Description

Data visualization is all about describing complicated data in simple ways. It uses familiar things like bar charts to tell a story hidden in the data. But the best data visualizations are far more than just eye-catching charts.

This online data visualization course will teach you how to identify all the factors that go into a successful visualization: thinking like your audience, finding the right chart for your data, and uncovering what the data really says. Along the way, you’ll learn all about the most common chart types. You’ll also learn the basics of R, one of the most in-demand programming languages.

Don’t worry if you’re an absolute beginner to data visualization, statistics, or programming. This course explains everything step by step, including the four most common data stories (distribution, composition, change over time, and relationships between data). We’ll show you how to recognize each story by the pattern in the data. We’ll even give you some questions to ask for each story so you can get the true meaning.

We’ll use the R programming package ggplot2 to build eight common charts: a bar chart, a histogram, a pie chart, a stacked bar chart, a line chart, a scatter chart, and a mosaic chart. We’ll discuss the differences between these charts and help you decide which chart is the most effective for each dataset. Even if you plan on using a WYSIWYG program to develop your charts, you can use this information to perfect your data visualization skills.

You’ll also get dozens of tips on improving your charts. These tips are divided into four categories: achieving chart accuracy, designing your chart, highlighting the story you want to tell, and describing your chart.

Data visualization is one of today’s hottest tech skills, but you don’t have to be a programmer or data engineer to learn it. Our interactive online course will guide you to success. Try it for free!

Requirements

  • A web browser

Objectives

  • Understand basic chart types and how they are constructed
  • Learn the steps of the data visualization process
  • Create appealing, accurate, and understandable charts
  • Discover the “tricks of the trade” that result in meaningful data visualizations

Who Should Take This Course?

  • Students taking classes in data analysis
  • Data and business analysts
  • Data scientists
  • Anyone who needs to present data to a group or who needs to publish a data presentation
  • Anyone who wants to create meaningful and convincing charts
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    Reg. price
    $224

    Basic Data Analytics

    Includes 8 courses Data Visualization 101, Tidyverse, Introduction to R, SQL Basics, Statistics 101, SQL Practice Set, Introduction to Python for Data Science, SQL JOINs

    Bundle price $99

    Table of contents

    Progress: 0% completed 0 of 166 exercises done

    1. Introduction

    Get to know data visualization process and the basics of R

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    2. Bar Chart

    Learn how to visualize distribution of categorical data

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    3. Histogram

    Learn how to visualize distribution of numerical data

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    4. Pie Chart

    Learn how to visualize part of a whole

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    5. Stacked Bar Chart

    Learn one more way to visualize part of a whole

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    6. Bar Chart for Change Over Time

    Learn how to use bar chart to visualize change over time.

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    7. Line Chart

    Learn how to use line chart to visualize change over time.

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    8. Scatterplot

    Learn how to visualize relationship between numerical data

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    9. Mosaic plot

    Learn how to visualize relationship between categorical data

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