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 and 3-D visualizations and animations, culminating in a final project that shows you how to communicate your spatial analytic findings to information consumers online using ArcGIS StoryMaps. All exercises have detailed instructions and can be completed using the provided login credentials to the desktop and online software applications provided by Esri. Course participants participate in discussion forums to share maps created and to troubleshoot technical issues other students need assistance with, while course instructors moderate and provide insights and motivation to attendees throughout the course.

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) .

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.

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 learned the most, probably because it was such a stretch for me.

I have long been interested in using these spatial statistic tools, but did not feel I could do so competently. This course helped me to become more confident and increased my ability to shed light in a new way on analysis projects.

Thanks to Nick and the rest of the team who spent time on the forums and helped us all learn. My fellow students were very helpful too. Great experience. Sign up for MOOCs.