Inhalt: Demonstrate your fundamental understanding of Windows 10 by taking Microsoft Certification exam 70-697, Configuring Windows Devices. The 70-697 exam is a requirement for obtaining an MCSA: Windows 10 certification. This hands-on, practical course covers the skills necessary for a system admin to plan deployments in Windows 10-and prepare for the Plan Desktop and Device Deployment domain of Microsoft Certification exam 70-697. Brien Posey shows how to perform a migration from Windows 7 to Windows 10, enable and configure Hyper-V, configure mobility options, and work with power plans. Plus, he explains how to encrypt a drive using BitLocker. Review the learning objectives for the Plan Desktop and Device Deployment domain of exam 70-697 at https://www.microsoft.com/en-us/learning/exam-70-697.aspx. Umfang: 02:05:18.00
Inhalt: Understanding how to successfully carry out migration of existing workloads is a crucial step for cloud admins. Amazon Web Services (AWS) offers Server Migration Service for quickly migrating thousands of workloads to the cloud. In this course, instructor Brien Posey begins with an introduction to the benefits and limitations of AWS Server Migration Service and the basic requirements for both Linux and Windows virtual machine (VM) migrations. From there, he leads you through three hands-on demonstrations covering migration of VMware, Hyper-V, and Azure virtual machines. The course concludes with instructions for replicating VMware, Hyper-V, and Azure VMs and creating EC2 instances from the replicated VMs. Umfang: 01:26:21
Inhalt: Migrating to the cloud can be an exciting and overwhelming prospect for any organization. The success of your migration is enormously dependent upon how well thought out the strategy is. In this course, instructor Brien Posey takes a vendor-neutral look at the key design considerations that need to go into any migration strategy-whether you're migrating to Amazon Web Services, Microsoft Azure, Alibaba Cloud, or Google Cloud Platform. Learn how to identify your migration goals, estimate costs, and avoid common mistakes. Explore popular options such as rehosting, replatforming, and SaaS adoption. Plus, find out when it's appropriate to refactor or retire workloads and get tips for implementing your migration plan, complete with considerations for IT pros. Umfang: 01:54:11
Inhalt: Using multiple cloud providers has become the norm for organizations, as multicloud environments can improve security and operational efficiency while reducing costs. In this course, Microsoft MVP Brien Posey demonstrates how to enable communication between Amazon Web Services (AWS) and Microsoft Azure. He covers virtual private clouds, gateway servers, connectivity, and more. Find out how to install the Microsoft Routing and Remote Access Service (RRAS) on an Amazon EC2 virtual machine to communicate with Azure. Then, discover how to implement virtual and local network gateways in Azure to receive and send resources between AWS. Plus, learn how to connect an Azure virtual machine to a cloud-hosted Microsoft Active Directory. Umfang: 01:18:37.00
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: Microsoft 365 is a complete, intelligent solution, including Office 365, Windows 10, and Enterprise Mobility + Security. This course presents fundamental concepts for enterprise administrators around security, compliance, and user management of Microsoft 365. Instructor Brien Posey shows how to configure messaging, set up analytics, run reports, create users, and manage roles and passwords. Plus, learn how to set up multi-factor authentication (MFA) for an additional layer of verification. After completing this course, you'll have the skills you need to maintain the ongoing health and security of your Microsoft 365 deployment. Umfang: 01:25:39.00
Inhalt: Software updates are key to keeping the systems on your network current and secure. Learn how to plan and implement software updates in Windows 10. Microsoft MVP Brien Posey shows how to deploy and manage updates using three different services: Software Center Configuration Manager (SCCM), Windows Server Update Services (WSUS), and Intune. He covers topics such as creating update groups in Configuration Manager, approving and declining updates in Intune, deploying Microsoft and non-Microsoft updates in Intune, configuring automatic deployment rules, and analyzing log files to troubleshoot problematic updates. Umfang: 01:41:40.00
Inhalt: Microsoft 365 is a complete, intelligent solution, including Office 365, Windows 10, and Enterprise Mobility + Security. In this course, instructor Brien Posey steps through how to manage domains and directories in Microsoft 365 and Azure AD. Brien begins by showing how to add, configure, and remove a domain, as well as how to link an Office 365 user to a custom domain name. Then, he shows how to set up directory synchronization, configure multi-forest synchronization, and set up Active Directory Federation Services (AD FS), an authentication and authorization service that provides a single sign-on solution for Windows-based networks. To wrap up, he shows how to publish an application to Azure AD. This course can also prepare you for the Microsoft 365 Identity and Services (MS-100) exam. Umfang: 01:10:37.00
Inhalt: Application virtualization with App-V centralizes the configuration and deployment of Windows apps, while eliminating software conflicts. This hands-on course covers the skills necessary for a system admin to deploy and manage virtual apps in Windows 10. Microsoft MVP Brien Posey covers installing and configuring App-V, sequencing an application, editing and upgrading a virtual application, and deploying virtual applications. Plus, learn about deploying desktop and mobile apps via Intune. Umfang: 01:33:05.00
Inhalt: Take control of mobile. Learn how to use ActiveSync policies, System Center Configuration Manager (SCCM) profiles, and Intune to control the way your mobile users access email, Wi-Fi, VPN, apps, and data. This hands-on course covers the skills system administrators need to provision and manage mobile devices in Windows 10. Microsoft MVP Brien Posey shows how to connect mobile devices to Exchange Server and Exchange Online, provision user accounts for Intune, connect Intune with SCCM, configure Intune for mobile device management, and manage devices and conditional access in Intune. Umfang: 01:39:58.00
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: 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: 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: 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: 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: 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: All data science begins with good data. Data mining is a framework for collecting, searching, and filtering raw data in a systematic matter, ensuring you have clean data from the start. It also helps you parse large data sets, and get at the most meaningful, useful information. This course, Data Science Foundations: Data Mining, is designed to provide a solid point of entry to all the tools, techniques, and tactical thinking behind data mining. Barton Poulson covers data sources and types, the languages and software used in data mining (including R and Python), and specific task-based lessons that help you practice the most common data-mining techniques: text mining, data clustering, association analysis, and more. This course is an absolute necessity for those interested in joining the data science workforce, and for those who need to obtain more experience in data mining. Umfang: 04:40:50.00
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: 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: 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: Creating a well-crafted data visualization is a hands-on process. Challenge yourself with this series of real-world data visualization scenarios in Processing, an open-source drawing and development environment. Barton Poulson, author of the companion Interactive Data Visualization with Processing course, reinforces core concepts with mini-projects that help you practice drawing and interacting with data. A comprehensive challenge at the end of the course shows how to take data from a spreadsheet to a full-fledged online, interactive experience. Umfang: 01:41:29.00
Inhalt: Start communicating ideas and diagramming data in a more interactive way. In this course, author Barton Poulson shows how to read, map, and illustrate data with Processing, an open-source drawing and development environment. On top of a solid introduction to Processing itself, this course investigates methods for obtaining and preparing data, designing for data visualization, and building an interactive experience out of a design. When your visualization is complete, explore the options for sharing your work, whether uploading it to specialized websites, embedding the visualizations in your own web pages, or even creating a desktop or Android app for your work. Umfang: 07:43:24.00
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: 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: 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
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