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[2021] Data Science & Supply Chain Analytics A-Z | Ver 7.2
by William McGuffey Academy- 3.8
5.5 hours on-demand video
Learn A-Z of R, Supply-Chain Data Science, Inventory Optimization, Forecasting, Machine learning and Revenue Management. • Experimental learning through team-based solving of a real-life problem • Curriculum with experiential learning and is based on the working of the industry • Peer learning from experienced fellow candidates EXPERIMENTAL learning through team-based solving of a real-life problem...
$9.99
Geometric Algorithms
by Kevin Buchin- 0.0
Approx. 18 hours to complete
Each technique and concept will be illustrated on the basis of a problem arising in one of the application areas mentioned above. Most of the material in this course is based on the following book:...
Programming with Scratch
by Kenneth W T Leung- 4.1
Approx. 37 hours to complete
Learning coding is not only about understanding the programming language being used, but also developing important computational thinking skills, which are useful for problem solving across many disciplinary areas....
Value-Based Care: Organizational Competencies
by Susie Gronseth , Sara G. McNeil- 0.0
Approx. 4 hours to complete
In previous courses in this specialization, you were introduced to the Accountable Care Learning Collaborative (ACLC). This model, along with additional information from the Health Care Payment Learning and Action Network (HCP-LAN), will help you begin to understand the challenges and rewards of transitioning to value-based care. Explore the Optional Resources Explore the Optional Resources for Module 2...
Teaching Critical Thinking through Art with the National Gallery of Art
by Julie Carmean- 0.0
16 Weeks
Based on the National Gallery of Art’s popular Art Around the Corner professional development program for teachers in Washington, D. When you enroll, all the resources you need for your classroom to strengthen critical thinking by using art will be immediately available. We recommend spending a few hours learning and practicing each section before progressing to the next....
$25
Deep Learning through Transformative Pedagogy
by Robyn M Gillies , Pankaj Sah , Annemaree Carroll , Katherine McLay- 0.0
4 Weeks
How can powerful teaching strategies and effective learning activities enhance deep learning? Deep learning encourages students to become creative, connected, and collaborative problem solvers; to gain knowledge and skills for lifelong learning; and to use a range of contemporary digital technologies to enhance their learning. The importance of communication skills in deep learning...
$59
The Essential Android O Developer Course (Java)
by Jason Fedin- 4.9
39 hours on-demand video
and textfields, Database Interaction, Location Based services,...
$13.99
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Introduction to Statistics: Inference
by Philip B. Stark- 0.0
4 Weeks
An introduction to statistical ideas and methods commonly used to make valid conclusions based on data from random samples. 3x will discuss good ways to select the subset (yes, at random); how to estimate the numerical quantity of interest, based on what you see in your sample; and ways to test hypotheses about numerical or probabilistic aspects of the problem....
$25
Genomic Data Science and Clustering (Bioinformatics V)
by Pavel Pevzner , Phillip Compeau- 4.2
Approx. 10 hours to complete
In this class, we will see that these two seemingly different questions can be addressed using similar algorithmic and machine learning techniques arising from the general problem of dividing data points into distinct clusters. Finally, you will learn how to apply popular bioinformatics software tools to solve a real problem in clustering. Clustering as an Optimization Problem...
Data Science Fundamentals for Data Analysts
by Emma Freeman , Mark Roepke- 0.0
Approx. 19 hours to complete
Supervised and Unsupervised Learning Basics of Machine Learning Practical Machine Learning A Review of Supervised Learning and Regression Assigning Classes Based on Probabilities A Review of Problem Framing Measurable Problem Objectives Problem Constraints Machine Learning Solutions Discussion Intro Machine Learning Solutions...