The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
Google Cloud
Digital Transformation with Google Cloud - Français
La technologie cloud et la transformation numérique suscitent beaucoup d'enthousiasme, mais elles génèrent aussi souvent beaucoup de questions laissées sans réponse. Par exemple : Qu'est-ce que la technologie cloud ? Qu'entend-on par transformation numérique ? Que peut vous apporter la technologie cloud ? Et par où commencer ? Si vous vous êtes déjà posé une de ces questions, vous êtes au bon endroit. Ce cours offre un aperçu des opportunités et des défis que les entreprises peuvent rencontrer lors de leur transformation numérique. Si vous souhaitez découvrir les technologies cloud afin de pouvoir exceller dans votre rôle et contribuer à bâtir l'avenir de votre entreprise, ce cours d'introduction sur la transformation numérique est pour vous. Il fait partie du parcours de formation Cloud Digital Leader.
Google Cloud
Dikkat Mekanizması
Bu kursta nöral ağların, giriş sırasının belirli bölümlerine odaklanmasına olanak tanıyan güçlü bir teknik olan dikkat mekanizması tanıtılmaktadır. Kursta, dikkat mekanizmasının çalışma şeklini ve makine öğrenimi, metin özetleme ve soru yanıtlama gibi çeşitli makine öğrenimi görevlerinin performansını artırmak için nasıl kullanılabileceğini öğreneceksiniz.
Jordan University of Science and Technology
Immunology for all
This course introduces beginner learners to general information about a critically important system in the body — the immune system — whose complete failure renders life impossible. The immune system protects us from external pathogens, toxins, and internal threats such as cancers through multiple arms of immunity: specialized and nonspecialized, cellular and humoral. The immune response in any of its arms begins with recognizing the danger and foreign nature of the invader, followed by activation and stimulation of the immune system, and concludes with the destruction and elimination of the threat. This course aims to provide a general overview of each arm of immunity, its mechanisms, characteristics, and roles in disease, recovery, general health, autoimmune disorders, and in organ transplant acceptance or rejection. It also covers important medical applications such as childhood vaccinations. There are also important laboratory and diagnostic uses of the immune system that we rely on. The course will explain many well-known and common conditions rooted in immune system functions, using the least amount of specialized technical terminology possible.
Google
Ask Questions to Make Data-Driven Decisions
This is the second course in the Google Data Analytics Certificate. You’ll build on your understanding of the topics that were introduced in the first course of this certificate program. The material will help you learn how to ask effective questions, make data-driven decisions, and meet stakeholders’ needs. Current Google data analysts will instruct and provide you with hands-on ways to accomplish common data analytics tasks. Learners who complete this certificate program will be equipped to apply for introductory-level jobs as data analysts. No previous experience is necessary. By the end of this course, you will: - Learn about effective questioning techniques that can help guide analysis. - Gain an understanding of data-driven decision-making and how data analysts present findings. - Explore a variety of real-world business scenarios as an example of questioning and decision-making. - Discover how and why spreadsheets are an important tool for data analysts. - Examine the key ideas associated with structured thinking and how they can help analysts better understand problems and develop solutions. - Learn strategies for managing the expectations of stakeholders while establishing clear communication with a data analytics team to achieve business objectives.
Coursera
Business Interviews: Communication, Research & Tips
Business Interviews: Communication, Research & Tips is a concise yet comprehensive course designed to equip learners with the essential skills and knowledge to excel in the interview process. From understanding the nuances of the role and company to mastering the art of communication and navigating interview etiquette, this course lays a solid foundation for interview success. Through practical advice, targeted strategies, and real-world examples, learners will be prepared to make a memorable impression on potential employers, setting the stage for career advancement. This course is tailored for a diverse group of individuals, including job seekers, recent graduates, and career changers aiming to navigate the job market effectively. It also serves mid-career professionals, entrepreneurs, startup founders, human resources professionals, and students applying for internships. Additionally, academic applicants, freelancers, consultants, professionals preparing for performance reviews, as well as coaches and career advisors will find this course highly beneficial. There are no prerequisites for this course, making it accessible to anyone interested in enhancing their job application and interview skills. Whether you are just starting your career journey or looking to make a significant career shift, this course provides valuable insights and practical strategies without requiring prior experience or knowledge in the subject. After completing this course, learners will conduct thorough research on prospective employers and roles to tailor their preparations and interviews. They will align their personal branding with role requirements by analyzing their experiences and skills. Additionally, participants will master interview etiquette, including virtual interactions, and enhance their communication skills to answer questions clearly and effectively, navigate difficult topics, and engage in productive dialogues about their potential roles within companies.
