The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
Duke University
핀테크 법률 및 정책
성공적인 핀테크 기업이 되기 위해서는 혁신적인 기술은 물론 해당 비즈니스에 적용되는 법률 및 규제를 이해해야 합니다. 이번 강좌를 통해 그와 관련된 지식을 얻을 수 있습니다. 먼저 암호화폐, 암호화폐 공모, 온라인 대출, 지급 및 자산 관리 신기술, 금융 계좌 집계소에 관련된 중요한 법률, 규제 및 정책 사안에 대해 알아보겠습니다. 아울러 미국 규제 기관들이 금융 신기술의 등장에 어떻게 적응을 지속해 나가는지 알아보고, 한 특정 기관이 핀테크 기업이 제도권 은행이 될 수 있도록 하기 위해 제시한 방안을 살펴보겠습니다. 또한 미국의 은행 규제에 대한 기본 사항도 살펴보겠습니다. 이러한 신기술이 낯설게 느껴지더라도 걱정하실 필요는 없습니다. 근간이 되는 기술에 대한 높은 수준의 개요로 매 강좌 섹션을 시작할 것이기 때문입니다. 본 강좌는 주로 미국 내 핀테크 산업에 초점을 두고 있지만 모든 관련 법률 및 규제 사안을 다룰 수는 없습니다. 따라서 본 강좌를 법률적 조언으로 받아들여서는 안 됩니다.본 강좌는 핀테크 기업들이 다양한 부문에서 직면하게 되는 핵심적인 법률 및 규제 사안과 워싱턴 D.C. 및 전국 주도에서 진행 중인 중요한 정책 토론에 대해 알아보는 것을 목표로 합니다.
Logical Operations
Microsoft Excel for Office 365 (Desktop or Online): Part 3
Clearly, you use Microsoft® Excel® a lot in your role. Otherwise, you wouldn't be taking this course. By now, you're already familiar with Excel, its functions and formulas, a lot of its features and functionality, and its powerful data analysis tools. You are likely called upon to analyze and report on data frequently, work in collaboration with others to deliver actionable organizational intelligence, and keep and maintain workbooks for all manner of purposes. At this level of use and collaboration, you have also likely encountered your fair share of issues and challenges. You're too busy, though, to waste time scouring over workbooks to resolve issues or to perform repetitive, monotonous tasks. You need to know how to get Excel to do more for you so you can focus on what's really important: staying ahead of the competition. That's exactly what this course aims to help you do. This course builds on the foundational and intermediate knowledge presented in the Microsoft® Excel® for Office 365™ (Desktop or Online): Part 1 and Microsoft® Excel® for Office 365™ (Desktop or Online): Part 2 courses to help you get the most of your Excel experience. The ability to collaborate with colleagues, automate complex or repetitive tasks, and use conditional logic to construct and apply elaborate formulas and functions will put the full power of Excel right at your fingertips. The more you learn about how to get Excel to do the hard work for you, the more you'll be able to focus on getting the answers you need from the vast amounts of data your organization generates. Note: Most Microsoft 365™ users perform the majority of their daily tasks using the desktop version of the Office software, so that is the focus of this training. The course material will also enable you to access and effectively utilize many web-based resources provided with your Microsoft 365 subscription. This includes brief coverage of key skills for using Excel for the Web and OneDrive. Helpful notes throughout the material alert you to cases where the online version of the application may function differently from the primary, desktop version. This course may be a useful component in your preparation for the Microsoft Excel (Microsoft 365 Apps): Exam MO-210 and Microsoft Excel Expert (Microsoft 365 Apps): Exam MO-211 certification exams. This course is intended for students who are experienced Excel users and have a desire or need to increase their skills in working with some of the more advanced Excel features. Students will likely need to troubleshoot large, complex workbooks, automate repetitive tasks, engage in collaborative partnerships involving workbook data, construct complex Excel functions, and use those functions to perform rigorous analysis of extensive, complex datasets. To ensure success, students should have practical, real-world experience creating and analyzing datasets by using Excel. Specific tasks students should be able to perform include: creating formulas and using Excel functions; creating, sorting, and filtering datasets and tables; presenting data by using basic charts; creating and working with PivotTables, slicers, and PivotCharts; and customizing the Excel environment. In this course, you will: work with multiple worksheets and workbooks, share and protect workbooks, automate workbook functionality, use Lookup functions and formula auditing, forecast data, and create sparklines and map data. This course requires that you have Microsoft Excel installed on a Windows PC. The course setup instructions provided in the first module of the course go into more detail about the hardware and software requirements.
