The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
The Chinese University of Hong Kong
Basic Modeling for Discrete Optimization
Optimization is a common form of decision making, and is ubiquitous in our society. Its applications range from solving Sudoku puzzles to arranging seating in a wedding banquet. The same technology can schedule planes and their crews, coordinate the production of steel, and organize the transportation of iron ore from the mines to the ports. Good decisions in manpower and material resources management also allow corporations to improve profit by millions of dollars. Similar problems also underpin much of our daily lives and are part of determining daily delivery routes for packages, making school timetables, and delivering power to our homes. Despite their fundamental importance, all of these problems are a nightmare to solve using traditional undergraduate computer science methods. This course is intended for students interested in tackling all facets of optimization applications. You will learn an entirely new way to think about solving these challenging problems by stating the problem in a state-of-the-art high level modeling language, and letting library constraint solving software do the rest. This will allow you to unlock the power of industrial solving technologies, which have been perfected over decades by hundreds of PhD researchers. With access to this advanced technology, problems that are considered inconceivable to solve before will suddenly become easy. Watch the course promotional video here: https://www.youtube.com/watch?v=hc3cBvtrem0&t=8s
Packt
Autodesk Civil 3D 2025 Unleashed
This course provides civil engineers and designers with advanced Autodesk Civil 3D skills, focusing on enhancing design workflows and collaboration. By mastering key tools such as BIM integration and automation, you will significantly improve project efficiency and outcomes. Throughout the course, you’ll enhance your design capabilities by learning advanced workflows, integrating 3D environments with model information, and using automation to streamline processes. The hands-on approach helps you achieve practical outcomes, preparing you to lead complex projects in the civil engineering field. What makes this course unique is its blend of theory and real-world application. You'll not only learn the technical aspects of Civil 3D but also explore how to use these tools in practical, collaborative environments to deliver superior projects. This course is ideal for civil engineers, designers, and BIM managers. A basic understanding of civil engineering software and BIM concepts is recommended to get the most out of this course.
Imperial College London
Validity and Bias in Epidemiology
Epidemiological studies can provide valuable insights about the frequency of a disease, its potential causes and the effectiveness of available treatments. Selecting an appropriate study design can take you a long way when trying to answer such a question. However, this is by no means enough. A study can yield biased results for many different reasons. This course offers an introduction to some of these factors and provides guidance on how to deal with bias in epidemiological research. In this course you will learn about the main types of bias and what effect they might have on your study findings. You will then focus on the concept of confounding and you will explore various methods to identify and control for confounding in different study designs. In the last module of this course we will discuss the phenomenon of effect modification, which is key to understanding and interpreting study results. We will finish the course with a broader discussion of causality in epidemiology and we will highlight how you can utilise all the tools that you have learnt to decide whether your findings indicate a true association and if this can be considered causal.
Aptly
Supercharge your Social Media Marketing with AI
In this course, you will learn how to use AI to plan, create, and optimize social media marketing more efficiently and strategically. You will explore how AI supports the creative process by generating content ideas, captions, hashtags, and visuals while maintaining brand voice and authenticity. You will also learn how to use AI to uncover audience insights, build detailed personas, identify trends, and apply customer language across campaigns. The course covers AI-driven campaign optimization, including performance analysis, A/B testing, and creative refinement. Throughout, you will develop the skills to interpret AI insights, apply human judgment, and make faster, data-informed decisions to improve social media campaign effectiveness.
Fundação Instituto de Administração
Marketing Science e Estratégia de Marketing
Nossas boas-vindas ao Curso Marketing Science e Estratégia de Marketing. Neste curso, você terá uma visão geral de marketing estratégico e como o uso da ciência de marketing pode ajudar na tomada de decisão organizacional. Ao final deste curso, você será capaz de compreender o papel dos dados na construção da estratégia de marketing. Este curso é composto por quatro módulos, disponibilizados em semanas de aprendizagem. Cada módulo é composto por vídeos, leituras e testes de verificação de aprendizagem. Ao final de cada módulo, temos uma avaliação de verificação dos conhecimentos. Estamos muito felizes com sua presença neste curso e esperamos que você tire o máximo de proveito dos conceitos aqui apresentados. Bons estudos!
