The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
Microsoft
Enterprise Power BI: Deployment, Security, and Integration
This course focuses on enterprise-level Power BI implementation, covering data integration with Azure services, security measures, governance frameworks, and deployment strategies. Participants will learn to implement Row-Level Security, manage tenant settings, establish governance models, and create deployment pipelines. The course also explores collaborative development workflows and integration with Microsoft Fabric and other Azure data services, preparing learners to implement comprehensive analytics solutions at scale. Through hands-on learning, participants will master the design of scalable Power BI architectures tailored to enterprise requirements. The curriculum emphasizes strategic decision-making in selecting optimal deployment models, structuring workspaces for maximum efficiency, and organizing content to support organizational workflows. Learners will gain practical experience integrating Power BI with collaboration platforms like SharePoint and Microsoft Teams, enabling seamless analytics access across the organization. A key focus is establishing robust environment management practices, including the configuration of separate development, testing, and production environments to ensure reliable, controlled deployments. Designed for intermediate-level business intelligence professionals, data analysts, and BI specialists with foundational SQL and visualization skills, this course enables participants to advance from basic Power BI use to enterprise-scale architecture and deployment. By course completion, participants will possess the expertise to architect and implement enterprise-grade Power BI solutions that align with business objectives and scale effectively.
University of Michigan
مقدمة عن لغة HTML5
يبدو الأمر كما لو أنه باستطاعة الجميع إنشاء موقع ويب وذلك بفضل وجود عدد متزايد من البرامج التي تستخدم البرمجيات. ولكن ماذا لو كنت تود فعلًا معرفة طريقة إنشاء الصفحة؟ توجد كتب دراسية ومصادر إلكترونية جيدة لتعلم تصميم مواقع الويب ولن غالبية هذه المصادر تستلزم وجود قليل من المعرفة السابقة. هذا المساق مُصمم بغية مساعدة الشخص المبتدئ الذي يود اكتساب الثقة وجني المعرفة. سنعمل على اكتشاف الفكرة (ماذا يحدث فعلًا عندما تنقر على رابط في صفحة ويب ما؟ والجزء العملي (ما الذي يلزمني لإنشاء صفحة ويب خاصة بي؟) والجزء الذي يتم إغفاله (لدي صحفة، ما الذي سأفعله الآن؟). سينصب التركيز بشِدة طيلة المساق على التقيد بالمعايير النحوية لأغراض التحقق والمعايير الدلالية لتشجيع إمكانية الوصول على نطاق واسع بالنسبة للمستخدمين من ذوي الهِمم. الكتاب الدراسي الذي نستخدمه متوفر على شبكة الإنترنت، "الرابط المفقود": مقدمة عن تصميم مواقع الويب وبرمجتها من قبل "مايكل مينديز" من موقع www.opensuny.org. سيروق هذا المساق لطائفة كبيرة من الأشخاص، لا سيما أولئك الراغبين في تلقي وصفٍ مستفيضٍ عن المبادئ. لا توجد أي شروط لهذا المساق ويُفترض أن الطلاب يفتقرون إلى مهارات سابقة في مجال البرمجة أو خبرة سابقة في مجال تكنولوجيا المعلومات. سيُختتم هذا المساق بمشروع نهائي صغير يستلزم إنجاز صفحة بسيطة جدًا بها روابط وصور. ينصب تركيز هذا المساق على المبادئ وليس الشكل. بإمكانك الاطلاع على عيّنة صفحة نهائية على رابط http://intro-webdesign.com/html5-plain.html. وهذا هو المساق الأول في تخصص تصميم مواقع الويب للجميع. ينصب تركيز المساقات التالية على المهارات الرائجة لتصميم صفحة بلغة CSS3 وإضافة عملية التفاعل من خلال استخدام لغة البرمجة جافا سكريبت وتعزيز عملية إعداد الأنماط عن طريق استخدام التصميم سريع الاستجابة. بإمكانك الاطلاع على عينة موقع لأجل المساق المتقدم على رابط http://intro-webdesign.com/
Adobe
Prompting for Generative AI
Unlock your creative potential by learning to communicate fluently with generative AI tools like Adobe Firefly. This course helps you develop “prompting for generative AI”, the art of crafting clear, expressive instructions that guide AI to produce high-quality, visually compelling results. Through hands-on exercises, you’ll experiment with text-to-image generation, refine your prompts for clarity and style, and analyze real-world examples to understand how wording shapes output. Along the way, you’ll strengthen your creative direction, storytelling, and visual communication skills. Whether you’re designing for clients or pursuing personal projects, you’ll learn to collaborate with AI confidently and purposefully, using prompts as your new creative medium.
