IBM Courses

Hybrid Cloud Explained

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Hybrid Cloud is a computing environment that connects a company’s on-premises private cloud services and third-party public cloud into a single, flexible infrastructure for running the organization’s applications and workloads. In this course, you will learn about hybrid cloud, hybrid cloud architecture, and application modernization.

Análise de dados com Python

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Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeSaiba como analisar dados usando Python. Este curso abrange desde o básico do Python até a exploração de diferentes tipos de dados. Você aprenderá como preparar dados para análise, executar análises estatísticas simples, criar visualizações de dados significativas, prever tendências futuras a partir de dados, e muito mais!Tópicos abordados:1) Importação de conjuntos de dados2) Limpeza dos dados3) Manipulação de estrutura de dados4) Resumo dos dados5) Construção de modelos de regressão de aprendizado de máquina6) Construção de dados pipelineA análise de dados com Python será realizada por meio de palestras, laboratórios e tarefas. Ele inclui as seguintes partes:Bibliotecas de análise de dados:aprenderá a usar bibliotecas Pandas, Numpy e Scipy para trabalhar com uma amostra de conjunto de dados. Apresentaremos o pandas, uma biblioteca de código aberto, e a usaremos para carregar, manipular, analisar e visualizar conjuntos de dados. Em seguida, apresentaremos outra biblioteca de código aberto, a scikit-Learn, e usaremos alguns de seus algoritmos de aprendizado de máquina para criar modelos inteligentes e fazer previsões interessantes. Se você optar por fazer este curso e receber o certificado do curso Coursera, você também ganhará um selo digital da IBM. OFERTA LIMITADA: a assinatura custa apenas US$ 39,00 por mês para acesso a materiais classificados e a um certificado.

IBM Z App Modernization

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During this learning journey, you will be learning how to apply modernization in your Hybrid Cloud environment including IBM Z. We will look at lifecycle enablement by using DevOps, how to create an application centric environment, Establishing Data Centric Integration and utilize events to drive responses. By using digital content, use cases and hands-on exercises we provide theability to look and learn what it takes to achieve and implement modernization in the best way possible.

NoSQL Database Basics

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This course will provide you with technical hands-on knowledge of NoSQL databases and Database-as-a-Service (DaaS) offerings. With the advent of Big Data and agile development methodologies, NoSQL databases have gained a lot of relevance in the database landscape. Their main advantage is the ability to effectively handle scalability and flexibility issues raised by modern applications.You will start by learning the history and the basics of NoSQL databases and discover their key characteristics and benefits. You will learn about the four categories of NoSQL databases and how they differ from each other.You will explore the architecture and features of several different implementations of NoSQL databases, namely MongoDB, Cassandra, and IBM Cloudant.Throughout the course you will get practical experience using these NoSQL databases to perform standard database management tasks, such as creating and replicating databases, loading and querying data, modifying database permissions, indexing and aggregating data, and sharding (or partitioning) data.The course ends with a hands-on project to test your understanding of some of the basics of working with several NoSQL database offerings.

Building AI Applications with Watson APIs

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Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeA learner will be able to write an application that leverages multiple Watson AI services (Discovery, Speech to Text, Assistant, and Text to Speech). By the end of the course, they’ll learn best practices of combining Watson services, and how they can build interactive information retrieval systems with Discovery + Assistant.

Analizando datos con Python

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Por favor ten en cuenta: Los estudiantes que completen con éxito este curso de IBM ahora pueden obtener una insignia digital de habilidades: una credencial detallada, verificable y digital que comprueba los conocimientos y habilidades que has adquirido en este curso. Inscríbete para obtener más información, completa el curso y reclama tu insignia digital.APRENDE A ANALIZAR DATOS CON PYTHONAprende a analizar datos usando Python en este curso introductorio. Pasarás de comprender los conceptos básicos de Python a explorar muchos tipos diferentes de datos a través de clases, laboratorios prácticos y tareas. ¡Aprenderás cómo preparar datos para el análisis, realizar análisis estadísticos simples, crear visualizaciones de datos significativas, predecir tendencias futuras a partir de datos y más!Ten en cuenta que los foros de discusión de este curso están abiertos para que los estudiantes publiquen y se comuniquen entre sí. Sin embargo, los foros ya no serán supervisados por el equipo de IBM. Las preguntas técnicas relacionadas con tu experiencia en el curso deben dirigirse al equipo de soporte de edX a través de la información de contacto proporcionada en el curso. Gracias.

