Inhalt: Azure Arc enables you to project your on-premises and cloud resources, such as virtual or physical servers and Kubernetes clusters, into Azure Resource Manager. This extends Azure management to any infrastructure, enabling you to manage your resources as if they're running in Azure. In this course, instructor Brien Posey presents a first look at Azure Arc and, specifically, Azure Arc-enabled servers. Brien explains what Azure Arc is and why it can benefit your organization. He goes into various use cases for Azure Arc. Through hands-on demos, he covers how to connect to Azure Arc, how to work with policies, and how to monitor virtual machines (VMs). Umfang: 00:36:59
Inhalt: Are you interested in enhancing your understanding of how government and politics actually function? If so, this brief course can help by exploring the profound ways in which data science affects how our government and political process works. Data scientist and professor Barton Poulson provides a nontechnical overview of how data science functions in the public sector. He discusses how predictive analytics can be used to help you understand political representation; explores how data science affects matters of national security, privacy, and social justice; and more. Umfang: 01:02:15.00
Inhalt: Este curso de introdução proporciona uma visão abrangente da ciência de dados moderna: a prática da coleta, exploração, modelagem e interpretação de dados. Embora a maioria das pessoas só pense no "grande assunto", o Big Data, há muitas outras áreas e conceitos a investigar. Barton Poulson aborda disciplinas como programação, estatística, matemática, aprendizado de máquina, análise e visualização de dados e, é claro, Big Data. Ele explica por que existe tanta demanda por cientistas de dados atualmente e as competências necessárias para ter sucesso em diferentes tarefas. Barton mostra como obter dados de repositórios legítimos de código aberto por meio de Web APIs e scraping de páginas, além de apresentar tecnologias (R, Python e SQL) e técnicas (máquinas de vetores de suporte e florestas aleatórias) específicas para análise. Ao final do curso, você deve entender melhor o papel da ciência de dados na obtenção de conhecimentos expressivos a partir dos grandes e complexos conjuntos de dados ao nosso redor. Umfang: 03:01:15.00
Inhalt: O Big Data é uma grande novidade. Mas o que é Big Data e como podemos usá-lo? Simplificando, Big Data são dados que, em virtude de sua velocidade, volume ou variedade (os três vês), não podem ser facilmente armazenados ou analisados usando métodos tradicionais. As planilhas e bancos de dados relacionais não bastam para trabalhar com Big Data. Neste curso, Barton Poulson fala dos métodos que realmente funcionam, apresentando todas as técnicas e conceitos envolvidos na captura, armazenamento, manipulação e análise de Big Data, inclusive mineração de dados e análise preditiva. Ele explica a relação entre Big Data e ciência de dados, estatística e programação; seus usos em marketing, pesquisa científica e ferramentas como o mecanismo de recomendações da Amazon; e as questões éticas subjacentes à sua utilização. Umfang: 02:04:24.00
Inhalt: Get a first look at Julia, the powerful and fast programming language for data science and analytics. Julia is growing quickly in popularity and many data science practitioners are interested in learning more. This fast-paced course provides a general introduction to the language's functionality, power, and limitations. Discover how Julia compares to C, R, and Python and how to call those languages in, how to format data with the different data types, how to perform math and vectorized operations, how to create expressions and run macros, and more. You can decide whether to incorporate Julia into your data science workflow or follow the next steps to learn more. Umfang: 00:33:37.00
Inhalt: How does technology constantly gather data from the world of commerce around us? What can you derive from the data found in retail sales and consumer spending? This course explores the crucial ways in which businesses are affected by technology and how companies are harnessing ubiquitous data to improve business. Join Barton Poulson as he takes you through how data is being used to understand customers, recommend products to customers, gain new customers, drive customer loyalty, and more. Umfang: 01:10:16.00
Inhalt: Nowhere is data science more relevant than finance. Tracking the movement of money around the globe is one of the primary tasks for today's analysts. In this course, find out how algorithms, automation, big data applications, and machine learning are changing the nature of economics, banking, and finance. Data scientist and professor Barton Poulson provides a nontechnical overview of both the successful and problematic applications of data science to these fields. Learn how data science affects the way stocks are bought and sold, how loan applications are processed, and even how fraud is detected now that financial information is exchanged online at such a massive scale. Discover how social media influences economic trends, and why data scientists need to be especially careful to keep ethics in mind and false assumptions in check when dealing with financial data. Umfang: 01:20:36.00