Insper
Introdução ao Marketing Analítico
Público-Alvo Profissionais, estudantes e interessados da área de Marketing que desejam conhecer os fundamentos básicos de Marketing Analítico e sua aplicação prática. Objetivo do Curso O curso tem como objetivo central introduzir o conceito de Marketing Analítico e apresentar de forma simplificada e prática algumas técnicas, de modo que o participante possa avaliar e recomendar decisões e ações em Marketing baseadas em análise de dados. Objetivos de Aprendizagem Ao final do curso o aluno será capaz de: • Explicar a importância de definir e utilizar métricas em Marketing. • Desenvolver métodos de levantamento de dados primários e secundários. • Desenvolver hipóteses testáveis inferindo causalidades. • Segmentar o mercado com base no comportamento do consumidor. • Gerar insights para o posicionamento de marca. • Suportar a tomada de decisões em Marketing com base em fatos e dados. Dedicação e Carga-Horária Cinco módulos temáticos de aproximadamente 3h cada, totalizando 15h. Cada módulo tem duração estimada de uma semana. Assista ao vídeo de divulgação do curso: https://youtu.be/FvtgLAW_s8Y
Coursera
C++ Data Structures in the STL
In this project you will read weather data from a file and populate a C++ Vector with the file data. The data is then uniquified in a Set data structure and stored in a Map for accessing data by year. C++'s standard template library or STL contains data structures or containers that are built for efficiency. They are used to store and retrieve data in various formats. A list such as a Vector can be used in place of an array to contain data where the size cannot be determined ahead of time. A List is like a Vector, except elements can be more quickly added and deleted from it, since no shifting needs to occur. A Map is used to quickly look up a value based on a key rather than a numerical index, for example, to look up a phone number based on a key containing a person's name. A Set may be used to remove duplicates from a list, simply by assigning the data to it. 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.
Johns Hopkins University
Données au service de la santé de la population
Dans ce cours, vous apprendrez les méthodologies qui soutiennent l’utilisation réussie des données dans le but de renforcer les programmes et les politiques de santé publique. Des experts du monde entier définiront et expliqueront ce que sont les données au niveau de la population, présenteront le cycle de la génération à l’utilisation des données et expliqueront d’autres considérations pour une utilisation réussie des données pour la santé de la population. Vous apprendrez également comment les données sur les services de santé peuvent être utilisées pour éclairer la prise de décision au niveau de la population, et comment appliquer une dimension de genre et d’équité à ces systèmes de données pour s’assurer qu’ils répondent aux besoins des populations. L’objectif principal de ce cours est de soutenir et d’améliorer l’utilisation des données pour éclairer les politiques. Le cours est le fruit d’une collaboration entre de multiples partenaires, dont Vital Strategies, la Fondation des Centres de contrôle et de prévention des maladies (CDC), la Johns Hopkins Bloomberg School of Public Health et l’Organisation mondiale de la Santé. Ce cours a été financé par Bloomberg Philanthropies et co-financé par le gouvernement australien et la Fondation Bill et Melinda Gates.
L&T EduTech
Power System Modelling and Fault Analysis
This course is designed to provide a detailed description of modeling of power system components and analyze of various types of symmetrical and unsymmetrical faults occurring in a power system network. By the end of this course, you will be able to: • Develop a comprehensive understanding of the structure and nature of an electrical grid system, issues faced in grid operations and types of grid interconnections. (BL2) • Draw the single line diagram representation of a three-phase power system using standard symbols. (BL3) • Develop the per unit impedance and reactance diagram from a given single line diagram of a power system network. (BL3) • Model the various power system components namely generator, transformers, and transmission lines for equivalent circuit representation for further analysis and investigation. (BL4) • Perform the analysis of power system when subjected to symmetrical or unsymmetrical faults based on Thevenin’s circuit representation and as a outcome design as suitable protection scheme by sizing the Circuit Breaker and Fuse. (BL4) • Elucidate the concept of symmetrical component transformation in unsymmetrical fault analysis. (BL3) This course provides a specialized focus on power system modeling and fault analysis supported with realistic industry test cases. The course stands out for its hands-on ETAP demonstrations, which is an industrial software used in power grid sectors, providing learners with practical skills in the field of power system design and analysis. Additionally, it touches upon the various details involved in the modeling of power system components and short circuit studies, catering to real time scenarios and case studies. To be successful in this course, you should have a background in basic electrical engineering principles, including knowledge of circuit analysis, electromagnetism, mathematical modelling and transmission and distribution of electrical power. Familiarity with any simulation packages such as MATLAB, POWER WORLD will be beneficial for hands-on exercises. By enrolling in this course, participants will not only gain theoretical knowledge but also practical skills that are directly applicable in the field of power system analysis and design Whether you're a student aspiring to enter the industry or a professional seeking to deepen your expertise, this course offers a unique blend of theoretical insights and hands-on applications, equipping you with the tools to excel in this dynamic field.
