Price: USD59.99* This article was originally published here
Wednesday, September 30, 2020
Microsoft Professional Capstone : Artificial Intelligence
Showcase the knowledge and skills you’ve acquired during the Microsoft Professional Program for Artificial Intelligence, and solve a real-world AI problem in this program capstone project. The project takes the form of a challenge in which you will develop a deep learning solution that is tested and scored to determine your grade.Note: This course assumes you have completed the previous courses in the Microsoft Professional Program for Artificial Intelligence.edX offers financial assistance for learners who want to earn Verified Certificates but who may not be able to pay the fee. To apply for financial assistance, enroll in the course, then follow this link to complete an application for assistance.* This article was originally published here
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Tuesday, September 29, 2020
Introduction to Internationalization and Localization
Are you a developer who wants to understand how their software can get released internationally, without their source code having to be altered? Or are you a PM responsible for launching a website across different markets? Or someone who is just curious to understand how digital products can be launched worldwide and in various languages? Then this is the course for you!In this introduction to internationalization and localization you will learn Why it makes sense to release an app or a site outside of its original market in the first place What markets to cover first, for example those that have specific legal requirements around availability of a particular language The basic concepts and key terms of the industry: for example, how using Unicode and considering different time formats are both part of internationalization, how adapting the user interface of a software application is part of localization and what resource files have to do with localizability The different types of international releases and their specific challenges The different localization methods The history of the industry and important trends Roles and responsibilities Localization sourcing models, including outsourcing to so-called language service providers How to work successfully in the very international localization industry* This article was originally published here
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Fundamentals of Statistics
Statistics is the science of turning data into insights and ultimately decisions. Behind recent advances in machine learning, data science and artificial intelligence are fundamental statistical principles. The purpose of this class is to develop and understand these core ideas on firm mathematical grounds starting from the construction of estimators and tests, as well as an analysis of their asymptotic performance.After developing basic tools to handle parametric models, we will explore how to answer more advanced questions, such as the following: How suitable is a given model for a particular dataset? How to select variables in linear regression? How to model nonlinear phenomena? How to visualize high-dimensional data? Taking this class will allow you to expand your statistical knowledge to not only include a list of methods, but also the mathematical principles that link them together, equipping you with the tools you need to develop new ones.This course is part of the MITx MicroMasters Program in Statistics and Data Science. Master the skills needed to be an informed and effective practitioner of data science. You will complete this course and three others from MITx, at a similar pace and level of rigor as an on-campus course at MIT, and then take a virtually-proctored exam to earn your MicroMasters, an academic credential that will demonstrate your proficiency in data science or accelerate your path towards an MIT PhD or a Master's at other universities. To learn more about this program, please visit https://micromasters.mit.edu/ds/.* This article was originally published here
Monday, September 28, 2020
FinTech Ethics and Risks
FinTech has started a global revolution in the financial services industry, and the transformation will only increase in coming years. There are many ways in which FinTech can improve the lives of people around the world; however, those same technologies can also be used to enslave, coerce, track, and control people. Accordingly, it is appropriate and necessary to consider the implications of the introduction of these technologies so that they are utilized properly, regulated sufficiently, and their adoption does not come at the expense of societal growth. This 6-week online course covers 6 modules, representing the full spectrum of finance, technology, and the introduction of FinTech solutions globally. We will ask questions that are not often asked or addressed when new technologies are adopted. Why should we adopt FinTech solutions, and what are the best ways to introduce disruptive technologies? How does blockchain technology change the way we provide financial services, and how should blockchain technology be governed? Is FinTech creating risks in cybersecurity and how can technology help us prevent financial crimes? As Artificial Intelligence (AI) is developed and adopted, will human biases and prejudices be built into such mechanisms? And at a larger scope, should FinTech lead to a decentralized, democratized system of finance, or will existing institutions adopt FinTech strategies to cement their existing hold on the financial markets?Through discussing and attempting to answer these questions, you will understand better how the introduction of these technologies can benefit or harm society. And through considering the proper application or introduction of such technologies, you will learn to make better decisions as an individual and organization when facing the question: is FinTech our savior or a villain?* This article was originally published here
