Geospatial APIs For Data Science Applications In Python (Udemy.com)

This course gave me a clear understanding of how to work with geospatial APIs using Python. The instructor explained everything step by step, which made it easy even for beginners. I loved the practical examples and real datasets.

Very well-structured course! I learned a lot about working with geospatial data, APIs, and Python. The lessons were easy to follow, and the examples were relevant to real world applications. The instructor kept everything simple and straight to the point. Great experience overall.

This course gave me a clear and practical introduction to geospatial APIs. The instructor explained each concept step-by-step, and the exercises helped me understand how to apply Python in real projects. I especially liked the hands-on demonstrations. Definitely recommended if you want to build skills in geospatial data science.

Fantastic course for data science and Python lovers. The geospatial API lessons were detailed but easy to follow, and the hands-on projects made all the difference. Highly recommend for anyone wanting to level up their data science skills.

The course presents geospatial APIs in a very clear and organized manner. The instructor explains each concept with practical examples that help reinforce learning. The Python demonstrations are easy to follow and highly applicable to real projects. Overall, it provides strong value for anyone working with location-based data.

instructor could have gone into more detail about the code and the why specific functions were used. also it seems like some sections/videos were missing? i also dont like how she has the code commented out and just re-types the code below without explaining why. what's the point then?

Content is great. That said, there are lots of issues with the versions and updates, meaning a lot of parts can't be followed. Another issue is the continuity, some parts of the lecture are all over the place or are duplicated.

this course was quite informative, however, i felt that the machine learning section was incomplete and could've showed more. The tutor stop bothering with lines of code when an error occurred and she wasn't explaining the codes in detail. Overall, some project exercises with given dataset can improve the quality of the course further.

It was a good introduction, to the Earth Engine, but a list of all opportunities, that the dataset delivers, would be great. (Specially the American and Europe countries) Very nice was the introduction to google colab!

Data science applications with Python using APIs is a concept which has immense potential for practical applications. The course is most useful and relevant for my work. The instructor is superb in her teaching methodology and her knowledge of the subject is par excellent.