The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
Coursera
Refine Segmentation: Boost Your AI Vision
This short, hands-on course helps you evaluate and refine image segmentation results with confidence. You will learn how to measure performance using IoU, Dice, class-wise tables, and visual overlays—then turn these insights into practical improvements using simple, production-friendly post-processing techniques. Along the way, you’ll work with common tools used by ML and data science teams and practice interpreting segmentation behavior in real scenarios.You will build a refinement pipeline that includes CRF-based smoothing and morphological operations, test its impact, and document your results like an applied ML engineer. Whether you're debugging your first segmentation model or optimizing a mature one, this course gives you the evaluation and improvement skills that computer vision teams rely on daily.
EDUCBA
Web Application Development with ASP.NET Core
Unlock the world of web application development with our 'Web Application Development with ASP.NET Core' course. In the 'Introduction to ASP.NET Core' module, you'll grasp the fundamentals of ASP.NET Core architecture. Next, in 'Building Web APIs,' you'll master the art of creating powerful API services. 'Working with Entity Framework Core' will equip you with database management skills, and 'Authentication and Authorization' will empower you to secure your applications. Harness the potential of ASP.NET Core to build modern, responsive, and secure web applications.
École Polytechnique Fédérale de Lausanne
Initiation à la programmation (en Java)
Ce cours initie aux bases de la programmation en utilisant le langage Java : variables, boucles, fonctions, ... Il ne présuppose pas de connaissance préalable. Les aspects plus avancés (programmation orientée objet) sont donnés dans un cours suivant, «Introduction à la programmation orientée objet (en Java)». Il s'appuie sur de nombreux éléments pédagogiques : vidéos sous-titrées, quizz dans et hors vidéos, exercices, devoirs notés automatiquement, notes de cours.
Duke University
برمجة Java: حل المشكلات باستخدام البرامج
تَعلّم التعليمات البرمجية في Java، وحسّن برمجتك ومهارات حل المشكلات. ستتعلم تصميم الخوارزميات وأيضًا تطوير البرامج وتصحيحها. استخدام فئات مخصصة مفتوحة المصدر، ستكتب برامج بإمكانها الوصول إلى الصور ومواقع الويب وأنواع أخرى من البيانات وتحولها. في نهاية الدورة ستنشئ برنامجًا يُحدد شهرة أسماء المواليد المختلفة في US بمرور الوقت من خلال تحليل ملفات القيمة المفصولة بفاصلة (CSV). بعد الانتهاء من الدورة ستتمكن من: 1. تحرير برنامج Java وتحويله برمجيًا وتشغيله، 2. استخدام العبارات الشرطية وحلقات التكرار في برنامج Java، 3. استخدام وثائق Java API في كتابة البرامج. 4. تصحيح برنامج Java باستخدام أسلوب علمي، 5. كتابة أسلوب Java لحل مشكلة معينة، 6. تطوير مجموعة من حالات الاختبار كجزء من تطوير البرنامج، 7. إنشاء فئة باستخدام عدة أساليب تعمل معًا لحل المشكلة، و 8. استخدام تقنيات تصميم فرق تسد لبرنامج يستخدم عدة أساليب.
Coursera
Analytics: Uncover Key Report Insights
Transform raw website data into marketing gold with Google Analytics mastery! Every click, scroll, and conversion on your website tells a story—and successful marketers know how to read that story to drive results. This course empowers digital marketing professionals to confidently navigate Google Analytics' core reporting interface and unlock time-based performance comparisons that reveal critical business insights. By completing this course, you'll master the foundational skills that separate data-curious marketers from data-confident decision makers. You'll discover where to find essential reports instantly, understand what each report reveals about your audience, and compare performance across any time period to spot trends, measure campaign success, and optimize your marketing strategy. By the end of this course, you will be able to: • Navigate to core web analytics reports with confidence • Apply time-based comparison features for trend analysis< • Transform reporting data into actionable marketing insights This course is unique because it bridges the gap between technical analytics knowledge and practical marketing application, focusing on the reports and comparisons that matter most for driving business results.To be successful in this course, you should have basic familiarity with digital marketing concepts and access to Google Analytics.
