Courses tagged with "Business" (1739)

Are you interested in pursuing a degree in Data Science, but unsure whether you have the necessary Math and Programming skills? This assessment will help you identify your current readiness in three core areas required for the study of Data Science; Calculus, Linear Algebra, and Programming.

You can take this assessment at your own pace and receive a private score report that identifies your readiness in each specific area. We will also provide, when necessary, recommendations for additional free online study.

This assessment is free, unproctored, and not offered for credit; it is designed for enrichment and self-assessment for anyone interested in pursuing data science as a career.​

Data structures play a central role in computer science and are the cornerstones of efficient algorithms. Knowledge in this area has been at the kernel of related curriculums. This course aims at exploring the principles and methods in the design and implementation of various data structures and providing students with main tools and skills for algorithm design and performance analysis. Topics covered by this course range from fundamental data structures to recent research results.

数据结构是计算机科学的关键内容，也是构建高效算法的必要基础。其覆盖的知识，在相关专业的课程体系中始终处于核心位置。本课程旨在围绕各类数据结构的设计与实现，揭示其中的规律原理与方法技巧；同时针对算法设计及其性能分析，使学生了解并掌握主要的套路与手法。讲授的主题从基础的数据结构，一直延伸至新近的研究成果。

This course is presented in Mandarin.

FAQ

In what language will this course be offered?

Mandarin.

Will the text of the lectures be available?

Yes. All of our lectures will have transcripts synced to the videos.

Do I need to watch the lectures live?

No. You can watch the lectures at your leisure.

Will certificates be awarded?

Yes. Online learners who achieve a passing grade in a course can earn a certificate of  mastery. These certificates will indicate you have successfully completed the course, but will not include a specific grade. Certificates will be issued by edX under the name of DelftX, designating the institution from which the course originated.

Can I contact the Instructor or Teaching Assistants?

Yes, but not directly. The discussion forums are the appropriate venue for questions about the course. The instructors will monitor the discussion forums and try to respond to the most important questions; in many cases response from other students and peers will be adequate and faster.

Is this course related to a campus course at Tsinghua?

Yes. This course corresponds to the campus courses 00240074 (elective for undergraduates of all majors) and 30240184 (required for CS undergraduates), both named Data Structures.

What is the textbook of the course?

Junhui DENG, Data Structures in C++, Sep. 2013, 3rd edn., Tsinghua University Press, ISBN: 7-302-33064-6. (in Chinese)

What is the grading breakdown?

60% - 12 problem sets

40% - 4 programming assignments

Knowing how to code is only part of the skills needed to become a professional software developer.

This course, part of the CS Essentials for Software Development Professional Certificate program, will take your skills to the next level by teaching you how to write “good” software that appropriately represents and organizes data, is easy to maintain, and is of high quality.

As the purpose of most computer programs is to manipulate data, sometimes large quantities of it, the manner in which programs represent and organize data can have an enormous effect on the simplicity and efficiency of the code. In this course, you will learn about important core data structures such as arrays, lists, stacks, queues, sets, maps, trees, and graphs, and learn how to evaluate them and reason about their behavior and efficiency.

Most importantly, you will learn how to determine which data structure is the most appropriate for solving the problem at hand, and see how to use the implementations that are part of the Java library.

However, choosing the right data structure is only part of the challenge of developing high quality software: you must also consider the design of the classes that use those data structures. You will learn about software design principles such as modularity, functional independence, and abstraction, and apply those concepts toward writing programs that are easy to understand, easy to modify, and easy to test.

Although it is important to know how to write high quality code, professional software developers often spend a majority of their time maintaining existing code. You will also learn about software refactoring techniques for improving the design of existing code, and see how to improve code efficiency.

This course will use Java but the concepts you learn can be applied to almost all modern programming languages.

Tell your story and show it with data. In this data visualization course, you will learn how to design interactive charts and customized maps for your website.

We’ll begin with easy-to-learn tools, then gradually work our way up to editing open-source code templates with GitHub. Together, we’ll follow step-by-step tutorials with video screencasts, and share our work for feedback on the web. Real-world examples are drawn from Trinity College students working with community organizations in the City of Hartford, Connecticut.

