The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
Universidad Austral
Fundamentos de Excel para Negocios
Descripción del curso: Cuando finalices este curso habrás logrado un gran número de habilidades como introducir información, ordenarla, manipularla, realizar cálculos de diversa índole (matemáticos, trigonométricos, estadísticos, financieros, ingenieriles, probabilísticos), extraer conclusiones, trabajar con fechas y horas, construir gráficos, imprimir reportes y muchas más. Asimismo, los ejemplos sobre los cuales se apoyan los contenidos dictados en este curso tienen una profunda aplicabilidad al mundo de los negocios, con lo que su inmediata utilización empresarial está al alcance de la mano. Finalmente, los profesores que han diseñado y elaborado este curso para ti, no solamente dan una visión académica del software sino que, debido a su gran trayectoria profesional apoyada justamente en una profunda utilización de Excel, te transmitirán su propia vivencia que te permitirá tener una visión más concreta de las posibilidades que te brinda esta herramienta.
EDUCBA
Advanced Credit, Market & Liquidity Risk Analysis
This course focuses on evaluating financial uncertainty across credit exposure, trading activities, funding stability, and interest rate movements using advanced quantitative methods and real-world case analysis. Learners explore loss measurement techniques, tail event modeling, governance breakdowns, and balance sheet resilience within complex financial institutions. The program is designed for professionals and graduates seeking strong analytical capabilities in risk evaluation and decision-making. Through structured modules, participants examine exposure measurement, extreme market behavior, misconduct scenarios, funding instruments, currency dynamics, and asset–liability coordination to understand how risks interact across an institution. A strong practical orientation distinguishes this course, connecting analytical frameworks with historical market disruptions, policy responses, and institutional case studies. By the end, learners develop the ability to interpret models critically, question assumptions, and support informed financial risk decisions in global markets.
Microsoft
Foundations of AI and Machine Learning
This course provides a comprehensive introduction to fundamental components of artificial intelligence and machine learning (AI & ML) infrastructure. You will explore the critical elements of AI & ML environments, including data pipelines, model development frameworks, and deployment platforms. The course emphasizes the importance of robust and scalable design in AI & ML infrastructure. By the end of this course, you will be able to: 1. Analyze, describe, and critically discuss the critical components of AI & ML infrastructure and their interrelationships. 2. Analyze, describe, and critically discuss efficient data pipelines for AI & ML workflows. 3. Analyze and evaluate model development frameworks for various AI & ML applications. 4. Prepare AI & ML models for deployment in production environments. To be successful in this course, you should have intermediate programming knowledge of Python, plus basic knowledge of AI and ML capabilities, and newer capabilities through generative AI (GenAI) and pretrained large language models (LLM). Familiarity with statistics is also recommended.
Pontificia Universidad Católica de Chile
Recuperación Optimizada en Cirugía Colorrectal
Este curso tiene como propósito promover una visión inclusiva en los equipos de salud sobre el protocolo de recuperación optimizada en pacientes operados de cirugía colorrectal, a través de información actualizada del manejo multidisciplinario abordando el flujo del paciente considerando el momento antes de la cirugía (prequirúrgico) el día de la cirugía (intraquirúrgico) y el momento posterior a ella (postquirúrgico), además, se abordarán los beneficios para los centros de salud evaluando el potencial impacto que un protocolo de recuperación optimizada podría tener.
Siemens
Intro to Siemens NX: Engineering Essentials and Part Design
Welcome to Intro to Siemens NX: Engineering Essentials and Part Design!! This course will provide you with the essential skills needed to excel in computer-aided design (CAD), computer-aided manufacturing (CAM), and computer-aided engineering (CAE) using Siemens NX software. Be prepared to dive into the versatile capabilities of NX as it empowers engineers and designers to efficiently create, simulate, and manufacture products. By utilizing parametric, direct, and freeform modeling techniques, coupled with advanced simulation and CAM functionalities, NX offers flexibility and power in the product development lifecycle. From conceptual design to final production, NX streamlines the entire process, ensuring seamless transition from design to manufacturing. This introductory course is designed to enhance your understanding of the NX interface, its key features, and how to proficiently use its basic commands. Prior experience is not required, making this course accessible to both beginners and seasoned professionals looking to enhance their skills with Siemens NX.
