Search result for Spatial data science Online Courses & Certifications
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PyTorch: Deep Learning with PyTorch - Masterclass!: 2-in-1
by Packt Publishing- 3.9
7.5 hours on-demand video
PyTorch: written in Python, is grabbing the attention of all data science professionals due to its ease of use over other libraries and its use of dynamic computation graphs. PyTorch is a Deep Learning framework that is a boon for researchers and data scientists. You will explore how you can make use of unlabeled data using Auto-Encoders....
$11.99
Climate Adaptation for Human Health
by Kathryn Conlon- 4.5
Approx. 19 hours to complete
Informing Adaptation: Collecting Data for Adaptation Collecting Data for Adaptation Health Data Climate Change and Health Data Using Climate Data for Public Health Contextual Data Informing Adaptation: Collecting Data for Adaptation (Optional) A practical implementation science heuristic for organizational readiness: R= MC2 Identify and navigate at least one source for health, environmental, and vulnerability data...
Measurement – Turning Concepts into Data
by Jennifer Bachner, PhD- 4.8
Approx. 11 hours to complete
When and Why to Standardize Your Data Analyzing Roll Calls with Perfect Spatial Voting...
Model Thinking
by Scott E. Page- 4.8
Approx. 27 hours to complete
Models help us to better organize information - to make sense of that fire hose or hairball of data (choose your metaphor) available on the Internet. The models covered in this class provide a foundation for future social science classes, whether they be in economics, political science, business, or sociology. Using and Understanding Data Spatial Choice Models...
Problem Solving, Python Programming, and Video Games
by Duane Szafron , Paul Lu- 4.2
Approx. 78 hours to complete
This course is an introduction to computer science and programming in Python. Important computer science concepts such as problem solving (computational thinking), problem decomposition, algorithms, abstraction, and software quality are emphasized throughout. However, a learner can take the knowledge and skills from this course and apply them to non-game problems, other programming languages, and other computer science courses. Computer Science...