The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
EDUCBA
Analyze Mortgage-Backed Securities and Credit Risk
By the end of this course, learners will be able to explain the structure and functioning of mortgage-backed securities, analyze the securitization process, differentiate between MBS and asset-backed securities, and evaluate the role of MBS in the global credit crisis. This course provides a comprehensive and practical introduction to Mortgage-Backed Securities (MBS), designed for learners seeking a clear understanding of structured finance and credit risk. Learners will explore how mortgages are pooled, securitized, and transformed into tradable investment instruments, while also examining the benefits and risks associated with these products. Through a structured, step-by-step approach, the course connects foundational concepts with real-world applications. What makes this course unique is its strong integration of theory with historical context. Rather than treating the credit crisis as a separate topic, the course uses it as a practical case study to demonstrate how mispricing, weak underwriting, and flawed risk assessment in MBS markets can impact the global financial system. By completing this course, learners will gain market-relevant knowledge that supports careers in finance, banking, investment analysis, and risk management, while developing analytical skills aligned with industry and exam standards.
Packt
Advanced Networking, Virtualization, and Security
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. Take your networking expertise to the next level with this in-depth course on advanced networking, virtualization, and security. Gain mastery over IPv6, WAN technologies, wireless networking, and virtualization, ensuring you're equipped to meet the challenges of modern IT infrastructures. Explore critical topics like IPv6 deployment, tunneling, and network operations while diving into cutting-edge wireless standards, virtualization basics, and enterprise-level cloud computing. The course begins with foundational concepts, such as IPv6 addressing and WAN connectivity, progressing into practical tools like VPNs and remote desktop solutions. Wireless networking modules explore PoE, wireless threats, and enterprise configurations, while virtualization and cloud computing lessons introduce essential skills for deploying virtual machines and managing cloud services. Further, you'll develop expertise in protecting networks, mastering defense in depth, password security, malware prevention, and firewall configuration. Modules on data centers and IoT integration expand your understanding of modern IT environments, while network operations and monitoring ensure you're ready to manage complex systems efficiently. Perfect for network administrators, IT professionals, and aspiring cybersecurity specialists, this course balances theory and hands-on application. A solid understanding of networking fundamentals is recommended, making it ideal for intermediate to advanced learners.
Simplilearn
Kubernetes Training for Beginner
This comprehensive Kubernetes course equips you with the foundational and practical skills to confidently manage containerized applications in cloud-native environments. Begin by understanding what Kubernetes is, its core features, and how it compares to Docker Swarm for real-world use cases. Explore Kubernetes architecture including container needs, hardware, and software components to build scalable, resilient applications. Progress into hands-on implementation by learning how to set up Kubernetes clusters, manage nodes and workloads, and deploy applications. Gain practical experience with a guided demo on AWS to orchestrate containers in real-world cloud environments. To be successful in this course, you should have a basic understanding of containers, cloud computing, and command-line operations. By the end of this course, you will be able to: - Understand Kubernetes Architecture: Explore key components like pods, nodes, and control planes - Compare Orchestration Tools: Evaluate Kubernetes vs. Docker Swarm for specific deployment scenarios - Build Scalable Applications: Manage containerized workloads with Kubernetes in cloud-native environments - Deploy Kubernetes on AWS: Set up clusters and run workloads using real-world AWS-based demos - Orchestrate Containers at Scale: Apply Kubernetes best practices to streamline app deployment and management Ideal for aspiring DevOps engineers, cloud professionals, and infrastructure architects.
Dartmouth College
Foundations for Machine Learning
This course provides a practical and theoretical tour of the most essential probability distributions that are most often used for modern machine learning and data science. We will explore the fundamental building blocks for modeling discrete events (Bernoulli, binomial, multinomial distributions) and continuous quantities (Gaussian distribution) and discuss the implications of Bayes Theorem. Moreover, we will discuss two perspectives in estimating the model parameters, namely Bayesian perspective and frequentist perspective and learn how to reason about uncertainty in model parameters themselves using the powerful beta and Dirichlet distributions for Bayesian perspective and maximum likelihood estimate for frequentist perspective. By the end of this course, you will have a fluent command of the mathematical "language" needed to understand, build, and interpret probabilistic models.
