The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
Coursera
Analyze Jira: Find Your Open Work
Are you drowning in project notifications? Does opening your project management tool feel less like starting your day and more like opening a firehose of demands, comments, and status updates? You see a long, scrolling list of tasks—some assigned to you, some you’re merely mentioned in, others that are simply part of a project you’re associated with. You spend the first, most valuable hour of your day just trying to figure out what you’re actually supposed to be working on. This feeling of being constantly reactive, overwhelmed, and perpetually behind is one of the highest hidden costs in the modern workplace. It’s a state of digital chaos that leads to decision paralysis, context-switching, and a nagging anxiety that you might be missing something critical. This isn't a personal failing; it's a systemic one. We are given access to incredibly powerful work management systems like Jira, Asana, or Trello, but we are rarely taught how to manage the flow of information they create. We are taught to be passive recipients of work, waiting for tasks to be handed to us or for notifications to tell us what to do next. This passive approach is no longer sustainable. It’s time to take control. Find Your Open Work: Mastering Your Personal Queue is a beginner's guide to the single most powerful personal productivity feature of any modern work management system: its search engine. This course is built for any team member—from software developers and QA testers to marketing coordinators and project managers—who needs to transform a chaotic project backlog into a clear, prioritized personal to-do list. It’s not about learning a complex new software; it’s about learning to ask the right questions of the software you already use every day. This course will fundamentally shift your relationship with your work management tool. You will learn to move beyond passive scrolling and become an active, empowered user who can find the signal in the noise. We will guide you through the art and science of constructing targeted search queries that act like a precision instrument, cutting through the clutter to surface exactly what you need to see, when you need to see it. Our journey begins by deconstructing the anatomy of a powerful search. You will learn that every query is built from three simple components: Fields (like 'Assignee,' 'Status,' or 'Due Date'), Operators (like 'equals,' 'is not,' or 'is greater than'), and Values (like 'your name,' 'In Progress,' or 'this week'). By combining these building blocks, you can ask your system incredibly specific questions. You’ll move from vague keyword searches to precise, logical statements that yield immediate clarity. Next, you will master the art of applying filters to slice and dice your project data in strategically meaningful ways. We will explore scenario-based examples that mirror the real-world questions you face daily: - Finding Your Foundation: How do you construct the most fundamental query of all: "Show me every single task assigned directly to me"? - Filtering by State: How do you differentiate between the work you haven't started, the work you are actively doing, and the work that is waiting for someone else's review? You’ll learn to isolate your "To Do," "In Progress," and "Blocked" tasks to get a true picture of your workload. - Prioritizing with Urgency: How do you find all your high-priority tasks that are due by the end of this week? This is how you move from being busy to being effective. - Closing the Loop: How do you find all the tasks you created that have now been completed, so you can validate the work and close them out? Once you can filter with precision, you will learn how sorting transforms a simple list into an actionable plan. We will demonstrate how changing your sort order can completely change your perspective. Sorting by Due Date helps you manage deadlines. Sorting by Priority ensures you are always working on the most valuable items. Sorting by Last Updated helps you catch up on recent changes and comments. The final transformative step in this course is learning to save these powerful, customized queries. You will learn to create a personal dashboard of saved searches that act as your command center. Imagine starting your day and, instead of scrolling through a chaotic backlog, you click on a single link labeled "My Open Work Today." This instantly shows you a clean, prioritized list of exactly what you need to accomplish. You’ll create saved searches for "My Blocked Tasks," "Tasks Awaiting My Review," and "My Team's Completed Work," turning your project tool from a source of stress into a source of truth and clarity. By the end of this course, you will possess the essential skill to cut through the noise, eliminate decision fatigue, and make confident, informed decisions about what to work on next. This isn't just about finding your work; it's about taking ownership of your time, your focus, and your contribution to the team. You will be able to walk into any meeting and state with certainty what your priorities are, what progress you've made, and where you need help. This skill is a foundational element of professional maturity and is indispensable for anyone looking to grow their career, no matter what tool your team uses.
University of Minnesota
User Research and Design
In this course you will learn and practice techniques of user research and early UI design exploration. First, you will learn and practice several techniques for user research, including in-person research and survey and log-analysis techniques. Then, you will learn to analyze and deliver user research in forms that support UI design, including personas, use cases, tasks, and scenarios. Finally, you will learn and practice ideation techniques that start from user research and broadly generate potential design ideas.