Inhalt: Data Science treibt eine weltweite Revolution an, die alles beeinflusst, von der Automatisierung in Unternehmen bis zur sozialen Interaktion. Data Science ist auch eines der am schnellsten wachsenden und einträglichsten Berufsfelder, in dem auf aller Welt Analyst:innen und Techniker:innen beschäftigt werden. Dieser LinkedIn Learning-Kurs gibt einen verständlichen, nicht allzu technischen Überblick über dieses Gebiet. Er behandelt die Terminologie, Fähigkeiten, Berufe, Tools und Techniken rund um Data Science. Barton Poulson definiert die Beziehungen zu anderen datenlastigen Feldern, wie zum Beispiel Machine Learning und Künstliche Intelligenz. Er erklärt die Hauptaufgaben: Wie Sie Daten sammeln und analysieren, wie Sie Regeln für Klassifizierung und Entscheidungsfindung formulieren und wie Sie aus alledem Erkenntnisse gewinnen, die zu informiertem Handeln führen. Er geht auch auf die Themenbereiche Ethik und Verantwortung ein und gibt Tipps, wo Sie weiterlernen können. Am Ende des Kurses verstehen Sie, wie Ihnen Data Science helfen kann, bessere Entscheidungen zu treffen, tiefere Einblicke zu gewinnen und Ihre Arbeit wirkungsvoller und schneller zu tun. (Übersetzung des Kurses aus dem Englischen: Dorothea Heymann-Reder) Umfang: 03:26:38
Inhalt: A passion for sports can turn an ordinarily math-averse individual into an amateur statistician, ready to back up their pick for best clutch hitter with hard data. If your fascination with sports has piqued an interest in data and statistics, getting a general understanding of data science can help you gain striking insights into your favorite players and teams. In this brief course, data scientist and professor Barton Poulson explores the profound ways in which data science affects the world of sports and sports management, as well as the larger effect it has on audiences and associated industries. And while the topics he dives into can be complex, Barton takes a nontechnical approach in this course, ensuring that sports fans of many technical backgrounds can glean insights from his instruction. He covers how the principles of data science can help with the measurement of athletic performance, as well as ticket pricing, coaching players, and more. Umfang: 01:02:56.00
Inhalt: Music, theater, dance, and film may not seem like data-driven businesses, but they can benefit from data science just as much as ecommerce or finance. Join data science professor, researcher, and consultant Barton Poulson as he explores the fascinating ways in which the media and entertainment industries around us are affected-and have been substantially changed-by ubiquitous data and the science of data and analytics. This course is a nontechnical overview that helps creative organizations use the principles of data science in practical ways. It''s required viewing for those working in media, but is also appealing to anyone interested in how technology affects the world around us. Learn how to use data science to assess your target audience, optimize pricing and scheduling for events and digital products, identify piracy, protect your intellectual property, reward employees, and maximize your ROI. Incorporating some simple analytics can lead to broader audiences and richer experiences for your next creative endeavor. Umfang: 00:56:33.00
Inhalt: Der Big-Data-Hype mag zwar vor einigen Jahren seinen Höhepunkt erreicht haben, aber Big Data ist bei Weitem nicht verschwunden. Im Gegenteil, Big Data bildet die Grundlage einiger der spannendsten heutigen Technologien. Künstliche Intelligenz (KI), Maschinelles Lernen und Data Science hängen von Big Data ab - Daten, die wegen ihrer Menge, ihrer Geschwindigkeit und ihrer Vielfalt mit traditionellen Methoden nicht leicht zu speichern oder zu analysieren sind. In diesem anfängerfreundlichen Kurs führt Sie Barton Poulson in das Thema Big Data ein und erklärt Ihnen, wie Big Data funktioniert und unser modernes Datenuniversum prägt. Sie lernen Techniken zur Analyse von Big Data, wie z. B. Data Mining und Predictive Analytics kennen und erfahren, wie Big Data mit KI, Data Science, Social Media und dem Internet der Dinge (IoT) zusammenhängt. Außerdem behandelt Barton auch einige der ethischen Probleme im Zusammenhang mit der Nutzung von Big Data. (Übersetzung des Kurses aus dem Englischen: Dorothea Heymann-Reder) Umfang: 01:48:30
Inhalt: Data analysis isn't just for specialists who need to make sense of massive datasets. Decision-makers in every industry can benefit from a basic understanding of the goals and concepts of applied data analysis. In this course, join Barton Poulson as he focuses on the fundamentals of data fluency, or the ability to work with data to extract insights and determine your next steps. Barton shows how exploring data with graphs and describing data with statistics can help you reach your goals and make better decisions. Instead of focusing on particular tools, he concentrates on general procedures that can help you solve specific problems. Find out how to prepare data, explore it visually, and use statistical methods to describe it. Umfang: 04:19:09.00