Coursera
GenAI for Fraud Analysts: Improving Detection Efficiency
This course, GenAI for Fraud Analysts: Improving Detection Efficiency, empowers fraud analysts and compliance professionals with cutting-edge Generative AI (GenAI) techniques to stay ahead of sophisticated fraud schemes. Through hands-on learning and real-world applications, you will master AI-driven anomaly detection, synthetic data generation, and automated compliance checks. Using tools like Python, Scikit-learn, ChatGPT, and Faker, you'll develop fraud detection pipelines, visualize actionable insights, and enhance risk management strategies. This course is designed for beginner fraud analysts, compliance officers, financial professionals, IT security specialists, and data analysts who want to enhance their fraud detection and compliance strategies using Generative AI (GenAI). It is also ideal for aspiring professionals looking to explore AI-driven anomaly detection, risk management, and fraud prevention. Whether you're aiming to improve detection accuracy or automate compliance workflows, this course will equip you with the skills to stay ahead of evolving fraud tactics. To get the most out of this course, learners should have a basic understanding of fraud detection concepts such as transaction monitoring, anomaly detection, KYC (Know Your Customer), and AML (Anti-Money Laundering). Familiarity with data analysis tools like Excel and visualization software is recommended, along with a foundational knowledge of Generative AI tools such as ChatGPT and Python. No advanced programming experience is required, but a willingness to explore AI applications in fraud prevention will be beneficial. By the end of this course, learners will be able to analyze the role of Generative AI in fraud detection and compliance and effectively integrate it into existing workflows. They will gain hands-on experience in applying AI-powered tools like ChatGPT and Python to identify anomalies, generate synthetic data, and enhance fraud detection accuracy. Additionally, participants will learn to design AI-driven workflows to automate compliance tasks, improve operational efficiency, and evaluate fraud detection patterns to make more informed, proactive decisions in combating fraud.
The Open University
Thinking about sustainable business systemically
On this course, you’ll examine the process, methodology and impact of global circular economy initiatives. You’ll use systems thinking and mapping to understand the underlying dynamics and interaction of your problem-opportunity space and explore the likely impacts and effects of changing and/or influencing key elements of your systems. You’ll also identify key ‘leverage points’ of potential change across your systems map that you can address through future business interventions. Via text-based resources and task books, you’ll gain comprehensive understanding and benefit from in-depth reference points as you formulate your ideas and plans.
EDUCBA
XHTML - Advanced Styling with CSS
This comprehensive course is designed to empower learners with the foundational and advanced skills required to style XHTML documents using CSS. Through progressive modules, learners will apply core styling principles, analyze layout techniques using the CSS box model, and create modular, responsive, and maintainable designs by leveraging class-based styling, contextual selectors, and stylesheet integration strategies. Beginning with essential selectors and spanning through advanced techniques such as background manipulation, external style linking, and style inheritance, this course balances theory with hands-on practice. Learners will also explore how to evaluate cascading rules, synthesize structured layouts, and construct cross-browser-compatible web documents using conditional comments and real-world examples. Structured to support step-by-step mastery, each lesson includes targeted objectives using Bloom’s Taxonomy verbs and integrates practice quizzes and graded assessments to reinforce learning outcomes.
DeepLearning.AI
Browser-based Models with TensorFlow.js
Bringing a machine learning model into the real world involves a lot more than just modeling. This Specialization will teach you how to navigate various deployment scenarios and use data more effectively to train your model. In this first course, you’ll train and run machine learning models in any browser using TensorFlow.js. You’ll learn techniques for handling data in the browser, and at the end you’ll build a computer vision project that recognizes and classifies objects from a webcam. This Specialization builds upon our TensorFlow in Practice Specialization. If you are new to TensorFlow, we recommend that you take the TensorFlow in Practice Specialization first. To develop a deeper, foundational understanding of how neural networks work, we recommend that you take the Deep Learning Specialization.
Coursera
Business Strategy: Business Model Canvas Analysis with Miro
By the end of this guided project, you will be fluent in identifying and creating Business Model Canvas solutions based on previous high-level analyses and research data. This will enable you to identify and map the elements required for new products and services. Furthermore, it is essential for generating positive results for your business venture. This guided project is designed to engage and harness your visionary and exploratory abilities. You will use proven models in strategy and product development with the Miro platform to explore and analyse your business propositions. We will practice critically examining results from previous analysis and research results in deriving the values for each of the business model sections.