This course is ideal for non-profit organizations, small business owners, local governments, journalists, academics, or anyone who wants to tell their story and show the data.

This introductory course in data visualization begins with the basics. No prior experience is required.

Capturing and analyzing data has changed how decisions are made and resources are allocated in businesses, journalism, government, and military and intelligence fields. Through better use of data, leaders are able to plan and enact strategies with greater clarity and confidence. Data drives increased organizational efficiency and a competitive advantage. Simply, analytics provide new insight and actionable intelligence.

In education, the use of data and analytics to improve learning is referred to as learning analytics. Analytics have not yet made the impact on education that they have made in other fields. That’s starting to change. Software companies, researchers, educators, and university leaders recognize the value of data in improving not only teaching and learning, but the entire education sector. In particular, learning analytics enables universities, schools, and corporate training departments to improve the quality of learning and overall competitiveness. Research communities such as the International Educational Data Mining Society (IEDMS) and the Society for Learning Analytics Research (SoLAR) are developing promising models for improving learner success through predictive analytics, machine learning, recommender systems (content and social), network analysis, tracking the development of concepts through social systems, discourse analysis, and intervention and support strategies. The era of data and analytics in learning is just beginning.

Data, Analytics, and Learning provides an introduction to learning analytics and how it is being deployed in various contexts in education, including to support automated intervention, to inform instructors, and to promote scientific discovery. Additionally, we will discuss tools and methods, what skills data scientists need in education, and how to protect student privacy and other rights. The course will provide a broad overview of the field, suitable for a broad audience. Learners will explore the logic of analytics, the basics of finding, cleaning, and using educational data, predictive models, text analysis, and activity graphs and social networks. We will discuss use of analytics in data domains such as log files and text data.  Tableau Software is partnering with University of Texas Arlington to provide analytics software to course participants as well as technical support and guest lectures. Additional software will be introduced and discussed throughout the course.

How this course works:

This course will experiment with multiple learning pathways. It has been structured to allow learners to take various pathways through learning content - either in the existing edX format or in a social competency-based and self-directed format. Learners will have access to pathways that support both beginners, and more advanced students, with pointers to additional advanced resources. In addition to interactions within the edX platform, learners will be encouraged to engage in distributed conversations on social media such as blogs and Twitter.

In today’s world, managerial decisions are increasingly based on data-driven models and analysis using statistical and optimization methods that have dramatically changed the way businesses operate in most domains including service operations, marketing, transportation, and finance.

The main objectives of this course are the following:

• Introduce fundamental techniques towards a principled approach for data-driven decision-making.
• Quantitative modeling of dynamic nature of decision problems using historical data, and
• Learn various approaches for decision-making in the face of uncertainty

Topics covered include probability, statistics, regression, stochastic modeling, and linear, nonlinear and discrete optimization.

Most of the topics will be presented in the context of practical business applications to illustrate its usefulness in practice. 

This course presents an example of how to apply a database application development methodology to a major real-world project.

All the database concepts, techniques and tools that are needed to develop a database application from scratch will be introduced along the way as you apply them to your own major class team project.

In addition to the development methodology, techniques and tools learned in this course will include the Extended Entity Relationship Model, the Relational Model, Relational algebra, calculus and SQL, database normalization, efficiency and indexing. Finally, techniques and tools for metadata management and archival will be presented.

En esta era de la información, los datos están disponibles en todos lados y crecen a una tasa exponencial. ¿Cómo podemos darle sentido a todos los datos? ¿Cómo aprovechamos los datos en el momento de tomar decisiones? ¿Cómo utilizamos los datos para que nos ayuden a guiar la gestión y planificación de nuestras políticas? Tanto si eres ciudadano como planificador de políticas, deberías poder responder a estas preguntas.

En este curso podrás fortalecer tus capacidades de uso, comprensión e interpretación de datos, utilizando la plataforma desarrollada por el BID “Números para el Desarrollo”, que presenta datos e indicadores socioeconómicos de la región de América Latina y el Caribe. A través de estas herramientas, podrás comprender cómo mejorar el proceso de toma de decisiones en la gestión pública.

