Geospatial Raster Data Analytics in Python Preview

Geospatial Raster Data Analytics in Python

With Milan Janosov, Ph.D. Liked by 56 users
Duration: 2h 38m Skill level: Advanced Released: 1/8/2025

Course details

Looking for a comprehensive overview of raster data analytics in Python? An ideal fit for data scientists and geospatial practitioners, this course is designed to help you get started using vector data and various tools in Python, such as GeoPandas and Shapely. Instructor Milan Janosov covers the basics, from creating synthetic raster data to collecting, visualizing, and modifying existing real-world raster data. Along the way, get hands-on practical experience exploring raster data both statistically and visually. By the end of this course, you’ll be equipped with in-demand skills for resampling and reprojecting raster data, combining single-band raster data into multiband raster data, conducting advanced analytics on multiband raster data, and more.

Skills you’ll gain

Earn a sharable certificate

Share what you’ve learned, and be a standout professional in your desired industry with a certificate showcasing your knowledge gained from the course.

Sample certificate

Certificate of Completion

  • Showcase on your LinkedIn profile under “Licenses and Certificate” section

  • Download or print out as PDF to share with others

  • Share as image online to demonstrate your skill

Meet the instructor

Learner reviews

4.5 out of 5

6 ratings
  • 5 star
    Current value: 4 67%
  • 4 star
    Current value: 1 17%
  • 3 star
    Current value: 1 17%
  • 2 star
    Current value: 0 0%
  • 1 star
    Current value: 0 0%

Contents

What’s included

  • Practice while you learn 1 exercise file
  • Learn on the go Access on tablet and phone

Similar courses

Download courses

Use your iOS or Android LinkedIn Learning app, and watch courses on your mobile device without an internet connection.