The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
Duke University
Decentralized Finance (DeFi) Deep Dive
DeFi and the Future of Finance is a set of four courses that focus on decentralized finance. The third course is called DeFi Deep Dive. It is essential that you do the first two courses I. DeFi Infrastructure and II. DeFi Primitives before doing this course. It is the longest of the four courses and focuses on some of the leading protocols in the DeFi space. We will look at Credit and Lending (and feature MakerDAO, Compound and Aave), Decentralized Exchange with an analysis of how protocols like Uniswap and Balancer works, Derivatives (featuring Yield Protocol, dYdX and Synthetix) and Tokenization with an analysis of Set Protocol as well as wrapped bitcoin. For many of these leading protocols, we include detailed examples of how the mechanics work. For example, we show how to use a dYdX flash swap to execute an arbitrage transaction (take advantage of different prices on different exchanges for the same asset).
University of Illinois Urbana-Champaign
Object-Oriented Data Structures in C++
This course teaches learners how to write a program in the C++ language, including how to set up a development environment for writing and debugging C++ code and how to implement data structures as C++ classes. It is the first course in the Accelerated CS Fundamentals specialization, and subsequent courses in this specialization will be using C++ as the language for implementing the data structures covered in class.
Coursera
Create Your First Web App with Python and Flask
In this 2-hour long project-based course, you will learn the basics of web application development with Python using the Flask framework. Through hands on, practical experience, you will go through concepts like creating a Flask Application, using Templates in Flask Applications, using SQLAlchemy and SQLite with Flask, and using Flask and WTForms. You will then apply the concepts to create your first web application with Python and Flask. This course is aimed at learners who are looking to get started with web application development using Python, and have some prior programming experience in the Python programming language. The ideal learner has understanding of Python syntax, HTML syntax, and computer programming concepts. 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.
Google
Préparer les données pour l'exploration
Il s'agit du troisième cours du Google Data Analytics Certificate. Ces cours vous permettront d’acquérir les compétences dont vous avez besoin pour postuler à des emplois d’analyste de données de niveau junior. Au fur et à mesure que vous approfondissez votre compréhension des sujets des deux premiers cours, vous découvrirez de nouveaux sujets qui vous aideront à acquérir des compétences pratiques en analytique des données. Vous apprendrez à utiliser des outils tels que des feuilles de calcul et SQL pour extraire et utiliser les bonnes données pour vos objectifs et à organiser et protéger vos données. Des analystes de données actuellement chez Google vous instruiront et vous fourniront des moyens pratiques d’accomplir les tâches courantes des analystes de données, avec les meilleurs outils et ressources. Les participants qui terminent cette formation certifiante seront préparés à postuler à des emplois d’analyste de données de niveau junior. Aucune expérience préalable n’est nécessaire. D’ici la fin de ce cours, vous : - Découvrez comment les analystes décident quelles données collecter pour analyse. - Découvrez les données structurées et non structurées, les types de données et les formats de données. - Découvrez comment identifier différents types de partialité dans les données et assurer leur crédibilité. - Découvrez comment les analystes utilisent les feuilles de calcul et SQL avec les bases de données et les jeux de données. - Examinez les données ouvertes et la relation entre l'importance de l'éthique des données et la confidentialité des données. - Comprenez comment accéder aux bases de données et extraire, filtrer et trier les données qu'elles contiennent. - Apprenez les meilleures pratiques pour organiser les données et les sécuriser.
EDUCBA
Matplotlib with Python: E-commerce Data Visualization
This course provides a practical, hands-on case study in e-commerce data analysis using Matplotlib with Python. Designed at the intermediate level, it equips learners with the skills to set up the environment, explore datasets, and construct compelling visualizations that reveal meaningful business insights. In Module 1, learners will demonstrate the installation of Anaconda and Matplotlib, analyze e-commerce datasets by identifying unique values and preparing data, and apply visualization basics by working with figures, axes, and plotting approaches. In Module 2, learners will construct line graphs and histograms to interpret trends and data distributions, apply bar graphs and scatter plots to compare categories and evaluate relationships between variables, and create pie charts and boxplots to assess proportions, quartiles, and outliers for statistical insights. By the end of this course, learners will be able to analyze raw e-commerce datasets, apply Matplotlib techniques to construct visualizations, and evaluate patterns for actionable insights — essential skills for anyone pursuing data science, business analytics, or Python visualization projects.
Coursera
The Role of the CEO in Navigating GenAI
This course is designed to guide CEOs and senior leaders on their journey to understanding and leveraging Generative AI. It focuses on the critical role of the CEO in navigating the transformative potential of GenAI. Guest speakers, Andrew Ng (Co-founder and Chairman of Coursera) and Hayden Brown (CEO of Upwork) provide their perspectives on the importance of this journey and how leaders can maximize their impact. In this course, learners will get hands-on experiences with GenAI within our live “playground” environment with private access to powerful large language models. You'll explore how GenAI can serve as a 'thought partner', enhancing critical areas of their role such as information synthesis, decision-making, and effective communication. Imagine having a partner who can help you sift through vast amounts of data, identify key insights, and aid in making strategic decisions. That's the promise of GenAI. Finally, guest lecturers Jules White (Vanderbilt) and Andrew Ng (Stanford and DeepLearning.AI) will provide an executive summary of how Generative AI works as well as what it is capable and not capable of.
