The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
Google
أنت وأنظمة التشغيل: كيف تصبح مستخدمًا محترفًا
في هذه الدورة – من خلال مجموعة من محاضرات الفيديو والعروض التوضيحية والتدريب العملي – ستتعرف على المكونات الرئيسية لنظام التشغيل وكيفية أداء المهام بالغة الأهمية مثل إدارة البرامج والمستخدمين وتهيئة الأجهزة. بنهاية هذه الدورة، ستكون قادرًا على: ●التنقل بين أنظمة ملفات Windows وLinux باستخدام واجهة مستخدم رسومية ومُفسِّر سطر أوامر ●إعداد المستخدمين والمجموعات والأذونات للوصول إلى الحساب ● تثبيت البرامج وتكوينها وإزالتها على أنظمة تشغيل Windows وLinux ● تكوين أقسام القرص وأنظمة الملفات ● فهم طريقة عمل عمليات النظام وكيفية إدارتها ●العمل باستخدام سجلات النظام وأدوات الاتصال عن بُعد ● الاستفادة من معرفة نظام التشغيل لاستكشاف المشكلات الشائعة في دور اختصاصي دعم تكنولوجيا المعلومات وإصلاحها
Pearson
Kubernetes From Basics to Guru: Unit 5
This course offers a deep dive into the architecture of microservices, emphasizing the benefits of independent component development and seamless integration. You'll learn how to leverage Kubernetes for container-based microservices, ensuring efficient deployment and management. Additionally, the course introduces you to Istio Service Mesh, providing you with the tools to manage complex service-to-service communications and enhance application resilience. Through practical lessons, you'll master the use of Docker and Podman for image management, understand the intricacies of service mesh architecture, and implement traffic flow management for optimized application performance. By the end of this course, you'll be proficient in creating scalable, resilient microservices architectures.
Universitat Autònoma de Barcelona
Corporate governance. Mitos y realidades
El corporate governance o gobierno corporativo es uno de los temas más relevantes de nuestro tiempo, tanto desde el punto de vista jurídico como económico. Se trata de una corriente universal, impulsada desde el ámbito anglosajón, pero fuertemente desarrollada en Europa y también en Iberoamérica, Asia o África. Partiendo de esta realidad, el curso pretende: i) seleccionar algunos de los temas que, dentro de un catálogo potencialmente muy amplio pueden tener más interés para los usuarios de los MOOCs, especialmente de España y América Latina; ii) tratar de dar, por una parte, una visión teórica y práctica de cada cuestión y por otro lado, ilustrarlo de manera más didáctica mediante entrevistas con expertos o protagonistas de la materia analizada Se trata de determinar y analizar los temas realmente importantes que se están planteando y distinguirlos de otros que pueden un carácter más circunstancial o anecdótico, como sucede a menudo con cuestiones de gran actualidad. Por esa razón también se ha partido de un esquema en el que se cuestionan algunas ideas preconcebidas que puedan existir sobre el buen gobierno Se abordan con carácter específico temas clave de nuestro tiempo como el papel de los acreedores, la diversidad de género y el aspecto penal relacionado con las políticas de compliance.
Coursera
Evaluate and Reproduce Data Findings Fast
Evaluate and Reproduce Data Findings Fast is an intermediate-level course designed for data scientists, analysts, and ML/AI practitioners who need to ensure their analytical work is both efficient and trustworthy. In today’s fast-paced environment, analyses that cannot be easily reproduced create bottlenecks, erode confidence, and slow down team innovation. This course equips you with the essential skills to tackle two critical questions: "Have we collected enough data?" and "Can others trust and replicate our findings?" You will work through hands-on labs, real-world case studies, and interactive exercises to master the core principles of analytical rigor. You will learn to apply statistical power analysis to make strategic decisions about sample sizes, preventing wasted resources on excessive data collection. Furthermore, you will build fully reproducible workflows from the ground up using industry-standard tools, including parameterizing Jupyter notebooks with Papermill and managing datasets with Data Version Control (DVC). By the end of this course, you will be able to move beyond simple scripts to deliver robust, transparent, and automated analytical projects. Whether you are justifying a data strategy to stakeholders or ensuring your model can be validated by peers, this course provides the practical foundation needed to accelerate data-driven work and build a culture of trust and reproducibility.
Packt
Build a Developer Portfolio with SvelteKit & Sanity CMS
Updated in May 2025. This course now 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. This course will guide you step-by-step through the process of creating a professional developer portfolio using SvelteKit and Sanity CMS. By the end, you will have a fully functional portfolio site that showcases your skills, projects, and experience with dynamic content fetched from a headless CMS. You’ll learn how to build reusable components, style sections effectively, and handle backend functionality for contact forms, all while applying modern web development practices. The course starts by helping you set up the foundation for your portfolio project. You will establish your app's infrastructure and design key sections such as the hero, about me, work experience, and skills. With each video, you will build and style components, adding functionality along the way. The course's practical approach will ensure that you develop a solid understanding of component-based development and responsive design. As you move through the course, you’ll integrate Sanity as your headless CMS, learning how to set it up, define data schemas, and fetch the data into your SvelteKit frontend. You’ll also work with dynamic routing and process data efficiently to display on your portfolio. This section will ensure that your portfolio is both flexible and scalable for future updates. By the end of the course, you will have a fully deployed developer portfolio hosted on Vercel. This course is perfect for web developers looking to build a personalized portfolio with dynamic content management and modern development tools, helping them stand out in the competitive job market.
