The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
Microsoft
Fundamentals of Big Data with Microsoft Azure
This foundational course introduces learners to key concepts in big data, cloud computing principles, and Microsoft Azure technologies. Learners will understand the characteristics of big data, explore the big data ecosystem within Azure, and gain practical experience with key tools, including Azure services and Databricks. The course includes cost comparisons between major cloud providers and introduces key concepts in cluster computing. Course Learning Objectives By the end of this course, you will be able to: - Explain the fundamental concepts and characteristics of big data - Describe cloud computing principles and their relevance to big data solutions - Navigate and utilize the Microsoft Azure platform for big data workloads - Understand cluster computing concepts and implement basic Azure Databricks clusters - Compare costs across major cloud providers (Azure, AWS, GCP) for big data scenarios - Set up and configure basic resources in Azure for big data implementations
University of Colorado Boulder
Modeling Climate Anomalies with Statistical Analysis
This course introduces the use of statistical analysis in Python programming to study and model climate data, specifically with the SciPy and NumPy package. Topics include data visualization, predictive model development, simple linear regression, multivariate linear regression, multivariate linear regression with interaction, and logistic regression. Strong emphasis will be placed on gathering and analyzing climate data with the Python programming language. This course can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) degree offered on the Coursera platform. The MS-DS is an interdisciplinary degree that brings together faculty from CU Boulder’s departments of Applied Mathematics, Computer Science, Information Science, and others. The degree offers targeted courses, short 8-week sessions, and pay-as-you-go tuition. Admission is based on performance in three preliminary courses, not academic history. CU degrees on Coursera are ideal for recent graduates or working professionals. Learn more: MS in Data Science: https://www.coursera.org/degrees/master-of-science-data-science-boulder
O.P. Jindal Global University
The Making of US Foreign Policy
Welcome to The Making of US Foreign Policy course! This course seeks to provide you with a comprehensive understanding of the United States’ Foreign Policy (USFP). Through this course, you will look at the evolution of USFP from its founding to the present. You will analyze the role of the institutions which play a role in defining USFP. You will also explore how the USFP relies on trade and economic interdependence to define global economic relations.
The George Washington University
Essentials in Clinical Simulations Across the Health Professions
This 7-week course provides you with key strategies to help understand the foundation of Clinical Simulations. During each module, you will learn about 7 key components of Clinical Simulation Across the Health Professions and its' impact in your current position as a healthcare professional. Please utilize all of the Resources provided by each of the modules to support and enhance your understanding of each concept. You will learn about the following topics in this course: Module 1: Getting Started in Clinical Simulation-the Fundamentals Module 2: INACSL Standards of Best Practice: Simulation Module 3: Implementing Simulation in the Curriculum Module 4: Developing a Simulation Center Module 5: Basics of Debriefing in Simulation Module 6: Evaluation Methods in Simulation Module 7: SPs in Simulation About The George Washington University School of Nursing Ranked among the top nursing schools by U.S. News & World Report, the George Washington University School of Nursing educates and inspires nurses to provide high-quality, compassionate person-centered health care. The school develops leaders actively engaged in health promotion, patient advocacy and healthcare innovation, and prepares exceptional nurse educators who pursue quality and advance the profession. The School of Nursing is committed to improving the health and wellbeing of people and communities locally, nationally and globally. The school values lifelong learning and its students advance nursing practice, leadership and education as they make a difference in the world. For more in-depth simulation education, please see the GW Nursing Simulation Initiatives. https://nursing.gwu.edu/gw-nursing-simulation-initiatives
Packt
Generative AI Art For Beginners
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. In this beginner-friendly course, you will embark on an exciting journey to discover the world of AI-generated art. With the rapid advancement of AI technologies, this course equips you with the tools to create stunning visual artworks using text-based prompts. As you progress, you will learn how AI works behind the scenes and how to generate imaginative art with simple text commands. The course starts by introducing you to the theory of AI and its applications in art, including NLP and machine learning. You will explore the fundamentals of text prompts, learn how to craft effective prompts for generating specific styles, and dive into AI art framing and perspective. You'll gain hands-on experience with top AI art software like DALL-E 2, Craiyon, and Midjourney, learning the ins and outs of each platform. As the course progresses, you'll deepen your understanding by experimenting with image masking, creating custom prompts, and applying parameters to generate different artistic outputs. By engaging with various assignments, including a personal project, you'll have the chance to practice and refine your skills, culminating in the creation of your own AI-generated artwork. This course is designed for individuals interested in learning how to create AI art, especially beginners with no prior experience in AI or art creation. There are no strict prerequisites, but basic familiarity with technology will help. It’s perfect for creative enthusiasts, digital artists, and anyone curious about the potential of AI in art creation. By the end of the course, you will be able to construct effective AI art prompts, use AI art software proficiently, explore different artistic styles, and generate your own AI-based artwork using a variety of techniques and tools.
