Context of the Working with Geospatial Data in Python course at Data Camp
A good proportion of the data out there in the real world is inherently spatial. From the population recorded in the national census, to every shop in your neighborhood, the majority of datasets have a location aspect that you can exploit to make the most of what they have to offer.
You will learn to read tabular spatial data in the most common formats (e.g. GeoJSON, shapefile, geopackage) and visualize them in maps. You will then combine different sources using their location as the bridge that puts them in relation to each other.
And, by the end of the course, you will be able to understand what makes geographic data unique, allowing you to transform and repurpose them in different contexts.
- Spatial relationships
- Projecting and transforming geometries
- Putting it all together - Artisanal mining sites case study
- 1 days
Start dates & application deadlines
DisciplinesInformatics & Information Technology Geographical Information Systems (GIS) Data Science & Big Data View 20 other Short Courses in Geographical Information Systems (GIS) in United States
We are not aware of any academic requirements for this programme.
We are not aware of any English requirements for this programme.
- Data Manipulation with pandas
InternationalFreeTuition FeeBased on the tuition of 0 USD for the full programme during 1 days.
NationalFreeTuition FeeBased on the tuition of 0 USD for the full programme during 1 days.
- Basic Access: Free
- Enterprise: Contact sales for pricing
- Premium (for individuals): $5.75/month billed annually
- Teams (for teams of 2 and up): $5.75 per user /month billed annually
Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.
Apply and win up to €10000 to cover your tuition fees.