Continuous Integration and Continuous Deployment
This course provides knowledge and skills to implement the DevOps practices of Continuous Integration and Continuous Deployment with Visual Studio Team Services (VSTS) and Microsoft Azure.The course will provide knowledge of continuous integration builds, automated testing and continuous delivery and deployment build, test, and release to the next level by understanding how they function within a DevOps development environment. The course will also cover how VSTS integrates with third party and OSS tools, such as Git and Jenkins,The course is intended for IT Professionals who are interested in crossing over into development territory towards the goal of establishing a DevOps culture, and Developers who want to learn more about the development processes of DevOps in order to extend upon Agile processes for rapid delivery. Students curious about DevOps practices as a culture shift, but do not have extensive experience with VSTS or Microsoft Azure, should be able to follow the procedural and expository explanations of continuous integration and continuous delivery.* This article was originally published here
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Probability and Statistics in Data Science using Python
The job of a data scientist is to glean knowledge from complex and noisy datasets. Reasoning about uncertainty is inherent in the analysis of noisy data. Probability and Statistics provide the mathematical foundation for such reasoning. In this course, part of the Data Science MicroMasters program, you will learn the foundations of probability and statistics. You will learn both the mathematical theory, and get a hands-on experience of applying this theory to actual data using Jupyter notebooks. Concepts covered included: random variables, dependence, correlation, regression, PCA, entropy and MDL.* This article was originally published here
Sunday, September 27, 2020
Data Science Ethics
As patients, we care about the privacy of our medical record; but as patients, we also wish to benefit from the analysis of data in medical records. As citizens, we want a fair trial before being punished for a crime; but as citizens, we want to stop terrorists before they attack us. As decision-makers, we value the advice we get from data-driven algorithms; but as decision-makers, we also worry about unintended bias. Many data scientists learn the tools of the trade and get down to work right away, without appreciating the possible consequences of their work. This course focused on ethics specifically related to data science will provide you with the framework to analyze these concerns. This framework is based on ethics, which are shared values that help differentiate right from wrong. Ethics are not law, but they are usually the basis for laws. Everyone, including data scientists, will benefit from this course. No previous knowledge is needed.* This article was originally published here
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Electronic Trading in Financial Markets
Taught by instructors with decades of experience on Wall Street, Electronic Trading in Financial Markets is a comprehensive study of the impact of technology on financial market systems. This economics and finance course provides students with a foundation in market structure (what is ‘liquidity?’) before building to introduce electronic trading fundamentals (order books) and advanced electronic trading techniques (algorithmic trading). Learners will study the history of technology in markets, the details of electronic trading protocols and the impact of innovation on market structure. This course is broken down into 6 modules: Module 1: Fundamentals of Market Structure Module 2: Fundamentals of Electronic Trading Module 3: Mechanics of an Order Book Module 4: Advanced Electronic Trading Module 5: Electronic Trading in Fixed Income Module 6: Innovation Guidelines Upon completion of this course, participants will receive a certificate bearing the New York Institute of Finance (NYIF) name. A NYIF certificate, highly valued in the financial industry, will bolster a resume or LinkedIn profile and prove the skills you’ve gained to potential employers.* This article was originally published here
Saturday, September 26, 2020
Irrigation Efficiency: more food with less water
How can we meet the demands of our ever hungrier and thirstier world? Irrigation water uses 70% of the fresh water extraction worldwide to produce 40% of the food. Arid countries are dependent on these crop production systems but irrigation is usually operated at low efficiency. There is great potential to increase food output per drop of water from field through farm up to catchment level. In this intermediate course you will learn about the irrigation supply chain, from water sources to root zone. First, you’ll learn to calculate the amount of water plants need to produce a healthy and plentiful crop. You will then see how this water is supplied to the roots and how it gets to the field from the source.We’ll see how efficiency influences the design and operation of both the water application and conveyance components of irrigation systems. Towards the end we will explore a number of real-world systems including drip irrigation and surface irrigation. Together with experts in irrigation we will see different perspectives on efficiency.As you progress through the course, you will understand the drivers of irrigation efficiency for