Data Science: Visualization Training

Live Online & Classroom Enterprise Training

Learn basic data visualization principles and how to apply them using ggplot2.

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What is Data Science: Visualization Training about?

This course covers the basics of data visualisation and exploratory data analysis. We will use three motivating examples and ggplot2, a data visualisation package for the statistical programming language R. We will start with simple datasets and then graduate to case studies about world health, economics, and infectious disease trends in the United States.

We'll also examine how mistakes, biases, systematic errors, and other unexpected problems often lead to data that should be handled carefully. The fact that it can be difficult or impossible to notice a mistake within a dataset makes data visualisation particularly important.

The growing availability of informative datasets and software tools has increased reliance on data visualisations across many areas. Data visualisation provides a powerful way to communicate data-driven findings, motivate analyses, and detect flaws. This course will give you the skills to leverage data to reveal valuable insights and advance your career.

What are the objectives of Data Science: Visualization Training ?

Basic R syntax
Data visualisation principles
How to communicate data-driven findings
How to use ggplot2 to create custom plots
The weaknesses of several widely used plots and why you should avoid them

Who is Data Science: Visualization Training for?

Anyone who wants to learn about Data Science from absolute scratch.
Anyone who wants to create powerful data visualisations for analytics or data science
Anyone with an audience who values insightful information
Anyone looking to create impact data communications that will resonate with an audience
Anyone in business who wants to tell great stories with data

What are the prerequisites for Data Science: Visualization Training?

None

Available Training Modes

Live Online Training

8 Hours

Self-Paced Training

8 Hours

Course Outline Expand All

Expand All

Module 1: Introduction to Data Visualization and Distributions

Module 2: Introduction to ggplot2

Module 3: Summarizing with dplyr

Module 4: Gapminder

Module 5: Data Visualization Principles

Who is the instructor for this training?

The trainer for this Data Science: Visualization Training has extensive experience in this domain, including years of experience training & mentoring professionals.

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