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Algorithms for DNA Sequencing
by Ben Langmead, PhD , Jacob Pritt- 4.7
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Approx. 12 hours to complete
We will learn computational methods -- algorithms and data structures -- for analyzing DNA sequencing data. We will learn a little about DNA, genomics, and how DNA sequencing is used. Practical: Downloading and parsing a genome Optional lecture: Sequencing errors and base qualities Lecture: Read alignment and why it's hard Pre Course Survey...
Building Fintech Startups in Emerging Markets
by Co-Pierre Georg- 4.5
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Approx. 19 hours to complete
With the rise of fintech, financial solutions using technologies such as the cloud, blockchain and machine learning have by-passed or partnered with established financial institutions to serve new markets. This course is for everyone, and not only those interested in only fintech. Course Trailer: Building Fintech Startups in Emerging Markets Learning and Development for Startups...
Causal Inference
by Michael E. Sobel- 3.3
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Approx. 12 hours to complete
This course provides an introduction to the statistical literature on causal inference that has emerged in the last 35-40 years and that has revolutionized the way in which statisticians and applied researchers in many disciplines use data to make inferences about causal relationships. Lesson 2: Machine Learning and Estimation of Treatment Effects...
Heritage under Threat
by Dr. Sada Mire, Assistant Professor- 4.7
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Approx. 29 hours to complete
In this course you will learn to articulate your own concepts about (threatened) heritage and that of others. Welcome to this course Introduction to this course Welcome to the Centre for Global Heritage and Development What is your learning path? Inclusive heritage, VR and video games On inclusive heritage and the way forward...
Applied Social Network Analysis in Python
by Daniel Romero- 4.7
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Approx. 29 hours to complete
The course begins with an understanding of what network analysis is and motivations for why we might model phenomena as networks. The second week introduces the concept of connectivity and network robustness. This course should be taken after: Introduction to Data Science in Python, Applied Plotting, Charting & Data Representation in Python, and Applied Machine Learning in Python. Course Syllabus...
Data Analysis with R Programming
by Google Career CertificatesTop Instructor- 4.8
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Approx. 37 hours to complete
This course is the seventh course in the Google Data Analytics Certificate. This course will also cover the software applications and tools that are unique to R, such as R packages. Filtering and plots Drawing arrows and shapes in R Glossary: Terms and definitions Hands-On Activity: Aesthetics and visualizations Hands-On Activity: Filters and plots...
Questionnaire Design for Social Surveys
by Frederick Conrad, Ph.D. , Frauke Kreuter, Ph.D.- 4.5
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Approx. 14 hours to complete
This course will cover the basic elements of designing and evaluating questionnaires. We will review the process of responding to questions, challenges and options for asking questions about behavioral frequencies, practical techniques for evaluating questions, mode specific questionnaire characteristics, and review methods of standardized and conversational interviewing. Course Project and Peer Assessment...
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Real-Time Mission-Critical Systems Design
by Sam Siewert- 0.0
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Approx. 50 hours to complete
This course can also be taken for academic credit as ECEA 5317, part of CU Boulder’s Master of Science in Electrical Engineering degree. Upon completion of this course the learner will know the difference between systems you can bet your life on (mission critical) and those which provide predictable response and quality of service (reliable). Course Goals and Learning Objectives...
Magna Carta and its Legacies: Freedom and protest
by Dr Emmett Sullivan- 4.5
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Approx. 10 hours to complete
This course examines the roles that Magna Carta has played historically as well as the importance of Magna Carta today. It aims to equip students with a critical understanding of Magna Carta and its significance around the globe. 2 - Public History and Magna Carta 4 - Magna Carta the Dark Side: Examples of Nativism, Racism and Empire...
Managing Talent
by Scott DeRue, Ph.D. , Maxim Sytch, Ph.D. , Cheri Alexander- 4.6
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Approx. 12 hours to complete
In this course, you will learn best practices for selecting, recruiting, and onboarding talent. You will also learn about the key approaches to measuring performance and evaluating your employees. This course will provide you with the insights, frameworks and tools to effectively manage and develop talent in your teams and organizations....
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