University of Colorado System
Biostatistics Study Design and Analysis for Grant Writing
This course is targeted to early career and novice researchers writing their first major competitive biomedical / health research grant proposals. After the course, you will be able to: 1) Identify and summarize key decisions in study design that align scope and complexity with budget and timeline; 2) Describe key variables and their relationships to each other; and 3) Interpret essential parts of a power analysis and summarize appropriate questions for an expert biostatistician. We are faculty at a major research institution with proven experience training others to health sciences research career success. Study design and analysis planning are key skills for grant writing. This course is part of a larger Specialization called Grant Writing for Health Researchers. Please consider taking the other two courses on (1) Grant proposal plans, sections, and resubmission, and (2) Scientific writing. Together, these have been a recipe for success for researchers at the University of Colorado and beyond. Upon completion, you will earn an e-badge to display your new skills. Please join us!
EDUCBA
3DS Max Character Modeling: Build & Refine
By the end of this course, learners will be able to set up accurate modeling references, construct foundational facial structures, refine detailed features, and complete full-body topology using 3ds Max. They will gain the ability to build eyes, noses, lips, cheeks, and ears with clean geometry, as well as design torso, hands, and waist with realistic proportions. This course benefits learners by guiding them step by step from the fundamentals of reference setup to the advanced techniques of body modeling. Each module introduces progressively detailed workflows, helping learners not only understand the tools but also apply professional modeling practices that ensure animation-ready geometry. What makes this course unique is its focus on modeling Shrek—a recognizable and expressive character—providing both familiarity and practical application. Through project-based learning, participants will master key modeling techniques while building confidence to tackle complex character designs in their own creative projects.
Georgia Institute of Technology
Introduction to User Experience Design
The focus of this course is to introduce the learner to User Experience (UX) Design User Experience design is design that is user centered. The goal is to design artifacts that allow the users to meet their needs in the most effective efficient and satisfying manner. The course introduces the novice to a cycle of discovery and evaluation and a set of techniques that meet the user's needs. This course is geared toward the novice. It is for learners that have heard about "user experience" or "user interface" design but don't really know much about these disciplines. The course mantra is that “Design is a systematic and data driven process.” Design is systematic because it is based on a set of techniques and also on a cycle of discovery. In this course the learner is introduced to the four step user interface design cycle. Along the way learners are exposed to a set of techniques to gather information about a) what the user needs b)how to design and model interfaces based on these and then how to evaluate the design to ascertain that the user's goals are met. These techniques are tools that are used in a standardized manner and give us the data we use in our design. This means that anyone (regardless of their current training) that is willing to learn these techniques and follow the proposed cycle can be a UX designer!
University of Minnesota
Communicating to Diverse Audiences
In today’s interconnected world, the ability to communicate effectively across differences is an essential skill. This course introduces strategies for engaging diverse audiences with clarity, empathy, and impact. Through focused modules on the power of storytelling and presentation skills, learners will develop practical tools to craft compelling messages that resonate across a range of backgrounds and settings.
Johns Hopkins University
Introduction to Neural Networks
The course "Introduction to Neural Networks" provides a comprehensive introduction to the foundational concepts of neural networks, equipping learners with essential skills in deep learning and machine learning. Dive into the mathematics that drive neural network algorithms and explore the optimization techniques that enhance their performance. Gain hands-on experience training machine learning models using gradient descent and evaluate their effectiveness in practical scenarios. You’ll also delve into the architecture of feedforward neural networks and the innovative techniques used to prevent overfitting, such as dropout and regularization. The course uniquely emphasizes Convolutional Neural Networks (CNNs), highlighting their applications in fields like computer vision and image processing. Real-world examples and research insights will help you stay current with advancements in neural networks while preparing you to propose innovative solutions for emerging challenges. This course offers the tools and knowledge to advance your expertise in algorithms and machine learning methodologies.
SkillUp
Introduction to GenAI for Business Process Automation
Generative AI is reshaping how modern businesses automate tasks and improve efficiency. This course will teach you how to design and implement AI-powered automations using practical, hands-on approaches. Whether you’re new to automation or looking to sharpen your skills, you’ll gain the foundational knowledge needed to identify automation opportunities and build simple AI-enabled workflows. You’ll explore essential concepts such as prompt engineering, workflow analysis, and tool selection—key skills for anyone aiming to integrate generative AI into day-to-day operations. Through guided examples, you’ll learn how to translate business needs into clear prompts and design automation strategies that reduce manual effort and support productivity. No coding or prior AI experience is required. This course is suitable for professionals across industries who want to harness the power of AI in their teams or organizations. By the end of this course, you’ll be ready to apply what you’ve learned to real-world scenarios and take the first step toward smarter, faster, AI-assisted workflows. Enroll now to build your automation skills and future-proof your career.