Universitat Politècnica de València
Aprende a potenciar tu productividad con IA y ChatGPT
¿Buscas aumentar tu eficiencia en el trabajo? ¿Tienes curiosidad por saber cómo ChatGPT y otras herramientas de IA pueden transformar tu flujo de trabajo profesional? ¡Este curso está diseñado específicamente para ti! Este curso te enseña a aprovechar la innovadora plataforma de inteligencia artificial de OpenAI y otras herramientas similares. Dominarás el arte de utilizar las capacidades de ChatGPT, al mismo tiempo que comprendes sus puntos fuertes y sus limitaciones, y desarrollarás habilidades esenciales para crear prompts potentes que te den resultados. El camino comienza con los conceptos básicos de ChatGPT: entender su funcionalidad principal, su mecánica operativa y las razones de su gran adopción. También te daremos una evaluación honesta de la tecnología, explorando sus restricciones y enseñándote cómo trabajar con ellas de forma eficaz. Dominar la "ingeniería de prompts" es la piedra angular de este programa. Dado que la calidad de la respuesta de ChatGPT se correlaciona directamente con la calidad de tu entrada, desarrollarás experiencia en la comunicación con sistemas de inteligencia artificial para obtener resultados precisos y rápidos que cumplan con tus requisitos específicos. También te explicaremos las principales herramientas de IA de otras empresas, como Microsoft Copilot, Google Gemini, Claude de Antrophic o Deepseek, para que puedas elegir la que más te convenga. A lo largo del programa, explorarás numerosas aplicaciones del mundo real, que incluyen: Crear solicitudes formales para oficinas gubernamentales. Generar resúmenes concisos a partir de documentos extensos en cuestión de segundos. Mejorar la comunicación profesional por correo electrónico en inglés. Convertir documentos entre idiomas como el alemán y el inglés. Desarrollar fórmulas complejas de Excel y macros de automatización. Diseñar currículos y planes de estudio para educadores. Crear aplicaciones personalizadas que generen documentos de Word formateados automáticamente. Perfecto para los recién llegados a ChatGPT y el mundo de la IA que quieren adquirir una experiencia sólida, este curso te asegura que no solo aumentarás tu productividad en el lugar de trabajo, sino que también obtendrás conocimientos profundos sobre la funcionalidad y personalización de la inteligencia artificial. ¡Transforma tus capacidades profesionales y desbloquea nuevos niveles de eficiencia!
University of Colorado Boulder
BiteSize Python: Data Visualization
This course focuses on data visualization, an essential skill for effectively communicating insights derived from data. It introduces three widely used Python packages: Matplotlib, Seaborn, and Plotly, each known for its unique capabilities in data visualization. The course covers the basics of these libraries and demonstrates how to create a variety of visualizations, from simple plots to complex interactive graphics. Through hands-on practice and case studies, students will learn how to choose the right visualization for their data, customize their plots, and create compelling visuals that convey meaningful insights. Optional case studies will allow students to deepen their understanding by applying these tools in real-world scenarios.
Universidad de Chile
¿Cómo (nos) cambia la Tecnología?
La tecnología forma parte de nuestro día a día, es algo tan naturalizado, que muchas veces no somos conscientes de como esto llega a nuestras manos, cuantas personas lo tuvieron antes que nosotros y cuál es el impacto. (Social, Económico, Ambiental y especialmente Cultural) que tiene sobre nuestras vidas. Este curso tiene como objetivo principal la reflexión del desarrollo tecnológico y su impacto. Con aportes de las ciencias exactas, la literatura y el cine de Ciencia Ficción (SciFi), exploraremos el poder de la Tecnología en la vida diaria, el trabajo, como en la civilización, (re)estableciendo relaciones (re)definiendo el rol que cumplen los artefactos en la vida diaria. Este curso analiza todos los tópicos desde la mirada de los Estudios de Ciencia y Tecnología CTS o STS, en inglés) Las competencias a desarrollar se centran en la consciencia tecnológica, el razonamiento analítico y crítico y la resolución de problemas y el descubrimiento inductivo de los fenómenos que la tecnología abarca, tanto en la vida profesional como personal del estudiante.
University of Illinois Urbana-Champaign
Cannabis Propagation
Cannabis Propagation covers the first step of cannabis indoor production. This comprehensive course will explore the essential techniques and best practices for propagating cannabis plants, catering to both novice growers and experienced horticulturists. Students will learn about the differences between seed (sexual) and clonal (asexual) propagation. This course covers key topics from germination, sowing seeds, early seeding care, care to cloning techniques, transplanting, and growth systems such as indoor pot, hydroponic, and aeroponic systems. By the end of the course, learners will be equipped with the knowledge and confidence to effectively propagate cannabis plants, ensuring a healthy start for their cultivation endeavors.
Real Madrid Graduate School Universidad Europea
Estrategias e innovación en marketing deportivo
Este curso explora cómo las tecnologías emergentes y los nuevos formatos están redefiniendo el marketing deportivo. El alumnado aprenderá a planificar y ejecutar estrategias de marketing para eventos deportivos locales y globales, así como a generar expectación antes, durante y después de cada evento. Se analiza especialmente cómo entidades como el COI desarrollan estrategias de engagement sostenido. El curso profundiza en tecnologías punteras como la realidad aumentada, la realidad virtual, el blockchain y los NFTs, y cómo están transformando la forma en la que los aficionados interactúan con las marcas. También se abordará el crecimiento de los eSports y las oportunidades de colaboración con el deporte tradicional. Por último, se estudiará cómo integrar la RSC, la sostenibilidad y la evolución narrativa en los criterios de éxito de los grandes eventos. Casos reales permitirán aplicar estos conceptos a escenarios de marketing en transformación.
