Upcoming Paid Online Courses (287)
If you’re interested in data analysis and interpretation, then this is the data science course for you.
Enhanced throughput: Almost all recently manufactured laptops and desktops include multiple core CPUs. With R, it is very easy to obtain faster turnaround times for analyses by distributing tasks among the cores for concurrent execution. We will discuss how to use Bioconductor to simplify parallel computing for efficient, fault-tolerant, and reproducible high-performance analyses. This will be illustrated with common multicore architectures and Amazon’s EC2 infrastructure.
Enhanced interactivity: New approaches to programming with R and Bioconductor allow researchers to use the web browser as a highly dynamic interface for data interrogation and visualization. We will discuss how to create interactive reports that enable us to move beyond static tables and one-off graphics so that our analysis outputs can be transformed and explored in real time.
Enhanced reproducibility: New methods of virtualization of software environments, exemplified by the Docker ecosystem, are useful for achieving reproducible distributed analyses. The Docker Hub includes a considerable number of container images useful for important Bioconductor-based workflows, and we will illustrate how to use and extend these for sharable and reproducible analysis.
Given the diversity in educational background of our students we have divided the series into seven parts. You can take the entire series or individual courses that interest you. If you are a statistician you should consider skipping the first two or three courses, similarly, if you are biologists you should consider skipping some of the introductory biology lectures. Note that the statistics and programming aspects of the class ramp up in difficulty relatively quickly across the first three courses. By the third course will be teaching advanced statistical concepts such as hierarchical models and by the fourth advanced software engineering skills, such as parallel computing and reproducible research concepts.
These courses make up 2 XSeries and are self-paced:
This class was supported in part by NIH grant R25GM114818.
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All around us, engineers are creating materials whose properties are exactly tailored to their purpose. This course is the first of three in a series of mechanics courses from the Department of Materials Science and Engineering at MIT. Taken together, these courses provide similar content to the MIT subject 3.032: Mechanical Behavior of Materials.
The 3.032x series provides an introduction to the mechanical behavior of materials, from both the continuum and atomistic points of view. At the continuum level, we learn how forces and displacements translate into stress and strain distributions within the material. At the atomistic level, we learn the mechanisms that control the mechanical properties of materials. Examples are drawn from metals, ceramics, glasses, polymers, biomaterials, composites and cellular materials.
Part 1 covers stress-strain behavior, topics in linear elasticity and the atomic basis for linear elasticity, and composite materials.
Part 2 ccovers stress transformations, beam bending, column buckling, and cellular materials.
Part 3 covers viscoelasticity (behavior intermediate to that of an elastic solid and that of a viscous fluid), plasticity (permanent deformation), creep in crystalline materials (time dependent behavior), brittle fracture (rapid crack propagation) and fatigue (failure due to repeated loading of a material).
*** Ce cours sera enseigné en français. ***
Au sujet de ce cours:
Jour après jour les institutions publiques, les organisations non gouvernementales, les agences de développement ainsi que d'autres acteurs travaillant en faveur du développement économique et social en Amérique latine et dans les Caraïbes, font face à un défi majeur. Il s'agit de savoir comment transformer les propositions en réalités concrètes qui puissent améliorer le bien-être de la société et d'atteindre les résultats avec le temps et les ressources disponibles. Ce cours présente les concepts et les outils qui peuvent être appliqués à la gestion de projet, pouvant générer d'importantes améliorations pour atteindre les objectifs fixés. Ce MOOC vise donc à renforcer les capacités de gestion des projets de développement dans la région afin qu'ils soient mis en œuvre efficacement. Ce cours inclut des études de cas qui aident à comprendre les concepts et les outils clés pour la gestion de projet. Le cours comprend également des présentations de Project Management Professionals (PMP)® ayants une grande expérience dans le sujet, des forums de discussion, ainsi que des conférences sélectionnées.
La base conceptuelle de ce cours est la méthodologie de PM4R (Gestion de projet axée sur les résultats), développée par l'Institut de développement économique et social (INDES) de la BID. Les contenus sont basés sur les travaux du Project Management Institute, A Guide to the Project Management Body of Knowledge, (PMBOK® Guide)- Fifth Edition, Project Management Institute, Inc., 2013.
Bien que les meilleures pratiques soient présentes depuis de nombreuses années dans des projets privés d'entreprise, la BID a conduit dernièrement un processus pour leur incorporation progressive dans le secteur public, ainsi que dans les projets de développement, le tout afin d'améliorer la qualité de vie des habitants de la région.
L'INDES, en tant que Registered Education Provider (R.E.P.), a reçu l'autorisation du Project Management Institute (PMI)® pour fournir 30 unités de développement professionnel (PDUs) en cas d'obtention du certificat du cours.
Si vous avez une question, écrivez-nous à firstname.lastname@example.org.
