters to process data for visualization and presentation.
Learning Unit 2. Data Cleaning: Comprehend various methods to clean and organize data effectively, apply techniques to clean data by eliminating inconsistencies and duplicates.
Learning Unit 3. Data Chart Tools: Develop the ability to run statistical and graphical analysis on data to draw meaningful insights, Recognize the types of charts suited for different data types.
Learning Unit 4. Data Visualization and Infographics: Apply best practices and standards in using data visualization tools like maps, graphs, and interactive charts. Utilize appropriate software for data visualization and infographics to convey technical information to non-technical audiences effectively. Adhere to best practices and standards required in data visualization and infographics presentation.
Learning Unit 5. Data Storytelling: Understand the guidelines for drafting narratives for visual data storytelling. Execute cohesive narratives for visual data storytelling.
Certificate Obtained and Conferred by
- Statement of Attainment (SOA) from SkillsFuture Singapore
After passing the assessment(s), participants will receive a SOA from SkillsFuture Singapore, certifying that they have achieved the following Competency Standard(s):- RET-RAN-2004-1.1 Infographics and Data Visualisation
Additional Details
Medium of Instruction: English
Trainer to trainee ratio: 1:20
Mode of Delivery: Physical class
Price
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Course Fee and Government Subsidies |
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Individual Sponsored |
Company Sponsored |
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Non-SME |
SME |
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Before GST |
After GST |
Before GST |
After GST |
Before GST |
After GST |
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Full Course Fee |
$900.00 |
$981.00 |
$900.00 |
$981.00 |
$900.00 |
$981.00 |
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For Singapore Citizens aged 39 and below |
$450.00 |
$531.00 |
$450.00 |
$531.00 |
$270.00 |
$351.00 |
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For Singapore Citizens aged 40 years and above |
$270.00 |
$351.00 |
$270.00 |
$351.00 |
$270.00 |
$351.00 |
Funding Eligibility Criteria
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Individual Sponsored Trainee |
Company Sponsored Trainee |
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Remarks
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Company Sponsored Trainee |
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SkillsFuture Credit:
UTAP:
PSEA:
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Absentee Payroll (AP) Funding:
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PSEA SkillsFuture eligibility & TGS-code Options
To check for Post-Secondary Education Account (PSEA) eligibility for this course, visit:
SkillsFuture (TGS-2023021737) for Face-to-Face class
Terms & Conditions apply. NTUC LearningHub reserves the right to make changes or improvements to any of the products described in this document without prior notice.
Prices are subject to other LHUB miscellaneous fees.
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