University of Michigan
Django Features and Libraries
In this course, you will learn how to build Django-based web applications suitable for use by end users. You will learn about cookies, sessions, and authentication processes in Django. You will build navigation into your applications and explore ways to easily improve the look and feel of Django applications. You will begin to develop a simple application to support a classified ads website that will walk you through many of the issues and techniques that you encounter in website development. You will also learn how to move an application from development to production.
Packt
Financial Analysis - Build a ChatGPT Pairs Trading Bot
Updated in May 2025. This course now 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. In this course, you will learn how to effectively use ChatGPT in financial analysis, specifically focusing on pairs trading. By the end of the course, you will be equipped with the skills to automate parts of your trading strategy, test its effectiveness, and make corrections using the power of AI. The course begins by introducing you to pairs trading, an essential concept in finance. You'll gain an intuitive understanding of its foundations, such as the underlying rationale, advantages, and how to begin implementing it. As you proceed, you will learn how to craft the right prompts to use ChatGPT for pairs trading and test the strategy using historical data. You’ll also dive into more technical aspects of pairs trading, including correcting trading signals, Z-score computations, and return calculations. This knowledge will empower you to optimize strategy performance, address issues like spread discrepancies, and handle errors in real-time. The course also covers advanced topics like benchmarking against buy-and-hold strategies and implementing long-only positions. This course is ideal for individuals with a basic understanding of trading and financial analysis who want to use ChatGPT to enhance their trading strategies. It’s suitable for anyone looking to improve their quantitative finance skills and gain practical experience in AI-assisted financial decision-making.
Universidad Austral
Diseñando páginas web con Bootstrap 4
Este curso te enseñará conceptos generales de desarrollo web del lado cliente, metodologías de trabajo y herramientas. Aprenderás sobre diseño responsive, grillas, y componentes CSS y Javascript de Bootstrap. Practicarás con preprocesadores de CSS, Less y Sass. También aplicarás conceptos básicos de Node.js y NPM para gestionar tus sitios web. Al finalizar este curso, habrás practicado con todas esas herramientas y serás capaz de diseñar una página web e implementar ese diseño con Bootstrap, crear un diseño responsive y preparar tu sitio web para salir a producción.
Pontificia Universidad Católica de Chile
Buenas Prácticas en Libre Competencia
La libre competencia es el derecho de todas las personas y empresas de participar con eficiencia y en igualdad de condiciones en las actividades económicas, logrando ofrecer productos y servicios con la mejor combinación de calidad, precio, variedad e innovación, maximizando el bienestar del consumidor y la sociedad en general. Este curso busca identificar buenas prácticas en materia de libre competencia, reconociendo la normativa chilena y las conductas asociadas a la vulneración de ésta. La Escuela de Administración de la Pontificia Universidad Católica de Chile en conjunto con la Confederación de Producción y Comercio (CPC) pretende, a través del curso buenas prácticas en libre competencia, ser un aporte en la formación de trabajadores y personas interesadas de distintos ámbitos y sectores, en materias de libre competencia, independiente del rol que cumplan éstas en la institución.
Google Cloud
Create Image Captioning Models - Español
En este curso, se te enseña a crear un modelo de generación de leyendas de imágenes con el aprendizaje profundo. Aprenderás sobre los distintos componentes de los modelos de generación de leyendas de imágenes, como el codificador y el decodificador, y cómo entrenar y evaluar tu modelo. Al final del curso, podrás crear tus propios modelos y usarlos para generar leyendas de imágenes.
Coursera
Créez du contenu de sensibilisation sur Facebook avec Canva
À la fin de ce projet, vous aurez toutes les compétences de base pour créer du contenu Facebook pour sensibiliser et informer votre public en utilisant la plateforme Canva, outil en ligne de création et d’édition de visuels Marketing. Vous serez capable de créer du contenu graphique personnalisable en utilisant les divers outils de conception, couleurs et graphiques proposés par Canva. Ce projet est destiné aux débutants, aux personnes qui n’ont aucune connaissance en graphisme et qui souhaiteraient contribuer à un monde meilleur. Il est idéal pour créer du contenu graphique professionnel pour Facebook en utilisant différents modèles proposés par Canva.
EDUCBA
Credit Derivatives: Analyze, Price & Apply
By completing this course, learners will be able to explain the fundamentals of structured finance, evaluate credit risk, analyze the mechanics of credit default swaps (CDS), and apply pricing and probability models to assess default exposures. They will also differentiate among advanced instruments such as credit-linked notes, asset swaps, and total return swaps, while interpreting joint default probabilities to understand systemic risk. Finally, learners will apply computational models, recovery rates, and pricing methods to credit derivatives in practice. This course provides a unique blend of theory and application, guiding learners from the foundations of structured finance to advanced credit derivative instruments. Unlike traditional finance courses, it integrates practical computation with real-world case applications, offering insights into both risk transfer and portfolio management. Learners will benefit from structured progression—starting with fundamentals, moving through advanced applications, and concluding with computational practice—ensuring a comprehensive mastery of credit derivatives. Whether you are a finance student, risk manager, or investment professional, this course equips you with the tools to analyze, price, and apply credit derivatives in today’s financial markets.