Google
Біти і байти комп’ютерної мережі
Цей курс має на меті детальний огляд принципу роботи комп’ютерних мереж. Ми розглянемо відомості про сучасні мережеві технології, протоколи, хмарні сховища, практичні заходи та способи усунення несправностей у мережі. Пройшовши цей курс, ви зможете: ● описати комп’ютерну мережу в контексті п’ятирівневої моделі; ● пояснити принцип роботи всіх стандартних протоколів, пов’язаних зі зв’язком TCP/IP; ● застосовувати потужні інструменти та засоби усунення несправностей у мережі; ● пояснити принцип функціонування мережевих служб, як-от DNS і DHCP, які забезпечують роботу комп’ютерних мереж; ● пояснити принцип хмарних обчислень і знатимете все про сервіси і хмарні сховища.
Amazon Web Services
Amazon DynamoDB Primer
This course introduces you to Amazon DynamoDB, the AWS service that provides a non-relational, key-value/wide-column and document database that delivers single-digit millisecond performance at any scale. It's a fully managed database with built-in security, backup and restore, and in-memory caching for internet-scale applications. This course introduces you to the service and its core features and capabilities. You will see how this service integrates with other AWS services and be introduced to important terminology and technology concepts. The course includes a demonstration of DynamoDB and provides an assessment to help you gauge how well you understood the concepts covered.
University of Michigan
The Basics of Rocket Science
Why are rockets so big? Is there gravity in space? How does a rocket engine even work? In this course, you’ll explore the major concepts of rocket science, including orbital dynamics, velocity, and different types of engines that help propel a rocket out of Earth’s atmosphere. Determine how rocket scientists use formulas and Newton’s laws to propel rockets off the ground and accelerate them to their destination. Explore how and why rockets have stages, including how rocket scientists choose between solid and liquid engines for rockets. With The Basics of Rocket Science, you’ll even get an inside look at how we might get humans to Mars, an advancement in rocket science that could change humanity's future.
University of Michigan
Negociación exitosa: Estrategias y habilidades esenciales (en español)
Todos negociamos diariamente. A nivel personal, negociamos con amigos, familia, propietarios, vendedores de autos y empleadores, entre otros. La negociación también es la clave del éxito comercial. Ninguna empresa puede sobrevivir sin contratos rentables. Dentro de una empresa, las habilidades de negociación lo pueden llevar a avanzar en su carrera. En este curso, aprenderá y practicará los cuatro pasos necesarios para lograr una negociación exitosa, con un módulo para cada paso: (1) Preparación: Planifique su estrategia de negociación (2) Negociación: Use las tácticas claves para el éxito (3) Cierre: Cree un contrato (4) Cumplimiento y evaluación: El juego final Para completar exitosamente este curso y mejorar su capacidad de negociar, deberá completar los tres pasos siguientes: (1) Mire los videos breves (que van de 5 a 20 minutos) de cada módulo. Los videos son interactivos e incluyen preguntas para evaluar su entendimiento de las estrategias y habilidades de negociación. Los videos se pueden acelerar o ralentizar para adaptarse al ritmo que prefiera escucharlos. Según sus horarios, puede ver los videos en unas semanas o verlos todos juntos. Un estudiante que vio el curso de una sola vez concluyó que "es tan bueno como Breaking Bad". (2) Complete la negociación del Módulo 6 para evaluar sus capacidad de negociación. Puede negociar con un amigo local o usar los Debates para encontrar un socio de otra parte del mundo. Su socio de negociación le brindará una devolución sobre sus capacidad de negociación. En el camino, puede resultarle útil utilizar esta aplicación móvil gratuita que está relacionada con el curso y contiene varias herramientas de planificación de la negociación. http://negotiationplanner.com/ (3) Tome el examen final. Para completar el curso exitosamente, debe responder correctamente el 80 % de las preguntas. Este examen es un examen de dominio, lo que significa que puede tomarlo