Imperial College London
Design and Implementation of Digital Health Interventions
This course covers various themes around design, regulatory approaches, ethics, technology adoption, implementation and strategy as applied to digital health. These session cover areas to include data regulations, examples of data breaches in digital health, the challenges and opportunities of technology adoption and implementation with a focus on the non-adoption, abandonment, scale-up, spread and sustainability framework (NASSS Framework). The strategy part of this course focuses on understanding a simple strategy for digital health through PESTLE and SWOT analysis, and examples of their application in digital health.
Google Cloud
Serverless Data Processing with Dataflow: Foundations em Português Brasileiro
Este é o primeiro de uma série de três cursos sobre processamento de dados sem servidor com o Dataflow. Nele, vamos relembrar o que é o Apache Beam e qual é a relação entre ele e o Dataflow. Depois, falaremos sobre a visão do Apache Beam e os benefícios do framework de portabilidade desse modelo de programação. Com esse processo, o desenvolvedor pode usar a linguagem de programação favorita com o back-end de execução que quiser. Em seguida, mostraremos como o Dataflow permite a separação entre a computação e o armazenamento para economizar dinheiro. Além disso, você vai aprender como as ferramentas de identidade, acesso e gerenciamento interagem com os pipelines do Dataflow. Por fim, vamos ver como implementar o modelo de segurança ideal para seu caso de uso no Dataflow.
University of Illinois Urbana-Champaign
Discovering Dairy: What's in Your Milk?
This course offers a foundational introduction to lactation biology, focusing on the anatomy, development, and function of the mammary gland. Students will explore the processes of milk production, secretion, and removal, and examine the nutritional composition of milk—including fats, proteins, lactose, vitamins, and minerals. The course also covers milk’s role in human health, including infant development and lactose intolerance, as well as the significance of bioactive milk components. In the final module, learners will gain insight into mammary health, identifying common conditions like mastitis and edema, and exploring prevention strategies. Designed for learners from diverse backgrounds, this course provides a comprehensive overview of milk science and its biological and nutritional importance. This course is part of the College of ACES suite of online programs, including the graduate certificate, "Dairy Nutrition for Udder Success" that can be stacked toward an advanced degree in the College of ACES. To learn more about online programs from the College of ACES and explore ways to apply your Coursera work toward a degree program at the University of Illinois, visit ACES Online at acesonline.illinois.edu.
Google Cloud
Google Cloud でのバッチデータ パイプラインの構築
この中級コースでは、Google Cloud で堅牢なバッチデータ パイプラインを設計、構築、最適化する方法を学習します。基本的なデータ処理から一歩進んで、大規模なデータ変換と効率的なワークフロー オーケストレーションを確認します。この内容は、タイムリーなビジネス インテリジェンスと重要なレポートの作成に不可欠です。 実装に Apache Beam 用の Dataflow と Apache Spark 向け Serverless（Dataproc Serverless）を使用する実践的な演習を行い、パイプラインの信頼性の確保と効果的な運用を実現するために、データの品質、モニタリング、アラートに関する重要な考慮事項に対処します。データ ウェアハウジング、ETL / ELT、SQL、Python、Google Cloud のコンセプトに関する基本的な知識があることが推奨されます。
École Polytechnique
Initiation à la théorie des distributions
Une fonction discontinue peut-elle être solution d'une équation différentielle? Comment définir rigoureusement la masse de Dirac (une "fonction" d'intégrale un, nulle partout sauf en un point) et ses dérivées? Peut-on définir une notion de "dérivée d'ordre fractionnaire"? Cette initiation aux distributions répond à ces questions - et à bien d'autres.
LearnKartS
COBIT 2019 Framework Essentials
Gain one of today’s most in-demand enterprise skills with this powerful COBIT 2019 course designed for the future of IT governance. Begin with the core of Enterprise Governance of IT, and dive deep into how COBIT creates value for your organization’s business performance & risk management and learn how to evolve from COBIT 5 to COBIT 2019. Explore COBIT’s core model by delving into its governance principles, framework structure, goals, and design factors for transforming real-world governance systems. Understand how governance and management objectives link via goal cascading to tangible business performance. Become Proficient in COBIT Performance Management to measure processes, evaluate design effectiveness, ensure strong business cases, and implement structured implementation guidance. By the end, you’ll be able to design and implement enterprise IT governance with confidence. Perfect for IT leaders, consultants, & high-growth focused governance roles. Enroll now to move one step closer to being a reliable IT governance professional. Disclaimer: COBIT and ISACA are registered trademarks of ISACA. This course is not affiliated with, endorsed by, or accredited by ISACA.
