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Institute of Technical Education
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  2. Secondary school students
  3. Applied Learning Modules (ApLM@ITE)
  4. List of Applied Learning Modules (ApLM@ITE)
  5. Electronics & Info-Comm Technology
  6. Fun with Data Visualisation
Electronics & Info-Comm Technology

Fun with Data Visualisation

More information on the module on data visualisation.

Unlock the power of Data

In today's digital world, data is incredibly valuable, and skills in data analytics are in high demand. This module will teach you how to gather and manipulate data for analysis. You will learn how to turn raw data into meaningful insights, a skill that is crucial in many careers.

Create insightful Data Visualisations

You will use software tools to create a visualisation dashboard. This hands-on experience will help you present data in a clear and engaging way. With courses like Higher Nitec in Data Engineering, you can further develop your skills in this exciting field.

Learning outcomes

Master Data Connection and Extraction

By the end of this module, you will learn how to connect to data sources and extract valuable information. These skills are essential for gathering the data you need for analysis. Understanding this process is the first step in becoming a data expert.

Visualise and present data insights

You will create data visualisations that make complex information easy to understand. Learn to build dashboard presentations that reveal insights from data points. These abilities will help you turn raw data into powerful stories and make informed decisions.

Module outline

More information on the module outline

S/N

Module outline

1

Develop knowledge of digital marketing concepts and basics of data analytics

  • Explain digital marketing

  • Describe the benefits of digital marketing

  • Explain the types of digital marketing used to promote a product or service

  • Explain the process of data analytics

  • Explain the key benefits of data analytics

  • List the software tools commonly used to present data, trends and implications

2

Perform Data Preparation and Connection

  • Describe the key elements in data visualisation tool

  • Explain the various data transformation features

  • Outline the different types of data sources

3

Create Data Visualisations

  • Outline the process to create data visualisation

  • Describe the various features to perform data visualisation

  • Describe the key concept in creating various types of views

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