A Beginner's Guide to Data Visualisation

A Beginner’s Guide to Data Visualisation


Course Information

Start Date 17 Nov 2025, Mon
Start Date
End Date17 Nov 2025, Mon
Time9.00am to 5.00pm
Mode
FeeSGD 680.00 (excluding GST)
Contact Eunice | 6720 3333 | training.aventis@gmail.com
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  • Course Outline

Unlock the Power of Data Visualization

Data visualization is an indispensable tool across industries, helping organizations identify trends, areas for improvement, and insights that guide strategic decisions. It enables professionals to transform raw data into actionable insights, enhancing consumer understanding and business outcomes. As a key component of business intelligence, data visualization plays a critical role in communicating complex information effectively through compelling visuals.

Hands-On Training for Beginners

This beginner-focused course provides an in-depth introduction to the principles of data visualization and the analytics value chain. Through practical projects and interactive exercises, participants will learn how to design impactful visualizations and dashboards. Whether you're visualizing data for personal use or professional applications, this course equips you with the skills to create clear, meaningful, and aesthetically pleasing data presentations that support data-driven decision-making.

* Learners should have an internet-enabled laptop with Microsoft Excel version 2016 or later preinstalled and comfortable with performing multiple tasks on Excel when attending this course.

Earn A Professional Certificate in Data Analytics in 4 Days!

Aventis' Professional Certificate in Data Analytics series aims to provide beginners with a comprehensive understanding of the 4 pillars of data analytics: data management, data analysis, data visualisation, and data storytelling.

Complete these 4 courses and earn your Professional Certificate:

  1. A Beginners Guide to Data Management and Data Reporting
  2. Introduction to Data Analysis: Mining Data for Insights
  3. Introduction to Data Visualisation: Presenting Insights from Data
  4. Introduction to Data Storytelling: Presenting Narratives from Data

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