las veces que quiera hasta que domine el material. Además, este curso incluye la opción de obtener un Certificado verificado (CV) a través de la verificación de su identidad y la finalización exitosa del curso. Un CV le proporciona un reconocimiento formal de sus logros en el curso e incluye el logo de la Universidad de Michigan. Si usted está considerando obtener un CV, debe completar el proceso de verificación antes de tomar el examen final. Puede elegir pagar los cargos asociados antes o después del examen. Para obtener más información acerca de los CV, visite: learner.coursera.help/hc/en-us/articles/201212399-Verified-Certificates El logo compuesto del curso se comparte con una licencia Creative Commons CC BY-SA (https://creativecommons.org/licenses/by-sa/2.0/) y fue creado con las imágenes proporcionadas por cortesía de Flazingo Photos (http://bit.ly/1zOylRm) y K2 Space (https://www.flickr.com/photos/k2space/14257556613/in/set-72157644732478432). This is a translated version. To join the original English version, visit this page: https://www.coursera.org/learn/negotiation-skills/
Google Cloud
Importing Data to a Firestore Database
In this lab you will upload existing data (a CSV file) to a Firestore serverless database in the cloud.
IBM
Generative AI: Elevate your Data Engineering Career
Data engineering processes have undergone an amazing transformation since the advent of Generative AI. In this course, you will explore the impact of generative AI on data engineering. You as a data engineer can use Generative AI to enhance productivity by introducing innovative ways to deliver projects. Data engineering is responsible for building strong data pipelines, managing data infrastructure, and ensuring high-quality data evaluation. This course is suitable for existing and aspiring data engineers, data warehousing specialists, and other data professionals such as data analysts, data scientists and BI analysts. You will learn how to use and apply generative models for tasks such as architecture design, database querying, data warehouse schema design, data augmentation, data pipelines, ETL workflows, data analysis and mining, data lakehouse, and data repositories. You will also explore challenges and ethical considerations associated with using Generative AI. Demonstrate your new generative AI skills in a hands-on data engineering project that you can apply in your real-life profession. Then, complete your final quiz to earn your certificate. You can share both your project and certificate with your current or prospective employers.
Coursera
Get Started with Facebook Ads Manager
By the end of this project, learners will know how to get started with Facebook Ads Manager. According to Facebook, “Ads Manager is a Facebook tool that lets you create and manage your Facebook ads. You can view, make changes and see results for all your Facebook campaigns, ad sets and ads. Go to Ads Manager.” 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.
Interactive Brokers
Business and Consumer Activity and Confidence (US)
This course explores key economic indicators related to business and consumer activity in the United States. It focuses on understanding metrics like the Consumer Confidence Index (CCI), business sentiment surveys, and their impact on the broader economy. Through this course, participants will learn how these indicators influence market trends, economic policies, and investment strategies. Explore insights into how investors can use data on consumer and business confidence to predict market behavior and make informed trading decisions. To facilitate a comprehensive understanding of essential concepts discussed, this course includes a series of practical examples, quizzes and reading materials.
University of North Texas
College English Prep
The College English Prep MOOC is targeted at students preparing to enter college and who need to take the English and Writing Placement Exams. Information in this course is applicable to all students who take the CollegeBoard Accuplacer Exam. However, there is information in the first module that is specifically tailored to Texas students because of initiatives set forth by the Texas Higher Education Coordinating Board.
