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Data Presentation & Visualization Course

Improve data clarity and guide decision-making

3h 45min | 27 lessons | 7 downloadable resources

In this course, you will learn how to:

  • Turn complex data into easy-to-understand visuals that drive action.
  • Design charts, dashboards, and reports that communicate insights effectively.
  • Use data storytelling techniques to make a bigger impact in presentations.
  • Avoid common visualization mistakes that confuse rather than clarify.
  • Present data in a way that influences decisions and gets stakeholder buy-in.

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English subtitles Certificate included
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Most data gets ignored because it’s presented poorly

Even the best data and findings are useless if no one understands them. Data overload, cluttered charts, and confusing reports kill decision-making. This course teaches you how to simplify, structure, and visualize data so it’s not just seen, it’s acted on.

Master data presentation and visualization to deliver clear, actionable insights to stakeholders

Course Length:
3h 45min. 27 lessons.

This isn’t just about making charts look pretty. You’ll learn how to create unique visuals that highlight the right data points, tell effective stories, and support better decision-making effortlessly for your audience. Walk away with the skills to turn any dataset into a persuasive, high-impact presentation.

After completing this online course on data presentation and visualization, you will be able to assist your team and company with:

  • Designing clear, impactful visualizations that simplify complex data.
  • Building dashboards that surface key insights at a glance.
  • Structuring reports that highlight what matters and remove distractions.
  • Using data storytelling to engage and persuade decision-makers.
  • Presenting insights in a way that drives action, not confusion.

This course is for you if you are responsible for:

  • Presenting data to stakeholders, clients, or leadership.
  • Turning raw numbers into meaningful, actionable insights.
  • Improving how your reports, charts, and dashboards communicate information.
  • Ensuring data-driven decisions are based on clarity, not clutter.
  • Making analytics more accessible and useful for your team.

Look no further than CXL, this is the best and most recommended course you will find on Data Presentation and Visualization.

Subscribe now and get access

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Course Curriculum

Data presentation and visualization

Communication overview

In this lesson, you will learn why data visualization, data storytelling, and effective communication are critical when it comes to effectively delivering analytics information, as well as some of the basics of how the brain works and why that matters.

Overview: The brain science of communication

Three types of memory, Gestalt psychology, and examples of reducing cognitive load. Topics covered: There are three types of memory: iconic, short-term, and long-term.The limitations of short-term memory as illustrated by Miller’s Law, and why it is cr

Overview: The Cognitive Load of Pie Charts

Among data visualization researchers and experts, pie (and doughnut) charts are universally reviled. In this lesson, we will explore why that is as an introduction to many of the concepts and ideas that are covered throughout the rest of this course. T

Data Visualization: Maximizing the Data-Pixel Ratio

Maximizing the data-pixel ratio sounds like an entirely esoteric and theoretical concept, but it is arguably the single data visualization technique that, once practiced and mastered, will have the greatest impact on improving the effectiveness of your

Data Visualization: Using Color Sparingly

As computer monitor technology has progressed, we are now at the point where most monitors can display 16.7 million different colors. But, just because you have an effectively infinite variety of colors available to use, doesn’t mean that you should! I

Data Visualization: The Importance of the Axes

Axes may seem obvious and mundane, and most data visualization platforms automatically generate them. But, they can be generated poorly, and they can undermine the impact of a data visualization if they are not implemented effectively. Topics covered:

Data Visualization: Horizontal Bar Charts for Comparing Categories

When it comes to visualizing categorical data, the horizontal bar chart is often the best choice. In this lesson, we will explore why that is, as well as how multiple horizontal bar charts can be used to provide a clear comparison of multiple metrics a

Data Visualization: Line Charts for Visualizing Time-Series

Line charts are one of the most common types of chart, and they are especially good at showing how a metric has changed over time. In this lesson, we will explore the key considerations when it comes to developing a line chart. Topics covered: When lin

Data Visualization: Sparklines and Small Multiples

While the default approach for data visualization is “a chart,” sometimes, using multiple charts together is a more effective way to convey information. That’s where sparklines and small multiples come in, which are the topic for this lesson. Topics co

Data Visualization: Text as a visualization

Approach metrics written as text as visualizations in and of themselves. Topics covered: How standalone text can be a powerful visualization, and what goes in to ensuring that is the caseUsing text as the primary element in a data visualization in conc

Data Visualization: Heatmaps

Heatmaps done well can be an incredibly effective way to represent a single metric across multiple dimensions in a way that enables the audience to quickly see which combinations of dimensions stand out. In this lesson, we will explore when heatmaps ar

Data Visualization: Scatterplots

Correlation is not causation, but correlation—the positive, negative, or lack of a relationship between two metrics—can be key to making a specific point. In this lesson, we will explore how to use scatterplots to visualize the relationship between a p