EDUCBA
Build an iOS Stock Trading App with Swift & Charts
By the end of this course, learners will be able to build, implement, and analyze a fully functional iOS stock trading application using Swift, real-world data flows, and advanced charting techniques. This hands-on course guides learners step by step through the complete development lifecycle of a stock trading app on iOS 12. Starting with app architecture, mock JSON data, and custom table views, learners progressively implement networking with Alamofire, structured data models, and dynamic UI updates. The course then advances into interactive features such as portfolio-aware stock cells, delegate-based action handling, and professional financial charts including candlestick and pie charts. Learners also apply higher-order functions, color customization, and animations to enhance performance and user experience. What makes this course unique is its end-to-end, project-driven approach that mirrors real-world financial app development. Instead of isolated demos, learners build a cohesive application while mastering industry-relevant patterns like delegation, data visualization, and UI synchronization. Upon completion, learners gain practical skills applicable to fintech apps, data-driven iOS applications, and professional Swift development workflows.
SAE Institute México
Ethical Hacking
Es la primera parte de un curso donde podrás conocer el funcionamiento de las redes informáticas, las vulnerabilidades que presentan estas redes y qué herramientas pueden ser utilizadas de manera ética y responsable para identificar y explotar dichas vulnerabilidades.
Microsoft
Automation & Advanced Techniques with Copilot in Excel
This course introduces learners to Excel Macros and VBA, focusing on automating tasks to enhance productivity. Starting with the macro recorder, learners will automate repetitive tasks without needing to write code. They will explore VBA programming fundamentals, such as working with variables, built-in functions, and loops to optimize workflows. Advanced topics include creating interactive dashboards using Excel Copilot, incorporating predictive and scenario analysis, and building user-friendly interfaces with ActiveX controls and UserForms. By the end of the course, learners will be proficient in using Macros and VBA to streamline tasks and create dynamic Excel solutions. By the end of the course, you’ll be able to: - Utilize Excel Macros to automate repetitive tasks and enhance efficiency. - Navigate the Developer tab and use the macro recorder to streamline workflows. - Debug and edit macro code using the VBA editor for optimal performance. - Apply advanced VBA techniques to create custom macros and interactive dashboards. - Develop interactive dashboards. Tools you’ll use: - Microsoft Excel - Copilot in Excel - Excel Macros - Visual Basic for Applications (VBA) - ActiveX Controls Required Course Materials: A Copilot license is required to complete this course. If you don’t have a Microsoft 365 Personal or Family license, you can start a free 30-day trial using the link provided in the course.
Pragmatic AI Labs
GitHub: Evaluating and Integrating AI Models
Learn to evaluate, select, and integrate AI models using GitHub Models — a service that provides ready-to-use, off-the-shelf machine learning models directly within the GitHub platform. You will navigate the GitHub Models marketplace to compare models by provider, capability, and rate limits, then test them interactively using the built-in playground with system prompts and temperature controls. This course covers the practical skills needed to move from model evaluation to production integration. You will understand how rate limits work across different models, learn strategies for scaling beyond the free tier through Azure AI integration, and set up cloud development environments using GitHub Codespaces with pre-installed Python libraries. In the final module, you will build a complete HTTP Application Programming Interface (API) using FastAPI that connects to GitHub Models, authenticate using personal access tokens, test your endpoints within Codespaces, and apply validation strategies for production readiness. You will also learn about responsible AI features including content filters that GitHub applies through Azure to ensure safe model interactions. By the end of this course, you will have hands-on experience building and testing AI-powered API endpoints ready for cloud deployment.
Georgia Institute of Technology
Material Processing
Have you ever wondered why ceramics are hard and brittle while metals tend to be ductile? Why some materials conduct heat or electricity while others are insulators? Why adding just a small amount of carbon to iron results in an alloy that is so much stronger than the base metal? In this course, you will learn how a material’s properties are determined by the microstructure of the material, which is in turn determined by composition and the processing that the material has undergone. This is the second of three Coursera courses that mirror the Introduction to Materials Science class that is taken by most engineering undergrads at Georgia Tech. The aim of the course is to help students better understand the engineering materials that are used in the world around them. This first section covers the fundamentals of materials science including atomic structure and bonding, crystal structure, atomic and microscopic defects, and noncrystalline materials such as glasses, rubbers, and polymers.