irrigators, water users and communities. This will allow you to see efficiency at the scale of the entire water resource, taking a more holistic view of water flows, water losses and possible water savings. At this stage in the course we’ll invite you to talk about a system in your country and apply this holistic water resource view.Equipped with this knowledge you will be prepared to start producing more food with less water.The course is run by KU Leuven in Belgium which has a long-standing tradition of teaching water resources subjects. Together the instructors have several decades of teaching experience in irrigation and water resources. The course is accessible to students from a variety of backgrounds, as long as they have the prerequisite knowledge. It will be especially beneficial to individuals involved in irrigation projects who can put the techniques and ideas discussed into practice.* This article was originally published here
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Friday, September 25, 2020
Risk Management in Development Projects
Project teams usually spend a large portion of their time solving problems instead of preventing them. Project risk management seeks to preemptively manage positive and negative events that may affect a project so as to improve its chance of success.What will you be able to do by the end of the course? Identify risks in scenarios of uncertainty Determine who can help you Understand how to manage risks in settings with limited resources Develop risk response strategies Monitor and update risks throughout the life of the project Who is this course for? Project managers or supervisors Project team members Funders and financiers Public officials from national, subnational, and municipal entities Professionals from different fields who help develop and execute projects Professionals Interested in risk management in development projects By taking this course you will have the opportunity to share your knowledge and experience with other participants. There will be a case study through which you will be able to apply best risk-management practices to a project and you will also carry out practical exercises that will help you understand key concepts.Course content is based on the Inter-American Development Bank’s risk management methodology, which is aligned with A Guide to the Project Management Body of Knowledge, Sixth Edition, 2017, of the Project Management Institute (PMI)®.The Project Management Institute (PMI®) has authorized the INDES, a Registered Education Provider (R.E.P.), to grant 30 professional development units (PDUs) if you receive the certificate for this course.* This article was originally published here
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Budgeting and Finance for Public Libraries
Money isn’t generally the first topic that comes to mind when thinking about libraries, however it is a critical resource that touches every aspect of the organization. Whether you are an aspiring manager or a library director, it is important that your organization’s finances are aligned with your service goals and priorities. This course, part of the Public Library Management Professional Certificate program, will help you understand how to build a budget, read financial reports, and plan for the long-term sustainability of your library.* This article was originally published here
Gestão de Projetos de Desenvolvimento
*** Este curso será dado em português ***Um dos desafios enfrentados diariamente pelos governos, instituições públicas, agências de desenvolvimento e outros agentes que promovem o desenvolvimento econômico e social na América Latina e no Caribe é transformar propostas em realidades concretas que melhorem o bem-estar da sociedade e permitam que esses resultados sejam alcançados dentro do prazo e com os recursos disponíveis.Este curso apresenta conceitos e ferramentas que podem ser aplicados na gestão de projetos e gerar uma mudança substancial para atingir os objetivos propostos. Assim, este MOOC se propõe a fortalecer a capacidade de gestão de projetos de desenvolvimento para que os governos da Região os executem de forma eficaz e efetiva.Este curso inclui casos práticos que ajudam a entender os principais conceitos e ferramentas para o gerenciamento de projetos, apresentações de pessoal certificado como Project Management Professional (PMP) ®, com ampla experiência no assunto, fóruns de discussão e leituras selecionadas.A base conceitual deste curso é a metodologia PM4R (Project Management for Results), desenvolvida pelo Instituto Interamericano de Desenvolvimento Econômico e Social (INDES), do BID, cujos conteúdos baseiam-se no Project Management Institute, A Guide to the Project Management Body of Knowledge (PMBOK® Guide) – Sixth Edition, Project Management Institute, Inc., 2017.Embora essas melhores práticas tenham estado presentes por muitos anos em projetos empresariais privados, nos últimos anos, o BID tem liderado o processo de sua incorporação progressiva ao setor público e aos projetos de desenvolvimento, contribuindo para a construção de realidades que melhoram vidas. O INDES, como um Registered Education Provider (R.E.P.), foi aprovado pelo Project Management Institute (PMI) ® para fornecer 30 unidades de desenvolvimento profissional (PDUs), caso você obtenha o certificado deste curso.O período de dedicação estimada para este curso é de 6-7 horas semanais durante 5 semanas. Contudo, por meio da modalidade “em seu próprio ritmo” (self-paced em inglês), você terá a flexibilidade de concluir o curso em um período máximo de 7 meses, do dia 9 de maio a 12 de dezembro de 2019.A preparação deste curso foi financiada pelo Fundo de Fortalecimento da Capacidade Institucional (FISC), graças à contribuição do governo da República Popular da China.PMBOK é uma marca registrada do Project Management Institute, Inc.* This article was originally published here
Thursday, September 24, 2020