Data Visualization: Specialty Charts and Chart Elements

Waterfall charts, boxplots, error bars and more: when adding cognitive load is warranted. Topics covered: How non-standard chart types increase the cognitive load for the audience for the data visualizationWhy increasing the cognitive load can be okay,

Data Visualization: Cautionary Charts and Bad Practices

Why 3D charts, stacked charts, bubble charts, and others are generally ill-advised Topics covered: How to assess a visualization to identify where it may be adding unnecessary cognitive load.How to experiment with alternate visualizations and assess th

Data Visualization: Dashboard Considerations

There are two types of dashboards. Data visualization conceptscan be applied differently depending on the type. Topics covered: The difference between performance measurement dashboards and analytical interface dashboards.Key considerations when develo

Data Visualization: Data Visualization Resources

A review of the key themes throughout these lessons, and resources for learning more Topics covered: A review of the main concepts and considerations for data visualization.Suggested resources for learning more.What we haven’t yet covered: data storyte

Data Storytelling: The Power of Narrative

“Storytelling” is not a buzzword: information presented as narrative is more easily understood and more likely to be retained. Topics covered: What data storytelling is, and how “narrative” is at its core.The increase in engagement, retention, and reca

Data Storytelling: Know Your Audience, Know Your Goal.

Who are you ultimately targeting, how will you reach them, and what do you expect them to do with the information you present? Topics covered: Key considerations once you identify your core audience.The importance of starting with a desired action.An u

Data Storytelling: Establishing a Narrative (and a Flow)

Discovering the narrative before building out the content saves time and increases the ultimate impact. Topics covered: Why the way slide decks typically get produced lead to a meandering and ineffective finished product.How to develop the narrative fo

Data Storytelling: McKinsey Titles and Reinforcing Content

The title of the slide is the most dominant position. Use it to maximum effect and then complement it with the content. Topics covered: What a McKinsey Title is and why it is more effective than a typical slide title.Why each slide in a presentation sh

Data Storytelling: Data Visualization Tips Apply!

Decluttered slides and brain-friendly data visualizations make for high impact presentations. Topics covered: How maximizing the data-pixel ratio can be applied to slides.How the selective use of color can be used to maximum effect.The importance of in

Data Storytelling: Kill the Bullets and Limit the Text

Bullets are bad, despite their proliferation in presentations. And they are unnecessary. Topics covered: Why bullets detract from the effectiveness of slides in a presentationHow to keep text to a minimum, while also selectively using color within text

Data Storytelling: Presentations vs. Documents

Live presentations vs. the “leave-behind” version of the presentation vs. presentations never delivered live at all! Topics covered: What Slidedocs are (and how they differ from presentations). How to separate the “leave behind” from the “presented liv

Data Storytelling: Compelling Imagery

A picture is worth at least 100 words, if not 1,000. Images are an easy and impactful way to support a data story. Topics covered: Why imagery is so effective when it comes to increasing engagement, comprehension, and retention.Tips for quickly finding

Data Storytelling: Editing and Rehearsal

Thinking about what you will say for each slide is not rehearsal. Rehearsal is rehearsal, and it is a worthwhile investment of time. Topics covered: The importance of rehearsing a data story before delivering it.How rehearsal of a presentation is part

Data Storytelling: Review and Resources for Learning More

A review of the key themes throughout these lessons, and resources for learning more. Topics covered: No data story is perfect. Don’t make that the goal.Every presentation of analysis is an opportunity to learn and improve.Resources for learning more.

Tim Wilson

Senior Director of Analytics @ Search Discovery

Tim has been working with digital data full-time since 2001 in a variety of roles: from managing a web analytics platform migration and developing analytics processes as the head of the business intelligence department at a $500 million high tech B2B company; to creating and growing the analytics practices at multiple agencies that worked with a range of large consumer brands; to his current role consulting with the digital analytics teams at Fortune 500 companies on their strategies, processes, and tactics for effectively putting their sales, marketing, customer, and digital data to actionable use.

This online course
comes with a
Certificate

Completing this course earns you an official CXL Data Presentation and Visualization Course Certificate to prove your achievement. CXL is recognized as an industry-leading qualification by employers worldwide, and it is an official qualification on Linkedin that can be added to your profile.

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What is the difference between the monthly, quarterly and annual plans?

We offer three types of billing lengths to choose from: Monthly, Quarterly, or Annual. The longer the billing length, the cheaper the monthly cost becomes.

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A team account has a few extras:
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You’ll get:
– Access to 90+ online courses.
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– Premium Support

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One of CXL’s company policies is that we don’t discount. Our focus is on the product – providing the best, highest quality content with our courses.

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