Python Foundation for Spatial Analysis (Online)

This hands-on workshop covers Python from the very basics. Suitable for GIS practitioners with no programming background or python knowledge. The course will introduce participants to programming concepts, libraries for working with spatial data, geospatial APIs and techniques for building spatial data processing pipelines.

This is a weekday class offered over 2 weeks.

Day 1: Monday 12 June 2023, 6pm-9pm IST (3 hours) [Check Local Time] 

Day 2: Tuesday 13 June 2023, 6pm-9pm IST (3 hours) [Check Local Time] 

Day 3: Monday 19 June 2023, 6pm-9pm IST (3 hours) [Check Local Time] 

Day 4: Tuesday 20 June 2023, 6pm-9pm IST (3 hours) [Check Local Time] 

Instructor: Ujaval Gandhi

Learning programming takes a lot of practice and months of continuous learning. This class is intended to jump-start your journey by building a foundation and giving you the resources to become a proficient programmer. Each class is limited to a small batch to ensure individual attention, support, and mentoring are given to each participant.

Day 1: Getting familiar with Python

• Setting up the environment using Anaconda and Jupyter notebooks
• Programming basics - variables, data structures, functions, flow control
• Installing and using packages (geopy)

Day 2: Working with Web APIs and Files

• Using web APIs (openrouteservice)
• Reading and writing files (file I/O, csv)

Day 3: Spatial Analysis 

• Introduction to data science workflows (pandas)
• Spatial analysis with Vector data (geopandas)

Day 4: Raster Data Processing and Automation

• Introduction to arrays (numpy)
• Raster data processing (rasterio)
• Building scripts and automating workflows

Class Project:

• Each participant will pick a project relevant to their interest to complete within 2 weeks of the class. 1-1 mentoring and email support will be available during the project. (Estimated time for project: 4-8 hours)
• Participants must complete the project to receive a completion certificate.

This class does NOT cover data visualization libraries. We cover data visualization and building apps in our intermediate course Mapping and Data Visualization with Python.

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

Certification: 

Upon successful completion of all the live online sessions and completing the class project, 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.