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Spatial Data Science: The New Frontier in Analytics

Esri via Independent


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.




5.0 rating, based on 45 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 cubes...
  • Xenofon Karagiannis completed this course, spending 2 hours a week on it and found the course difficulty to be easy.

    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 or...
  • 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.
  • Profile image for Kaushal Chapagain
    Kaushal Chapagain

    Kaushal Chapagain completed this course.

    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 course)...
  • 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!
  • 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.
  • 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
    I enjoyed the course:Spatial Data Science: The New Frontier in Analytics. The instructors made many of the concepts of data science such as visualization, modelling, pattern detection, predictions, and story mapping simple to understand.
  • Sangat menyenangkan mengikuti kursus online ini, semoga ilmunya bermanfaat dan dapat di kembangkan lagi.. terimakasih
  • Anonymous

    Anonymous completed this course.

    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!!!
  • Anonymous

    Anonymous completed this course.

    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

    Anonymous is taking this course right now.

    Very helpful and insightful course in spatial data science. I enjoyed the videos and exercises that was put together by the team. Introduction to spatial data science concepts and techniques were easy to understand along with examples provided. Overall, a great course and and is highly recommended. Thanks Esri!
  • Anonymous

    Anonymous completed this course.

    Special Data Science is a course that I would recommend for all data science enthusiasts. The course learning materials and exercises provided ensure that the learner gains the hands-on skills from the course.
  • Anonymous

    Anonymous completed this course.

    The course is very good, one of the best I have attended. The team of intructors is excelente and the concepts they share are of great value. The exrecises are well planned to meet the goals.
  • Anonymous
    I have taken many of the ESRI MOOCs and all have been good. I have learned something each time and highly recommend these generous offerings. Of the ESRI MOOCs, I think that "Spatial Data Science: The New Frontier in Analytics" was the MOOC where I...
  • Anonymous
    I am very impressed of how ESRI created advanced but still simple to use for spatial data science. I really enjoyed the course and learnt a lot. I recommend anyone who are interested in acquiring new skills in spatial data science to register for such MOOC.
  • Anonymous

    Anonymous completed this course.

    I wasn't sure what to expect going into the course; however, I found much of the provided material, especially the tutorial exercises to be extremely well prepared and compiled. This was not true for 100% of the material and I found some to be more...
  • Anonymous
    Great course by one of the global players, ESRI.

    Free software for the duration of the course is provided, all you need is a reasonably up-to-date computer, deep learning modeling can take some time.

    course materials are of outstanding quality, pdf's and sample data are for keeps as well as the certificate of course !

    5 stars.
  • Anonymous

    Anonymous completed this course.


    I have taken this course and never regretted it! It is one of the best I have ever participated in. The clarity of language in the training materials is commendable! Esri trainers have made technical concepts sound very simple for any learner of whatever level as far as spatial data science is concerned. The practicality aspect in the training exercises has cemented the understanding of how analytics taught apply in the real world. I believe with this level of understanding, any learner who takes this course will be able to interpret analysis results of tools taught to whatever audience ranging from technical, executives or decision makers to the general public.
  • Luís Chambel Cardoso

    Luís Chambel Cardoso completed this course.

    Data analysis is a key part of my work for over three decades (do you remember ArcView 1.0 and 2.1? I do...).

    I have recently decided to update my knowledge (with a course on R, an ongoing MOOC on the Copernicus system and this MOOC). ESRI's MOOC on Spatial Data Science has been instrumental on tying everything together (my past knowledge and experience and the courses I am taking).

    The course opened my perspective on the ARCGIS Pro capability as bridging tool between spatial data, data science tools (including R and Python) and the decision process in real life.

    It's my first ESRI MOOC; it won't be last.

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