Università di Napoli Federico II
Teaching with AI: tools
Teaching with AI is the first free training course, in MOOC format, designed for teachers and trainers who wish to explore AI and its applications in education. The learning pathway, guided by Federica AI Tutor, begins in this course by exploring the fundamental concepts and main tools of generative AI to integrate them into teaching activities. Discover new opportunities to renew teaching methodologies and adopt innovative strategies. Thanks to a video-based approach, the lessons are accessible even to non-experts, allowing key knowledge to be learned quickly. The course offers practical activities, AI-generated quizzes for self-assessment, and discussion spaces to encourage collaborative learning. Additional materials, such as downloadable slides, useful links, and extra tools, help deepen and consolidate knowledge.
Codio
SQL for Software Developers
This course is designed specifically for SQL Developers with a focus on PostgreSQL. It assumes a solid foundation in SQL and guides learners through advanced topics specific to PostgreSQL. You'll explore crucial concepts, such as complex queries, performance optimization, and database administration tasks unique to PostgreSQL. To ensure an immersive, self-paced learning experience, this course employs a video-free approach. Instead, assignments feature concise explanations, complemented by visuals and executable SQL code examples. These examples come with suggested modifications, encouraging learners to explore further and deepen their understanding through practical application. Participants will receive immediate feedback through a range of assessment items. These assessments progress from quick comprehension checks (multiple choice, fill in the blank, and unscrambling SQL queries) to small, manageable coding exercises that can be completed in minutes rather than hours.
Google Cloud
Create a RAG Application with BigQuery
This is a self-paced lab that takes place in the Google Cloud console. In this lab, you learn how to create a RAG pipeline from embeddings, vector search, to generation with Gemini in BigQuery.
Kennesaw State University
The Foundations of Cybersecurity
In order to manage the cybersecurity function business, you must first understand its language and its environment. This course covers the foundations of cybersecurity, including threats and vulnerabilities as well as the tools, technologies, and strategies used to manage it. After completing this course, a learner will be able to: ● Define key concepts and terminology in Cybersecurity ● Identify threats to cybersecurity ● Identify strategies to identify and remediate vulnerabilities in information assets ● Identify the systemic components (including personnel) necessary for an effective cybersecurity program
Coursera
Build a mobile app with Google Sheets on Glide and no coding
In this 2-hour long project-based course, you will learn how to create a mobile app from a Google Sheet using Glide, a web application built by former Microsoft engineers to simplify app development. You will learn how to create the data structure for the app to rely on Google Sheets, how to test the app, distribute it and install it, with no need of coding experience of skills. You will build a book-sharing mobile app with user sign-in functionalities, adding items, marking as favorites, creating personalized list, sharing book reviews and more. The tool can be used as an easy development and marketing tool in order to create functional apps for personal and business use, for your client, as promotion tools or company internal applications, and more. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
Universidad de Palermo
Finanzas y Operaciones de Marketing y Ventas
Marketing genera valor a través de la percepción de los clientes, Ventas transforma ese valor en ingresos para la empresa y Finanzas maneja los recursos para asegurar que su utilización genere los retornos esperados. En este curso abordamos temas gerenciales en los cuales, la interacción entre esas tres áreas esenciales de las empresas es muy fuerte. Se usa una impronta cuantitativa, con formas de medición de resultados en todos los temas abordados. Por eso, este es un curso que ayuda a formar ejecutivos con capacidad para gestionar estas tres importantes áreas. Objetivo del curso: Entender de forma cuantitativa y también cualitativa como Finanzas, Marketing y Ventas trabajan en conjunto en el desarrollo y la gestión de los proyectos.