Skillshare
Name Your Brand & Design a Strong Logo with ChatGPT + Canva
Are you ready to supercharge your branding process with AI? In this class, join me, Ronny Hermosa, and I’ll show you how to harness the power of ChatGPT and Canva’s AI tools to name your business and create a memorable logo—all without feeling like AI is doing the work for you. What You’ll Learn - AI Brainstorming Basics: Use ChatGPT as a creative partner for generating business name ideas and visual concepts - Color & Visual Research: Learn how to tap into Canva’s library to find inspiration for your brand’s color palette and style - Logo Generation with Text Prompts: Draft, refine, and perfect prompts to create eye-catching logos with tools like Canva’s Dream Lab and DALL·E - Streamlining Your Branding Process with AI: See how combining AI insights with human creativity helps you develop your brand identity much faster, without feeling stuck at any point Who This Class is For - Freelancers and creative entrepreneurs looking to develop a strong brand identity - Artists, illustrators, and designers eager to integrate AI into their workflow - Anyone curious about leveraging ChatGPT or generative AI in general to streamline and enhance their creative process Why Take This Class? - Practical, Hands-On Approach: Watch me step-by-step as I navigate ChatGPT and Canva, so you can do it yourself, for your own business, without any of the guesswork - A Fresh Perspective on AI: Shift your mindset from “AI is competition” to “AI is a powerful sidekick” by discovering how these tools can enhance, not replace, your creativity - Designed for All Skill Levels: From newbies dipping their toes into branding to seasoned creatives wanting to adopt the latest AI innovations Practical Outcomes and Takeaways - A Fresh Brand Identity: Walk away with a business name, color palette, and a newly generated logo - AI Skill Set: Gain confidence in using ChatGPT and Canva’s AI features for future projects - Creative Confidence: Experience that 'aha' moment as you realize AI isn't just a tool but a powerful ally for your creative projects Setting Expectations This class won’t turn you into a branding agency overnight, but you’ll learn the essentials of AI-assisted brand creation. You’ll see real examples, including the successes and hiccups that come with generative AI, so you know how to troubleshoot your own projects. Instructor bio: Ronny Hermosa is a visual marketing educator and content creator who, alongside his wife Diana, teaches Canva, AI, and creative tools to help entrepreneurs and professionals stand out online. After building a global following through their YouTube tutorials, Ronny was invited to join Canva as Head of Communities before returning to full-time teaching. With over six years of experience, his mission is to empower learners to create impactful visuals and grow their businesses—while having fun along the way.
Deep Teaching Solutions
Uncommon Sense Teaching: Part 2, Building Community and Habits of Learning
In Part 2 of Uncommon Sense Teaching: Building Community and Habits of Learning, you will explore the following areas more deeply—helping you to connect with the latest insights into research and have fun while you are doing it! • The hidden strengths of neurodiversity: Dyslexia, attention deficit hyperactivity disorder, autism, and other syndromes that relate to learning • The value of forgetting • How to use habits formed by the procedural system to help you with classroom management • Judicious use of rewards to motivate students (too many rewards can de-motivate) • How to avoid educational fads • The power of lesson plans This is like no other course on teaching—it weaves late-breaking insights from neuroscience with personal insights from the classroom to provide unexpected, yet practical, new approaches. You’ll discover how to bring out the best from all your students in today’s diverse teaching environment, where students often have a wide range of abilities. Uncommon Sense Teaching will take your teaching to a higher level for whatever subjects you teach, whether math, physics, literature, dance, art, or anything else; and whether you are teaching K-12, university, business, vocational, or at home. Join us today to move into the new era of education!
