data-visualize
Advanced Data Visualization
Discover how to visualize time, proportions, relationships, and spatial patterns with the right tools and design.
- Practice in 3 Hands-On Labs — nothing to install
- 12 Interactive Lessons and 47 topics mapped to the official exam objectives
Expert Self-paced · 1 year access 4.7/5 (25 Reviews)
3 Hands-On LiveLabs
Practice real IT tasks in guided environments.
- Real environments
- Auto-graded
- No installation
12Interactive Lessons
47Topics
3LiveLab
4Videos
01 / Skills you'll get
What you will be able to do
In a world flooded with dashboards, charts, and spreadsheets, the ability to tell clear, impactful stories with data has never been more critical.
In this Advanced Data Visualization course, take a deep dive into techniques such as dual-axis charts for revealing hidden correlations, multi-chart dashboards for holistic views, and complex network graphs to map out your intricate relationships.
You’ll explore how to choose the right tools and techniques for every story. So your audience can see what matters most, avoid misinterpretation, and engage meaningfully with your work.
- Geospatial Mapping: Master the creation of choropleth maps, heatmaps & not destiny maps to visualize your geographical distributions & patterns.
- Statistical Visualization: Explore advanced statistical plots, including scatter plot matrices, box-and-whisker plots, and violin plots, to understand data distribution and relationships.
- Data Presentation: Create compelling executive dashboards that distill complex information into clear, & concise insights.
- Data Storytelling: Craft compelling visual narratives that highlight trends, patterns, and key insights.
- Data Cleaning and Preparation: Scrap, format, and prepare data to design & implement actionable business reports.
Course Highlights
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12 Structured Lessons Comprehensive coverage of core course objectives
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3 Hands-On LiveLabs Interactive guided scenarios with instant evaluation
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1 Year Full Access Self-paced learning accessible anytime on all devices
02 / Lessons & labs
See exactly what you will learn and practice
Lessons
12 Interactive Lessons · 47 topics01 Getting Started +
02 Telling Stories with Data 6 topics +
- 1.0 Competency One and Objectives
- Video: The Art of Data Visualization
- More Than Numbers
- What to Look For
- Design
- Wrapping Up
03 Handling Data 4 topics · 3 LiveLab +
- 2.0 Competency Two and Objectives
- Gather Data
- Formatting Data
- Wrapping Up
3 LiveLab in this lesson — see the labs panel →
04 Choosing Tools to Visualize Data 6 topics +
- Out-of-the-Box Visualization
- Programming
- Illustration
- Mapping
- Survey Your Options
- Wrapping Up
05 Visualizing Patterns over Time 5 topics +
- 4.0 Competency Three and Objectives
- What to Look for over Time
- Discrete Points in Time
- Continuous Data
- Wrapping Up
06 Visualizing Proportions 4 topics +
- What to Look for in Proportions
- Parts of a Whole
- Proportions over Time
- Wrapping Up
07 Visualizing Relationships 6 topics +
- 6.0 Competency Four and Objectives
- What Relationships to Look For
- Correlation
- Distribution
- Comparison
- Wrapping Up
08 Spotting Differences 5 topics +
- What to Look For
- Comparing across Multiple Variables
- Reducing Dimensions
- Searching for Outliers
- Wrapping Up
09 Visualizing Spatial Relationships 5 topics +
- What to Look For
- Specific Locations
- Regions
- Over Space and Time
- Wrapping Up
10 Designing with a Purpose 6 topics +
- 9.0 Competency Five and Objectives
- Prepare Yourself
- Prepare Your Readers
- Visual Cues
- Good Visualization
- Wrapping Up
11 Appendix +
12 Tutorials +
Hands-On Labs Our edge
3 LiveLabs- Scrape, format and present your data
- Clean and Format Data using Excel
- Changing Formats using Python
Labs run in your browser — nothing to install.
03 / FAQs
Questions before you start
Who should take this course?+
An advanced data visualization course is suitable for analysts, researchers, educators, data professionals, and anyone who wants to communicate data clearly and effectively.
What is Advanced Data Visualization?+
Advanced data visualization refers to the use of sophisticated techniques and tools to simply represent complex data in an easy-to-understand visual format. It goes beyond the basic charts and graphs by helping users quickly grasp trends, patterns, and relationships within data. Ultimately, it leads to better decision-making.
What are the career benefits of this advanced data visualization course?+
The data advanced visualization online course can offer multiple career benefits, including career advancements, increased earning potential & new job opportunities.
Is R or Python better for visualization?+
Both are powerful:
- R excels in statistical plots and quick visualizations with libraries like ggplot2.
- Python offers greater flexibility and integration with tools like Matplotlib, Seaborn, and Plotly.
Which visualization tool is in demand? +
Tableau remains one of the most in-demand tools in the industry, followed closely by Power BI for business analytics and Python libraries like Plotly and Seaborn in data science roles.
Which AI is best for data visualization? +
AI platforms like ChatGPT with code interpreters, Tableau GPT, and Power BI’s Copilot are leading the way, offering smart suggestions, auto-generated visuals, and natural language data queries to enhance visualization and insight discovery.
Keep going
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Master Advanced Data Visualization
Get real-world experience and insights to accelerate your journey to become a data visualization master.
- 1 year of full access
- 3 LiveLab included
- Certificate of completion