La préparation de ce cours a été financée par le Fonds pour le renforcement des capacités institutionnelles (ICSF), grâce à la contribution du Gouvernement de la République populaire de Chine.
PMBOK est une marque déposée par le Project Management Institute, Inc.
According to world-renowned management consultant, Peter Drucker, "Marketing is the only distinguishing and unique function of business…There is only one valid definition of business purpose and that is to create a customer.”
While the significance of marketing in today’s business world can never be overstated, it is the precise understanding and appreciation of marketing management that needs to be accentuated. Marketing management allows an organization to track, review and analyze their marketing resources and activities.
In this marketing course, you will learn the fundamentals of marketing management, as you gradually learn advanced theories and applications through real world business examples, illustrations, cases and exercises. You will learn how marketing management tools can be used to increase your customer base, improve customer satisfaction and increase your company’s overall perceived value.
You will learn how marketing serves as a key element within an organization’s strategy.
Computational thinking is an invaluable skill that can be used across every industry, as it allows you to formulate a problem and express a solution in such a way that a computer can effectively carry it out.
In this course, part of the Big Data MicroMasters program, you will learn how to apply computational thinking in data science. You will learn core computational thinking concepts including decomposition, pattern recognition, abstraction, and algorithmic thinking.
You will also learn about data representation and analysis and the processes of cleaning, presenting, and visualizing data. You will develop skills in data-driven problem design and algorithms for big data.
The course will also explain mathematical representations, probabilistic and statistical models, dimension reduction and Bayesian models.
You will use tools such as R, MOA and data processing libraries in associated language environments.
In this global history course, you will learn not just by reading and watching lectures, but also by analyzing historical documents and applying your knowledge. The core of this course is a series of weekly lab assignments in which you and your fellow students will work in teams to use historical knowledge from the course to solve problems and develop new connections and interpretations of primary historical materials.
The course begins in 1300 AD at the height of the Silk Road, the triumphs of the Mongol Empire, and the spread of one of the most devastating contagions of all time, the Black Death. It examines the emergence of an international system of competitive empires and its effect on trade and exchange. We look at the Age of Revolution, and discuss industrialization during the 1800s. The course concludes with a close look at the 20th century and current-day globalization.
Course themes include migration and statelessness, economic integration, warfare and conflict, the transformation of the ecological balance, and cultural responses and innovations. To grapple with these themes, we explore first-hand perspectives of historical actors through a collection of texts and images.
This course integrates and actively supports groups of refugee learners in refugee camps in the Horn of Africa and Jordan, collaborating with students at Princeton, in a global learning partnership with InZone at the University of Geneva. This partnerships benefits from collaboration with the United Nations High Commission for Refugees in Azraq and Kakuma refugee camps, CARE in Azraq refugee camp and British Council in Amman, and from financial support from Princeton University, the University of Geneva and the Ford Foundation. We express our sincere appreciation to all who contribute to the implementation of this global learning project.
For you to engage in this experience, Global History Lab will provide you with historical content and a series of collaborative lab activities. Although the lectures are designed to be self-contained, we recommend (but do not require) that you refer to the book Worlds Together, Worlds Apart: A History of the World: From 1000 CE to the Present (Fourth Edition) (vol. 2), which was written specifically for this course.
Technologies are always being defeated.
If you own an information asset that’s valuable enough to the right adversary, it’s only a matter of time before there’s a breach. Today’s technologies attempt to keep adversaries out, but the sad fact is they will inevitably be defeated. This means a successful cybersecurity professional needs to have an expanded arsenal in their toolkit that extends far beyond technical proficiency.
Cybersecurity professionals need to be agile, multifunctional, flexible, and dynamic given how quickly things can change. They need to be able to adapt to change and problem solve quickly, have diverse knowledge to perform many activities, respond to new threats and shift priorities to meet the challenge of the day.
The purpose of this course is to give learners insight into these type of characteristics and skills needed for cybersecurity jobs and to provide a realistic outlook on what they really need to add to their “toolkits” – a set of skills that is constantly evolving, not all technical, but fundamentally rooted in problem-solving.
Students will learn from thought leaders from both the academic and practitioner communities.
Some video game designers are programmers in their own right, and may have even come from that background to a designer’s role. Others have a less formal background. All video game designers should have a solid understanding of what programmers can and cannot do, how assets interact with code, what algorithmic thinking is and how to take advantage of the capabilities of different engines and tools.
Globally, higher education institutions are grappling with the effects of an increasingly digital world. This course provides an overview of how digitization impacts the economics, administration, academics, and research practices of universities and colleges. Higher education administrators, faculty, staff, and students will benefit from this course by exploring the emerging structure and role of higher education.
Participants will engage with key trends that are shaping higher education and learn how these trends are amplified by the growing digital structure of society. In order to prepare their institution to become digital, learners will go through processes of evaluating trends, determining impact on education practices, and finally produce a strategic department or organizational planning document.