Universidad de los Andes
Marketing Verde
Al finalizar este curso serás capaz de diseñar y ejecutar campañas para productos, servicios o iniciativas relacionadas con algún tema ambiental, así como también de crear propuestas de valor para cualquier producto o servicio con criterios de sostenibilidad ambiental, es decir, generando el mayor valor para la marca y el menor impacto posible en el entorno. El curso de Marketing Verde te ofrece la oportunidad de tener mayores elementos de competitividad en tu gestión profesional, ya que es un espacio en el que serás capaz de definir cómo el tema ambiental puede ser un valor agregado que puedes vincular al direccionamiento estratégico y creativo de las marcas. Si eres un profesional que se desempeña en el área de mercadeo o un estudiante que tiene inquietud por el tema y pronto iniciarás tu vida laboral en el campo, Marketing Verde te dará herramientas para desarrollar tus habilidades creativas, de planeación y ejecución llevando los conceptos del marketing verde a la práctica en el diseño de estrategias y actividades empresariales. Empodérate para desarrollar una gestión de mercadeo más responsable y con criterios de sostenibilidad. Para tomar el curso de Marketing Verde debes contar con unos conocimientos básicos de mercadeo que garantizarán que puedas desarrollar y culminar este curso con éxito. Para saber si estás listo, te invito a tomar el examen de diagnóstico que plantea 10 preguntas muy sencillas de conceptos básicos de mercadeo; también, te ofrezco un material de apoyo sobre Fundamentos de Mercadeo que puedes consultar para repasar los conceptos básicos en caso de que lo necesites. De lo general a lo particular, el curso de Marketing Verde abordará conceptos asociados a la realidad ambiental y su relación con la gestión empresarial, la planeación estratégica para productos y servicios verdes, el análisis del consumidor y su relación con el tema ambiental y las principales decisiones de mercadeo (segmentación, targeting, posicionamiento y marketing mix) vinculando el atributo ambiental.
Coursera
Register Patients & Validate Data
Every patient interaction begins with accurate data collection—yet registration errors cost healthcare organizations millions annually in claim denials and operational inefficiencies. This Short Course was created to help health administration professionals accomplish seamless patient data management from initial contact through quality validation. By completing this course, you'll master the essential front-office skills that ensure accurate record-keeping, prevent costly errors, and create positive first impressions for every patient. By the end of this course, you will be able to: • Apply registration systems to create complete, accurate patient records efficiently • Analyze system-generated validation alerts to correct or escalate data quality issues • Resolve real-time data discrepancies following established protocols This course is unique because it combines hands-on system navigation with critical thinking skills for data quality management, preparing you for the dynamic challenges of modern healthcare administration where accuracy and efficiency are paramount. To be successful in this course, you should have basic computer literacy and familiarity with healthcare administrative concepts.
Google Cloud
Introdução ao Security Command Center Enterprise
Este curso apresenta uma visão geral completa do Google Cloud Security Command Center (SCC) Enterprise, uma plataforma de proteção de aplicativos nativos da nuvem (CNAPP, na sigla em inglês) que ajuda as organizações a evitar, detectar e responder a ameaças nos serviços do Google Cloud. Você vai aprender sobre os principais recursos do SCC Enterprise, incluindo detecção aprimorada de ameaças, gerenciamento profundo de vulnerabilidades e gestão integrada de casos. Também vai estudar os principais conceitos do gerenciamento de ameaças e da avaliação de vulnerabilidades, com demonstrações práticas de uso do SCC Enterprise para identificar, investigar e corrigir riscos de segurança no ambiente multicloud.
Yunus Social Business Fund Bengaluru
Creating a Social Business
This course is primarily aimed at learners interested in knowing about and running a social business. An ideal learner could be a student, social entrepreneur, social intrapreneur, or a corporate professional interested in social business. In the Module 1 of the course students will learn how different social business leaders - such as Professor Muhammad Yunus, Rajni Bakshi, Corinne Bazina, Lamiya Morshed, Suresh Krishna, and Daniel Nowack - are reimagining capitalism. The subsequent modules of this course crystallize varied learnings of practitioners and theorists at YSB to a set of tools and readings, which a learner may use as building blocks of a social business. What makes this course unique is the blend of inspiration and rigor that is very important for any kind of social business education. Learners may also use this course to advance in their careers, apply for higher education and jobs in the social impact/impact investing industry. The subscription to this course automatically allows a learner to become a part of the Global Social Business Community. All the best!
University of Colorado Boulder
What is Climate Change?
In this course, learners will become familiar with the scientific evidence that demonstrates human-caused climate change. We will explore how greenhouse gases cause the Earth to warm, and why our recent warming is attributed to human activities. We will also discuss where our climate is headed, including anticipated future temperature, precipitation, and sea level. Learners will engage with the consequences of these changes on our ecosystems, infrastructure, and communities. We will also identify how political beliefs influence our attitudes about climate change, and apply that knowledge to become better climate communicators.
Google Cloud
Cloud Logging on Kubernetes Engine
This is a self-paced lab that takes place in the Google Cloud console. In this lab you will deploy a sample application to Kubernetes Engine that forwards log events to Cloud Logging.