Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Course Outline
Introduction
- Overview of data visualization core concepts
- Visualization techniques and tools
Getting Started
- Installing the Python libraries (Matplotlib, Seaborn, Bokeh, and Folium)
- Use cases and practical examples
Creating Line Plots and Graphs with Matplotlib
- Creating basic line plots
- Adding styles, axis, and labels
- Combining multiple plots
- Creating bar charts, pie charts and histograms
Building Complex Visualizations with Seaborn
- Visualizing Pandas DataFrame
- Plotting bars and aggregates
- Implementing KDE, Box, and Violin plots
- Analyzing statistical distributions
Making Visualizations Interactive with Bokeh
- Plotting with basic glyphs
- Creating layouts for multiple visualizations
- Styling and visual attributes
- Adding interactivity (interactive legends, hover actions, and widgets)
- Implementing linked selections
Visualizing Geospatial Data with Folium
- Plotting interactive maps
- Using layers and tiles
- Adding markers and paths
Troubleshooting
Summary and Next Steps
Requirements
- An understanding of data science concepts
- Python programming experience
Audience
- Data analysts
- Data scientists
14 Hours
Testimonials (4)
Actual application of spotfire and all basic functions.
Michael Capili - STMicroelectronics, Inc.
Course - Introduction to Spotfire
The intention of the speaker to explain and ensure everything is understood.
Jorge Andres Silva Cisternas - Industria De Conjuntos Mecanicos Aconcag
Course - Advanced Analytics with TIBCO Spotfire
Machine Translated
Real world knowledge from someone in the industry
Matthew Cerbas - Shield Consulting Solutions, Inc.
Course - Grafana
I genuinely enjoyed the lots of labs and practices.