Advanced Data Storytelling
Data visualization course online or in person
Have you ever faced a dataset so complex, it left you puzzled on where to start your story? Do you find yourself confident with line and bar charts but adrift when it comes to navigating the complexities of heatmaps and treemaps?
Our "Advanced Data Storytelling" course was designed specifically for those who've already begun to transform their business visuals according to storytelling principles.
Learn to think outside the conventional boxplot, craft compelling scatterplots, and navigate through more sophisticated chart types with ease. Through engaging sessions and hands-on practice, you'll not only tackle the most frequent business cases with confidence but also change the way you present your data insights.
Join us for the Advanced Data Storytelling workshop and turn complexity into clarity, one story at a time.
Course Duration:
In just 2 hours, dive deep into the nuances of advanced data storytelling, transforming complex data into compelling narratives.
Who Should Attend:
This workshop is tailored for professionals who are already familiar with the fundamentals of data storytelling and are eager to tackle more complex business scenarios and explore less common visual types.
Prerequisites:
Participants should have a basic understanding of MS Excel, as the workshop includes practical exercises that utilize this tool.
Languages:
Dive into advanced data storytelling in either Czech or English – it's your choice.
Where & How:
Online: Join me on MS Teams or any platform you prefer for a convenient online session.
In-Person: If you're in Prague or anywhere in Czech republic or nearby in Slovakia, Poland, Hungary, Germany, or Austria, I'll come to you. And if you're further away, just let me know – I love to travel for training!
Advanced Data Storytelling Course Syllabus
1. Chart Versus Table
- When does a chart surpass a table in conveying information, and is it always the case?
Dive into the debate with a business example and the classic Anscombe's quartet, exploring the effectiveness of visual representation over tabular data.
TIME SERIES DATA
2. Line and Column Chart
- Are line and column charts interchangeable in presenting time series data?
Understand the nuances and appropriate contexts for using line versus column charts to represent time series data accurately.
3. The Zero Baseline Principle
- Are there exceptions to maintaining a zero baseline in charts?
Explore the importance of the zero baseline rule and its impact on data interpretation, including when deviations may be appropriate.
4. Secondary Axis: A Double-Edged Sword
- To use or not to use a secondary axis in your charts?
Weigh the pros and cons of using secondary axes in visualizations and learn best practices to avoid misleading your audience.
5. Unwinding the Spaghetti Chart
- How can we simplify complex time series data presented in spaghetti charts?
Discover strategies to declutter and effectively communicate insights from dense, overlapping data lines.
CATEGORICAL DATA
6. Perceptual Ranking According to Cleveland and McGill
- What visual forms do our brains best perceive and rank?
Learn about Cleveland and McGill's research on perceptual ranking and its implications for selecting chart types.
7. Pie, Bar, Donut or Treemap
- How to decide between comparison and composition visualizations?
Master the art of selecting the most effective chart type for displaying categorical data, whether comparing items or showing composition.
8. Comparing proportions
- Which chart best compares proportions in your data?
Compare the effectiveness of clustered column charts, pie charts, stacked column and area charts and bullet graphs for proportion comparisons.
9. Strategic Color Use in Categorical Data Visualization
- How to use color to categorize versus highlight data?
Learn the principles of color application for categorization and emphasis, enhancing the clarity and impact of your visuals.
10. Segmentation with Scatterplots
- How can scatterplots reveal segments in your data?
Leverage scatterplots for powerful customer or portfolio segmentation.
11. Understanding Distribution
- How do we visualize data distribution effectively?
Explore the strengths of histograms, box plots, and jitter plots in showcasing data distribution and variability.
12. Evaluations with Radar Charts
- When is a radar chart your best choice for evaluation?
Assess the application and limitations of radar charts in representing multivariate data.
GEOSPATIAL DATA
13. To Map or Not to Map: That Is the Question
- When does your data storytelling benefit from a geospatial representation?
Discuss the decision-making process for using maps in data visualization and the impact on audience understanding.
14. Color Coding in Maps: Monochromatic vs. Polychromatic
- How do color schemes affect the readability and interpretation of maps?
Delve into the use of color in geospatial data visualization, comparing the effects of monochromatic and polychromatic schemes.
15. Correlation through Scatterplots
- How can scatterplots enhance our understanding of correlations?
Explore the use of scatterplots in revealing correlations within geospatial data, with a nod to John Snow's cholera map.
HIERARCHICAL DATA
17. Navigating the Buyer’s Journey: Funnel Chart and Alternatives
- What visualization tools best track the buyer's journey through your data?
Evaluate the funnel chart and explore superior options for depicting stages in the buyer’s journey.
18. Contribution Analysis: The Waterfall Chart’s Pitfalls
- What are the limitations of waterfall charts in showing contribution analysis?
Critique the waterfall chart and discuss what can we do with it.
PRACTICE
- How to harness your advanced data storytelling skills in real-world scenarios?
Engage in two hands-on practice cases using Excel, applying advanced visualization techniques and storytelling principles to solidify your learning.