EDUCBA
Build JDBC-Based Employee Management Systems in Java
By the end of this course, learners will be able to design, implement, and optimize a complete Employee Management System using Java Database Connectivity (JDBC), apply CRUD operations, manage database transactions, handle exceptions, and structure applications using industry best practices such as the DAO pattern. This course provides hands-on, practical learning through a real-world case study that demonstrates how Java applications interact with relational databases. Learners will gain in-demand skills by working step by step through database connectivity, SQL execution, prepared statements, transaction management, batch processing, and performance optimization. Each concept is reinforced through progressive lessons that mirror how JDBC is used in professional software development environments. What makes this course unique is its end-to-end, case-study-driven approach. Instead of isolated examples, learners build and refine a complete system, gaining clarity on how individual JDBC components work together in real applications. This practical focus makes the course ideal for students, job seekers, and professionals who want to strengthen their backend Java skills and confidently work on database-driven enterprise applications.
EDUCBA
Financial Modeling of Tesla: Analyze & Value
By the end of this course, learners will be able to analyze Tesla’s sales performance, interpret annual reports, project revenues and costs, forecast capital expenditures, and link all major financial statements into a cohesive model. They will also calculate free cash flows, apply WACC for valuations, determine Tesla’s terminal value and target share price, and conduct ratio analysis to evaluate overall performance. This course equips learners with practical financial modeling skills by using Tesla Inc. as a real-world case study. Participants will benefit from step-by-step guidance that blends financial theory with Excel modeling, enabling them to build and interpret models that mirror industry standards. Unlike generic financial modeling courses, this program focuses on Tesla’s dynamic growth story, providing insights into both the automotive and renewable energy sectors. What makes this course unique is its end-to-end approach—covering everything from data sourcing and working capital analysis to advanced valuation and sensitivity testing. Learners will not only develop technical expertise in financial modeling but also gain the confidence to apply these methods to real-world corporate analysis and investment decision-making.
Coursera
Next.js for Beginners: Build a Multi-Page Portfolio Website
Do you know that according to surveys, Next.js is among the top five most popular web development platforms for companies of all sizes? In this 1.5 hour project-based course, you will learn the basic of building a multi-page website with Next.js. We will do this by generating a starter project with Next.js creation tool and then customizing it to showcase a line of self-driving travel campers. Built on React and Node.js, Next.js offers improved loading performance, built-in development server, and support for React components, allowing project of all sizes to be developed and deployed quickly. This course is aimed at learners who already have these skills: HTML, CSS, JavaScript: functions, objects, import. Helpful but optional: React JSX
Google
Основы технической поддержки
Это первый курс программы, которая должна подготовить вас к роли специалиста IT-поддержки начального уровня. В нем вы познакомитесь с миром информационных технологий (или IT) и различными его компонентами, такими как аппаратное обеспечение компьютера, Интернет, ПО, устранение неполадок и поддержка клиентов. Мы покажем, как проходит собеседование для технического специалиста, и расскажем, как лучше к нему подготовиться. Курс охватывает целый ряд тем из сферы IT. Пройдя его, вы поймете, чего ждать от этой программы. К концу этого курса вы: ● поймете, как устроена двоичная система счисления; ● соберете компьютер с нуля; ● выберете операционную систему и установите ее на компьютер; ● разберетесь, что такое Интернет, как он работает и какое влияние оказывает на современный мир; ● узнаете, как создаются приложения и как они работают "под капотом" компьютера; ● научитесь использовать методологии решения проблем и навыки коммуникации, необходимые в сфере информационных технологий.
Northeastern University
Business Application of Machine Learning and Artificial Intelligence in Healthcare
The future of healthcare is becoming dependent on our ability to integrate Machine Learning and Artificial Intelligence into our organizations. But it is not enough to recognize the opportunities of AI; we as leaders in the healthcare industry have to first determine the best use for these applications ensuring that we focus our investment on solving problems that impact the bottom line. Throughout these four modules we will examine the use of decision support, journey mapping, predictive analytics, and embedding Machine Learning and Artificial Intelligence into the healthcare industry. By the end of this course you will be able to: 1. Determine the factors involved in decision support that can improve business performance across the provider/payer ecosystem. 2. Identify opportunities for business applications in healthcare by applying journey mapping and pain point analysis in a real world context. 3. Identify differences in methods and techniques in order to appropriately apply to pain points using case studies. 4. Critically assess the opportunities to leverage decision support in adapting to trends in the industry.
