The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
Johns Hopkins University
Understanding Prostate Cancer
Welcome to Understanding Prostate Cancer. My name is Ken Pienta, Professor of Urology and Oncology at the Johns Hopkins School of Medicine. I have been studying prostate cancer and treating patients with prostate cancer for over 25 years. Over 1,000,000 men worldwide and 230,000 men in the United States are diagnosed with prostate cancer every year. Three hundred thousand men worldwide and 30,000 men in the US are dying from prostate cancer every year. As people live longer, the incidence of prostate cancer is rising worldwide and prostate cancer continues to be a major health problem. Thanks to years of dedication and commitment to research we’ve made enormous advances in the treatment of prostate cancer, But there is still a lot of work to be done. In this Understanding Prostate Cancer course, I will provide an introduction to the biology of prostate cancer as well as how it is identified and treated at various stages of the disease. I've put together this course in order to introduce you to the essentials of prostate cancer. By the time you finish this course you'll be able to Define risk factors for prostate cancer Understand current prostate cancer screening guidelines Understand prostate cancer staging Understand treatments for localized prostate cancer Understand treatments for advanced prostate cancer Understand treatments to alleviate the symptoms caused by prostate cancer This Understanding Prostate Cancer Course should be helpful to anyone who wants to develop a deeper understanding of prostate cancer biology and treatment. It should be useful to students who are interested in a deeper understanding of the science of cancer. It should also be helpful to health care providers, data managers, and educators who wish to develop a better understanding of prostate cancer and how it affects individuals. The course is not designed for patients seeking treatment guidance. For those of you who might be thinking about a career in cancer research or patient care, I hope this course will inspire you to pursue that path! The course is divided into five modules organized to facilitate learning. I'm glad that you decided to join this course. I hope that you will develop a basic understanding of prostate cancer. I hope that it will help you in whatever field you work. If you are a student, I hope that what you learn here will help you begin a career in cancer biology research and contribute to the worldwide effort to save lives.
Google Cloud
Secure Devices and Users on ChromeOS
This is a self-paced lab that takes place in the Google Cloud console. In this lab, you create an OU and learn how to configure security settings.
Universidades Anáhuac
Ciencia de Datos Aplicada al Marketing
Históricamente, las matemáticas nacieron por primera vez, debido a la necesidad de entender nuestro entorno y tomar decisiones. En particular, la ciencia de datos (data science), se enfoca en el procesamiento de datos: analizar, explorar e interpretar conjuntos de datos, y con base en ello, tener un panorama completo del presente. Al escuchar sobre la ciencia de los datos, se podría pensar que es un tema únicamente relacionado con los científicos de datos y el big data, dirigido a personas que hablan lenguajes de programación como python o que concierne solo a empresas de base tecnológica e inteligencia artificial como IBM o Amazon. Sin embargo, cada vez más, es necesario hacer uso de la inteligencia de negocios y por medio de la minería de datos obtener resultados para una mejor toma de decisiones sin importar el giro de la empresa. Considerando que la mercadotecnia tiene entre sus objetivos la identificación de necesidades y preferencias de los consumidores para satisfacer sus necesidades, aprender a realizar encuestas que reúnan datos y conocer las herramientas de análisis de datos idóneas para grandes cantidades de datos, se convierte imprescindible para el crecimiento de toda empresa o negocio. Sin necesidad de ser un experto en data science o programador, actualmente existen una serie de técnicas estadísticas que pueden ser utilizadas por un marketer, como excel y spss, y estas le permitirán realizar data mining o extracción de datos, para identificar las variables importantes de un producto, clasificar a los consumidores, organizar sus gustos y en general, tomar decisiones precisas con una base matemática a problemas complejos. Este curso se encuentra enfocado en su totalidad al estudio de mercado, desde los ejemplos hasta las técnicas de análisis estadístico seleccionadas, tanto para pequeños como grandes volúmenes. Utilizando softwares estadísticos para realizar el proceso matemático en las bases de datos y la visualización de datos, permitiendo un enfoque interpretativo de los resultados para la toma de decisiones. Utiliza el business intelligence a tu favor y adquiere las herramientas necesarias para llevar el marketing de tu empresa o negocio al siguiente nivel y realizar una toma de decisiones acertada.