Vanderbilt University
MATLAB을 사용한 프로그래밍 소개
이 과정에서는 이전 경험이 거의 또는 전혀 없는 사람들에게 컴퓨터 프로그래밍을 가르칩니다. 이 프로그램은 MATLAB이라는 프로그래밍 시스템과 언어를 사용하는데, 이유는 배우기 쉽고 기능이 많고 엔지니어와 기타 전문가에게 매우 유용하기 때문입니다. MATLAB은 숫자 조작과 관련된 문제를 해결하는 중간 규모의 프로그램을 작성하기에 훌륭한 특수 목적 언어입니다. 언어 설계상 몇 줄로 강력한 프로그램을 작성할 수 있습니다. 문제는 상대적으로 복잡할 수 있지만, 문제를 해결하는 MATLAB 프로그램은 상대적으로 간단합니다. 상대적이라 함은, C++ 또는 Java와 같은 범용 언어로 작성된 동등한 프로그램이라는 것입니다. 그 결과, MATLAB은 자연 과학부터 공학의 모든 분야, 금융 등 다양한 영역에서 사용되고 있으며 산업계에서도 많이 사용되고 있습니다. 따라서 MATLAB에 대한 탄탄한 배경 지식은 오늘날의 취업 시장에서 없어서는 안 될 필수 기술입니다. 그렇지만 이 과정은 MATLAB 튜토리얼이 아닙니다. MATLAB을 사용하여 컴퓨터 과학 및 프로그래밍의 일반적인 개념을 설명하는 프로그래밍 입문 과정입니다. 이 과정을 성공적으로 마친 학생은 컴퓨터 과학의 일반 개념에 익숙해지고 프로그래밍의 일반 개념을 이해하며 MATLAB 사용에 대한 탄탄한 기초를 얻게 됩니다. 이 과정을 수강하는 학생은 과정 기간 동안 MATLAB Online 라이선스를 무료로 받게 됩니다. 학생들은 이 과정의 기반이 되는 전자책을 참조하는 것이 좋습니다. 이러한 리소스에 대한 자세한 정보는 오른쪽의 리소스 메뉴에서 찾을 수 있습니다.
Coursera
Configure and Test Basic Network Connectivity
Welcome to this guided project about Configuring and Testing Basic Network Connectivity This project is designed for IT security professionals and aspiring network engineers. To succeed in this project, it’s recommended to have a good background in computer networks. A Cisco networking academy ID is also required to use the Packet Tracer in this project. In this project, you will configure and test basic network connectivity by managing configuration on Cisco devices such as IP addresses, virtual interfaces, and DHCP servers and verifying end-to-end network connectivity. By the end of this project, you will be able to configure small-size computer networks and test their end-to-end connectivity. This project is one of a kind because it teaches foundational computer network skills to beginners and professionals alike. Moreover, it is based on an entirely simulated environment where learners can practice as if they have access to real devices.
Board Infinity
Angular Intermediate: APIs, Testing & Scalable Architecture
This intermediate Angular course helps you transform a foundational application into a scalable, API-connected, production-ready system. You’ll integrate real backend services, manage asynchronous data using RxJS and Angular Signals (v18–21), structure maintainable component architectures, and introduce testing practices that improve reliability. The course begins with hands-on HTTP integration, including CRUD operations, interceptors, and error handling. You’ll then strengthen your understanding of reactivity and shared state using RxJS operators, Signals, and service-based state containers. Next, you’ll design scalable component communication patterns, apply dependency injection effectively, and organize feature-based architectures for large applications. Finally, you’ll implement unit and component testing, adding structured test coverage to real project features. By the end, your project evolves into a fully functional, data-driven Angular application built with scalability and maintainability in mind. By the end, you will: • Integrate backend APIs using Angular HttpClient and interceptors • Manage async data and shared state with RxJS and Signals • Design scalable component and feature-based architectures • Apply dependency injection patterns effectively • Write unit and component tests for services and UI logic This course is ideal for: • Developers who completed Angular fundamentals • Frontend engineers building data-driven apps • Developers preparing for mid-level roles • Learners targeting enterprise Angular projects Build Angular applications ready for real-world scale and reliability. Disclaimer: This is an independent educational resource created by Board Infinity for informational and educational purposes only. This course is not affiliated with, endorsed by, sponsored by, or officially associated with any company, organization, or certification body unless explicitly stated. The content provided is based on industry knowledge and best practices but does not constitute official training material for any specific employer or certification program. All company names, trademarks, service marks, and logos referenced are the property of their respective owners and are used solely for educational identification and comparison purposes.
University of Pennsylvania
Improving Communication Skills
Learn how to communicate more effectively at work and achieve your goals. Taught by award-winning Wharton professor and best-selling author Maurice Schweitzer, Improving Communications Skills is an essential course designed to give you both the tools you need to improve your communication skills, and the most successful strategies for using them to your advantage. You'll learn how to discover if someone is lying (and how to react if they are), how to develop trust, the best method of communication for negotiation, and how to apologize. You'll also learn when to cooperate and when to compete, how to create persuasive messages, ask thoughtful questions, engage in active listening, and choose the right medium (face-to-face conversation, video conference, phone call, or email) for your messages. By the end of the course, you'll be able to understand what others want, respond strategically to their wants and needs, craft convincing and clear messages, and develop the critical communication skills you need to get ahead in business and in life.
