Applied Data Visualization
Transform data into powerful visuals that reveal and share insights.
Self-paced course with live Instructor support (a real person to talk to!)
Additional information
| Time | Duration 19-28 hrs |
|---|---|
| Delivery | On Demand |
$999.00
+Taxes
As low as $83.25/month with 
.
Learn more
As the business world becomes more data-driven, the ability to turn data into clear visualizations is critical for both exploring what is in a dataset and communicating your findings to others.
The Data Visualization course is designed to give you an understanding of how to create effective, appropriate plots and the practical skills you’ll need to extract insights from data and convey them convincingly to a variety of audiences. Through hands-on exercises and real-world case studies, you’ll learn how to design and create plots that turn data into compelling visuals that can be quickly and easily understood.
By the end of this course, you will understand what makes a plot effective in telling your data’s story. You will also learn how to avoid creating visuals that are confusing, misleading, or overwhelming-for both your audience and yourself- and how to create clear, impactful plots with confidence.
If you’re ready to go beyond the basic plots of spreadsheet programs and create impressive, informative visualizations for any situation, this course is for you.
Prerequisite: Data Wrangling with Python course, or strong Python and data coding skills:
- Basic Python syntax
- Flow control structures (loops and conditionals)
- Function definition and calling
- Basic Python data structures (lists and dictionaries)
- NumPy arrays
- Pandas DataFrames
What you’ll learn from the Applied Data Visualization Course
Exploring data with visualizations
- Learn how predictive models are transformed into generative models
- Tune the output of LLMs by adjusting their temperature
- Understand the fundamental ideas behind the transformer architecture
Communicating data insights to an audience
- Design a plot to clearly and quickly convey an insight
- Consider the best way to approach a particular audience
- Emphasize your message by adding and adjusting plot elements
- Streamline a plot to remove distractions and increase impact
- Adjust plots for different applications, such as a presentation or a report
Going beyond basic plots
- Add interactivity to engage users
- Balance richer experience against increased complexity for users
- Understand dashboard design principles
- Combine several plots into an effective dashboard
Using Plotly to visualize data
- Quickly create plots from data with Plotly express · Alter and add plot elements using the update tools
- Control the fine details of a plot with graph objects
- Combine the Plotly tools to make a plot for nearly any situation
Visualization theory
- Explore how the human visual system affects how plots are understood
- Learn common concerns and mistakes that can lead to confusing or unclear plots
- Discover how to make human perception work for you rather than against you
- Apply visualization theory to improve your plots and other visual communication
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Common Roles
- Business analysts, data analysts, market intelligence analysts, junior data scientists, other roles that work with data regularly
- Individuals who have some experience manipulating data and want to improve their ability to explore datasets and communicate the insights they discover by making effective data visualizations
Key Takeaways:
Gather insights from data
- View and explore data by making relevant plots using plot elements effectively
- Use exploration techniques to unearth patterns and trends that matter
Create visualizations for different audiences
- Tailor your plots based on your audience’s background, knowledge, and expectations
- Have an array of plot options to choose from, to engage and convince without overwhelming your audience
Inform and persuade decision makers
- Turn your insight and recommendation into an accessible visualization
- Tell your story with a plot that makes your point clear, unambiguous, and convincing