Machine Learning is the basis for the most exciting careers in data analysis today. You’ll learn the models and methods and apply them to real world situations ranging from identifying trending news topics, to building recommendation engines, ranking sports teams and plotting the path of movie zombies.
Major perspectives covered include:
- probabilistic versus non-probabilistic modeling
- supervised versus unsupervised learning
Topics include: classification and regression, clustering methods, sequential models, matrix factorization, topic modeling and model selection.
Methods include: linear and logistic regression, support vector machines, tree classifiers, boosting, maximum likelihood and MAP inference, EM algorithm, hidden Markov models, Kalman filters, k-means, Gaussian mixture models, among others.
In the first half of the course we will cover supervised learning techniques for regression and classification. In this framework, we possess an output or response that we wish to predict based on a set of inputs. We will discuss several fundamental methods for performing this task and algorithms for their optimization. Our approach will be more practically motivated, meaning we will fully develop a mathematical understanding of the respective algorithms, but we will only briefly touch on abstract learning theory.
In the second half of the course we shift to unsupervised learning techniques. In these problems the end goal less clear-cut than predicting an output based on a corresponding input. We will cover three fundamental problems of unsupervised learning: data clustering, matrix factorization, and sequential models for order-dependent data. Some applications of these models include object recommendation and topic modeling.
Learn how to monetize Android apps without adversely affecting the user experience. We will present the best practices of advertising, monetizing and publishing your Android app. We will also present an introduction to business models that will help you make money from an app using Google AdMob, Google’s mobile advertising platform specifically designed for mobile apps.
This course is part of the GalileoX Android Developer MicroMasters Program that is specifically designed to teach the critical skills needed to be successful in this exciting field and to prepare you to take the Google Associate Android Developer Certification exam. In order to qualify for the MicroMasters Credential you will need to earn a Verified Certificate in each of the four courses as well as the Final Project.
Responsive cities define the future of urbanization. They evolve from smart cities, with a fundamental difference: The citizens move from the center of attention to the center of action. Responsive citizens use smart technology to contribute to planning, design and management of their cities.
Responsive cities are about bringing cities back to their citizens. Responsive cities change the way the technology of a smart city is used. The first Smart Cities were technology driven and they produced large amounts of data from fixed or centrally controlled sensors. But by now, the citizens and their mobile phones have taken the leading role in direct data generation. Rather than using data that are centrally collected and stored, you will see platforms on which the citizens place the data and the information they decide to share. With this, your own responsibility becomes a foundation of a Responsive City. Cities evolve from being smart to being responsive.
To demonstrate the potential of Responsive Cities, this course will define the concept of Citizen Design Science, a combination of Citizen Design, Citizen Science and Design Science. Experts, citizens and scientists participate in Citizen Design Science. This approach is still in an early stage of development, but with the Responsive Cities Massive Open Online Course, you will be ahead in exploring and defining its possibilities.
‘Responsive cities’ is the fourth edition of the ‘Future Cities’ series on urban MOOCs. The ‘Future Cities’ series is the first and complete series of urban courses dealing with the design, management and transformation of cities for their sustainable and resilient future. With every edition, the series becomes more interactive. It increasingly empowers citizens around the world to become part of the development of their own cities, especially in those places where this knowledge is needed most. Therefore, the course is inclusive for every individual interested in the planning, construction, redevelopment and management of future cities. The course is open to anyone regardless of background, skills, knowledge, or age.
Preventive security and reducing privacy threats are global issues in the 21st century. This world first course investigates the biological traits that uniquely identify individuals such as fingerprints, irises and signatures and the biometric technologies that safeguard against identify theft and electronic fraud.
Do you enjoy working with college students and are looking for a career where you can make an impact within their lives? Or maybe you’re a student affairs professional who needs to brush up on best practices in the field? Exploring the Student Affairs in Higher Education Profession free online course is designed for both audiences.
Conoce la obra inspiradora de los principales pintores europeos desde 1400 hasta 1800 aproximadamente, y descubre los problemas que encuentran su expresión en el arte de la pintura. En este amplio marco temporal se incluyen artistas de la importancia de Leonardo da Vinci, Caravaggio, Velázquez, Rembrandt, Vermeer o Goya.
Los pintores durante este periodo estaban preocupados por ideas tales como la búsqueda de la belleza, los placeres y dolores asociados al amor, la demostración de poder y estatus, o la relación de hombres y mujeres con la divinidad y la naturaleza. En las pinturas del período cubierto en este curso se encuentran rastros de la aparición de la mentalidad moderna, así como información sobre cuestiones tales como los roles respectivos de los hombres y las mujeres en el mundo.
Este curso se centrará en imágenes de pinturas de los artistas que figuran en el programa del curso. Las discusiones que tendrán lugar en el "Foro del curso" nos permitirán abordar una gama más amplia de cuestiones.
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