Aplicaciones de IA con Watson

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Por favor ten en cuenta: Los estudiantes que completen con éxito este curso de IBM ahora pueden obtener una insignia digital de habilidades: una credencial detallada, verificable y digital que comprueba los conocimientos y habilidades que has adquirido en este curso. Inscríbete para obtener más información, completa el curso y reclama tu insignia digital.Al inscribirse en este curso en línea, es probable que hayas estudiado inteligencia artificial, construido chatbots y tal vez incluso hayas utilizado Watson Assistant en el camino. Pero, ¿sabías que puedes acelerar el coeficiente intelectual de tu chatbot con IBM Watson Discovery, un servicio diseñado para revelar el valor oculto en los datos? Discovery se especializa en tomar los datos, estructurados o no, y extraer de ellos respuestas y patrones.Por ejemplo, si tienes un repositorio grande, cuyo contenido podría responder a preguntas de clientes , tienes los ingredientes de un gran chatbot de preguntas frecuentes.En este curso, aprenderás cómo crear consultas en Discovery, que te permite mostrar respuestas y patrones a partir de grandes depósitos de datos. A continuación, aprenderás a usar Discovery para extraer información de un conjunto de reseñas de hoteles. Luego, para que esos datos cobren vida, se integrará Discovery con otros servicios de Watson para crear un chatbot que pueda informar sobre los mejores hoteles en una determinada ciudad de EE. UU. Al utilizar estos servicios de Watson, agregas más capas de análisis para ayudar a encontrar el mejor hotel.AssistantDiscoveryTone AnalyzerPersonal InsightsAl final de este curso, habrás construido un chatbot con IA completamente funcional.Además, deberías poder aplicar los servicios enseñados aquí a tus propios conjuntos de datos, lo que te permitirá crear sofisticados chatbots propios.Ten en cuenta que los foros de discusión de este curso están abiertos para que los estudiantes publiquen y se comuniquen entre sí. Sin embargo, los foros ya no serán supervisados por el equipo de IBM. Las preguntas técnicas relacionadas con tu experiencia en el curso deben dirigirse al equipo de soporte de edX a través de la información de contacto proporcionada en el curso. Gracias.

Introduction to Cloud Development with HTML, CSS, JavaScript

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Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeWant to take the first steps to become a Cloud Application Developer? This course will lead you through the languages and tools you will need to develop your own Cloud Apps.Beginning with an explanation of how internet servers and clients work together to deliver applications to users, this course then takes you through the context for application development in the Cloud, introducing front-end, back-end, and full-stack development.You’ll then focus on the languages you need for front-end development, working with HTML, CSS, and JavaScript.Finally, you will discover tools that help you to store your projects and keep track of changes made to project files, such as Git and GitHub.Introduction to Programming for the CloudLearn what Cloud Application development involves from the very beginning. Discover the languages, frameworks, and tools, that enable you to create interactive and engaging websites and Cloud Applications, right from the very beginning. In this module, you will learn about the roles of front-end, back-end, and full-stack developers and how they work together on development projects and become familiar with the terminology and skills you will need in your career as a Cloud App developer. It is recommended that learners practice outside of the course to become proficient. The labs are intended as an introduction to the basics. HTML5 and CSS OverviewThe most fundamental tools for front-end developers are the languages they use for developing the website or app. Foremost among these is HyperText Markup Language (HTML). A good understanding of HTML, its features, support, and scripting capabilities, makes a solid foundation on which to build your development skills. Once you have mastered creating the basic structure of a website with HTML, you can add style with Cascading Style Sheets (CSS), which enables you to make your websites more attractive by adding a consistent style and design throughout.HTML5 ElementsHTML5 has many elements that enable developers to create well-structured and varied websites. These HTML5 elements provide ways to separate an HTML document into divisions, create headers and footers, define sections, create headings, and delineate the body of the document. In addition, there are many HTML5 elements that allow the user to interact with the website, inputting information in various formats like dates, times, numbers, email addresses, and much more besides.To be able to create the structure you want for your site, you must be familiar with some of these elements. JavaScript Programming for Web ApplicationsSo now you have a website or Cloud App with structure and content from HTML, consistent style from CSS, and a limited amount of interactivity for the user.To enhance the user experience and create a real wow factor, you’re going to need JavaScript. With JavaScript, you can make your webpages dynamic, using features like interactive forms,picture slideshows, and sophisticated menu systems.GitHubWeb and Cloud App developers rarely work alone. Large projects will include many people – front-end developers, back-end developers, database administrators, and repository administrators. Every change by every contributor must be tracked and controlled to enable the changes to be merged seamlessly, to allow for potential rollbacks, and for accountability. This type of distributed version control is extremely important when managing large software projects. Git, GitHub, and Git Lab are some of the most widely used tools for collaboration, storage, and version control.Final ProjectNow that you have been equipped with the skills to use HTML, CSS, and JavaScript, you will have the opportunity to practice and create a web application. In this scenario, you are a web developer for an NGO. Everyone Can Get Rich is a non-governmental charity organization. This NGO works to improve the financial literacy of the common people. They have hired a developer to create an online application. This app titled Simple Interest Calculator, will compute the interest one can earn given the amount you wish to save, the number of years you can keep it with the bank and the interest rate the bank would pay you. The NGO is very particular about the way the app looks including the colors and the alignment of the form elements.