Universidad de Palermo
Inteligencia Artificial Aplicada al Derecho
El mooc de IA aplicada al Derecho está diseñado para proporcionar a profesionales, estudiantes y operadores del derecho un entendimiento básico sobre cómo utilizar modelos de lenguaje para optimizar la eficiencia y precisión en tareas jurídicas clave. Este curso combina teoría y práctica para enseñar cómo formular prompts adecuados que mejoren la eficiencia en actividades como el análisis de casos, la redacción de contratos, escritos judiciales y revisión de documentos legales. A lo largo de cuatro módulos, los participantes aprenderán a interactuar con herramientas de inteligencia artificial de manera precisa y estratégica, comprendiendo los fundamentos del legal prompting y explorando casos de uso reales en el ámbito jurídico. Se abordarán distintos enfoques de prompting para tareas informativas, analíticas, creativas y resolutivas, así como recomendaciones para preservar la confidencialidad y evitar errores comunes. El curso también profundiza en las implicancias éticas y legales del uso de IA en el derecho, destacando la importancia de un enfoque ético y seguro. Al finalizar el mooc, los participantes contarán con los elementos necesarios para aplicar técnicas avanzadas de legal prompting y aprovechar las herramientas de IA, potenciando su práctica jurídica y fomentando la innovación en sus procesos profesionales. Objetivos del curso: - Desarrollar la capacidad de comprender los fundamentos del legal prompting, su funcionamiento y su impacto en la práctica jurídica moderna, aplicando esta comprensión para formular prompts claros y efectivos en contextos legales complejos, identificando los diferentes tipos de prompts según la tarea (búsqueda normativa, análisis de casos, redacción, entre otros). - Incorporar buenas prácticas que reduzcan los sesgos, mantengan la confidencialidad y eviten errores comunes al usar modelos de lenguaje en el ámbito legal. - Aplicar técnicas avanzadas de legal prompting mediante casos prácticos y simulaciones que reflejen situaciones reales del ejercicio profesional. - Reflexionar sobre los aspectos éticos y legales asociados al uso de IA en el derecho, asegurando una práctica responsable y segura. - Integrar la IA de manera efectiva en su ejercicio jurídico diario
Google Cloud
Generative AI with Vertex AI: Prompt Design
This is a self-paced lab that takes place in the Google Cloud console. This lab is part of a series designed to provide hands-on experience with Generative AI on Google Cloud.
Johns Hopkins University
Data and Health Indicators in Public Health Practice
Epidemiology is often described as the cornerstone science in public health. Epidemiology in public health practice uses study design and analyses to identify causes in an outbreak situation, guides interventions to improve population health, and evaluates programs and policies. In this course, we'll define the role of the professional epidemiologist as it relates to public health services, functions, and competencies. With that foundation in mind, we'll introduce you to the problem solving methodology and demonstrate how it can be used in a wide variety of settings to identify problems, propose solutions, and evaluate interventions. This methodology depends on the use of reliable data, so we'll take a deep dive into the routine and public health data systems that lie at the heart of epidemiology and then conclude with how you can use that data to calculate measures of disease burden in populations.
Coursera
Leading Teams Effectively: Skills for Impactful Leadership
In this course, you’ll develop the mindset, behaviors, and practical tools needed to lead with confidence and impact. You’ll explore the key traits of great leaders, strategies for building high-performing teams, and how to avoid toxic leadership pitfalls. Through real-world examples and hands-on exercises, you’ll craft a personalized development plan with actionable strategies to inspire and drive lasting success. This course is designed for individuals at all stages of their leadership journey—whether you are a current manager, supervisor, or team leader aiming to enhance your leadership impact, or an aspiring leader preparing to step confidently into a future leadership role. It also offers valuable insights for business management students who want to understand the real-world skills that effective leaders use to build strong, motivated teams. Regardless of your current position, this course will provide you with the practical tools, behaviours, and strategies needed to lead with clarity, confidence, and purpose. There are no formal prerequisites for this course—making it accessible to anyone with an interest in leadership development. Whether you have years of management experience or are just beginning to explore leadership concepts, this course is designed to meet you where you are. All you need is a desire to learn, reflect, and actively improve your leadership mindset and skills. With curiosity and commitment, you’ll gain valuable insights and practical tools to enhance your leadership effectiveness. By the end of this course, you will have a clear understanding of what it means to be an effective leader and how to apply practical strategies to build engaged, high-performing teams. You’ll also have the tools to reflect on your own leadership style, identify areas for growth, and develop a personalized leadership development plan to guide your ongoing journey. Leadership is not about perfection—it’s about continuous learning, self-awareness, and a commitment to supporting your team’s success. With the insights and skills gained from this course, you’ll be ready to lead with confidence, purpose, and impact.
