The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
Coursera
GenAI for Cash Flow Managers: Optimizing Liquidity Planning
Are you a finance leader seeking to optimize cash flow in today's dynamic business environment? Imagine mastering cutting-edge AI tools to revolutionize your cash flow management – without writing a single line of code. This action-oriented course, "Master AI-driven Cash Flow Optimization," is designed to empower cash flow managers like you to harness the power of generative AI. We'll demystify the cash flow management cycle and pinpoint strategic opportunities for AI integration. You'll learn essential prompting techniques specifically tailored for cash flow forecasting, receivables and payables automation, and beyond. Discover and explore key AI tools – both ready-made solutions and customizable options – and witness live demonstrations showcasing their practical application. Finally, we'll address crucial aspects of risk management and ethical considerations in AI implementation, equipping you with best practices for the future of AI-powered finance. This course is designed for finance professionals responsible for managing and optimizing cash flow within their organizations. Ideal participants include Corporate Treasury Managers, FP&A Directors, Accounts Receivable/Payable Supervisors, and Financial Controllers who are seeking to modernize their financial operations. The course equips them with practical AI-driven tools and strategies to enhance forecasting accuracy, automate workflows, and improve financial decision-making in dynamic business environments. To ensure a successful learning experience, participants should have a solid understanding of cash flow statements and hands-on experience with accounting or ERP systems. A foundational knowledge of AI, including familiarity with tools like ChatGPT or Microsoft Copilot, is also recommended. These prerequisites will help learners effectively engage with AI concepts and apply them within real-world financial contexts. By the end of the course, learners will be able to analyze AI applications in finance and assess their impact on cash flow optimization in key areas like AR, AP, and inventory. They will develop and implement AI-powered dashboards and workflows using low-code tools to automate financial processes and improve forecasting. Learners will also design risk mitigation strategies to navigate uncertainties and potential biases in AI operations. Finally, they will evaluate AI models to ensure alignment with standards such as ASC 230 and IFRS 7, ensuring regulatory compliance and transparency in financial reporting.
Coursera
Uncover Product Insights: Analyze Engagement Metrics
Master the engagement metrics and statistical monitoring techniques that distinguish high-performing product teams from those flying blind. This course tackles two critical analytical challenges: interpreting DAU/WAU stickiness ratios that reveal true user loyalty, and implementing control chart systems that detect performance declines before they escalate into business crises. This Short Course was created to help data analysis professionals accomplish systematic interpretation of user engagement metrics and implementation of statistical monitoring systems that transform reactive reporting into proactive performance management. By completing this course, you'll be able to move beyond surface-level user counts to engagement quality metrics that predict product success. You'll transform from reporting historical numbers to providing early warning systems that protect product performance—calculating stickiness ratios that Meta uses across 3 billion users and applying the same statistical process control methods that Netflix leverages for enterprise-scale monitoring. By the end of this course, you will be able to: Understand the formulas and contextual benchmarks for DAU/WAU stickiness Analyze control charts to detect significant declines in session-depth metrics This course is unique because it bridges advanced statistical methods with practical product analytics workflows, using real-world examples from Meta, Netflix, Spotify, and other industry leaders to show how engagement insights drive strategic business decisions. To be successful in this course, you should have a background in basic statistical concepts, familiarity with product performance metrics, and Python scripting fundamentals.
EDUCBA
Analyze and Apply Swift Properties and Memory Management
By the end of this course, learners will be able to analyze Swift property types, apply property behaviors, and manage application memory effectively using Automatic Reference Counting (ARC). They will develop the ability to design safer, more efficient Swift code by selecting appropriate property patterns and resolving memory management issues such as strong reference cycles. This course benefits learners by bridging the gap between Swift language fundamentals and real-world application performance considerations. Instead of treating properties and memory management as isolated topics, the course integrates them into a cohesive learning path that reflects how Swift applications are actually built and optimized. Learners gain practical insight into how stored, lazy, computed, and observed properties interact with ARC at runtime. What makes this course unique is its concept-to-runtime approach: learners first master how data is defined and accessed, then progress to understanding how Swift manages that data in memory. Through structured modules, graded quizzes, and practice assessments, learners build confidence in writing predictable, leak-free Swift code. This course is ideal for developers aiming to strengthen their core Swift expertise and write production-ready applications with improved stability and performance.