Architecting Applications for IBM Z and Cloud

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Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeThis course focuses on the architect persona to help learners understand how to apply IBM Z modernization in designs. This helps to integrate various technologies, platforms and applications across the enterprise in a seamless and transparent manner.We will look at lifecycle enablement by using DevOps, creating an Application Centric environment, establishing Data Centric Integration, and utilizing events to drive responses.By using digital content, use cases, and hands-on exercises, we provide the ability to look and learn what it takes to achieve and implement modernization in the best way possible.As a pre-requisite, learners must complete the course Application Modernization for Enterprise Systems on Coursera.

Introduction to Cybersecurity Tools & Cyber Attacks

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Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeThis course gives you the background needed to understand basic Cybersecurity.You will learn the history of Cybersecurity, types and motives of cyber attacks to further your knowledge of current threats to organizations and individuals.Key terminology, basic system concepts and tools will be examined as an introduction to the Cybersecurity field.You will learn about critical thinking and its importance to anyone looking to pursue a career in Cybersecurity.Finally, you will begin to learn about organizations and resources to further research cybersecurity issues in the Modern era.This course is intended for anyone who wants to gain a basic understanding of Cybersecurity or as the first course in a series of courses to acquire the skills to work in the Cybersecurity field as a Jr Cybersecurity Analyst.The completion of this course also makes you eligible to earn the Introduction to Cybersecurity Tools & Cyber Attacks IBM digital badge.More information about the badge can be found https://www.youracclaim.com/org/ibm/badge/introduction-to-cybersecurity-tools-cyber-attacks

Analista de Datos de IBM

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Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeObtén las habilidades necesarias para un puesto de analista de datos de nivel inicial mediante este Certificado Profesional de IBM, que consta de ocho cursos, y consigue una posición competitiva en el próspero mercado laboral de los analistas de datos, que experimentará un crecimiento del 20% hasta 2028 (Oficina de Estadísticas Laborales de EE.UU.)Impulsa tu carrera como analista de datos aprendiendo los principios fundamentales de la analítica de datos y adquiriendo conocimientos prácticos. Trabajarás con diversas fuentes de datos, escenarios de proyectos y herramientas de análisis de datos, incluyendo Excel, SQL, Python, Jupyter Notebooks y Cognos Analytics.Este Certificado Profesional no requiere ningún conocimiento previo de programación o estadística, y es adecuado para estudiantes con o sin títulos universitarios. Todo lo que necesitas para empezar es un conocimiento básico de informática, matemáticas de secundaria, sentirte cómodo trabajando con números, voluntad de aprender y el deseo de enriquecer tu perfil con valiosas habilidades.Una vez completado con éxito este programa, habrás analizado conjuntos de datos del mundo real, creado cuadros de mando interactivos y presentado informes para compartir tus hallazgos, proporcionándote confianza y un portafolio para comenzar una carrera como analista de datos asociado o junior. También sentarás las bases para otras disciplinas de datos, como la ciencia de los datos o la ingeniería de datos.