Al finalizar el curso, contarás con instrumentos para navegar entre los datos, realizar e interpretar visualizaciones y comprender los diferentes tipos de análisis de datos según la política a implementar.

Tranquilo, no se trata de un curso de estadística, sino de adquirir los conocimientos necesarios para interpretar gráficas, reportes estadísticos y comprender su lenguaje. Y, lo más importante: adquirirás las bases para fundamentar tus decisiones en datos comprobables, más allá de tu intuición.

El curso está basado en ejemplos para que puedas ir comprendiendo los diferentes conceptos y metodologías de una manera sencilla, práctica y amena. Encontrarás diferentes actividades prácticas, en las que podrás aplicar los conocimientos adquiridos y practicar con datos y gráficas. Además, te mostraremos casos reales del BID para promover el análisis y presentar las realidades a las que están expuestos los expertos de la región. También te enfrentarás a algunos retos creativos, con los que podrás medir tus capacidades en un nivel de dificultad más elevado.

Finalmente, el curso tiene lecturas y videos que permiten generar una mejor compresión de temas del curso y participar con fundamento en los foros de discusión; en los que se abren espacios para la discusión con tus compañeros alrededor de los temas y retos planteados durante el curso.

Este MOOC ha sido certificado por Quality Matters (QM), organización sin ánimo de lucro reconocida como líder en el aseguramiento de la calidad de la educación en línea. QM ha desarrollado un conjunto de estándares de calidad para el diseño de cursos cuyo cumplimiento ha sido certificado en este MOOC a través de un riguroso proceso de revisión de pares expertos para garantizar la efectividad del aprendizaje.

La seguridad de los alimentos que ingerimos es uno de los principales objetivos de las políticas de la Unión Europea. Pero la realidad es que en las últimas décadas hemos sufrido crisis alimentarias muy importantes, tanto desde una perspectiva económica, con grandes pérdidas para productores y distribuidores, como sobre todo desde una perspectiva social, con un elevado número de fallecidos a lo largo de toda Europa. A través de este curso podrás conocer las respuestas adoptadas por la Unión Europea: la primacía del conocimiento científico sobre los criterios económicos; la colaboración de la industria alimentaria en la garantía de la seguridad; la adopción de procedimientos autorizatorios y de alerta ante situaciones de crisis; y la reparación de los daños generados por tales crisis.

Este curso se imparte en español, si bien alguno de los documentos de referencia pueden aparecer en ingles (aunque se incluirá una breve explicación en español). No se requiere conocimiento jurídico previo alguno.

La cocina mexicana es una de las mayores expresiones culturales de México. Es resultado del encuentro de dos mundos y de la suma de otras culturas. Su riqueza se da gracias a la enorme biodiversidad natural y cultural del país. En noviembre de 2010 fue declarada como Patrimonio Inmaterial de la Humanidad por la UNESCO.

Este curso, impartido por la Universidad del Claustro de Sor Juana, te proporcionará una visión amplia sobre los ingredientes básicos de la cocina mexicana. Conocerás sobre productos endémicos de México, la relevancia cultural e histórica de estos ingredientes y su importancia a nivel mundial; asimismo aprenderás algunas de las preparaciones más representativas de la cocina mexicana utilizando estos insumos. El curso consta con 6 módulos:

• Módulo 1. Introducción a la cocina mexicana
• Módulo 2. El maíz
• Módulo 3. El chile
• Módulo 4. El jitomate y el frijol
• Módulo 5. La vainilla y el amaranto
• Módulo 6. El cacao

The Alaska Oil Pipeline is one example of a massive public private partnership. Learn how project finance principles and concepts are used in this deal and others, as well as how the legal and operating environment and customer segments impact these partnerships.

In addition to the Alaska Oil Pipeline, we’ll review other major PPPs including Eurotunnel, San Roque Hydroelectric Dam, Euro Disneyland, Albania Cell Phone, and Emirates Aluminum. You’ll also learn about the lender checklist and go over a case study in the United States before wrapping up this course.

This course is part of the New York Institute of Finance’s popular Project Finance and the Public Private Partnerships Professional Certificate program.

In this course, we will review multiple case studies and transactions to recognize how to select the best deal for an investment.

