Online courses directory (19947)
The final project will require participants to apply the skills they have developed across each of the four courses of the Specialization, by taking on the role of a financial advisor to a corporation that faces a specific strategic decision.
This course is an introduction to the finite element method as applicable to a range of problems in physics and engineering sciences. The treatment is mathematical, but only for the purpose of clarifying the formulation. The emphasis is on coding up the formulations in a modern, open-source environment that can be expanded to other applications, subsequently.
Learn how light works at the most fundamental level: photon by photon, interacting with one atom at a time!
This is part three of a 3-course sequence on Curanderismo: Traditional Medicine of Mexico and the Southwest.
This course provides theoretical and practical training on the increasingly popular logistic regression model, which has become the standard analytical method for use with a binary response variable.
Learn about how our imagination of the universe and its inhabitants was shaped by literature throughout the last 400 years.
The basic biology of modern genomics and the experimental tools used for measurement. This is the first course in the Genomic Big Data Science Specialization.
Learn to use the tools that are available from the Galaxy Project. This is the second course in the Genomic Big Data Science Specialization.
Introduces to the commands that you need to manage and analyze directories, files, and large sets of genomic data. This is the fourth course in the Genomic Big Data Science Specialization from Johns Hopkins University.
Learn to use tools from the Bioconductor project to perform analysis of genomic data. This is the fifth course in the Genomic Big Data Specialization from Johns Hopkins University.
This class provides an introduction to the Python programming language and the iPython notebook. This is the third course in the Genomic Big Data Science Specialization from Johns Hopkins University.
This Capstone MOOC gives students who have passed all previous courses with Verified Certificates in the Mobile Cloud Computing with Android Specialization. It is an opportunity to integrate and demonstrate the knowledge they've acquired across the six earlier content area courses.
Learn to assess data from clinical trials by performing systematic reviews and meta-analyses.
Bu ders konuşmayı daha etkili hale getirecek temel özellikleri geliştirmeyi amaçlar. Doğru nefes, sesin iyi ve etkili kullanılması, doğru vurgu ve tonlamanın inceliklerinin fark edilmesi için gerekli bilgiler verilir, uygulamalar önerilir ve yapılır.
The "Fundamentals of Computing" series concludes with a two-week course that reviews the series material and whose primary assessment is a cumulative "capstone" exam.
Everyone in education has questions – Practical Learning Analytics is about answering them. To be practical, we’ll focus on data every university records; to keep things interesting, we’ll examine questions raised by many audiences; to ensure impact, we’ll provide realistic data and example code.
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. We will use Python to implement key algorithms and data structures and to analyze real genomes and DNA sequencing datasets.
Learn how to address the main challenges of communication in humanitarian settings and how to implement a communication plan in the midst of humanitarian action.
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