Maven Analytics
Microsoft Copilot for Excel: AI-Powered Data Analysis
This is a hands-on, project-based course designed to help you leverage Copilot in Microsoft Excel to solve real-world data analytics problems. We’ll start by reviewing Microsoft Copilot’s basic features and limitations, compare strengths and weaknesses against GenAI tools like ChatGPT, and get you up and running with Copilot for Microsoft 365 on your machine. From there, we’ll dive into each of Copilot’s core use cases for data management and analysis. You’ll practice adding new formula columns using natural language, applying conditional formatting rules to highlight key data points, and analyzing data to find insights using pivot tables and charts. Last but not least, we’ll showcase how to use Copilot’s generative AI engine for more advanced use cases, including writing dynamic array formulas and generating Python code within Excel. Throughout the course, you’ll play the role of an HR Admin at ACME Corporation, a global manufacturing company. Using the skills you learn throughout the course, you’ll manipulate employee data, monitor performance metrics, and make data-driven recommendations to your HR supervisor. If you're an Excel user looking to add Copilot to your data analytics workflow, this is the course for you!
Simplilearn
Generative AI Course in Software Testing and Documentation
This Generative AI in Software Testing, Security, and Documentation course equips you with the skills to automate critical stages of the software development lifecycle. Begin with AI-powered software testing—learn how to generate test cases automatically and detect code vulnerabilities across multiple programming languages. Understand how AI helps identify and fix security flaws in real time. Progress to documentation automation using Generative AI tools to create accurate, consistent project and API documentation. Explore how AI supports end-to-end documentation for full-stack applications with hands-on demos. To be successful in this course, you should have a basic understanding of software development practices, programming concepts, and technical documentation. By the end of this course, you will be able to: - Generate test cases and identify vulnerabilities using GenAI - Apply AI to fix security issues across diverse codebases - Automate API and project documentation with AI tools - Create full-stack software documentation using GenAI workflows Ideal for QA engineers, developers, and technical writers.
Skillshare
UX for Augmented Reality: An Introduction for Designers
Design immersive experiences with confidence in UX for Augmented Reality: An Introduction for Designers by Nuria Quero. By the end of this course, you will be able to define key AR concepts and device types, apply core UX principles such as presence, agency, and affordance to 3D environments, and outline a clear UX strategy for an AR brief—including interaction, onboarding, and basic user testing considerations. This course demystifies augmented reality by bringing scattered information into one structured journey. You’ll move from understanding what AR is and how it works, into the foundations of UX for AR, and finally into designing within 3D space—exploring field of view, 2D vs. 3D interfaces, interaction patterns, and error management. Whether you’re a UX/UI designer curious about immersive tech, a product designer exploring spatial experiences, or a creative looking to enter AR, this class will help you approach projects with clarity and confidence. To be successful, you should have a basic understanding of UX design principles and digital product workflows. No prior AR experience is required—just curiosity and a willingness to think beyond the screen.
LearnQuest
Advanced Revenue Growth and Strategic Sales Execution
This advanced course equips learners with the strategic skills to drive business growth through innovation in sales strategy, complex deal negotiation, and the leveraging of AI and analytics. It emphasizes customer-centric approaches, market adaptation, and sustainable account growth critical for the fast-paced and competitive environments of India and the USA.
Coursera
Evaluating LLM Performance and Efficiency
This comprehensive course is for product managers, ML engineers, and technical leads responsible for transforming LLM concepts into reliable, cost-effective production services. In today's AI-driven landscape, building a functional model is only the beginning. You will learn the complete framework for measuring, documenting, and optimizing LLM applications to ensure that they deliver real business value efficiently and consistently. The course begins by grounding you in product-centric development, teaching you to create a clear Product Requirements Document (PRD) that defines scope, MVP features, and success metrics. You'll evaluate features against acceptance criteria to identify gaps and validate user requirements. You will evaluate Zero-Shot, Few-Shot, and Chain-of-Thought prompt patterns and develop runbooks for vector index management. You will learn to analyze compute-spend reports to propose concrete cost-reduction strategies, such as model quantization, and use value-stream mapping to identify and eliminate inefficiencies in your development and release pipelines.