École Polytechnique Fédérale de Lausanne
Analyse numérique pour ingénieurs
Ce cours contient les 7 premiers chapitres d'un cours donné aux étudiants bachelor de l'EPFL. Il est basé sur le livre "Introduction à l'analyse numérique", J. Rappaz M. Picasso, Ed. PPUR. Des outils de base sont décrits dans les 5 premiers chapitres. Les deux derniers chapitres abordent la question de la résolution numérique d'équations différentielles. Plus précisement, nous allons étudier les chapitres suivants du livre : Chapitre 1 : interpolation, comment approcher une fonction par un polynôme? Chapitre 2 : comment approcher des dérivées par des formules de différences finies? Chapitre 3 : comment approcher des intégrales par des formules de quadrature? Chapitres 4,5,6 : comment résoudre des (grands) systèmes linéaires? Chapitre 8 : comment résoudre des équations et systèmes d’équations nonlinéaires? Chapitre 9 : comment approcher la solution d’une équations différentielle (problème à valeur initiale)? Chapitre 10 : comment approcher la solution d’un problème aux limites unidimensionnel par une méthode de différences finies? Un cours de deux heures est donc remplacé par des "video lectures" ainsi que les "quiz" correspondant. L'heure d'exercices est remplacée par un "exercice" où vous devrez faire des expériences numériques avec un programme matlab ou octave, et démontrer des résultats théoriques "peer review". Un questionnaire a choix multiple aura lieu à la fin du cours (30% de la note). Il faut obtenir 60% de la note pour avoir le “Course Certificate”. Pour les étudiants EPFL, les heures de cours selon l'horaire is-academia sont maintenues. Vous devez visionner les "video lectures" de la semaine et faire les "quiz" avant l'heure de cours. Lors de la première heure de cours, je résoudrai l'exercice théorique (cet exercice theorique sera proposé comme "peer review" pour les étudiants externes). Une question du même type pourrait être posée lors de l'examen de juin. Lors de la deuxième heure de cours, je répondrai aux questions et je vous aiderai à faire l'"exercice" si nécessaire. Le temps de travail estimé est le suivant. Il faut compter deux heures pour visualiser les "video lectures" et répondre aux "quiz". Il faut compter une heure pour faire l'"exercice", qui demande de compléter un programme matlab (ou octave) et une heure pour faire l'exercice théorique "peer review" soit cinq heures en tout. Après ces cinq heures, vous devriez avoir acquis la matière.
Microsoft
Data Management and Application Features
This course builds on the foundation established in Course 1, focusing on data management, dependency injection, middleware, and error handling in ASP.NET Core applications. Learners will implement database operations with Entity Framework Core, configure middleware components, handle errors gracefully, and develop minimal APIs for lightweight web services. By the end of this course, you will be able to: - Implement dependency injection to manage object lifetimes and dependencies in ASP.NET Core applications - Configure and customize middleware components in the ASP.NET Core request pipeline - Implement error handling and debugging strategies to create robust applications - Design and implement data models using Entity Framework Core for database operations - Create lightweight web services using ASP.NET Core Minimal APIs
Coursera
Facebook Business pour les débutants
À la fin de ce projet, vous aurez toutes les compétences de base pour utiliser la suite Business de Facebook. Vous serez en mesure de vous familiariser avec les outils et différentes fonctionnalités qu’offre Facebook Business Manager. Vous apprendrez aussi à gérer vos activités de Marketing en un seul endroit. Ce projet vous permettra de débuter sur Facebook Business et de comprendre son utilité à travers plusieurs étapes que l’on verra ensemble.
University of Colorado Boulder
Advanced Business Analytics Capstone
The analytics process is a collection of interrelated activities that lead to better decisions and to a higher business performance. The capstone of this specialization is designed with the goal of allowing you to experience this process. The capstone project will take you from data to analysis and models, and ultimately to presentation of insights. In this capstone project, you will analyze the data on financial loans to help with the investment decisions of an investment company. You will go through all typical steps of a data analytics project, including data understanding and cleanup, data analysis, and presentation of analytical results. For the first week, the goal is to understand the data and prepare the data for analysis. As we discussed in this specialization, data preprocessing and cleanup is often the first step in data analytics projects. Needless to say, this step is crucial for the success of this project. In the second week, you will perform some predictive analytics tasks, including classifying loans and predicting losses from defaulted loans. You will try a variety of tools and techniques this week, as the predictive accuracy of different tools can vary quite a bit. It is rarely the case that the default model produced by ASP is the best model possible. Therefore, it is important for you to tune the different models in order to improve the performance. Beginning in the third week, we turn our attention to prescriptive analytics, where you will provide some concrete suggestions on how to allocate investment funds using analytics tools, including clustering and simulation based optimization. You will see that allocating funds wisely is crucial for the financial return of the investment portfolio. In the last week, you are expected to present your analytics results to your clients. Since you will obtain many results in your project, it is important for you to judiciously choose what to include in your presentation. You are also expected to follow the principles we covered in the courses in preparing your presentation.