University of California, Davis
Healthcare Data Models
Career prospects are bright for those qualified to work in healthcare data analytics. Perhaps you work in data analytics, but are considering a move into healthcare where your work can improve people’s quality of life. If so, this course gives you a glimpse into why this work matters, what you’d be doing in this role, and what takes place on the Path to Value where data is gathered from patients at the point of care, moves into data warehouses to be prepared for analysis, then moves along the data pipeline to be transformed into valuable insights that can save lives, reduce costs, to improve healthcare and make it more accessible and affordable. Perhaps you work in healthcare but are considering a transition into a new role. If so, this course will help you see if this career path is one you want to pursue. You’ll get an overview of common data models and their uses. You’ll learn how various systems integrate data, how to ensure clear communication, measure and improve data quality. Data analytics in healthcare serves doctors, clinicians, patients, care providers, and those who carry out the business of improving health outcomes. This course of study will give you a clear picture of data analysis in today’s fast-changing healthcare field and the opportunities it holds for you.
University of Maryland, College Park
Building the Business Model for Corporate Entrepreneurs
Led by Dan Gordon, a University of Maryland faculty member who teaches business modeling in the National Science Foundation's I-Corps Program, this course enables you to develop and apply the Business Model Canvas tool to scope a corporate challenge or opportunity. You will learn how to identify and communicate the nine elements of a business model: Customer Segments, Value Propositions, Channels, Customer Relationships, Revenue Streams, Key Resources, Key Activities, Key Partners, and Cost Structure. Your completed project will be a customer-validated Business Model Canvas that outlines the business case for a new product or service to address your selected challenge or opportunity in a corporate context. This project is derived from four areas of focus in the course: • Identifying how to create and deliver value for existing and future customers of the company; • Learning how to extract value for the corporate venture in a sustainable fashion; • Conducting in-depth interviews to guide the customer discovery process for your corporate venture; and • Developing business models that encompass the product or service, customers, and economic engine that deliver on the corporate venture objectives. Try this course for FREE at https://www.coursera.org/learn/corporate-entrepreneurs-business-model
Packt
Managing IT Project Scope, Schedule, and Resources
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. Master the art of IT project management by learning to manage scope, schedule, and resources effectively. This course equips you with essential techniques to define project requirements, develop schedules, estimate resources, and balance budgets while maintaining quality and performance standards. Dive into managing scope with tools like Work Breakdown Structures (WBS) and techniques for collecting requirements. Move on to schedule management by identifying milestones, estimating activities, sequencing tasks, and maintaining a project timeline. You'll also learn about baselines, schedule adjustments, and forecasting for seamless project execution. Explore cost estimation, budget determination, and performance tracking to ensure your projects are financially sound. Deepen your understanding of managing resources—both human and material—by examining team dynamics and resource lifecycle, and addressing gaps through gap analysis and stakeholder engagement strategies. This course is ideal for aspiring and current IT project managers, team leads, and business analysts with a basic understanding of project management principles. Whether you're working in Agile or traditional frameworks, the skills you'll gain here are indispensable.
Packt
SQL Server Course for Beginners with 100+ examples
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. Dive into SQL Server with this comprehensive beginner-friendly course. Whether you’re just starting or looking to strengthen your SQL skills, this course ensures hands-on experience through over 100 examples, making concepts clearer and more practical. You’ll begin by understanding the fundamentals of SQL and its powerful features, followed by installation guides tailored for Windows 10 and 11. As you move forward, you’ll dive into creating databases and tables, and learn how to insert, select, and manage records in SQL. The course’s logical flow helps build confidence, while learning how to work with constraints, operators, and built-in functions provides a strong foundation. Advanced topics, such as stored procedures, indexing, and database backups, ensure you’re equipped to handle real-world challenges. Throughout the course, you’ll have access to step-by-step tutorials, interactive exercises, and troubleshooting guides that will teach you best practices and help you grow your SQL expertise. You’ll get an inside look at SQL Server Management Studio and gain proficiency in essential SQL tasks, such as updating records, creating backups, and optimizing queries. By the end, you’ll be well-versed in the core components of SQL Server and ready to apply your skills in professional environments. This course is perfect for beginners, IT professionals, and anyone interested in mastering SQL Server. Whether you’re looking to transition into database management or want to enhance your data skills, this course is tailored for you. No prior experience with SQL is required, making this ideal for those new to database management. By the end of the course, you will be able to create databases and tables, use SQL queries to manipulate data, troubleshoot installation issues, and optimize SQL queries for better performance.
Google
Organizing Communication and Documentation
In this course, you will learn the elements of a simple communication plan and how to draft and manage one, why documentation helps create project team visibility and accountability, how to organize documents in one central place, and how to prepare for a job search by documenting experience and highlighting transferable skills. By the end of this course, you will be able to: - Draft a communication plan and explain how to manage it - Examine the elements of a communication plan that are vital to project success - Explain why a project plan is necessary and what components it contains. - Explain the value of documentation in creating visibility and accountability for team members - Organize project documents in one centralized place - Explain why milestones are important and how to set them