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Independent

Spatial Data Science: The New Frontier in Analytics

Esri via Independent

This course may be unavailable.

Overview

Use location to find patterns and tackle complex problems.

Spatial data science allows analysts to extract deeper insight from data using a comprehensive set of analytical methods and spatial algorithms, including machine learning and deep learning techniques. This course explores the application of spatial data science to uncover hidden patterns and improve predictive modeling. You'll work with powerful analytical tools in Esri's ArcGIS software and learn how to integrate popular open data science packages into your analyses.

 

 

Reviews

4.9 rating, based on 57 Class Central reviews

Start your review of Spatial Data Science: The New Frontier in Analytics

  • Excellent opportunity to delve into detail on data preparation and analysis for spatial data science projects -- including video explanations of various machine learning and deep learning algorithms with spatial components + learn about space-time c…
  • This was a very great course, it helped me boosted my knowledge of Spatial Data Science and also teach more about how to use Deep Learning approach to solving Spatial problems.
  • This course is an overview of some of the endless number of tools offered by ArcGIS. The course includes weekly short videos and one or two practical exercises on ArcGIS. The video lessons are really... gentle. They don't include technical details…
  • Anonymous
    I recently had the opportunity to take the Spatial Data Science course offered by Esri, and I must say it was an exceptional learning experience. As someone interested in leveraging geographic information systems (GIS) and spatial analysis technique…
  • Anonymous
    A very interesting and intuitive MOOC, the exercises are tailored to the issues addressed, and the topics covered are topical if not cutting-edge.
  • This course was challenging yet fun with many interactive exercises in data engineering, visualization, predictive analysis, hot spot analysis, and much more! The course used Jupyter notebooks, Pandas data frames and basic python to walk us through exercises. It was a great introduction to the capabilities of ArcGIS Pro. I would highly recommend taking this course when it is available again.
  • Thiruchelvam Sujeevan
    Over the past six weeks, I gained an in-depth understanding of Geographic Information Systems (GIS), particularly through hands-on experience with ArcGIS software. One of the most memorable concepts was how powerful GIS can be in analyzing and visua…
  • Profile image for Mohammed Al-Arooma
    Mohammed Al-Arooma
    What I enjoyed most about this course was the opportunity to learn about and apply a variety of spatial analysis techniques. I found it really engaging to work through real-world problems and use tools like ModelBuilder, ArcGIS Notebooks, and StoryM…
  • Profile image for Kaushal Chapagain
    Kaushal Chapagain
    The course is one of the best course that i have done. It includes videos which are very concise, insightful and entertaining. The exercise steps are very easy to follow avoiding ambiguity. The additional exercise (or called stretch goals in the co…
  • Adekunle Taiwo Joseph
    It was excellent. I love it
    Thank you esri for putting this together and making it MOOC course. The course had spark a light in me to study more spatial analysis courses. I'm glad I took the course.
  • Profile image for Deissy Arango
    Deissy Arango
    Useful and understandable!!!... super recommended for people know basic of Geographic Information Systems,
  • Anonymous
    The course offers access to ArcGIS Pro 2.8 and guided me through diverse methodologies of spatial data analysis, including data visualization, pattern mining, or creating a suitability model. I strongly recommend it to anyone who is interested in spatial data analysis. The most enjoyable thing was the community that was formed during the course (through the forum). Definitively worth it!
  • Kamal Pandey
    This course has allowed me to learn the concept of basic spatial analysis to the advanced spatial analysis through AI/ML/DL approach. The course is very usefull for all the beginner of Spatial Data Science and aspire to build a career in SDS.
  • Anonymous
    A highly recommended, enjoyable, and useful training class. This course easily explained some really tough concepts about GIS Analysis, Data Science and Analysis, and statistical tools. It introduced the student to Python, R, Jupyter Notebooks, condas, Pandas, machine learning, automated intelligence, deep learning, suitability analysis, point pattern analysis, space-time pattern mining, story books to reach non-GIS audiences, statistical regression analysis, and about data and clean inputs. All of the subjects were covered in understandable, practical, and real-life ways, encouraging one to find new ways to apply what was presented. The students could learn from or help others through a forum that one could post problems and solutions.
  • Anonymous
    I enjoyed the ArcGIS Story- I got steadily engrossed while reading the story "In the Shadow of a Volcano”. How beautifully it is written, each sentence connects to the real-world scenario and adding maps and photos were simply tip on that. I understand that analysis can be more effective and approachable if a tale is attached to it. I also loved that how Hot Spot Analysis, Deep Learning and Finding Patterns can help the predictions. Great work done by team. Thanks for your effort!!!
  • Kamila Gorecka
    Very well prepared course, everything was thoroughly explained. The course covered many topics and functions that ArcGIS offers. Supplementary videos were helpful to understand the background of the analysis and how to choose the right tool for the specific analysis.
  • Anonymous
    This course was extremely helpful in understanding what place "spatial" takes in machine learning. It definitely requires some stats/modeling experience, although most concepts were explained simply and effectively. The course takes you through all four stages of a data science project: ETL, training, inferencing, and sharing the results. I especially liked how much focus the course gave to the art of storytelling.
  • Anonymous
    I didn't know how to use ArcGIS Pro. Nevertheless, it was very understanding. It has exercises, examples, videos and links for more information. I think that it was a very complete course. So I recommeded it.
  • Anonymous
    The program is clear, concise, and well-explained. A fantastic accessible approach to tools that at first blush seem too complicated for a beginner to touch. You will understand more than you think!
  • Anonymous
    It has very down to earth yet informative videos. They team did a very good job with explaining complex concepts such that you do not need to have a background in spatial sciences to take the course.

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