Penetration Testing, Incident Response and Forensics

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Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeThis course gives you the background needed to gain Cybersecurity skills as part of the Cybersecurity Security Analyst Professional Certificate program. You will learn about the different phases of penetration testing, how to gather data for your penetration test and popular penetration testing tools.Furthermore, you will learn the phases of an incident response, important documentation to collect, and the components of an incident response policy and team.Finally, you will learn key steps in the forensic process and important data to collect.This course also gives you a first look at scripting and the importance to a system analyst.This course is intended for anyone who wants to gain a basic understanding of Cybersecurity or as the fifth course in a series of courses to acquire the skills to work in the Cybersecurity field as a Cybersecurity Analyst.The completion of this course also makes you eligible to earn the Penetration Testing, Incident Response and Forensics IBM digital badge.More information about the badge can be found https://www.youracclaim.com/org/ibm/badge/penetration-testing-incident-response-and-forensics.In this course you will learn to:•Describe penetration testing tools and the benefits to an organization•Describe a deep dive into incident response techniques and tools•Describe digital forensics and digital evidence.•Discuss the power of scripting.

IBM Cloud Private: Deploying Microservices with Kubernetes

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Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeIMPORTANT UPDATE: We are reaching out to let you know that the IBM Microservices Specialization will be removed from Coursera on January 13, 2020. If you are interested in earning a Specialization Certificate, you will need to complete all 4 courses of the Specialization by January 12, 2020.Separately, if you are interested in earning Course Certificate for this course, please upgrade or apply for Financial Aid by January 12, 2020, if you have not already done so. If you are a Coursera for Business learner, you can continue to use your sponsored credit. In order to earn a Course Certificate, you will need to complete all graded assignments by April 12, 2020. After that point, no new assignment submissions will be accepted for Certificate credit.Cloud computing is evolving at a fast pace, and if you want to succeed in IT, you have to keep up. What was considered “cutting edge” a few months ago, might be old news by now. We want to provide only the best possible experience with the latest technology to our learners, and that is why we believe it is necessary to retire this Specialization, and recommend other resources for you to continue your learning. We appreciate you taking the time to learn with us, and hope that will continue. Here are some resources for further study:Everything you need to know about Microservices architecture: https://www.ibm.com/cloud/learn/microservicesAn introduction to Containers: https://www.ibm.com/cloud/learn/containersGetting started with Kubernetes: https://www.ibm.com/services/cloud/what-is-kubernetesAn essential guide to Cloud Native applications: https://www.ibm.com/cloud/learn/cloud-nativeAn essential guide to DevOps: https://www.ibm.com/cloud/learn/devops-a-complete-guideFor more courses, go to the IBM Skills Gateway: https://www.ibm.com/services/learning/ites.wss/zz-enWhile we hope that you will be able to complete the course, you can find more information about requesting a refund (https://learner.coursera.help/hc/en-us/articles/209819043-Request-a-refund) or unenrolling from a course (https://learner.coursera.help/hc/en-us/articles/208279756-Unenroll-from-a-course) in our Learner Help Center.Happy Learning,The IBM team

Z/OS REXX Programming

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This course is designed to teach you the basic skills required to write programs using the REXX language in z/OS. The course covers the TSO extensions to REXX and interaction with other environments such as the MVS console, running REXX in batch jobs, and compiling REXX.

IBM AI Engineering

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Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeArtificial intelligence (AI) is revolutionizing entire industries, changing the way companies across sectors leverage data to make decisions. To stay competitive, organizations need qualified AI engineers who use cutting-edge methods like machine learning algorithms and deep learning neural networks to provide data driven actionable intelligence for their businesses. This 6-course Professional Certificate is designed to equip you with the tools you need to succeed in your career as an AI or ML engineer. You’ll master fundamental concepts of machine learning and deep learning, including supervised and unsupervised learning, using programming languages like Python. You’ll apply popular machine learning and deep learning libraries such as SciPy, ScikitLearn, Keras, PyTorch, and Tensorflow to industry problems involving object recognition, computer vision, image and video processing, text analytics, natural language processing (NLP), recommender systems, and other types of classifiers. Through hands-on projects, you’ll gain essential data science skills scaling machine learning algorithms on big data using Apache Spark. You’ll build, train, and deploy different types of deep architectures, including convolutional neural networks, recurrent networks, and autoencoders. In addition to earning a Professional Certificate from Coursera, you will also receive a digital badge from IBM recognizing your proficiency in AI engineering.