University of California, Davis
Optimizing a Website for Google Search
Learn the ins and outs of optimizing a website, from conducting an initial audit to presenting your findings and recommendations. Hands-on activities include learning how to select and apply appropriate keywords throughout a website, incorporating keyword research in a content marketing strategy, and optimizing a site for local search. You will also learn strategies for setting goals and client/stakeholder expectations, building effective analytics and reports, and communicating SEO improvements.
Alfaisal University | KLD
المهارات الأساسية لمديري اليوم
فرضت الثورة المعلوماتية الهائلة الناتجة عن التطور والتغير التكنولوجي السريع والمستمر وما صاحبها من تقلبات اقتصادية على الصعيد المحلي والعالمي، العديد من الصعوبات والتحديات على مختلف المؤسسات، وأصبح الحفاظ على الوجود وتحقيق التميز يتوقف على تطبيق أساليب جديدة في الإدارة (Management) خاصة تلك التي تحتاج إلى الاعتماد على العمالة ذات المهارات المعرفية (Knowledge Workers)، لذلك يتطلب الأمر توفر مجموعة من المهارات الأساسية لمديري اليوم (Essential Skillsets for Today’s Managers). هذه الدورة هي دورة تمهيدية؛ فهي تلقي الضوء على أساسيات الموضوع بشكل عام بهدف التعريف به وبمحاوره الأساسية التي يجب الإلمام بها. إذا كنت من المهتمين بفهم المهارات الأساسية لمديري اليوم، أو كان مجال عملك يتطلب توظيف ذلك في سياق عملك، فهذه الدورة ستكون مثالية لإغناء خبرتك وتطوير مهاراتك بشكل فعال ومؤثر. حيث ستزودك هذه الدورة باطلاع واسع ودقيق على مجموعة من المحاور المتعلقة بهذا الموضوع، مثل: التعرف على متطلبات ومميزات مدير المستقبل وأهم التحديات التي تواجهه، فهم كيفية إدارة متطلبات المدير في العمل، شرح كيفية إدارة النفس.
Pontificia Universidad Católica del Perú
Realidad Aumentada
Te damos la bienvenida al curso-taller: "Desarrollo de Realidad Aumentada" en el que podrás desarrollar aplicaciones móviles de realidad aumentada que se ajusten a las necesidades del mercado actual. Este curso se basa en la generación de conocimiento a través de la experiencia directa con las tecnologías de realidad aumentada y la enseñanza mediante proyectos, donde aprenderás los conceptos básicos para el manejo del software, motor de videojuegos y los SDK que permiten la interacción en realidad aumentada en dispositivos móviles. Te recomendamos ir realizando tu propio proyecto de realidad aumentada, en la medida que vas avanzando en el curso, ya que es un curso teórico-práctico. ¡Muchos éxitos!
Logical Operations
Project Management: Reporting and Closing Projects
To round out your data-analysis skills in project management, you'll communicate during a project, manage stakeholder relationships and expectations, and report on project performance. You'll also perform sprint reviews and retrospectives and coordinate releases and deployment planning. Finally, you'll deliver the final product, close project procurements, and then close the project. This is the fifth and final course in a multi-course Specialization. All of the courses in this Specialization require that you have a recent version of Microsoft Word and Excel installed in order to open the course data files. The course setup instructions provided in the first course go into more detail about the hardware and software requirements.
Coursera
Set Up a Clockify Workspace
In this project, you will set up a workspace in Clockify to track billable hours for a small business. Clockify is a great free software for time tracking and generating reports. It will help your business stay organized and prepare for future growth. Note: This course works best for learners who are based in the North American region. We’re currently working on providing the same experience in other regions.