Macquarie University
Risk governance: Manage the risks
All organisations must grapple with fundamental issues at the heart of governance: who are our stakeholders? What are their objectives? How can we ensure these objectives are met as effectively as possible? How can we ensure all legitimate stakeholders are treated fairly? Via structured learning activities (video lectures, quizzes, discussion prompts and written assessments) this course will teach you how to address these questions and how a sound governance structure and comprehensive risk management framework can support you and your organisation in achieving its objectives. You will consider contemporary ethical issues and devise practical responses to them, and finally, you’ll discover that your future ‘influencing’ challenge will be to encourage all members of your organisation to understand their role in serving your organisation’s stakeholders.
University of Colorado Boulder
Excel/VBA for Creative Problem Solving, Part 2
"Excel/VBA for Creative Problem Solving, Part 2" builds off of knowledge and skills obtained in "Excel/VBA for Creative Problem Solving, Part 1" and is aimed at learners who are seeking to augment, expand, optimize, and increase the efficiency of their Excel spreadsheet skills by tapping into the powerful programming, automation, and customization capabilities available with Visual Basic for Applications (VBA). In Part 2 of the course, learners will: 1) learn how to work with arrays and import/export arrays from/to Excel using VBA code; 2) learn how to work with text strings and write data to .txt files and import information from .txt files; 3) automate the import, modification, and consolidation of information from multiple worksheets into a central worksheet as well as the import of information from multiple workbooks to a central workbook; and 4) gain experience with creating professional user forms to interface with the user, perform advanced calculations, and manipulate data on the spreadsheet. Learners who have a foundational understanding of VBA code and programming structures can jump right into Part 2 of the course without taking Part 1 and use the screencasts in Part 1 as reference. Each module will introduce foundational and broad problems inspired by situations that you might encounter in the real world. To pass each module, you'll need to pass a mastery quiz and complete a problem solving assignment. This course is unique in that the weekly assignments are completed in-application (i.e., on your own computer in Excel), providing you with valuable hands-on training.
Packt
Advanced Tower Defense Mechanics and Customization
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. Unlock the full potential of your Tower Defense game by mastering advanced mechanics and customization techniques in Unity. This course provides hands-on experience with the latest Unity tools to help you fine-tune turret behaviors, create destructible enemies, and build immersive visual and sound effects. Whether you’re looking to enhance your game with sophisticated AI or introduce dynamic gameplay elements, you’ll gain the skills to develop a more engaging, professional Tower Defense experience. As you progress through the course, you'll dive deep into customizing turret properties, such as damage, range, and firing speed. You will also learn to create distinct enemy units with varying attributes and movement behaviors, enhancing gameplay strategy. With advanced tutorials on destructible enemies, you’ll implement health bars and improve turret shooting accuracy to create a more immersive, polished experience. The course introduces the concept of Scriptable Objects to store and manage game data efficiently, enabling smoother customization of game mechanics. You’ll also work with particle effects, sounds, and visual effects, including explosive death effects for enemies, enhancing the overall player experience. Additionally, the course walks you through the implementation of wave-based spawning and in-game economy systems, allowing you to adjust gameplay difficulty and reward systems dynamically. Designed for intermediate game developers, this course is perfect for those seeking to take their Tower Defense games to the next level. It is ideal for anyone who has a basic understanding of game development in Unity and wants to explore more advanced features for greater creativity and control. The course is an excellent fit for those who enjoy building interactive, detailed, and strategic games. By the end of the course, you will be able to create advanced tower defense mechanics, including destructible enemies, dynamic UI systems, and customizable turret and enemy behaviors, as well as integrate sophisticated visual and sound effects into your game.
Google Cloud
Troubleshooting with AI Using Cloud Assist Investigations
Cloud Assist Investigations is an AI-enabled tool for iterative troubleshooting in Google Cloud environments, and aims to help users troubleshoot common issues to find the root cause of problems that may occur when using Google Cloud services. This course equips DevOps, SRE, and platform engineers with the skills to effectively use Cloud Assist Investigations for streamlined troubleshooting of Google Cloud services. The training focuses on foundational knowledge of Cloud Assist Investigations, with the intent to reduce troubleshooting time and enhance overall operational efficiency for users of Google Cloud.