Pratiquer la méthode de recherche en sciences humaines et sociales
Où chercher l’information ? Comment s’organiser pour sauvegarder ses données ? De quelle manière référencer ses sources ? Quelle technique adopter pour lire un article scientifique ? Comment formuler sa question de recherche ? Qu’est-ce qu’un cadre théorique ? Quels cas d’application mobiliser ?À l’aube d’un projet de recherche, ces questions – et bien d’autres – taraudent de nombreux étudiants, dès lors perdus face au manque de repères. Le monde de la recherche universitaire s’est doté de méthodes afin de guider l’apprenti chercheur dans cette aventure intellectuelle, depuis les tâtonnements de la recherche d’information jusqu’à la communication des résultats de sa recherche, en passant notamment par l’exploration des données et la construction de modèles d’analyse.Ce cours présente une telle démarche méthodologique, dans une approche pédagogique axée tant sur des savoirs que sur des savoir-faire, permettant de s’approprier et de mettre en pratique les outils ainsi que de tracer les repères nécessaires à l’apprentissage du métier d’universitaire.* This article was originally published here
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Statistical Inference and Modeling for High-throughput Experiments
In this course you’ll learn various statistics topics including multiple testing problem, error rates, error rate controlling procedures, false discovery rates, q-values and exploratory data analysis. We then introduce statistical modeling and how it is applied to high-throughput data. In particular, we will discuss parametric distributions, including binomial, exponential, and gamma, and describe maximum likelihood estimation. We provide several examples of how these concepts are applied in next generation sequencing and microarray data. Finally, we will discuss hierarchical models and empirical bayes along with some examples of how these are used in practice. We provide R programming examples in a way that will help make the connection between concepts and implementation. 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: PH525.1x: Statistics and R for the Life Sciences PH525.2x: Introduction to Linear Models and Matrix Algebra PH525.3x: Statistical Inference and Modeling for High-throughput Experiments PH525.4x: High-Dimensional Data Analysis PH525.5x: Introduction to Bioconductor: annotation and analysis of genomes and genomic assays PH525.6x: High-performance computing for reproducible genomics PH525.7x: Case studies in functional genomics This class was supported in part by NIH grant R25GM114818. * This article was originally published here
Wednesday, September 23, 2020
Entrepreneurial Operations: Launching a Startup
This startup operations course will examine the real-world operational challenges and execution risks associated with getting a new venture started. We will consider start-up ventures in a variety of industries. The course will provide you with a set of steps, frameworks, and tools that can be used to understand the important considerations for building a startup operation from scratch. In each module, the students will be exposed to a different operations-related concept. Lecture notes, readings, and case studies will explore the key operations topics that are important for start-ups. Topics include: The role of Operations in Launching a New Venture Developing an Operations Mindset Using the Value Chain Canvas to document your Startup Operations Operational Risks and Challenges in Launching a New Venture Operations Metrics for Managing New Venture Performance* This article was originally published here
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Tuesday, September 22, 2020
Financial Management in Organizations
Want to learn how to make your corporation’s money make money? In this course you will learn how to compare various investment types, select the most viable financial investment opportunity, and maximize your corporation’s wealth. If you want to get a better understanding of how Wall Street works, this course is for you. You will learn how financial managers use discounted cash flow and rate-of-return analyses to evaluate projects and financial instruments, the role of the cost of capital and the Capital Asset Pricing Model (CAPM) in capital investment analysis and selection, capital budgeting, stock and bond valuation, break-even analysis, capital market efficiency, real options, short-term financial management, and be introduced to international finance.This course is part of the Accounting and Financial Management MicroMaster’s program from UMGC. Upon completion of the program and receipt of the verified MicroMaster’s certificate, learners may then transition into the full UMGC Master’s Program in Accounting and Financial Management without any application process or testing. See the MicroMasters program page for more.* This article was originally published here
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Intro to Traffic Flow Modeling and Intelligent Transport Systems