University of Michigan
Achieving Health Equity in Healthcare
The third and the last course of the Addressing Racial Health Inequity in Healthcare specialization will go through various approaches that are used to addressing racial inequity in healthcare., and the strengths and challenges of those approaches. You will explore legal, policy, and regulatory approaches to interventions such as Title IX in the United States. You will explore what is being done to intervene on providers to reduce differential care. You will unpack quality improvement and multiple approaches to leveraging healthcare systems and community partnerships to address access to care. You will also come to understand the history and role of community health centers in being critical infrastructure in addressing the health needs of diverse populations. Finally, you will be introduced to the workforce initiatives and the reparations that aim to close the racial and ethnic healthcare disparities gaps.
Google Cloud
GKE Autopilot: Qwik Start
This is a self-paced lab that takes place in the Google Cloud console. GKE Autopilot provides a managed environment for deploying, managing, and scaling your containerized applications using Google infrastructure. Autopilot is a new managed mode of operation for Google Kubernetes Engine (GKE) in which Google creates, sizes, and automatically scales on your behalf the physical infrastructure needed to run your application workloads. In this lab, you get hands-on practice containerizing an application and deploying it to an Autopilot cluster using Kubernetes configuration and commands.
Google
Curso final de análisis computacional de datos de Google: completa un caso práctico
Este es el octavo curso del Certificado de análisis computacional de datos de Google. Tendrás la oportunidad de realizar un caso práctico opcional que te ayudará a prepararte para la búsqueda de empleos de análisis computacional de datos. Los empleadores suelen usar casos prácticos para evaluar las destrezas analíticas. En tu caso práctico, elegirás un escenario creado en función del análisis de datos. Luego, harás preguntas sobre los datos de este escenario y los prepararás, procesarás, analizarás y visualizarás, además de actuar en función de ellos. También aprenderás otras habilidades útiles para la búsqueda de empleos mediante videos sobre preguntas y respuestas frecuentes en las entrevistas, materiales de ayuda para crear un portfolio en línea y mucho más. Los analistas de datos actuales de Google seguirán dándote instrucciones y te proporcionarán formas prácticas de llevar a cabo las tareas comunes de los analistas de datos con las mejores herramientas y recursos. Los alumnos que completen este programa de certificados estarán listos para solicitar trabajos de nivel introductorio como analistas de datos. No se requiere experiencia previa. Al final de este curso, serás capaz de: - Aprender los beneficios y los posibles usos de los casos prácticos y los portfolios en la búsqueda de empleo. - Explorar escenarios de entrevistas en el mundo real y preguntas frecuentes de estas entrevistas. - Descubrir de qué manera los casos prácticos pueden formar parte del proceso de entrevista laboral. - Analizar y considerar diversos escenarios de casos prácticos. - Tener la oportunidad de realizar tu propio caso práctico para agregarlo a tu portfolio.
Logical Operations
Microsoft Publisher for Office 365/2021
Microsoft® Publisher for Office 365™ is a desktop publishing software application capable of producing greeting cards, certificates, newsletters, and other printed publications. Publisher includes a large collection of templates that provide a great way to start a new publication. Publisher offers a large selection of "building blocks" that can be dragged into your documents, helping you to create page elements such as calendars, newsletter sidebars, and borders. Publisher integrates online sharing and mail merge features, which are handy when you need to send publications to a list of customers, and it's possible to export publications as HTML web pages or PDF documents. With a user-friendly interface, Publisher makes it easy to create and edit publications. This course is intended for persons in a variety of job roles such as publishing specialists, layout specialists, graphic designers, or any other knowledge workers who need to use Microsoft Office Publisher to create, lay out, edit, and share publications. In this course, you will: perform basic tasks in the Microsoft Publisher interface, add content to a publication, format text and paragraphs in a publication, manage text in a publication, work with graphics in a publication, and prepare a publication for printing and sharing. This course requires that you have Microsoft Project installed on a Windows PC. The course setup instructions provided in the first module of the course go into more detail about the hardware and software requirements.
