Search result for Master of science in applied economics Online Courses & Certifications
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Structuring Values in Modern China
by Prof. John Lagerwey- 4.6
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Approx. 25 hours to complete
The focus will be on the moments of paradigm shift from one mode of rationality to another. For each of these moments, cultural facts and artifacts—thought, literature, ritual—will be examined in relationship to changing social, political, and economic systems. A Critical Cultural History of China - Modern China I: Religion and Thought in the Song, Jin, and Yuan (960-1368)...
Welcome to Game Theory
by Michihiro Kandori- 4.7
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Approx. 21 hours to complete
Business competition, political campaigns, the struggle for existence by animals and plants, and so on, can all be regarded as a kind of “game,” in which individuals try to do their best against others. Game theory has been applied to a number of disciplines, including economics, political science, psychology, sociology, biology, and computer science....
Algorithms for Searching, Sorting, and Indexing
by Sriram Sankaranarayanan- 4.6
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Approx. 34 hours to complete
Algorithms for Searching, Sorting, and Indexing can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) degree offered on the Coursera platform. The MS-DS is an interdisciplinary degree that brings together faculty from CU Boulder’s departments of Applied Mathematics, Computer Science, Information Science, and others....
Electric Vehicles and Mobility
by Émeric FORTIN , Virginie BOUTUEIL- 4.5
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Approx. 20 hours to complete
Electric Vehicles and Mobility is the result of this shared history and was developed from a course delivered within the Master Mobility and Electric Vehicles, led by Arts et Métiers ParisTech in partnership with Ensta ParisTech, Mines ParisTech and École des Ponts ParisTech. Issues and Present Situation of Charging Infrastructures in France...
Applied Unsupervised Learning with R
by Packt Publishing- 4.5
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4.5 hours on-demand video
Starting with the basics, Applied Unsupervised Learning with R explains clustering methods, distribution analysis, data encoders, and features of R that enable you to understand your data better and get answers to your most pressing business questions. Bradford Tuckfield has designed and implemented data science solutions for firms in a variety of industries....
$11.99
Become a Python Data Analyst
by Packt Publishing- 4
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4.5 hours on-demand video
world of Data Science and Analytics. known in the community as “Python’s Data Science Stack”. in Applied Mathematics with more than 10 years of experience in analytical roles. training services in Data Science topics and has been a consultant for He also has used it in a couple of software projects....
$15.99
Managing, Describing, and Analyzing Data
by Wendy Martin- 4.4
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Approx. 17 hours to complete
In this course, you will learn the basics of understanding the data you have and why correctly classifying data is the first step to making correct decisions. This course can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) degree offered on the Coursera platform....
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Natural Language Processing with Python: 3-in-1
by Packt Publishing- 3.5
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4.5 hours on-demand video
Tyler holds a Master of Science degree in Mechanical Engineering from Ohio University. Looking forward, Tyler hopes to mentor students in applied mathematics, and demonstrate how data collection, analysis, and post-processing can be used to solve difficult problems and improve decision making. He studied in BITS-Pilani, Rajasthan with dual degree in computer science and economics....
$12.99
Python Machine Learning : Learn Handson™
by Handson ™- 4.7
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7.5 hours on-demand video
Python plays a important role in the adoption of Machine Learning (ML) in the business environment. Now a day’s Machine Learning is one of the most sought after skills in industry. After completion of this course students will understand and apply the concepts of machine learning and applied statistics for real world problems....
$12.99
Introduction to High-Performance and Parallel Computing
by Shelley Knuth , Thomas Hauser- 3.4
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Approx. 18 hours to complete
This course introduces the fundamentals of high-performance and parallel computing. This course can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) degree offered on the Coursera platform. The MS-DS is an interdisciplinary degree that brings together faculty from CU Boulder’s departments of Applied Mathematics, Computer Science, Information Science, and others....