Coursera
Mastering Data Analysis with Pandas: Learning Path Part 4
In this structured series of hands-on guided projects, we will master the fundamentals of data analysis and manipulation with Pandas and Python. Pandas is a super powerful, fast, flexible and easy to use open-source data analysis and manipulation tool. This guided project is the fourth of a series of multiple guided projects (learning path) that is designed for anyone who wants to master data analysis with pandas. 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
Game Deployment and Final Touches
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. Put the finishing touches on your game development skills in this comprehensive course focused on optimizing and deploying your game. From lighting and particle effects to sound design and final gameplay enhancements, this course will guide you through the final stages of your game creation process. Learn how to perfect visuals with reflection probes, fine-tune particle effects for explosions and fire, and design unique soundscapes that immerse players in your game world. You’ll also dive into creating a polished user experience by building main menus, scene transitions, and incorporating continuous background music. Additionally, this course covers advanced concepts like post-processing effects and implementing realistic combat sounds, including blood splatter and zombie noises. To further elevate your game, you’ll explore extra challenges such as creating custom title screens, victory music, and player lives management systems. Designed for game developers who want to take their project from prototype to final product, this course equips you with all the knowledge needed to optimize your game’s visuals, sound, and interactive elements before deployment. This course is perfect for developers looking to refine their game development projects and bring their games to life. It’s suited for individuals who have completed basic game development and want to focus on polishing and deploying their game. By the end of the course, you will be able to build, optimize, and deploy your final game with engaging visuals, sound, and user-friendly interfaces.
Howard University
Introduction to Linear Algebra and Python
This course is the first of a series that is designed for beginners who want to learn how to apply basic data science concepts to real-world problems. You might be a student who is considering pursuing a career in data science and wanting to learn more, or you might be a business professional who wants to apply some data science principles to your work. Or, you might simply be a curious, lifelong learner intrigued by the powerful tools that data science and math provides. Regardless of your motivation, we’ll provide you with the support and information you need to get started. In this course, we'll cover the fundamentals of linear algebra, including systems of linear equations, matrix operations, and vector equations. Whether you’ve learned some of these concepts before and are looking for a refresher or you’re brand new to the ideas we’ll cover, you’ll find the materials to support you. Let's get started!
Coursera
Craft & Review Docs
Craft & Review Docs is a practical course for learners who already work in or alongside technical environments and want to improve the quality, accuracy, and reliability of documentation. The course focuses on reviewing and maintaining technical content such as API guides, internal platform documentation, and developer-facing references. Learners practice identifying outdated or inaccurate information, embedding code snippets and diagrams appropriately, and recognizing the early signals that documentation is drifting out of sync with the systems it describes. Through realistic scenarios, the course emphasizes judgment and reasoning over writing mechanics, helping learners understand why documentation becomes unreliable and how to prevent that from happening. This course assumes familiarity with basic technical concepts, such as APIs, software environments, or the software development lifecycle. It is best suited for technical writers, developers, product managers, or others who regularly interact with technical systems and are responsible for keeping documentation accurate, trustworthy, and production-ready.
28DIGITAL
System Validation (3): Requirements by modal formulas
System Validation is the field that studies the fundamentals of system communication and information processing. It allows automated analysis based on behavioural models of a system to see if a system works correctly. We want to guarantee that the systems does exactly what it is supposed to do. The techniques put forward in system validation allow to prove the absence of errors. It allows to design embedded system behaviour that is structurally sound and as a side effect forces you to make the behaviour simple and insightful. This means that the systems are not only behaving correctly, but are also much easier to maintain and adapt. ’Requirements by modal formulas' is the third course that shows you how to specify requirements for the automata in order to establish the correct relation between the requirements and the behaviour of the system. Reading material. J.F. Groote and M.R. Mousavi. Modeling and analysis of communicating systems. The MIT Press, 2014.
Universidad Austral
Educación en Contextos Rurales: Perspectivas en América Latina
Este curso te permitirá comprender la educación en contextos rurales de América Latina y los desafíos que plantea en la actualidad. A partir de las estadísticas actuales y literatura reciente, se caracterizará esta modalidad educativa, para identificar sus fortalezas y la potencialidad de inspirar, a partir de ellas, mejoras en otros contextos educativos. Este curso fue diseñado por las fundaciones Bunge y Born y Perez Companc, en el marco de su Programa Sembrador, junto con la Universidad Austral. Es el primero de los cuatro cursos que conforman el Programa Especializado en Educación Básica en Contextos Rurales, que te permitirá comprender qué es la educación en contextos rurales, cómo se gestiona, cuál es el rol de la comunidad en la escuela, y analizar algunos casos de estudio.