University of California San Diego
مقدمة عن البيانات الضخمة
مقدمة عن البيانات الضخمة هل أنت مهتم بزيادة معرفتك بأبرز سمات البيانات الضخمة؟ هذه الدورة التدريبية مخصصة للمستجدين في علوم البيانات والمهتمين بفهم أسباب ظهور عصر البيانات الضخمة. فهي مخصصة لمن يريدون الإلمام بالمصطلحات والمفاهيم الأساسية الخاصة بمشكلات البيانات الضخمة وتطبيقاتها وأنظمتها. إنها لمن يريدون البدء في التفكير بشأن الطريقة التي يمكن أن تفيدهم البيانات الضخمة بها في عملهم أو مسيرتهم المهنية. حيث تتعرض مقدمة عن أحد أكثر أطر العمل الشائعة ألا وهو Hadoop، والذي زاد من سهولة تحليل البيانات الضخمة وإمكانية الوصول إليها، فقد زاد من احتمالية تطوير البيانات الضخمة لعالمنا! وفي نهاية الدورة التدريبية، ستتمكن مما يلي: * وصف أبرز سمات البيانات الضخمة بما في ذلك الأمثلة على مشكلات البيانات الضخمة على أرض الواقع التي تتضمن ثلاثة مصادر أساسية للبيانات الضخمة وهي الأفراد والمؤسسات وأدوات الاستشعار. * شرح خصائص البيانات الضخمة التي تبدأ بالحرف V مثل (volume (الحجم)، وvelocity (السرعة)، وvariety (التنوع)، وveracity (الصحة)، وvalence (التكافؤ)، وvalue (القيمة)) ولماذا تؤثر كل خاصية من تلك الخصائص في جمع البيانات ومتابعتها وتخزينها وتحليلها والإبلاغ عنها * الاستفادة بقيمة البيانات الضخمة عن طريق استخدام عملية مكونة من 5 خطوات لهيكلة تحليلك. * تحديد المشكلات التي تندرج تحت البيانات الضخمة والتي لا تندرج تحتها، والقدرة على إعادة تشكيل مشكلات البيانات الضخمة مثل مسائل علوم البيانات. * تقديم تفسير للمكونات الهندسية والنماذج البرمجية التي تستخدم في التحليل القابل للتوسيع للبيانات الضخمة. * تلخيص ميزات المكونات الأساسية لمكدس Hadoop وقيمتها بما في ذلك مورد YARN ونظام إدارة الوظائف، ونظام ملفات HDFS، ونموذج برمجة MapReduce. * تثبيت البرامج وتشغيلها باستخدام إطار عمل Hadoop! هذه الدورة التدريبية موجهة للمستجدين في علوم البيانات. لا يلزم توافر خبرة برمجية مسبقة، على الرغم من ضرورة توافر القدرة على تثبيت التطبيقات واستخدام الأجهزة الظاهرية لإنجاز الواجبات العملية. متطلبات الأجهزة: (أ) معالج رباعي النواة (يوصى بمعالج يدعم ميزة VT-x أو AMD-V)، 64 بت؛ (ب) ذاكرة وصول عشوائي بحجم 8 جيجابايت؛ (ج) مساحة خالية بحجم 20 جيجابايت. طريقة العثور على معلومات الأجهزة: (نظام Windows): افتح النظام عن طريق الضغط على زر Start (بدء التشغيل)، وانقر بزر الفأرة الأيمن على أيقونة Computer (جهاز الكمبيوتر)، ثم انقر على Properties (خصائص)؛ (نظام Mac): افتح Overview (نظرة عامة) عن طريق الضغط على قائمة Apple والنقر على "About This Mac." سيتوفر الحد الأدنى من المتطلبات في معظم أجهزة الكمبيوتر ذات الذاكرة العشوائية سعة 8 جيجابايت والتي تم شراؤها في آخر 3 أعوام. وستحتاج إلى سرعة اتصال عالية بالإنترنت لأنك ستقوم بتنزيل ملفات يصل حجمها إلى 4 جيجابايت. المتطلبات البرمجية: تعتمد هذه الدورة التدريبية على العديد من الأدوات البرمجية مفتوحة المصدر، ومنها Apache Hadoop. ويمكن تنزيل جميع البرامج المطلوبة وتثبيتها مجانًا. تتضمن المتطلبات البرمجية ما يلي: Windows 7+ أو Mac OS X 10.10+ أو Ubuntu 14.04+ أو CentOS 6+ VirtualBox 5+.