We’ll look at the different players in a deal and understand what the risks are. 

This course is part of the New York Institute of Finance’s popular Project Finance and the Public Private Partnership Professional Certificate program.

This global health and life sciences course enables learners to investigate health problems affecting large populations – the whole world in fact! By understanding the big numbers in global mortality and their causes and distributions you will learn how to think numerically about global health. We will use real data from real people to ask the questions: What are the major causes of death in the world? Why do we need cause of death statistics? How does counting the dead help the living?
 
We begin with a historical perspective on global mortality and end with a hopeful look toward future trends. In between, you will learn about how death prior to old age can be avoided, worldwide mortality rates, and specific diseases such as HIV, malaria, childhood conditions, chronic diseases, and risk factors such as smoking. This course will help you use population statistics to understand how rapid gains in health are possible.

What causes a country’s debt to become unsustainable? How do we assess debt sustainability of public and external debt? How can countries manage their debt portfolio?

This online course aims to provide a comprehensive overview of debt sustainability analysis (DSA) and a medium-term debt management strategy framework adopted by the IMF and the World Bank.

Specifically, the course will: (i) introduce the main principles of debt sustainability; (ii) cover recently updated DSA frameworks — both for advanced and emerging markets and for low-income countries — with an emphasis on country data; (iii) present a medium-term debt management strategy (MTDS) framework; and (iv) illustrate debt sustainability analysis under uncertainty.

Whether you have a professional interest in debt sustainability or debt management or you are simply curious about these issues, we hope that you will join us in this in-depth study of one of the most critical and current issues in economic policy today!

Debt Sustainability Analysis is offered by the IMF with financial support from the Government of Belgium.

This history course delves into the medieval history of the city of Burgos, from its inception in 884 c.e. as the homeland of the Spanish Kingdom of Castile and Leon, until the completion of the Spanish Reconquista in 1492. We will study complicated legendary heroes like Rodrigo Diaz de Vivar, “The Cid”, both a champion of the Christian Reconquista and a friend of Islamic rulers, who lays buried in the Cathedral of Burgos. Like the Cid, medieval Burgos presented two competing views for Spain’s future – one centered on overt Castilian supremacy and another more nuanced one that incorporated religious minorities, especially Jews and Jewish converts to Christianity (conversos), into every element of political, economic, and even religious life.

This course will investigate the disastrous impact of the Plague and how it led to the death of King Alfonso XI and the ruinous civil war between the half-brothers, Pedro “The Cruel” and Enrique II of Trastamára. We will also appraise the collapse of the kingdom’s “Old Christian” nobility and the generation of new elite clans, some of whom hailed from Jewish ancestries. It was also the era of anti-Jewish pogroms, Christian fixations on “blood purity” and unsuccessful pleas for Christian harmony, and the last gasps of Jewish, Christian, and Muslim coexistence.

We will virtually-tour the Cathedral of Burgos, the Museum of Burgos, and what remains of the city’s medieval neighborhoods and structures. We will also study and transcribe intriguing vellum and paper manuscripts from the cathedral and municipal archives so that we discover new facets of this history.

No knowledge of Spanish is needed to participate in the course or in our transcription efforts.

This course evaluates the medieval history of Toledo from the reign of King Alfonso “The Wise” (1252-1284) until the creation of the blood purity statutes in the 1450s.

This local history will concentrate on the relations of Jews, Old Christians, and converts to Christianity (conversos). We will study King Alfonso X’s efforts to characterize himself as the “king of three religions” via his legal codices, the creation of the Cantigas de Santa María, and his intellectual endeavor known as the Toledo School of Translators.

We evaluate the robust Jewish and converso noble families of the city and appreciate their intellectual, religious, and economic contributions to Castilian life. We will bear witness to the rise of anti-Jewish blood purity statutes, the creation of the Inquisition, and the expulsion of the Jews. We will virtually-tour the Cathedral of Toledo, El Transito Synagogue, Santa Maria la Blanca Synagogue, and several of its neighborhoods.

We also will study and transcribe manuscripts from the municipal, cathedral, and national historic nobility archives to make new scholarly breakthroughs.