Universidad de los Andes
Tesoros de la Física y sus Descubridores I
¿Sabes que viajamos por el espacio sobre el planeta Tierra que se traslada y gira muy rápido y no lo percibimos? ¿O acaso, notas efectos de su movimiento? ¿Cuál es nuestro lugar en el universo? ¿Cómo funciona el universo? ... ¿Cuáles son sus leyes fundamentales? ¡Preguntas, muchas preguntas! Con espíritu de descubridores nuestra curiosidad nos motiva a buscar respuestas, a explorar nuestro entorno, a entrar a lo desconocido y hallar nuevo conocimiento. Recibimos como verdaderos tesoros las contribuciones de quienes nos antecedieron en la aventura que es la ciencia, la física en particular. Asociamos estos tesoros a los científicos que los hallaron. Conociendo a los descubridores, los conocimientos de la física se tornan más humanos. Nos ubicamos en lo que era el pensamiento de sus contemporáneos para contrastar y reconocer lo extraordinario de sus logros innovadores, cómo impactaron en su momento, y luego tomando distancia, valoramos qué efecto han tenido como resultados notables, que trascienden su época y perduran hasta nosotros y tal vez hasta tiempos lejanos en el futuro. Con este curso para amantes de la ciencia, sin requisitos previos, adquieres una mejor imagen y perspectiva del universo, de su orden, del cosmos, formas de pensar, principios fundamentales para comprender mejor lo que existe, incluso para maravillarnos con nuestra propia existencia. Objetivos de aprendizaje: • Reconocer y nombrar cuáles han sido los más destacados descubrimientos en la comprensión del universo físico desde la revolución científica de los siglos XVI y XVII hasta el final del siglo XIX, y cómo se llegó a encontrar este conocimiento. • Asociar los conocimientos de la física a los científicos quienes hicieron los descubrimientos, a la época y al pensamiento establecido en el entorno en que vivieron estos personajes. • Identificar el impacto de los descubrimientos en la época de los científicos protagonistas, cuando hicieron sus contribuciones; y pensar críticamente sobre la trascendencia de este impacto hasta nuestros días. • Formar y construir una imagen informada de lo maravilloso que es el universo físico, el cosmos del cual somos parte. • Descubrir nuevas formas de pensar sobre el mundo a nuestro alrededor, reconociendo la belleza intrínseca de las leyes y principios físicos, que hacen posible nuestra existencia. • Encontrar la motivación para continuar enriqueciendo nuestro conocimiento sobre el universo físico, sobre la labor activa de los científicos en su investigación y sobre su impacto en nuestra vida cotidiana. Prerrequisitos: No hay requisitos previos especiales para este curso, aunque es de utilidad tener una formación escolar básica. Sólo necesitas una actitud positiva y disposición para adquirir nuevo conocimiento enriquecedor en la cultura, no por la utilidad inmediata de adquirir una nueva destreza práctica, sino… ¡simplemente por el gusto y el placer de conocer mejor el universo y las leyes físicas fundamentales, por las cuales es posible que nosotros los humanos existamos! Material suplementario: Todos los videos y textos que encontrarás han sido desarrollados por el profesor, especialmente para este curso. Los materiales complementarios utilizados son de dominio público que puedes consultar a través del Internet, como por ejemplo páginas web “abiertas” donde encontrarás resultados científicos de la NASA, del CERN, etc.
Cleveland Clinic
Computer Vision and Sequence Analysis in Machine Learning
This course explores the foundational and applied aspects of machine learning techniques used to analyze image and time-series data, with a focus on healthcare applications. Learners will gain hands-on experience in designing models that detect brain tumors from MRI scans and predict clinical events such as sepsis onset using patient vital signs. You’ll also gain exclusive insights from a now-retired, globally recognized pioneer in medical technology—whose decades-long career shaped the field and who now shares hard-earned wisdom to inspire and guide the next generation of innovators. This course is ideal for: • Healthcare professionals (e.g., clinicians, nurses, administrators) looking to understand how AI and machine learning can enhance patient care and operational efficiency. • Data scientists and analysts working in or transitioning to the healthcare industry. • Students and researchers in fields like biomedical engineering, public health, or health informatics who want a practical introduction to ML in clinical contexts. • Healthcare innovators and tech entrepreneurs aiming to build or evaluate AI-driven healthcare solutions.