A Beginner’s Guide to Data Visualization Design
A Beginner’s Guide to Data Visualization Design, available at $19.99, has an average rating of 3.35, with 36 lectures, based on 32 reviews, and has 1135 subscribers.
You will learn about Plan what results to include when presenting data to an audience. Craft a compelling story with said data. Identify which types of visualizations are best for different kinds of data. Determine which software or platform to use to create visualizations. Successfully create simple and clean visualizations using any software or language. Wow your coworkers with beautiful visualizations like social networks, heat maps and take your bar charts to the next level. Know the inside scoop on various visualization tools like D3, Tableau and R. This course is ideal for individuals who are Anyone who works with data and needs to tell stories with their data (or someone who wants to do this) It is particularly useful for Anyone who works with data and needs to tell stories with their data (or someone who wants to do this).
Enroll now: A Beginner’s Guide to Data Visualization Design
Summary
Title: A Beginner’s Guide to Data Visualization Design
Price: $19.99
Average Rating: 3.35
Number of Lectures: 36
Number of Published Lectures: 36
Number of Curriculum Items: 43
Number of Published Curriculum Objects: 43
Original Price: $54.99
Quality Status: approved
Status: Live
What You Will Learn
- Plan what results to include when presenting data to an audience.
- Craft a compelling story with said data.
- Identify which types of visualizations are best for different kinds of data.
- Determine which software or platform to use to create visualizations.
- Successfully create simple and clean visualizations using any software or language.
- Wow your coworkers with beautiful visualizations like social networks, heat maps and take your bar charts to the next level.
- Know the inside scoop on various visualization tools like D3, Tableau and R.
Who Should Attend
- Anyone who works with data and needs to tell stories with their data (or someone who wants to do this)
Target Audiences
- Anyone who works with data and needs to tell stories with their data (or someone who wants to do this)
In this course we will walk through how to develop a story with your visualizations, how to identify the right visualization for your needs and we’ll introduce some of the most current visualization software and programming languages. By the end of this course you’ll be able to:
-
Plan what results to include when presenting data to an audience
-
Craft a compelling story with said data
-
Identify which types of visualizations are best for different kinds of data
-
Determine which software or platform to use to create visualizations
-
Successfully create simple and clean visualizations using any software or language
You’ll also be able to:
-
Wow your coworkers with beautiful visualizations like social networks, heat maps and take your bar charts to the next level
-
Know the inside scoop on various visualization tools like D3.js, Tableau and R
To help solidify what you learn they’ll be various course activities for you to practice the concepts covered ranging from making sure your data is ready to be visualized to deconstructing a graph and removing unnecessary information. At the end of the course there will be an assignment where you will create from scratch a self-contained visualization of your choosing. Oh and don’t forget that the visualization will need to be engaging and understandable. But don’t worry, we’ll walk through every step together so that by the end of the course you’ll be able to wow your managers and colleagues with the most current visualization techniques. Sound fun? Then let’s get started!!
Course Curriculum
Chapter 1: Introduction
Lecture 1: Welcome
Lecture 2: What Can You Do With Data Visualization?
Lecture 3: So What Is Data Visualization?
Lecture 4: Additional Resources
Chapter 2: The Big Picture
Lecture 1: Introduction
Lecture 2: Data Fluency Framework
Lecture 3: Know Your Audience
Lecture 4: Additional Resources
Chapter 3: But First, Data
Lecture 1: Introduction
Lecture 2: Where To Get Data
Lecture 3: Not All Data Is Created Equal
Lecture 4: What Kind Of Data Do I Have?
Lecture 5: Data Relationships
Lecture 6: Additional Resources
Chapter 4: Types of Visualizations
Lecture 1: Introduction
Lecture 2: To Figure or Not Figure
Lecture 3: Tables
Lecture 4: 2D Charts
Lecture 5: Maps
Lecture 6: Pie Charts
Lecture 7: Infographics
Lecture 8: Above And Beyond The Basics
Lecture 9: Additional Resources
Chapter 5: Details Make the Difference
Lecture 1: Introduction
Lecture 2: The Science Behind The Visualization
Lecture 3: Color, Contrast And Texture
Lecture 4: Position, Size And Orientation
Lecture 5: Fonts, Labels And Legends
Lecture 6: Interactivity
Lecture 7: Additional Resources
Chapter 6: Programs And Tools To Visualize
Lecture 1: Introduction
Lecture 2: Graphical User Interfaces
Lecture 3: Programming Languages
Lecture 4: Additional Resources
Chapter 7: Where To Go From Here
Lecture 1: Farewell Message
Lecture 2: Additional Resources
Instructors
-
Alexandra Plassaras
Data Scientist
Rating Distribution
- 1 stars: 1 votes
- 2 stars: 2 votes
- 3 stars: 8 votes
- 4 stars: 13 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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