No knowledge of Spanish is needed to participate in the course or in our transcription efforts.

Comment les humains s’organisent-ils en sociétés ? Qu’appelle-t-on « familles » et comment se constituent-elles ? Quel regard et quels types d’analyse l’anthropologie propose-t-elle sur les systèmes de parenté, symboliques, politiques, religieux ?

L’anthropologie prospective nous aide à comprendre et à anticiper les phénomènes qui transforment nos modes de vie contemporains. Elle pose un regard transversal sur les actions, les pratiques et les dires des personnes avec lesquelles travaillent les chercheurs.

« Entrer en anthropologie », c’est accepter de changer son regard sur le monde et de se décentrer par rapport à ses habitudes. Si vous désirez comprendre un peu mieux le monde et ses changements contemporains, suivez ces chercheurs sur leur terrain et expérimentez d’autres repères culturels.

Durant ces quelques heures, vous serez amenés à débattre avec des professeurs et des étudiants autour de questions sur la famille, les migrations, les mondes virtuels ou encore les mondes des invisibles. Vous apprendrez les bases de l'approche anthropologique et ce qu'elle peut vous apporter en termes de réflexion sur votre propre société, sur votre vie et votre quotidienneté. Ce cours vous donne l’opportunité de comparer vos expériences et d’échanger vos points de vue avec des personnes d’autres horizons.

Les six semaines de cours aborderont une série de thématiques illustrées par des exemples concrets de modes d’existence divers et disséminés sur le globe. Des enseignants plongés au cœur des pratiques sociales et des enjeux politiques et économiques les plus variés partageront avec vous leur expérience après des années d'immersion sur les terrains de recherche qui les passionnent.

Si vous êtes curieux de tout et que comprendre votre propre société mais aussi des sociétés méconnues vous intéresse, ce cours s'adresse à vous !

How do human beings organize themselves in societies? What do we call “families” and how do they form? What type of analysis does anthropology propose about parenthood, and symbolic, political and religious systems?

Prospective anthropology helps us to understand and anticipate phenomena that transform our ways of life today. It gives a cross-cutting look at the actions, practices, and words of those people with whom anthropological researchers work.

To understand anthropology is to accept changing your view of the world, and to shift your perpsective of your own habits. If you want to understand the world and its contemporary changes more deeply, follow these researchers in their field, and experiment with other cultural references.

In this course, you will debate with professors and students about family, migrations, virtual worlds, and the world of « invisibles. » You will learn the basis of the anthropological approach and what it can bring you as a reflection tool about your own society and your everyday life. This course gives you the opportunity to compare your experiences and to exchange points of view with people from all around the world.

Professors immersed in the heart of various social practices, political and economic issues will share their experiences with you after years of research in fields that they are passionate about.

If you are curious about everything, and if you are interested in understanding your own society but also unknown societies, this course is for you!

Le politique nous concerne tous : chaque jour, des décisions publiques sont adoptées qui impactent notre quotidien. Dans quel contexte ces décisions sont-elles adoptées ? Au 21ème siècle, de nombreux paradoxes brouillent la vision que nous pouvons en avoir. Qu’est-ce que le pouvoir dans la société actuelle ? Quels acteurs en détiennent ? L’État demeure-t-il un acteur politique majeur s’il est concurrencé par des organisations internationales et régionales ? Comment la démocratie prônée par la communauté internationale se différencie-t-elle des régimes autoritaires voire totalitaires ? Quelle est la place des idéologies dans le monde actuel ? Le cours vise à comprendre et à expliquer des phénomènes politiques à partir d’une posture d’analyse critique.

Politics impact all of us: everyday political decisions impact many areas of our lives. In which context are these decisions made? In the 21st century, many paradoxes blur our vision of these decisions. What is power in a multi-level society? Does the state remain the main political actor, if it is in competition with international and regional organizations? Can democracy – pushed forward by the international community – coexist with authoritarian, or even totalitarian, regimes? What is the role of ideologies in contemporary politics? The course aims at understanding and explaining political phenomena from a critical standpoint. 

