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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.
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) are challenging which makes good use of the discussion...
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) are challenging which makes good use of the discussion form and make the course all the more interactive. The concepts, skills and tools that i learned through the course can be applicable in actual projects.
Section 1 covers the topic of Data Engineering and Data visualization .The tool used for this section exercise are ArcGIS Pro and ArcGIS notebook( python).
Section 2 covers the topic of Predictive analysis and Forest based classification and Regression. The exercise consist of creating a prediction model using ArcGIS Pro.
Section 3 covers the topic of Suitability modeling in data science. The exercise consist of creating a suitability model using ArcGIS Pro and bridging with R .
Section 4 covers the important topic of Pattern Detection and Clustering. The exercise consist of Detecting patterns using Hotspot Analysis and Outlier analysis which can be done both in ArcGIS Pro and ArcGIS notebook (python).
Section 5 covers one of the most discussed topic Neural Network and Deep Learning. The exercise consist of using an object detection model which can be done both in ArcGIS Pro and ArcGIS notebook (python).
Section 6 covers concept of communicating results. The exercise consist of creating a story using ArcGIS Storymaps.
The course will help us gain skills by learning to use new tools. It will also aid to your knowledge of Statistics. I would definitely recommend it to everyone involved in projects/researches related to location based analysis and who are interested in data science.
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 math but introduce the concept and the algorithms...
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 math but introduce the concept and the algorithms on an abstract level (e.g they don't dive into K-means but describe what is clustering).
The real value of the course lies on the practical exercises. The course offers students a license for the ArcGIS Desktop App for the duration of the course to complete them.
In the exercises, there are some real scenarios where you have to use some tools within ArcGIS to complete a task. It's obvious that there has been some serious effort regarding the course material and I would recommend the course even just for the exercises.
Overall, I suppose that the goal of the course was a gentle introduction to the various aspects of ArcGIS and as such it does a great job (even though I would like some in-depth, more technical approach) .
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 helpful in terms of necessary background knowledge as well as technical troubleshooting steps; however, overall it was a very well prepared course.
Course participants were also very active on the forum to help with troubleshooting and sharing tips and I think the course managers did a good job of helping facilitate and highlight those interactions.
I would highly recommend for those a) looking to explore a few of Esri's latest tools, including Notebooks and Story Maps b) as well as those who would like to gain more familiarity with ArcGIS Pro.
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.
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.
Very good course, I would recommend to any spatial analyst / data scientist or to non-spatial data scientists! For the first group there are many great resources and explanations to understand statistics and AI concepts as well as an opportunity to think about designing how you communicate analysis results to the wider audience. For non-spatial data scientist it is a great showcase of Esri products and how simple it can be to conduct an analysis. Love the real life exercises and the hands-on approach.
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!!!
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.
great opportunity to get involved not only in data science BUT in spatial data science. Lauren and her team give a great overview and insights in cutting edge techniques and tools that are used among the data science and GIS community.
strongly recommend to every GIS professional. looking forward to have an Esri certificate specifically for Spatial Data Science one day!
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!
I found it to be a very productive course because of the variety and depth of the knowledge I was exposed to. I feel like in this course I learned about many topics, including something about deep learning libraries and tools, Jupyter Notebooks, ArcGIS PRO, ArcGIS Online, Story maps and more.
I need to thanks you guys ! Special Data Science is a course that I would recommend for all data science working in smart and energetic manner. The course was accompanied by skill professionals and the learning materials and exercises amusing and well done.
Great intro to statistics, spatial statistics (which you are interested in, and didn't even know until this course), probability, and a shallow swim through AI and deep learning. Also a fairly thorough introduction to Arc story maps.
This course will convince the last "doubter" (or ArcMap user) to use ArcPro. Detailed exercises, excellent explanatory videos by ESRI staff help to understand concepts, practice analysis skills and show the power of ArcPro.
completed this course, spending 10 hours a week on it and found the course difficulty to be easy.
Esri did a very good job in putting the course together. definitely recommend this course again for anyone in this field to explore. The course made data science activity easy as you have all you need from one source.
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.