Coursera
Оценка акций через анализ сопоставимых компаний
В этом курсе-проекте продолжительностью 1 час вы получите следующие навыки: вычисление мультипликаторов прибыли и сравнение мультипликаторов для получения справедливой цены акции. Примечание. Этот курс изначально создан для учащихся из Северной Америки. На данный момент мы адаптируем его и для других регионов. Контент этого курса не является инвестиционной рекомендацией.
Pearson
CompTIA Cloud CV0-003: Unit 8
This course covers the fifth and final exam question domain, providing a comprehensive exploration of various troubleshooting scenarios and their potential root causes. You will dive into troubleshooting methodology, learning a systematic approach to tackle security permissions and data security issues. It focuses on deployment and connectivity challenges, where you will explore configuration problems, capacity issues, and network troubleshooting tools. It also addresses performance and automation scenarios, guiding you through resource utilization, application deployment, and orchestration issues. This course will prepare you to troubleshoot effectively in cloud environments and ensure seamless operations.
Packt
Foundations of Data Science and Machine Learning with Python
This course features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. Embark on a hands-on learning journey through data science and machine learning with Python. In this course, you will gain a deep understanding of core data science concepts and machine learning techniques, while mastering essential Python libraries. You will build the skills necessary to analyze datasets, visualize results, and apply machine learning models to real-world data. The course begins with an introduction to data handling, including installing necessary tools like Anaconda, followed by a Python crash course. You will then explore foundational statistical concepts and their application using Python. Next, we delve into building predictive models, from linear regression to polynomial and multiple regression, and understanding their real-world applications. As you progress, you'll dive into machine learning techniques, such as supervised and unsupervised learning, including decision trees, support vector machines, and ensemble learning methods like XGBoost. Finally, you’ll learn how to build recommender systems, helping you understand the intricacies of collaborative filtering and how to improve your model’s predictions. This course is ideal for individuals eager to break into the world of data science and machine learning, as well as those wishing to enhance their Python skills for professional growth. The course assumes basic familiarity with programming concepts, making it perfect for beginners in the field.
University of Amsterdam
COVID UNCOVERED: Beleidsimpact op sociaal kwetsbare mensen
Sociale kwetsbaarheid verwijst naar een maatschappelijk-historische context waardoor sommige mensen worden bedreigd met sociale uitval of uitsluiting. Onderzoek over de piekfase van de pandemie laat zien dat COVID-19 maatregelen een grote impact hadden op sociaal kwetsbare groepen, waaronder ouderen (70+) die thuis woonden en afhankelijk waren van mantelzorg, mensen met een licht verstandelijke beperking en dak- en thuislozen. Dit onderzoek, uitgevoerd door onderzoekers van de Universiteit van Amsterdam en gefinancierd door ZonMw, richt zich op deze doelgroepen en hoe zij terugkijken naar de COVID-19 maatregelen in een post-pandemische fase. Aan de hand van gefilmde interviews en dialogen komen de volgende onderzoeksvragen aan bod: 1. Hoe werd kwetsbaarheid tijdens de COVID-19 pandemie ge(her)definieert en beïnvloed door de maatregelen? 2. Welke effecten van de COVID-19 maatregelen zijn nu nog aanwezig op persoonlijk vlak? 3. Welke effecten van de COVID-19 maatregelen zijn nu nog aanwezig op programmatisch vlak binnen de betrokken organisaties? 4. Wat is er nodig om geleerde lessen te vertalen naar de praktijk en deze verder te verduurzamen of te institutionaliseren?
Google Cloud
생성형 AI 앱: 업무 혁신
'생성형 AI 앱: 업무 혁신'은 생성형 AI 리더 학습 과정의 네 번째 과정입니다. 이 과정에서는 Workspace를 위한 Gemini, NotebookLM 등 Google의 생성형 AI 애플리케이션을 소개합니다. 그라운딩, 검색 증강 생성, 효과적인 프롬프트 작성, 자동화된 워크플로 구축 등의 개념을 안내합니다.
Packt
Ethical Considerations in Business AI Applications
This course features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. In this course, you will explore the critical ethical considerations for businesses using AI technologies. You will gain insights into how to implement ethical AI practices, ensuring integrity, transparency, and respect for privacy. By examining real-world examples, you’ll learn how to avoid common pitfalls, such as misinformation and biased decision-making, and develop strategies to mitigate harm caused by AI systems. The course also covers important topics like intellectual property protection, emotional boundaries in AI interactions, and the importance of stakeholder collaboration in evolving ethical challenges. By the end, you'll be equipped to make responsible AI decisions, fostering trust and fairness in your business practices. This course is ideal for business professionals and anyone interested in understanding the ethical complexities of AI in today’s world.