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Global Disease Masterclass: Communicable Diseases Epidemiology, Intervention and Prevention
by Helen Ward , Timothy Hallett- 4.8
Approx. 18 hours to complete
This course is all about infectious diseases. We then show how data on this disease can be used to understand important trends and patterns. An Introduction to HIV How to Access a Data Set How to be successful in this course An Introduction to Malaria How to Access Data Introduction to Zika An Introduction to Tuberculosis...
Measuring Disease in Epidemiology
by Filippos Filippidis- 4.7
Approx. 10 hours to complete
Epidemiological research is ubiquitous. These facts may seem obvious today, but it took decades of epidemiological research to produce the necessary evidence. Introduction to Epidemiology How to be successful in this course Course Summary Calculate and interpret appropriate measures in order to describe disease frequency, association and attributable risk for given scenarios....
Quantum Information Science I, Part 3
by Isaac Chuang , Peter Shor- 0.0
7 Weeks
Want to learn about the foundations of quantum communication, including quantum channels and quantum key distribution? This course is the final part of a three-course series that provides an introduction to the theory and practice of quantum computation. This course on quantum information science is a collective effort to further advance knowledge and understanding in quantum information and quantum computing....
$49
Health and Society
by Ichiro Kawachi , Monica Wang- 0.0
4 Weeks
The purpose of this course is to introduce students to the major social variables that affect population health. The purpose of this course is to introduce students to the major social variables—social class, race, gender, poverty, income distribution, social networks/support, community cohesion, the work and neighborhood environment—that affect population health. Read our research statement to learn more....
Dealing With Missing Data
by Richard Valliant, Ph.D.- 3.8
Approx. 18 hours to complete
This course will cover the steps used in weighting sample surveys, including methods for adjusting for nonresponse and using data external to the survey for calibration. Introduction Quantities to Estimate Summary of Course 5...
Digitalisation in Space Research
by Klaus Drechsler , Guenter W. Hein- 4.7
Approx. 13 hours to complete
This course provides an overview of the most important digital applications in the field of aerospace research. The course instructors discuss how digitalisation is impacting and changing both satellite-based and manned spaceflight research. One unit is specifically devoted to exploring the use of artificial intelligence in the evaluation of satellite data. Introduction Introduction of the Course Lecturers...
Climate Change Mitigation in Developing Countries
by Harald Winkler- 4.7
Approx. 18 hours to complete
This course challenges you to consider how one might lift societies out of poverty while also mitigating greenhouse gas emissions. We explore the inherent complexity of developing country governments wanting to grow their economies in a climate friendly way. The course is free to enroll and take. Introduction to climate mitigation...
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Introduction to numerical analysis
by Evgeni Burovski- 4.7
Approx. 18 hours to complete
And this is exactly what this course is about. It is meant to be an introductory, foundational course in numerical analysis, with the focus on basic ideas. Write to us: coursera@hse. Rules on the academic integrity in the course About the course Back to the fixed-point iteration. Canonic form of two-step iterative methods for linear systems....
Learn to Teach Java: ArrayLists and 2D Arrays
by Beth Simon- 0.0
Approx. 12 hours to complete
Learn to program with ArrayLists and 2-D Arrays in Java, and prepare to teach others using the free, online interactive CS Awesome textbook. In this course for teachers we'll guide you both in learning Java concepts and skills but also in how to effectively teach those to your students. Introduction to ArrayLists...
Build Decision Trees, SVMs, and Artificial Neural Networks
by Stacey McBrine- 0.0
Approx. 22 hours to complete
Ultimately, this course concludes the technical exploration of the various machine learning algorithms and how they can be used to build problem-solving models. Build Decision Trees, SVMs, and Artificial Neural Networks Course Introduction Build Decision Trees and Random Forests Module Introduction Decision Trees Compared to Other Algorithms Build Support-Vector Machines (SVM) Module Introduction...