
Transform messy data into clear, engaging visuals by tailoring visuals to your audience, choosing the right charts or tables (including Excel charts), and guiding attention through storytelling.
Know your audience to tailor data visuals and explanations. Define the presentation purpose first, then adapt detail and terminology to help them understand and decide.
Identify senior management focused on operational efficiency and technology investment, and demonstrate the software’s impact on processing times, error rates, and productivity with before and after graph to secure support.
Define a clear purpose for your presentation by drafting a concise elevator pitch, then align charts and slides to support that goal and deliver a takeaway the audience can recall.
Learn bar charts as versatile visuals for categorical data, when and how to use them, avoid complexity and misleading axes, with Excel walkthroughs to build clear presentations.
Explore line graphs to reveal trends over time in data, compare multiple data sets with overlaid lines, and use the slope to show speed and pattern in time series data.
Explore how scatter graphs reveal relationships between two variables, illustrate positive or negative correlations, and distinguish correlation from causation, with do's and don'ts.
Discover what to avoid in visualizations—angles, areas, and volumes—and why bar charts or tables communicate data more clearly than pie charts, 3D, or perspective distortions.
Use text for simple, punchy takeaways and tables to organize larger data; highlight key features with a color gradient heatmap instead of unnecessary charts.
Apply a two-step method to turn ugly Excel visuals into clear, story-driven charts. First remove distractions and use a horizontal chart with data labels; then highlight key insights with color.
Learn how to guide attention in visualizations by reducing intrinsic cognitive load through color, contrast, boxing, brackets, and size, with practical examples.
Transform your data into a focused bar chart by removing Excel distractions, using horizontal bars, inside-bar data labels, and color emphasis to tell a clear data-driven story for executives.
Bar chart walkthrough in Excel teaches creating a horizontal bar graph from raw data, ordering by popularity, adding data labels inside bars, and styling for presentation in PowerPoint.
Analyze the age distribution of new customers using a stacked bar chart by quarter, highlighting the growth of the 18–45 demographic with minimal colors and a clear summary.
Learn to create a stacked bar chart showing age groups by quarter, switch rows and columns, apply colors, data labels, and tell the growth story.
Learn to craft a compelling line graph that shows how budget cuts affected new customer growth, using color, labeling, annotations, and projections to persuade bosses to reinstate the budget.
Learn to design and annotate line graphs in Excel and PowerPoint, including customizing axes, labels, colors, and sequence of visuals to compare last year, this year's target, and current results.
Explore how to craft a clear scatter graph to reveal that Region C underperforms on reviews despite fast delivery, using quadrant analysis and color emphasis to tell a data-driven story.
Learn to build a three-series scatter graph, highlight region C, and add a quadrant analysis of average delivery time versus rating to reveal a subtle negative correlation.
Download data, practice creating a beautiful, clear presentation that guides your audience's attention, then share your work, explore others' presentations, and leave feedback.
Frame the data with context, build the middle using visualizations to reveal trends, and finish with actionable recommendations that link customer satisfaction to revenue.
Define a data-driven story structure with motivation, analysis, and recommendations, supported by visualizations and data methodology, to create cohesion in presentations.
Tailor your tone, body language, pacing, and emotion to the situation to turn data-driven insights into a confident, engaging narrative.
Too often, excellent data analysis gets lost when communicated with others. This course shows you how to communicate your analysis with clarity, class and impact.
Learn how to create beautiful visualisations that guide your audience's attention and tell a compelling data-driven story. Weave these into a narrative that takes your audience on a journey of understanding that culminates with them grasping the key messages you want them to take away from your presentation.
What's in the Course?
The course is structured in 4 parts - each an essential component of perfect data communication.
Understanding Your Audience. Knowing who you are presentating to dramatically affects how your present your findings and what to include. This sections shows you how to set scene in a way that ensures your presentation includes everything your audience needs and doesn't waste their time.
Choosing the Right Visualisation. Too often people select the wrong visualisation for the data they are sharing. This sections shows you the do's and don't's for the most common visualisations, and explores alternatives, such as text and tables.
Crafting the Perfect Visualisation. This sections introduces a two-step process for creating a stunning graphic. First, I show you how to strip a visualisation down to its bare essentials, so that it is clutter-free and sitraction-free. Next, I show you how to use colour, contrast, size and more to guide your audience's attention to the key message.
Telling a Data-Driven Story. Even the most compelling visualisations need to be embedded in a good narrative to capture your audience's attention and enthusiasm. Here, we explore ideas of narrative structure and presentation skills so that your analysis really speaks to your audience.
As well as video lessons, the course also has activities and assignments for you to put what you have learned into practice.
How Can This Course Help You?
The world of business and data is full of bad visualisations and communication. Stand out from the crowd by knowing how to present analysis properly.
Make data clear and impactful: Learn how to transform complex data into clear, visually engaging stories that captivate your audience.
Boost your professional skills: Develop data communication techniques that are highly valued across industries, from business and education to research and marketing.
Tell compelling stories with data: Master the art of weaving data and narrative together to influence decisions and convey key insights effectively.
Elevate your presentations: Design charts, graphs, and visuals that not only look professional but also drive your message home.
Enhance your Excel know-how: Gain hands-on experience creating and customizing impactful visualizations using standard Excel tools.
Communicate with confidence: Apply best practices to simplify your data visuals, highlight important points, and ensure your audience understands your message clearly.
A Little About Me...
I'm a data analyst, statistician and teacher based in London. I work with business professionals who use statistics and data analysis in their work, as well as teaching students learning Mathematics and Statistics. I've helped 10s of thousands of business professionals and students understand statistics, visualisations and data analysis. Here's what I offer:
Individual Support. As with all my courses, I answer all my students' questions myself, so if you ever have questions or comments, I'm here to help!
Highly Rated Intructor. I'm one of the highest rated instructors. Please do check out my reviews from this and other courses. My students value my personable approach, subject knowledge, friendly delivery and clarity.
Satisfaction Guarantee. If you're not completely satisfied with the course, you can get a full refund within 30 days of purchase.
Woody