Inhalt: Learn how to use data science to do good. Data science can be a huge help to nonprofits that are struggling to identify donors, understand their communities, evaluate their impact, and be more productive. In this course, instructor, data scientist, and entrepreneur Barton Poulson discusses how some of the common concerns of nonprofit service organizations can be addressed using new sources of data-including social media and web analytics-and how methods like predictive analytics, machine learning, and data visualization can make organizations more productive and efficient. He also covers career opportunities for data scientists who want to put their civic-minded ambitions to the best use. Umfang: 01:08:09.00
Inhalt: Toda ciência de dados começa com bons dados. A mineração de dados é uma abordagem para coleta, pesquisa e filtragem de dados brutos em situações sistemáticas, garantindo a obtenção de dados limpos desde o começo. Também auxilia na análise de grandes conjuntos de dados e na obtenção das informações mais úteis e relevantes. Este curso, Fundamentos da Ciência de Dados: Mineração de Dados, visa oferecer uma introdução sólida a todas as ferramentas, técnicas e raciocínio tático por trás da mineração de dados. Barton Poulson aborda fontes e tipos de dados, as linguagens e os programas usados na mineração de dados (incluindo R e Python) e lições específicas baseadas em tarefas que ajudam a praticar as técnicas mais comuns de mineração de dados: mineração de textos, agrupamento de dados, análise de associação e muito mais. Este curso é fundamental para os interessados em ingressar na força de trabalho de ciência de dados e para quem precisa adquirir mais experiência em mineração de dados. Umfang: 04:29:50
Inhalt: Ce cours donne une vue d'ensemble de la data science moderne, également appelée science des données en français, et qui est la pratique consistant à collecter, explorer, modéliser et interpréter des données. Si le big data monopolise toutes les attentions, il existe bien d'autres domaines et concepts intéressants. Barton Poulson évoque ici des branches telles que la programmation, les statistiques, les mathématiques, le machine learning, les analyses de données, la visualisation et (oui) le big data. Il explique pourquoi les data scientists sont si demandés et décrit les compétences requises pour réussir dans les différents métiers. Il montre aussi comment collecter des données à partir de référentiels open source via des API web ou via le scraping, et présente certaines technologies (R, Python et SQL) ainsi que certaines techniques (machines à vecteurs supports et forêts aléatoires) d'analyse. À l'issue de cette formation, vous devriez mieux comprendre l'utilité de la data science pour obtenir des informations exploitables à partir des jeux de données complexes qui vous entourent. Umfang: 02:41:40.00
Inhalt: Descubre la ciencia del big data. Conoce cómo se relaciona con campos como la ciencia de datos, la estadística y la programación; y cómo está revolucionando una amplia variedad de sectores, como el consumo, la investigación e, incluso, el ámbito empresarial. Aprende lo que son los macrodatos o los datos masivos, las tres V del big data: volumen, velocidad y variedad, los datos no estructurados o semiestructurados y la importancia de la privacidad de dichos datos en cada uno de estos puntos. Umfang: 02:21:27.00
Inhalt: Dieses Training führt Sie in das Thema Data Science ein, also die Beschaffung, Durchdringung, Modellierung und Interpretation von Daten. Barton Poulson erläutert für Data Science wichtige Disziplinen wie Programmierung, Statistik, Mathematik, Machine Learning, Datenanalyse, Virtualisierung und Big Data. Er erklärt, warum die Nachfrage nach Data Science-Spezialisten so hoch ist und welche Fähigkeiten in diesem Bereich am wichtigsten sind. Er zeigt Ihnen, wie Daten erhoben werden können und führt Sie in häufig für Data Science verwendete Sprachen wie R, Python und SQL ein. Am Ende des Trainings werden Sie den Stellenwert und die Möglichkeiten von Data Science bei der Erzeugung von Wissen aus den komplexen und großen Datenmengen, die uns heutzutage umgeben, verstehen. Umfang: 03:03:30.00
Inhalt: El curso Fundamentos de data science nos da una visión general de la ciencia de datos moderna: la práctica de obtener, explorar, dar forma e interpretar los datos. Aunque muchos creen que la ciencia de datos solo se relaciona con big data, existen muchos más campos y conceptos que explorar. Barto Poulson nos explica disciplinas como la programación, la estadística, las matemáticas, el aprendizaje automático, el análisis de datos, la visualización y (sí), big data. Además, nos revela por qué los científicos de datos tienen tanta demanda, y qué habilidades se requieren para tener éxito en varias tareas relacionadas con este campo. También nos muestra cómo obtener datos a partir de bases de datos de libre acceso, mediante API y la técnica de extracción de datos, y nos introduce a tecnologías (R, Python y SQL) y técnicas (máquinas de vectores de soporte y bosques aleatorios) específicas para el análisis. Al acabar el curso, entenderás mejor la función de la ciencia de datos a la hora de aportar información significativa sobre los conjuntos de datos complejos y amplios que tenemos a nuestro alrededor. Umfang: 03:19:58.00
