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Going Places with Spatial Analysis
May 11, 2016 - June 22, 2016 http://www.esri.com/mooc/going-places?utm_source=esri&utm_medium=email&utm_term=163903&utm_campaign=mooc_2016 
This is a useful course being offered online by ESRI about spatial analysis with GIS. This is going to be very useful for any of you-even if you have taken Principles of GIS. This has a focus on spatial analysis which is not as much the focus in that class that I teach.
This will also be a good complementary course for those who have or are currently enrolled in the Geographic Information Analysis course.
This course will also introduce you to ArcGIS Online-so all in all a very good deal for all students!
And a good prep course for future upper level courses in GIS at OU for continuing students.
See the highlights and the syllabus below that I copied from the link above.

Highlights
Hands-on exercises, short video lectures, quizzes, case studies, and discussion
Six week course, two-three hours of study per week
Certificate of completion and awards

Syllabus
Section 1
Going Places with Spatial Analysis
Consider the special characteristics and value of spatial data and analysis, and then get started with ArcGIS Online.

Section 2
Understanding and Comparing Places
Watch brief lectures about fundamental topics like queries, scale of analysis, descriptive statistics, and projection. Query a layer and sum attributes to make a map showing the best locations for new mixed-use development.

Section 3
Determining How Places Are Related
Learn about vector overlay, the modifiable areal unit problem, and normalizing data for choropleth mapping. Use ArcGIS Online to analyze watersheds for water quality monitoring, and summarize the number of streetlights in a city's maintenance assessment district.

Section 4
Finding the Best Locations and Paths
Discuss topology, site suitability, cost paths, and other key concepts. Find suitable sites for a grocery distribution center and preferable areas for cougar habitat using ArcGIS Online.

Section 5
Detecting and Quantifying Patterns
Lecture topics include density surfaces, spatial autocorrelation, and spatiotemporal analysis. Use density and hot spot analyses to visualize patterns of personal and property crimes.

Section 6
Making Predictions
Learn about spatial interaction, regression, surface analysis, and interpolation. Use ArcGIS Online to interpolate sample points and make a map showing areas at risk of long-term poor air quality.

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