Coursera
Terraform for absolute beginners
Terraform allows infrastructure to be expressed as code. The desired state is expressed in a simple human-readable language. Terraform uses this language to provide an execution plan of changes, which can be reviewed for safety and then applied to make changes. Extensible providers allow Terraform to manage a broad range of resources, including hardware, IaaS, PaaS, and SaaS services. In this 1-hour long project-based course, you will get Understanding of Infrastructure as code Understanding of Terraform basics and its execution flow Understanding HCL language (Harshicorp Language System) syntax Creating infrastructure using Terraform Defining variables in Terraform
Google Cloud
Data Publishing on BigQuery for Data Sharing Partners
This is a self-paced lab that takes place in the Google Cloud console. In this lab you will learn how to share datasets and publish datasets with BigQuery.
Microsoft
Negotiation and Ethical Practices in Account Management
This course focuses on developing negotiation skills and understanding the ethical practices critical to account management. Learners will explore advanced techniques for contract negotiation, tactics for engaging with prospective clients, and navigating regulatory and ethical challenges. Through practical exercises, learners will enhance their ability to secure win-win outcomes and maintain ethical standards in their professional practice while learning how to responsibly use AI tools such as Microsoft Copilot, with an emphasis on data privacy, human oversight, and legal compliance.
Johns Hopkins University
Building a Data Science Team
Data science is a team sport. As a data science executive it is your job to recruit, organize, and manage the team to success. In this one-week course, we will cover how you can find the right people to fill out your data science team, how to organize them to give them the best chance to feel empowered and successful, and how to manage your team as it grows. This is a focused course designed to rapidly get you up to speed on the process of building and managing a data science team. Our goal was to make this as convenient as possible for you without sacrificing any essential content. We've left the technical information aside so that you can focus on managing your team and moving it forward. After completing this course you will know. 1. The different roles in the data science team including data scientist and data engineer 2. How the data science team relates to other teams in an organization 3. What are the expected qualifications of different data science team members 4. Relevant questions for interviewing data scientists 5. How to manage the onboarding process for the team 6. How to guide data science teams to success 7. How to encourage and empower data science teams Commitment: 1 week of study, 4-6 hours Course cover image by JaredZammit. Creative Commons BY-SA. https://flic.kr/p/5vuWZz
Pontificia Universidad Católica de Chile
Introducción a la Valoración financiera
Este MOOC permite conocer los diferentes enfoques existentes para valorizar activos analizando tanto sus fortalezas y debilidades. Para ello analiza sus aplicaciones a diversos tipos de activos, en base a los contenidos presentados en módulos. Se desarrolla el tema del valor tiempo del dinero, la valorización de los bonos, las acciones, discutiendo los beneficios asociados y sus implicancias en sus precios. Por último, se enfocará en la valorización de activos reales, incluyéndose proyectos de inversión y empresas.
Universitat Autònoma de Barcelona
Empoderamiento juvenil y Educación social
El término “empoderamiento” está de moda. Lo escuchamos a menudo en los medios de comunicación y en los discursos de los políticos, pero ¿qué quiere decir exactamente que una persona, un grupo o una comunidad está empoderada? ¿Es posible empoderar a la juventud?, ¿La educación es un medio adecuado para ayudar a las personas jóvenes a empoderarse? El objetivo de este curso es que aprendas en qué consiste exactamente el empoderamiento juvenil y, también, cómo conseguir el empoderamiento de las personas jóvenes a través de la educación social y de las acciones socioeducativas. Si sigues este curso vas a poder: a) Analizar las características de la juventud en la actualidad a través de las relaciones de poder, de las acciones socioeducativas y de los procesos de empoderamiento juvenil. b) Conocer el significado del concepto de empoderamiento juvenil, de las dimensiones que lo configuran y de los espacios, momentos y procesos a través de los que se produce. c) Aprender estrategias, herramientas y recursos de intervención socioeducativa para facilitar que las personas jóvenes puedan hacer frente tanto a sus necesidades y situaciones de vulnerabilidad como a la búsqueda o creación de contextos de oportunidad para su desarrollo cívico y cultural. d) Identificar los retos actuales del trabajo socioeducativo que pretende conseguir el empoderamiento de las personas jóvenes.
