A Beginner's Guide to Data Visualisation

Introduction to Data Visualisation: Presenting Insights From Data (Virtual)


Course Information

No schedule.
  • Overview

  • Learning Outcomes

  • Who Should Attend

  • Testimonials

  • Trainer's Profile

  • Course Outline

Data visualisation may be used to your data regardless of industry or sector, as it can assist in recognising which areas need to be improved, which aspects impact consumer satisfaction and dissatisfaction, and what to do with certain products. Data visualisation, as a key phase in the business intelligence process, takes raw data, models it, and distributes it so that conclusions may be drawn.

This hands-on and practical data visualisation online course aims to provide you a comprehensive yet practical understanding of the complete analytics value chain, with a particular emphasis on displaying data to convey the correct message to an audience. Throughout the course, students will work on a series of projects designed to help them practice and apply the concepts they have learned. By the end of the course, students will have developed a strong foundation in data visualization that they can use to present insights and tell compelling stories with data, whether for professional or personal purposes.

* 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

Share this Course