Search result for Materials science specialization Online Courses & Certifications
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Algorithms: Design and Analysis, Part 1
by Tim Roughgarden- 0.0
6 Weeks
This specialization is an introduction to algorithms for learners with at least a little programming experience. This specialization is an introduction to algorithms for learners with at least a little programming experience. There are no assignment due dates and you can work through the course materials and assignments at your own pace....
$149
Project Planning and Machine Learning
by David Sluiter- 4.7
Approx. 17 hours to complete
This course can also be taken for academic credit as ECEA 5386, part of CU Boulder’s Master of Science in Electrical Engineering degree. * How to build a bill of materials for a product How to build a bill of materials for a product....
Fundamentals of Scalable Data Science
by Romeo Kienzler- 4.3
Approx. 20 hours to complete
This is the first course of a series of courses towards the IBM Advanced Data Science Specialization. We strongly believe that is is crucial for success to start learning a scalable data science platform since memory and CPU constraints are to most limiting factors when it comes to building advanced machine learning models....
ELL Success in the Content Classroom: Capstone Project
by Claire McLaughlin , Ellen Manos- 0.0
Approx. 15 hours to complete
The lesson plan will include any modified materials for ELLs such as graphic organizers or writing frames pertinent to the lesson's activities. - Modified Materials - Lesson Plan and Materials Rationale The materials created in this project should be immediately useful in your classroom. * Create appropriate modified materials to support your ELLs...
Data Visualization and Communication with Tableau
by Daniel Egger , Jana Schaich Borg- 4.7
Approx. 25 hours to complete
About this Specialization and Course About this Specialization Specialization Overview Using Visualization Science to Influence Business Decisions...
Leadership in Interprofessional Informatics
by Karen Monsen, Ph.D., RN, FAAN , Daniel J. Pesut, Ph.D., RN, FAAN- 4.8
Approx. 28 hours to complete
In this course, students in the health and information technology professions will examine models for interprofessional collaboration and teamwork, practice communication techniques to promote effective interaction, and envision futures literacy in interprofessional informatics scenarios. We will hear from nurses and other informaticians who are leading and working interprofessionally, and glean insights from their diverse perspectives....
Think Again IV: How to Avoid Fallacies
by Dr. Walter Sinnott-Armstrong , Dr. Ram Neta- 4.7
Approx. 18 hours to complete
Introduction to the Specialization...
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Machine Learning Under the Hood: The Technical Tips, Tricks, and Pitfalls
by Eric Siegel- 4.8
Approx. 17 hours to complete
The science behind machine learning intrigues and surprises, and an intuitive understanding is not hard to come by. Complementary materials on p-hacking (optional) John Elder's top ten data science mistakes (optional)...