Mapping and Data Visualization with Python (Online)

This is an intermediate-level class that covers libraries for creating static and dynamic visualizations using Python. You will learn how to create charts, plots, maps and apps using various Python libraries. The course also covers advanced data processing techniques using Pandas, GeoPandas, and XArray.

Note: This class requires a basic working knowledge of Python and familiarity with Pandas/GeoPandas.

This is a weekday class offered over 4 live sessions of 3-hours each.

Day 1: Monday 19 December 2022, 6pm-9pm IST (3 hours) [Check Local Time] 

Day 2: Tuesday 20 December  2022, 6pm-9pm IST (3 hours) [Check Local Time]

Day 3: Wednesday 21 December 2022, 6pm-9pm IST (3 hours) [Check Local Time]

Day 4: Thursday 22 December 2022, 6pm-9pm IST (3 hours) [Check Local Time]

Instructor: Ujaval Gandhi

Course Outline

• Introduction to Python Data Visualization Landscape
  
• Tabular and Vector Data Visualization
• Creating charts and plots using Pandas
• Creating maps with GeoPandas
• Using basemaps with Contextily
• Raster and Gridded Data Visualization
• Raster Data Visualization using Xarray and rioxarray
• Mapping Gridded Datasets with Xarray and CartoPy
• Interactive Mapping
• Creating Interactive Maps with Folium
• Creating Multi-Layer Interactive Maps with GeoPandas
• Dashboards and Apps
• Introduction to Streamlit
• Building an interactive mapping dashboard

Learn more about the course content and student reviews on the Course Homepage.

Certification: 

Upon successful completion of all the live online sessions, participants will be issued an employer-verifiable certificate from Spatial Thoughts. Learn more.

About the Instructor:

Ujaval Gandhi is the founder of Spatial Thoughts. He has 15+ years of industry experience and experience building scalable data processing pipelines using Python at Google.

See the full profile at https://spatialthoughts.com/about

Logistics

• Participants will use their laptop.
• The workshop will be conducted over Zoom. Meeting ID and password will be shared by email. 

Refund policy:

• You can cancel your registration up to 7-days before the class and get a full refund.
• For last-minute cancellations, we will try our best to accommodate you to a future batch of this course without an additional charge.
• In the unlikely event that we need to canceled or move the training to a different date, you will be provided a 100% refund.

Student discounts and scholarships available. See eligibility criteria and application process.