Inhalt: Artificial intelligence (AI) offers businesses the potential for a dramatic increase in functionality and profitability, but it can also spark an array of complex ethical, legal, and social challenges. In this nontechnical, conceptually oriented course, Barton Poulson digs into the hazards of AI, offering potential solutions to key concerns. Barton explores the ethical issues posed by AI, including competing concepts of fairness and moral reasoning. He also goes over social concerns and safety challenges for AI, such as potential life-and-death scenarios in autonomous driving. Barton concludes with recommendations tailored to developers, executives, PR professionals, regulators, and consumers to help them reap the potential of AI in a manner that''s worthy of trust and profitable to all. Umfang: 02:21:49.00
Inhalt: Cada dia mais empresas se apoiam em dados para tomar decisões e melhorar os seus produtos. R é uma linguagem de programação gratuita, de código aberto, voltada para ciência de dados e está entre as ferramentas mais utilizadas para análise e manipulação de dados por profissionais da área. Aprenda o básico de R e inicie a sua jornada no mundo dos dados, com a instrutora e especialista em ciência de dados Jessica Temporal. As aulas vão te ensinar os primeiros passos com R, incluindo como instalar a linguagem e a ferramenta RStudio, assim como utilizar diversos pacotes da vasta biblioteca de pacotes disponível. Você vai ver em primeira mão como fazer modelagem de dados, visualizações e análises estatísticas. Após terminar o curso, você vai ter um conhecimento básico, mas completo do poder e da flexibilidade de R, e entender como aproveitar essa ferramenta para explorar e analisar uma variedade de dados. Umfang: 01:28:48
Inhalt: SPSS Statistics is a statistics and data analysis program for businesses, governments, research institutes, and academic organizations. In this course, Barton Poulson takes a practical, visual, and non-mathematical approach to SPSS Statistics, explaining how to use the popular program to analyze data in ways that are difficult or impossible in spreadsheets, but which don''t require you to master programming languages like Python or R. From importing spreadsheets, to making data visualizations, to calculating descriptive statistics, Barton covers all the basics, with an emphasis on clarity, interpretation, communicability, and application. This course is ideal for first-time researchers and those who want to make the most of data in their professional and academic work. Umfang: 05:49:50.00
Inhalt: Big Data ist in aller Munde. Aber was genau ist darunter zu verstehen? Einfach ausgedrückt sind Daten dann Big Data, wenn Sie wegen Ihrer Menge, der Geschwindigkeit, in der sie entstehen oder ihrer Vielfalt kaum mit herkömmlichen Methoden und Tools gespeichert oder analysiert werden können. In diesem Training erklärt Ihnen Barton Poulsen Methoden, die für Big Data funktionieren und führt Sie in all die Techniken und Konzepte ein, die es erlauben Big Data zu erfassen, zu speichern, zu manipulieren und zu analysieren. Er erklärt ebenso die Beziehung von Big Data zu Fachgebieten wie Statistik, Programmierung und Data Science, wie auch die Verwendung von Big Data z.B. in der Forschung oder Marketing und ethische Problemstellungen, die bei der Nutzung auftreten können. Umfang: 01:57:51.00
Inhalt: jamovi is a free, open-source data analysis application that bridges the gap between the freedom and power of R and the accessibility of SPSS. In this course, learn how to do data analysis that's both fast and friendly with jamovi. Instructor Barton Poulson demonstrates how to install jamovi and third-party modules, import and wrangle data, create visualizations based on ggplot2, and analyze data using advanced methods. Plus, see how to share your work with unified files and collaborate with the Open Science Framework (OSF). Umfang: 04:41:08.00
Inhalt: Data science is driving a world-wide revolution that touches everything from business automation to social interaction. It's also one of the fastest growing, most rewarding careers, employing analysts and engineers around the globe. This course provides an accessible, nontechnical overview of the field, covering the vocabulary, skills, jobs, tools, and techniques of data science. Instructor Barton Poulson defines the relationships to other data-saturated fields such as machine learning and artificial intelligence. He reviews the primary practices: gathering and analyzing data, formulating rules for classification and decision-making, and drawing actionable insights. He also discusses ethics and accountability and provides direction to learn more. By the end, you'll see how data science can help you make better decisions, gain deeper insights, and make your work more effective and efficient. Umfang: 03:41:57.00
Inhalt: Data science continues to grow in sophistication and demand at an exponential rate. Data mining is the area of data science that focuses on finding actionable patterns in large and diverse datasets: clusters of similar customers, trends over time that can only be spotted after disentangling seasonal and random effects, and new methods for predicting important outcomes. Instructor Barton Poulson focuses on data mining in R, presents a broad range of algorithms including machine learning methods, and offers important information on laws and policies that affect data mining. Barton gives an overview of dimensionality reduction. He introduces clustering, including hierarchical clustering, then goes into association analysis. He explains time-series mining and decomposition, then concludes with text mining, sentiment analysis, and sentiment scoring. Umfang: 03:51:30
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