Coursera
YouTube Growth: Boost Your Engagement
In this course, you'll discover powerful strategies for growing your YouTube audience and fostering community engagement. You'll learn to create sustainable content schedules, produce YouTube Shorts that complement your long-form content, and implement effective live streaming approaches. You'll master techniques for building an active, engaged community around your channel through consistent publishing and strategic audience interaction. By the end, you'll have a comprehensive toolkit for channel growth and audience development. By the end of this course, you will be able to: - Optimize videos for discovery and engagement using YouTube-specific best practices - Build an active YouTube community through strategic content and interaction - Create effective YouTube Shorts that drive channel growth - Implement professional live streaming strategies for real-time audience engagement - Develop consistent content publishing workflows and management systems
Interactive Brokers
Monetary Measures, Economic Output and Corporate Profits
The amount of money and credit in economies, the growth of economies and the profitability of companies are important indicators of economic health. Money and credit help to drive economic activity. The rate of economic output shows the results of past economic activity while corporate profitability reflects the effectiveness of corporations. Taken together, these economic indicators help us determine where we’re going and where we are. In this course, we’ll learn about economic indicators that cover the central banking system, the government bond system, fiscal budgets, economic growth calculations and the importance of corporate profitability. Some of the indicators include the money supply, yield curve, gross domestic product and corporate profits. To facilitate a comprehensive understanding of essential concepts discussed, this course includes a series of practical examples, quizzes and reading materials.
Packt
Mastering Python for Data Science
Data Science has become one of the most sought-after fields in today’s data-driven world, and Python stands at its core. This course empowers learners to master the art of data science using Python—one of the most versatile programming languages for analyzing, visualizing, and interpreting data. Through hands-on learning and guided projects, learners will gain the practical skills to clean, manipulate, and analyze data efficiently. The course also explores essential machine learning techniques and visualization tools, enabling professionals to uncover hidden patterns and derive actionable insights. Unlike typical theory-heavy programs, this course bridges the gap between academic knowledge and industry application. It combines conceptual clarity with real-world case studies that reflect how data science operates in business and technology environments. This course is ideal for Python developers, data analysts, and aspiring data scientists seeking to enhance their analytical capabilities. A basic understanding of Python and foundational data science concepts will help learners maximize the course benefits.
Pearson
Certified Kubernetes Security Specialist (CKS): Unit 5
This course covers enforcing pod security, managing secrets, and using advanced container isolation tools like OPA Gatekeeper, GVisor, and Kata Containers. You’ll also learn to implement pod-to-pod encryption with Celium to secure service communication. By the end, you’ll know how to minimize vulnerabilities, control configurations, and protect your microservices—skills valuable for both the CKS exam and real-world security.
Coursera
Create a Database with the Modeling Tool in MySQL Workbench
In this project you will use the Modeling and Design Tool in MySQL Workbench to design and create a multiple-table relational database. As a DBMS (database management system), MySQL is used by many organizations for managing a variety of types and sizes of databases. MySQL Workbench acts as an integrated development environment allowing users to work with relational databases using a visual user interface rather than the command line. Hands-on activities include using the Modeling and Design Tool to draw a database design diagram, generating the database from that diagram, and then using MySQL Workbench features to load data into the database tables. You will also find an optional Challenge Task and an optional Capstone task for extra practice. 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.
Packt
Python Programming And Libraries for Data Science
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 comprehensive course, you will explore Python programming with a specific focus on libraries that power Data Science. You'll gain hands-on experience with essential Python libraries like NumPy, Pandas, Matplotlib, and Seaborn, and learn how to leverage these tools in data analysis and visualization. Through engaging examples and practical exercises, you'll understand how to efficiently handle data, perform calculations, and create stunning visualizations. You'll also delve into object-oriented programming (OOP), mastering key concepts such as classes, objects, inheritance, and polymorphism. The course will guide you step-by-step through the process of writing clean, modular code while developing your problem-solving skills. Along with OOP, you'll gain valuable insights into file handling and exception management, essential for creating robust applications in Python. The course is ideal for anyone interested in Data Science, whether you're starting your programming journey or looking to enhance your skills. It is beginner-friendly, but some prior knowledge of programming concepts is helpful. The hands-on approach ensures that you can immediately apply your new skills to real-world projects and build a strong foundation in Python. By the end of the course, you will be able to use Python libraries for data manipulation and visualization, implement object-oriented principles in code, handle files and exceptions effectively, and create dynamic Python programs for real-world data analysis tasks.