Rutgers the State University of New Jersey
Practical Finance for Entrepreneurial Creatives
Practical Finance for Entrepreneurial Creatives Ever dream of running your own business? You’ll need a solid idea, of course. Plus, enthusiasm, energy, perseverance...and financial know-how. In this one-of-a-kind course designed for non-business majors with entrepreneurial aspirations, you will learn how the personal is truly the foundation for the professional—how the same principles that govern good personal financial management are directly applicable to and a critical success factor for whatever entrepreneurial venture you may have in mind. Beginning with the personal financial management-side of the equation, the course videos will take you behind the financial institutional scene to show you how to: Develop personal and household budgets and manage cash flow Acquire, manage and protect consumer credit products including loans, leases, credit and debit card transactions Develop saving and investment strategies and plan for housing and auto purchases, rentals and leases Evaluate personal, property and healthcare insurance products and overcoming financial adversity With that solid foundation laid, you will then see how the fundamental concepts of personal financial management translate into an entrepreneurial setting as you learn how to: Assess a venture’s feasibility and the entrepreneur’s ability to properly guide its development Select the right legal, accounting, and talent management representation and support, and developing and monitoring business, strategic and operating plans and budgets for businesses and freelance activities Manage risks, optimizing organizational designs and safeguarding intellectual property Arrange for the right type of financing and investment capital for your venture, addressing the unique challenges of and negotiating practical solutions to financial adversity and reaping the financial harvest: selling, liquidating and transferring ownership interests Develop a draft business plan for the venture you have in mind The course also includes a series of self-assessment exercises with an answer key, an optional capstone project for those who are contemplating (or have already begun) an entrepreneurial venture, and an optional series of contemplative questions that are drawn from the digital text, Practical Finance – A Straightforward Guide to Personal and Entrepreneurial Finance. The 6th edition, which is available on Amazon Links to an external site., is used extensively in the “live” version of the Rutgers course. It contains additional content and hundreds of links to freely available resources including reference material, topical articles and financial calculators. One last note: A scant few of the videos reference matters--such as those involving tax law and the Affordable Healthcare Act--that have evolved with the passage of time and subsequent legislation. The digital text reflects these changes.
Universidad Nacional Autónoma de México
¿Igualdad en el juego? Deporte con perspectiva de género
Quien egresa identificará las prácticas y narrativas del deporte actual que producen desigualdades de género. Reconocerá la importancia de generar las condiciones propicias para sostener espacios libres de violencia por razones de sexo y género, así como la necesidad de respetar los derechos humanos y las recomendaciones internacionales, nacionales e institucionales, cuyo propósito es la igualdad de género en el ámbito deportivo.
University of Colorado Boulder
The Little Stuff: Energy, Cells, and Genetics
In this course, we will explore the smaller side of biology: molecular biology. We’ll cover basic topics including cell biology and how cells can go “rogue” and turn into cancer, how energy from the sun is transferred to fuel our bodies, basics of genetics and inheritance, and genetic technologies. At the end of this course, we will discuss ethical and moral implications of several exciting and new genetic technologies.
Google Cloud
Enhancing User Interactivity in Looker with Liquid
This is a self-paced lab that takes place in the Google Cloud console. In this lab you will use Liquid parameters and templated filters to enhance interactivity by users in Looker.
Google Cloud
Managing Google Workspace 日本語版
「Managing Google Workspace」は、Google Workspace Administration シリーズの 2 つ目のコースです。 このコースでは、Gmail、カレンダー、ドライブとドキュメントなどの Google Workspace コアサービスに焦点を当てます。サービスのさまざまな設定と、それらの設定をすべてのユーザーまたは一部のユーザーに対して有効にする方法を学習します。また、Google の電子情報開示サービスである Google Vault について学習します。さらに、管理コンソールで利用できるさまざまなレポートと、それらのレポートで情報を検索、フィルタする方法を学習します。最後に、Google Workspace で複数のドメインを使用する方法、アカウントに新しいドメインを追加する方法を学習します。 前提条件 「Introduction to Google Workspace Administration」のコースを完了している必要があります。
University of Pittsburgh
Distributed Systems and Web Services
Develop the technical foundation to design and implement scalable, interconnected cloud systems. In this course, you’ll explore distributed architectures and web service design that power today’s high-performance applications. Through hands-on lessons, you’ll learn how distributed systems manage computation, storage, and communication across multiple machines, and how RESTful APIs enable seamless data exchange between services. You’ll also gain experience deploying applications using virtualization and cloud storage technologies. By the end of the course, you’ll be able to analyze distributed architectures, build and test web services using Flask, and apply containerization concepts with Docker. You’ll understand how cloud components integrate to create flexible, reliable, and scalable systems. Designed for learners seeking to expand their cloud development and systems engineering skills, this course bridges theory and practice through real-world use cases and guided coding exercises, preparing you for advanced studies or roles in cloud computing, backend development, or systems design.
Goodwill Industries International
Career Support Community and Resources
As you’ve explored a role as a Career Coach or Navigator in the preceding courses in this program, you’ve gained skills and knowledge about the profession and how to help clients find fulfilling jobs that allow them to earn a good living. This final course in the Career Coach and Navigator Professional Certificate will explore how the changing technology landscape affects the career landscape and what to do about it, develop skills for virtual coaching and career fairs, work with community organizations to develop referral relationships, understand funding sources, and complete a capstone project that will help you prepare for the role of a Career Coach or Navigator. By the end of the course, you will be able to: 1. Research and act on technology trends. 2. Develop computer application skills for virtual coaching. 3. Engage community partners and businesses to identify resources. 4. Identify career development opportunities for Career Coaches and Navigators. 5. Complete a capstone project. To be successful in this course, no prior experience with career coaching or navigation is required; but we recommend completing the previous courses in the program so you can build on the knowledge and skills from those courses here.