University of California, Irvine
iOS Project: Transreality Game
Students will produce a networked game that will leverage sensors on the phone to create a unique gaming experience. The focus of the game will be to make it physical through real-world gestures, motion and knowledge of other players real-world location. To do this students will need to integrate knowledge of graphics, networking, sensors, and user interface design alongside a skill set of tool usage. The final project will involve milestones with opportunities to get ungraded peer review feedback from fellow learners so that they can iterate and improve their game program. The final networked game that the students produce would be something they could showcase in job application materials, in an interview, or offer in the iTunes store.
Universidad Austral
Aprendiendo a aprender para jóvenes
Aprender a aprender para Jóvenes es para ti, para darte una visión práctica de cómo aprender más profundamente y con menos frustración. Las lecciones de este curso pueden ayudarte a aprender muchos temas y habilidades diferentes. Tanto si te gustan los idiomas como las matemáticas, la música o la física, la psicología o la historia, te divertirás mucho y aprenderás MUCHO sobre cómo aprender.
Google Cloud
Migrating MySQL User Data When Running Database Migration Service Jobs
This is a self-paced lab that takes place in the Google Cloud console. In this lab, you learn how to migrate MySQL user data when running Database Migration Service jobs. First, you identify the existing MySQL users and update DEFINER to INVOKER for database objects on the source instance. Next, you create and save a Database Migration Service job. Then, before running the migration job, you create the necessary users on the destination database instance. Finally, you start the saved migration job; after the job runs successfully, you check the migrated data in the Cloud SQL for MySQL instance.
University of California, Davis
Introduction to Google SEO
Unlock the secrets of SEO! Dive into the fascinating world of Search Engine Optimization (SEO) and discover how major search engines like Google rank websites and content. This introductory course is your gateway to mastering the art of SEO, offering a thrilling blend of theory and hands-on practice to boost your visibility on Google. Course Highlights: Demystifying SEO - Uncover the inner workings of Google, the world's most popular search engine. Gain insider knowledge on how search algorithms evaluate and rank content, giving you a competitive edge in the digital landscape. SEO Evolution and Future Trends - Stay ahead of the curve by exploring the ever-changing SEO landscape. Learn to anticipate and adapt to future developments, ensuring your skills remain cutting-edge and relevant. Proven Strategies and Tactics - Master core SEO techniques to drive organic search traffic to your websites. Discover powerful methods to improve your search rankings while avoiding Google penalties. Hands-on Experience - Put theory into practice with exciting exercises designed to enhance your Google visibility. These engaging activities will solidify your understanding and provide immediate, real-world application of SEO principles, or help you create your own portfolio so you can get started with a career in SEO. This course is the first in our comprehensive SEO Specialization. By the end, you'll have a solid foundation in SEO and delve deeper into this exciting field. Get ready to transform your digital presence and unlock new opportunities in the world of search engine optimization.
EDUCBA
Master Redis Fundamentals for High-Performance Data Storage
By completing this course, learners will be able to explain Redis core concepts, apply key-based data management techniques, implement Redis data structures such as strings, hashes, and lists, and optimize in-memory data workflows for scalable applications. This beginner-level Redis training course provides a structured and practical introduction to Redis as a high-performance, in-memory data store. Learners will explore how Redis handles keys, expiration, and time-to-live (TTL) strategies, followed by hands-on understanding of Redis strings for counters and flags. The course then progresses to Redis hashes for structured object storage and Redis lists for queue-based and producer–consumer use cases. What makes this course unique is its clear progression from foundational concepts to practical data structure usage, reinforced through focused lessons, practice quizzes, and graded assessments. Each module is designed to build real-world Redis skills that are immediately applicable in caching, session management, and messaging scenarios. By the end of the course, learners will gain the confidence to use Redis effectively in modern application architectures, making this course ideal for developers, data engineers, and IT professionals seeking to strengthen their performance-oriented data management skills.
Real Madrid Graduate School Universidad Europea
The Future of Sports Media and Challenges Ahead
Look ahead to the forces reshaping the future of sports media—where economics, technology, and audience dynamics converge. This course explores the evolution of traditional revenue models, the growing media power of global mega-events, and the rising demand for sustainable, scalable business strategies in an ever-shifting industry. Gain insight into how fan behavior is transforming, with emerging interest in niche communities, the surging momentum behind women’s sports, and gamification as a powerful tool for deeper engagement. You'll also explore the next wave of innovation, from immersive tech and AI to digital twins and shared reality—tools that are redefining how media is created, consumed, and monetized. By the end of the course, you’ll be prepared to not just keep pace with industry changes—but to lead strategic thinking and innovation at the forefront of sports media’s future.