Coursera
Analyze and Highlight Cost Variances Effectively
In fast-moving business environments, variance analysis is more than just reporting — it’s strategic insight. This course equips finance and operations professionals to move beyond identifying differences between actual and standard costs and instead analyze, interpret, and communicate what those variances mean for business performance. You’ll calculate price, quantity, and mix variances using standard cost formulas, apply these concepts to real-world data templates, and learn to spotlight unfavorable variances that demand management attention. By the end, you’ll be ready to transform variance data into actionable intelligence for cost control and forecasting.
IBM
AI Workflow: Machine Learning, Visual Recognition and NLP
This is the fourth course in the IBM AI Enterprise Workflow Certification specialization. You are STRONGLY encouraged to complete these courses in order as they are not individual independent courses, but part of a workflow where each course builds on the previous ones. Course 4 covers the next stage of the workflow, setting up models and their associated data pipelines for a hypothetical streaming media company. The first topic covers the complex topic of evaluation metrics, where you will learn best practices for a number of different metrics including regression metrics, classification metrics, and multi-class metrics, which you will use to select the best model for your business challenge. The next topics cover best practices for different types of models including linear models, tree-based models, and neural networks. Out-of-the-box Watson models for natural language understanding and visual recognition will be used. There will be case studies focusing on natural language processing and on image analysis to provide realistic context for the model pipelines. By the end of this course you will be able to: Discuss common regression, classification, and multilabel classification metrics Explain the use of linear and logistic regression in supervised learning applications Describe common strategies for grid searching and cross-validation Employ evaluation metrics to select models for production use Explain the use of tree-based algorithms in supervised learning applications Explain the use of Neural Networks in supervised learning applications Discuss the major variants of neural networks and recent advances Create a neural net model in Tensorflow Create and test an instance of Watson Visual Recognition Create and test an instance of Watson NLU Who should take this course? This course targets existing data science practitioners that have expertise building machine learning models, who want to deepen their skills on building and deploying AI in large enterprises. If you are an aspiring Data Scientist, this course is NOT for you as you need real world expertise to benefit from the content of these courses. What skills should you have? It is assumed that you have completed Courses 1 through 3 of the IBM AI Enterprise Workflow specialization and you have a solid understanding of the following topics prior to starting this course: Fundamental understanding of Linear Algebra; Understand sampling, probability theory, and probability distributions; Knowledge of descriptive and inferential statistical concepts; General understanding of machine learning techniques and best practices; Practiced understanding of Python and the packages commonly used in data science: NumPy, Pandas, matplotlib, scikit-learn; Familiarity with IBM Watson Studio; Familiarity with the design thinking process.
IBM
AI Workflow: AI in Production
This is the sixth course in the IBM AI Enterprise Workflow Certification specialization. You are STRONGLY encouraged to complete these courses in order as they are not individual independent courses, but part of a workflow where each course builds on the previous ones. This course focuses on models in production at a hypothetical streaming media company. There is an introduction to IBM Watson Machine Learning. You will build your own API in a Docker container and learn how to manage containers with Kubernetes. The course also introduces several other tools in the IBM ecosystem designed to help deploy or maintain models in production. The AI workflow is not a linear process so there is some time dedicated to the most important feedback loops in order to promote efficient iteration on the overall workflow. By the end of this course you will be able to: 1. Use Docker to deploy a flask application 2. Deploy a simple UI to integrate the ML model, Watson NLU, and Watson Visual Recognition 3. Discuss basic Kubernetes terminology 4. Deploy a scalable web application on Kubernetes 5. Discuss the different feedback loops in AI workflow 6. Discuss the use of unit testing in the context of model production 7. Use IBM Watson OpenScale to assess bias and performance of production machine learning models. Who should take this course? This course targets existing data science practitioners that have expertise building machine learning models, who want to deepen their skills on building and deploying AI in large enterprises. If you are an aspiring Data Scientist, this course is NOT for you as you need real world expertise to benefit from the content of these courses. What skills should you have? It is assumed that you have completed Courses 1 through 5 of the IBM AI Enterprise Workflow specialization and you have a solid understanding of the following topics prior to starting this course: Fundamental understanding of Linear Algebra; Understand sampling, probability theory, and probability distributions; Knowledge of descriptive and inferential statistical concepts; General understanding of machine learning techniques and best practices; Practiced understanding of Python and the packages commonly used in data science: NumPy, Pandas, matplotlib, scikit-learn; Familiarity with IBM Watson Studio; Familiarity with the design thinking process.
