Fundamentals of Data Visualization

Getting Started With Data Visualization

What you'll 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

Requirements
Basic statistics and data analysis skills

Description
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.
Who this course is for:Anyone interested in data visualizationData scientist

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