Fundamentals of Data Visualization

Fundamentals of Data Visualization, available at $44.99, has an average rating of 4.75, with 30 lectures, based on 12 reviews, and has 292 subscribers.

You will learn about Fundamentals of Data Visualization Techniques in defining your narrative when visualizing data. Incorporate data visualizations and processes. How to make data visualizations relatable to an audience’s interests and needs. Understand the use of charts in data visualizations. Process involved in applying interactivity to data visualizations This course is ideal for individuals who are Anyone interested in data visualization or Data scientist It is particularly useful for Anyone interested in data visualization or Data scientist.

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Summary

Title: Fundamentals of Data Visualization

Price: $44.99

Average Rating: 4.75

Number of Lectures: 30

Number of Published Lectures: 30

Number of Curriculum Items: 30

Number of Published Curriculum Objects: 30

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

Fundamentals of Data Visualization
Techniques in defining your narrative when visualizing data.
Incorporate data visualizations and processes.
How to make data visualizations relatable to an audience’s interests and needs.
Understand the use of charts in data visualizations.
Process involved in applying interactivity to data visualizations

Who Should Attend

Anyone interested in data visualization
Data scientist

Target Audiences

Anyone interested in data visualization
Data scientist

Data visualization is the graphical representation of information and data. By using visual elements like charts, graphs, and maps, data visualization tools provide an accessible way to see and understand trends, outliers, and patterns in data.

In this course, you will learn the fundamentals of data visualization. You’ll learn how to understand your data and your audience, craft the story you need to tell, and determine the best visual model and details to use for that story.

We’ll start by building data visualizations and dashboards, considering your audiences to be as effective as possible. Then, you’ll move into drafting presentations using storytelling techniques, visualizations, and animations to provide data-driven recommendations.

In the world of Big Data, data visualization tools and technologies are essential to analyze massive amounts of information and make data-driven decisions.

Our eyes are drawn to colors and patterns. We can quickly identify red from blue, square from circle. Our culture is visual, including everything from art and advertisements to TV and movies. Data visualization is another form of visual art that grabs our interest and keeps our eyes on the message. When we see a chart, we quickly see trends and outliers. If we can see something, we internalize it quickly. It’s storytelling with a purpose. If you’ve ever stared at a massive spreadsheet of data and couldn’t see a trend, you know how much more effective a visualization can be.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Chapter 2: Understanding Data Visualization

Lecture 1: Knowledge content

Lecture 2: The audience

Lecture 3: What is data visualization

Lecture 4: What makes a good data visualization

Lecture 5: Visual perception

Lecture 6: Understanding your data

Chapter 3: Information Hierarchy

Lecture 1: Explanatory

Lecture 2: The Ws

Lecture 3: Explore your data: Visual exploration

Lecture 4: Indexes and ratios

Lecture 5: Convert data

Chapter 4: Analog & Storytelling

Lecture 1: Sketches and wireframes

Lecture 2: Defining your narrative

Lecture 3: Making everything relatable

Chapter 5: Visual Display

Lecture 1: Illustration and iconography

Lecture 2: Typography

Lecture 3: Position, size, color, contrast, and shape

Lecture 4: The importance of scale

Lecture 5: Legends and sources

Lecture 6: The right paradigm: Basic & Alternative charts

Lecture 7: Hierarchical data

Lecture 8: Maps

Lecture 9: Creativity and innovation

Lecture 10: Challenge

Lecture 11: Solution

Chapter 6: Interactivity

Lecture 1: Motion

Lecture 2: When to go interactive

Lecture 3: How to think interactively

Lecture 4: Finding the right technology

Instructors

Data Hawk
Data Science

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4 stars: 4 votes
5 stars: 8 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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