Travelers in large cities experience significant congestion during their everyday trips. Expanding roads and infrastructure is not a long-lasting remedy to urban congestion. This course will focus on understanding traffic congestion and will explore ways to improve mobility through advanced traffic management schemes. As we all experience, congestion is a highly complex process without a single explanation. An interesting question is: “Can we describe these complex interactions with simple and elegant ways? “ The course will introduce the fundamentals of traffic flow theory and will describe different traffic flow models in micro- and macroscopic level. Network-level aggregated modeling and control approaches are introduced based on the concept of the Macroscopic Fundamental Diagram (MFD). Advanced traffic management schemes (such as adaptive traffic signal control, ramp metering, variable speed limits) are discussed. User equilibrium analysis is introduced through applications of route and departure time choices. Relative reading material, exercises and real data sets are provided.* This article was originally published here
Monday, September 21, 2020
Introduction to Linux
Develop a good working knowledge of Linux using both the graphical interface and command line, covering the major Linux distribution families. Linux powers 100% of the world’s supercomputers, most of the servers powering the Internet, the majority of financial trades worldwide and over two billion Android devices. In short, Linux is everywhere. It appears in many different architectures, from mainframes to server to desktop to mobile and on a staggeringly wide variety of hardware. Moreover, 80 percent of hiring managers reported that they will prioritize hiring Linux talent relative to other skills areas, and 47 percent of hiring managers say they’re more likely to hire a candidate with Linux certification. This course explores the various tools and techniques commonly used by Linux system administrators and end users to achieve their day-to-day work in a Linux environment. It is designed for experienced computer users who have limited or no previous exposure to Linux, whether they are working in an individual or Enterprise environment. Upon completion of this training you should have a good working knowledge of Linux, from both a graphical and command line perspective, allowing you to easily navigate through any of the major Linux distributions. You will be able to continue your progress as either a user, system administrator or developer using the acquired skill set. Join the 800,000+ students who are already enrolled in this course and start your Linux journey.* This article was originally published here
Fundamentals of Red Hat Enterprise Linux
This course will provide you with a basic introduction to Linux® skills using Red Hat® Enterprise Linux 7. It will show you how a Linux system is organized, and will demonstrate introductory system administration tasks, which you will be able to practice on your own. You will be introduced to reasons why Linux and the open source development model are so important in today's computing environment. Linux systems are used everywhere—the internet, point-of-sale systems, and the world's stock markets. You’ll find Linux running smart TVs, in-flight entertainment systems, and most of the top supercomputers in the world. There are many reasons why it is valuable for you to learn Linux. If you are looking for new opportunities in IT, Linux skills are in high demand. For example, if you are developing applications, it's likely your application or its runtime is hosted on Linux. If you're working in the cloud, your cloud instances may be based on Linux, and your private or public cloud environment is also probably based on Linux. If you're working with mobile applications or the Internet of Things, it is also likely that the operating system of your device is based on Linux. And, if you use Windows, you'll need to interoperate with Linux. After completing this course, you will have a solid introduction to working with Linux from the command line, using Red Hat Enterprise Linux 7 as a model. In applying these skills, you will be able to perform fundamental operational tasks, whether your Linux machine is on your desk or on a remote system across the Internet.* This article was originally published here
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Inversión Extranjera como Motor del Desarrollo para América Latina y el Caribe
En las últimas dos décadas, se ha producido un aumento considerable de los flujos de inversión extranjera directa (IED). Tradicionalmente, los flujos de inversión extranjera provenían solo de países desarrollados, pero recientemente los países en desarrollo se han convertido en una fuente significativa de inversiones. Su participación como origen de IED paso del 6% de los flujos globales (1990) antes de la Gran Liberalización, al 32% en 2015, a pesar de la Gran Recesión de 2008.¿Qué significa la inversión extranjera directa para las personas, empresas y economías de América Latina y el Caribe? ¿Cómo pueden los gobiernos atraer con mayor éxito la IED? ¿Pueden las alianzas público-privadas aumentar la inversión extranjera en infraestructura? ¿Cuáles son algunos de los casos de éxito en América Latina y el Caribe?En este curso analizarás el rol de la inversión extranjera en el desarrollo sustentable, sus impactos económicos, las diversas políticas nacionales de inversión —incluyendo el rol de las alianzas público-privadas, las principales disposiciones de los acuerdos internacionales de inversión que obligan a empresas y gobiernos, y distintas estrategias para implementar políticas exitosas de inversión en América Latina y el Caribe.Este curso está dirigido a profesionales del sector privado, funcionarios públicos y estudiantes universitarios interesados en aprender sobre la IED y su importancia económica para las economías, las empresas y las personas en América Latina y el Caribe.La dedicación estimada para aprobar este curso es de cinco a siete horas semanales. El curso estará abierto del 02 de mayo de 2019 al 02 de febrero de 2020.* This article was originally published here
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