Google Cloud
Creating Derived Tables Using LookML
This is a Google Cloud Self-Paced Lab. In this lab, you create SQL derived and native derived tables in LookML to define new tables that do not already exist in the underlying database.
Google Cloud
Google Cloud 기반 데이터 분석 입문
초급 과정에서는 Google Cloud에서 데이터 분석 워크플로와 데이터를 탐색, 분석, 시각화하여 이해관계자와 결과물을 공유하는 데 활용할 수 있는 도구에 대해 학습합니다. 이 과정에서는 우수사례를 실무형 실습, 강의, 퀴즈/데모와 함께 활용해 원시 데이터 세트에서 데이터를 정리하여 효과적인 시각화 및 대시보드를 만드는 방법을 설명합니다. 이미 데이터를 활용하고 있고 Google Cloud를 효과적으로 활용하는 방법을 알고 싶거나 경력을 발전시키고 싶은 학습자라면 이 과정으로 학습을 시작해 보세요. 업무에서 데이터 분석을 수행하거나 활용하는 거의 모든 학습자에게 도움이 될 수 있습니다.
SkillUp
How to Build Credibility and Trust
Trust is the foundation of every high-performing team, and it starts with how you lead. This course equips you to lead with credibility, consistency, and empathy so people choose to trust and follow you. Through interactive lessons, real-world scenarios, and reflective exercises, you will build the ability to act with transparency, honesty, and integrity, manage people with empathy and understanding, and lead with consistency, reliability, and predictability. You will also refine your soft skills like communication, conflict resolution, and adaptability, while strengthening hard skills critical to your field. After completing this course, you will confidently analyze manager responsibilities, apply coaching and feedback techniques, design clear team goals, and create a Readiness Plan for team success. Practical exercises and a final project ensure you can implement ethical leadership, foster psychological safety, and align your team’s efforts with organizational goals, giving you the tools to perform effectively in modern workplaces.
Fundação Instituto de Administração
Liderança Inclusiva e Inovação
Nossas boas-vindas ao Curso Liderança Inclusiva e Inovação. Neste curso, você verá o respeito à inclusão e à diversidade e a necessidade de valorizar ambientes inclusivos tem obtido cada vez mais o apoio da sociedade. Uma das consequências desse movimento é a valorização de líderes capazes de estabelecer ambientes inclusivos, cujos membros da equipe convivam de forma harmoniosa. Ao final deste curso, você será capaz de: - Refletir sobre as mudanças ocorridas no século 21 que impactam o papel da liderança; - Conhecer o conceito de diversidade e inclusão e seu impacto na competitividade da empresa; - Entender as diferentes dimensões de diversidade como de gênero, idade, raça, religião etc.; - Debater e refletir sobre a relação entre diversidade e inovação; - Discutir ações afirmativas para inclusão e criação de ambientes inovadores. Este curso é composto por quatro módulos, disponibilizados em semanas de aprendizagem. Cada módulo é composto por vídeos, leituras e testes de verificação de aprendizagem. Ao final de cada módulo, temos uma avaliação de verificação dos conhecimentos. Estamos muito felizes com sua presença neste curso e esperamos que você tire o máximo de proveito dos conceitos aqui apresentados. Bons estudos!
Google Cloud
Cloud Assist Investigations を使用した AI によるトラブルシューティング
"Cloud Assist Investigations は、Google Cloud 環境で反復的なトラブルシューティングを行うための AI 対応ツールであり、ユーザーが一般的な問題をトラブルシューティングして、Google Cloud サービスの使用時に発生する可能性がある問題の根本原因を見つけられるようにすることを目的としています。 このコースでは、DevOps、SRE、プラットフォーム エンジニアを対象に、Google Cloud サービスのトラブルシューティングを合理的に進めるための Cloud Assist Investigations の効果的な使用方法について説明します。トラブルシューティングの時間を短縮し、Google Cloud ユーザーの全体的な運用効率を向上させることを目的に、トレーニングを通じて Cloud Assist Investigations の基礎知識を中心に学んでいきます。"