EDUCBA
Master AI Tools & Robotics: Analyze, Automate, Innovate
Learners will analyze modern AI tools, evaluate intelligent automation workflows, and interpret how robotics and AI-driven systems operate in real-world environments. This course equips learners with the ability to apply cutting-edge AI platforms for content creation, data science, marketing, customer support, and productivity while also understanding how robots perceive, learn, and make decisions through AI and reinforcement learning. By completing this course, learners gain a dual benefit: practical skills to use today’s most powerful AI tools across creative, business, and technical domains, and foundational knowledge of AI-driven robotics that prepares them for emerging careers in automation, machine learning, and intelligent systems. This blend of hands-on tool mastery and conceptual robotics understanding ensures learners can innovate confidently in AI-enhanced workplaces. What makes this course unique is its integrated approach—combining real-world AI tool application with robotics and learning system fundamentals—enabling learners not only to use AI, but to understand how intelligent systems think, adapt, and evolve. Whether you're a beginner or a professional upskilling for the future, this course provides a comprehensive, industry-aligned pathway into modern AI innovation.
UNSW Sydney (The University of New South Wales)
Learning to Teach Online
Are you an educator? Have you ever wanted to understand more about how to design your class to make better use of educational technology – whether fully online or in blended contexts? Would you like to learn from those who have extensive practical experience with online technologies? The Learning to Teach Online (LTTO) MOOC will help you develop a working understanding of successful online teaching strategies that you can apply in your own practice. The course is based upon the multi award winning open educational resource developed by Dr Simon McIntyre and Karin Watson. Integrating online technologies into your teaching can be a challenging prospect, and it can be difficult to know how to approach it effectively for the benefit of both students and yourself. No one knows your own content and teaching strengths better than you, and the “one size fits all” formula doesn’t always suit everyone. No matter what type of technology you are interested in exploring or your level of experience, this course will help you draw on your teaching strengths and find the approach that is right for you, your students and your educational context. This course will guide you through your journey of understanding how online technologies can enhance your course design. You will have the opportunity to develop your understanding of effective online teaching practices and their relationship to the use of different technologies. You will also be encouraged to progressively design and reflect upon your own online learning activity, assessment or resource for use in your own class if you choose to undertake the course assignments.
Universidad Nacional Autónoma de México
Toma de decisiones financieras
Este es el último curso del programa especializado de finanzas corporativas, ofrecido por la UNAM. En este, el administrador financiero será capaz de integrar todos los elementos aprendidos en los cinco cursos anteriores, en un caso práctico que le permita tomar decisiones de inversión y financiamiento en una situación simulada.
Macquarie University
Умения работы с Excel для бизнеса: уровень Intermediate I
Табличные редакторы — по-прежнему одни из самых распространенных офисных программ во всем мире. Уверенное владение этими программами — весьма ценная строчка в вашем резюме. В одних лишь США каждый день открываются миллионы вакансий, требующих владения Excel. По данным исследования компаний Burning Glass Technologies и Capital One, цифровые компетенции в век бурного роста занятости в цифровой сфере открывают перспективы трудоустройства с более высоким доходом по сравнению с другими сферами. В данном курсе «Умения работы с Excel для бизнеса» (втором по счету курсе по Excel) вы будете развивать свои умения на прочном фундаменте, полученном в рамках курса Essentials. Курс Intermediate I откроет перед вами новые горизонты владения редактором Excel. Вы откроете для себя ряд новых умений и приемов работы в Excel, и они прочно войдут в ваш обиход. В данном курсе вы создадите задел из умений более высокого уровня, позволяющих оперировать большими объемами данных и создавать содержательные отчеты. Эти ключевые приемы и инструменты позволят более глубоко автоматизировать рутинные задачи и повысить эффективность работы в Excel. Еще раз напомним — мы собрали выдающийся преподавательский коллектив, который будет сопровождать вас на каждом этапе курса. Прашан и Ники будут с вами каждую неделю курса, а я появлюсь в качестве гостя на пятой неделе, чтобы помочь с освоением моего любимого инструмента в Excel, но на этом пока все, давайте без спойлеров! Проходите каждое новое испытание шаг за шагом, и очень скоро вы удивитесь собственному прогрессу. В этот раз мы проследим за испытаниями и злоключениями, преследующими Уму в то время, как она пытается прочно встать на ноги в своей новой должности в вымышленной компании PushPin. Те из вас, кто прошел курс Essentials, уже знают, что это за компания. Наблюдая, как Ума решает набившие каждому из нас оскомину проблемы, вы быстрее увидите, как они связаны с навыками и методами, осваиваемыми в каждую неделю курса, что позволит применять эти навыки в уже знакомых и новых ситуациях.
Intuit
Reconciling accounts and examining financial statements
In the final course of this certificate, you will apply your skills towards financial statement analysis. If you have the foundational concepts of accounting under your belt, you are ready to put them into action in this course. Here, you will learn how to reconcile different types of accounts, check for accuracy, and troubleshoot errors. Additionally, you will practice how to apply different analytical methods to key financial statements and understand how these methods inform a variety of business decisions. By the end of this course, you will be able to: -Describe and illustrate the use of a bank reconciliation in controlling cash -Outline the purpose of financial statements in relationship to decision making -Describe basic financial statement analytical methods -Apply quantitative skills to analyze business health Courses 1-3 in the Intuit Bookkeeping Professional Certificate, or the equivalent, are recommended prerequisites for this course.