Course Info

Length:

5 Days

Type:

Online

Available Dates

2025-04-28

£ 1780

2025-05-26

£ 1780

2025-06-30

£ 1780

2025-07-28

£ 1780

2025-08-25

£ 1780

2025-09-22

£ 1780

2025-10-27

£ 1780

2025-11-24

£ 1780

2025-12-22

£ 1780

Course Details

  • Introduction
  • Objective
  • Who should attend

Data is an essential part of decision-making in today's business world. However, the sheer amount of data available can be overwhelming, making it difficult to extract meaningful insights. Data visualization is a powerful tool that allows us to communicate complex information in a more accessible way. It enables us to tell compelling stories with data, make better decisions, and drive business outcomes.

 

This 5-day course is designed to help UK professionals enhance their data visualization skills, whether they are analysts, data scientists, business intelligence professionals, marketers, or anyone who works with data. Through interactive lectures, hands-on practice sessions, and group projects, participants will learn the principles of effective data visualization and how to apply them to their work.

 

This course covers the basics of data visualization, including data collection and preparation, choosing the right type of chart or graph, and designing effective visualizations. It also covers advanced techniques such as creating interactive visualizations, incorporating geospatial data and statistical analysis, and best practices for data-driven decision-making.

 

By the end of this course, participants will be able to create compelling data visualizations that communicate insights effectively to a non-technical audience. They will also gain practical skills that they can apply to their work immediately, leading to better decision-making and business outcomes.

Course Outline

5 days course
  • Day 1
  • Day 2
  • Day 3
  • Day 4
  • Day 5

Introduction to Data Visualization

  • Overview of data visualization and its importance
  • Principles of effective data visualization
  • Common types of charts and graphs
  • Understanding data types and variables

 

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