Vous allez découvrir les mécanismes à l’œuvre derrière les grandes décisions qui relèvent du marketing opérationnel :

• la conception d’un produit
• la fixation du prix auquel celui-ci sera vendu
• la sélection des canaux de distribution pour la vente
• le choix des moyens de communication par lesquels l’entreprise va informer ses clients.

Ces décisions s’appuient bien sûr sur des analyses mobilisant des concepts importants que nous vous présenterons. Tout au long du MOOC, vous aurez l’occasion d’appliquer la théorie à une étude de cas réel qui vous placera dans la peau d’un décideur marketing. Vous bénéficierez aussi d’interviews d’experts et d’échanges privilégiés et interactifs avec les professeurs lors de conférences en direct.

Tous les jours, consommez-vous des biens ou des services ? Ce MOOC vous permettra de saisir la logique du marketing et de devenir un consommateur plus responsable.

Etes-vous un praticien non encore averti en marketing ? Ce MOOC vous permettra de comprendre le pourquoi des décisions du marketing opérationnel et de les mettre en œuvre dans un cas concret.

Etes-vous étudiant et curieux ? Ce MOOC vous permettra de vous familiariser avec les pratiques du marketing, dans les secteurs marchands et non marchands.

Etes-vous un étudiant en gestion ? Ce MOOC vous offrira un complément aux cours de stratégie et de marketing stratégique. Il vous permettra d’opérationnaliser les décisions dans quatre composantes classiques à savoir le produit, la distribution, le prix et la communication (les « 4 P »).

Que vous soyez consommateur, praticien ou étudiant, ce MOOC vous offrira un regard éclairé sur l’éthique du marketing.

Avec le partenariat des éditions Dunod pour l'ouvrage Lambin, J.-J., & de Moerloose, C. (2012). Marketing stratégique et opérationnel. Du marketing à l'orientation-marché (8ème édition).

This class will provide you with an overview of the various dimensions of operational marketing (marketing decisions). These decisions concern product development, setting of a price for this product, selecting one or several distribution channels and finally communication tools in order to promote this product. Of course, these decisions rest on conceptual concepts that we will also present. You will have the opportunity to concretely apply course content through weekly case studies for which you will play the role of a manager. This MOOC provides content through videos, quiz, expert interviews, a forum, discussion (hangouts) and additional readings.

To consumers, this class will offer you an understanding of the logic behind marketing and it will enable you to become a more aware and responsible consumer.

To practitioners with no marketing background, this MOOC will enable you to understand the reasoning behind marketing decisions and to apply this reasoning in real situations.

To students with no business background, this MOOC will help you to become familiar with marketing practices both in commercial and non-profit marketing and to understand and analyze important operational decisions in marketing.

To business students, this MOOC will be complementary to strategy and marketing strategy classes. It will enable you to operationalize decisions using the 4 ‘P’s’: Price, Product, Place and Promotion.

To everybody involved in this MOOC, the ethical issues in Marketing will be highlighted.

Ce cours est enseigné en français. This course is taught in French.

Machine learning uses computers to run predictive models that learn from existing data to forecast future behaviors, outcomes, and trends. Deep learning is a sub-field of machine learning, where models inspired by how our brain works are expressed mathematically, and the parameters defining the mathematical models, which can be in the order of few thousands to 100+ million, are learned automatically from the data.

Deep learning is a key enabler of AI powered technologies being developed across the globe. In this deep learning course, you will learn an intuitive approach to building complex models that help machines solve real-world problems with human-like intelligence. The intuitive approaches will be translated into working code with practical problems and hands-on experience. You will learn how to build and derive insights from these models using Python Jupyter notebooks running on your local Windows or Linux machine, or on a virtual machine running on Azure. Alternatively, you can leverage the Microsoft Azure Notebooks platform for free.

This course provides the level of detail needed to enable engineers / data scientists / technology managers to develop an intuitive understanding of the key concepts behind this game changing technology. At the same time, you will learn simple yet powerful “motifs” that can be used with lego-like flexibility to build an end-to-end deep learning model. You will learn how to use the Microsoft Cognitive Toolkit — previously known as CNTK — to harness the intelligence within massive datasets through deep learning with uncompromised scaling, speed, and accuracy.