Coursera
تصميم واجهة برمجة تطبيق ب Python Flask : إنشاء واجهة لمدونة
في الوقت الحالي، تعد القدرة على تصميم واجهات برمجة التطبيقات القوية والمعروفة ب APIs أو Application Programming Interfaces مهارة تفتح الأبواب أمام فرص لا حدود لها. سواء كنت مطورًا متمرسًا وتتطلع إلى توسيع مجموعة أدواتك أو مبتدئًا حريصًا على الغوص في عالم تطوير الويب، فإن هذا المشروع مصمم خصيصًا لتمكينك. في هذا المشروع سنقوم بإزالة الغموض عن فن تصميم واجهة برمجة التطبيق (API) باستخدام إطار عمل Python Flask الشهير، والمعروف ببساطته و مرونته وقابليته للتوسع. في هذا المشروع الذي يستغرق ساعة واحدة- سوف تتعلم: ١. كيفيه عمل HTTP وكيف تقوم بإرسال طلب باستخدام cURL. ٢. ما هو REST وكيف تقوم بإرسال طلب باستخدام Postman. ٣. كيفيه تصميم واجهه برمجه تطبيق احترافيه بالإضافه إلي افضل الممارسات التي يمكن اتباعها لتصميم الاستجابه العائده منها. ٤. كيفيه إنشاء نقاط نهايه endpoints في واجهه برمجه التطبيق. ٥. كيفيه انشاء اتصال مع قاعده بيانات MySQL لتخزين البيانات بشكل دائم في قاعده البيانات. ٦. استراتيجيات عمل إصدار لواجهه برمجه التطبيق لضمان التوافق مع الإصدارات السابقه مع السماح بالتحديثات والتحسينات المستقبليه. هذا المشروع هو حل لمدون او Blogger يريد نشر مقالاته بدون التقيد بالقيود التي تفرضها مواقع التواصل الاجتماعي ويريد السماح لاي تطبيق اخر ان يقوم بعرض تدويناته وبالتالي في حاجه لنشر نقطه نهايه أو endpoint في واجهه برمجه التطبيق API لكي تقوم باسترداد التدوينات. مهمتك كمهندس برمجيات هي ان تقوم بتصميم واجهه برمجه التطبيق API وانشاء نقاط النهايه endpoints وتخزين التدوينات بشكل دائم في قاعده بيانات MySQL وعمل اصدارات لواجهه برمجه التطبيق وهذا ما سنقوم بتنفيذه خلال المشروع. هذا المشروع موجه للمبتدئين وخلال المشروع ستكتسب المهارات الأساسية المتعلقة بتصميم واحهه برمجه تطبيق احترافيه API او Application Programming Interface وكذلك انشاء نقاط نهايه endpoints في واجهه برمجه التطبيق وانشاء اتصال مع قاعده بيانات MySQL للتخزين الدائم للبيانات وعمل اصدار لواجهه برمجه التطبيق وارسال طلبات HTTP لنقاط النهايه باستخدام curl و Postman. بنهايه المشروع سيكون عندك منصة تدوين متطورة مع إمكانات RESTful API المتكاملة وستكون قادر على إنشاء تجربة تدوين تتمحور حول المستخدم وغنية بالميزات. بالإضافة إلى ذلك، فهو يوفر واجهة برمجة تطبيق قوية للمطورين الذين يتطلعون إلى التكامل مع النظام الأساسي الخاص بك، مما يفتح إمكانيات الإضافات والتكاملات. لكي تجتاز المشروع لابد ان يكون عندك فهم أساسي للغه Python مثل اوامر استدعاء المكتبات import وانشاء المتغيرات والقواميس والدوال واساسيات البرمجة الشيئية وفهم أساسي للغه SQL الخاصه بقواعد البيانات مثل اوامر انشاء الجداول CREATE وادخال البيانات بالجداول INSERT والاستعلام عن البيانات في الجداول SELECT. من خلال إكمال هذا المشروع، ستكتسب خبرة قيمة في العمل باستخدام أدوات مثل Postman و cURL والتي يمكن أن تساعدك على اختبار نقاط النهايه endpoints بكفاءة أكبر خلال حياتك المهنية. ستتعلنم ايضا تصميم وتطوير واجهه برمجه التطبيق على سبيل المثال ، إذا كنت تعمل في مؤسسة تحتاج إلى تصميم وتطوير واجهه برمجه تطبيق API لنشرها لمطورين اخرين او استخدامها في اكثر من تطبيق او منصه، فيمكنك استخدام هذه المهارات لتنفيذها.