The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
Packt
Matrix Calculus for Data Science & Machine Learning
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. This course is designed to introduce you to the powerful world of Matrix Calculus, specifically focusing on its application in Data Science and Machine Learning. By the end of the course, you will gain a strong foundation in the essential calculus concepts, such as matrix and vector derivatives, optimization techniques, and their real-world applications in machine learning models. You'll also learn to navigate the complexities of data-driven algorithms through a deep understanding of matrix calculus. The journey begins with an introduction to the course, outlining key topics and offering strategies for success. You’ll be provided with practical guidance on accessing essential course code, allowing you to engage with real-world exercises. The first main section delves into matrix and vector derivatives, covering fundamental concepts like linear forms, quadratic forms, and chain rules. Each section includes hands-on exercises to solidify your understanding of these topics and their applications, such as solving least squares and Gaussian distribution problems. The second part of the course dives deep into optimization techniques, crucial for refining machine learning models. You will explore second derivative tests, gradient descent, and Newton's method, both in one and multiple dimensions. These methods will be demonstrated with Python code to show how optimization strategies are implemented in practice. By applying these techniques in various exercises, you will develop the skills needed to optimize machine learning algorithms efficiently. This course is ideal for those with a basic understanding of calculus and linear algebra who are looking to enhance their skills in the context of data science and machine learning. It is perfect for data scientists, machine learning enthusiasts, and researchers who want to learn the mathematical foundation behind the algorithms driving modern data-driven technologies.
Google Cloud
Looker Studio Pro Essentials
This course goes beyond the basics of Looker Studio to explore the powerful features and capabilities of Looker Studio Pro. Learn how to leverage team workspaces for efficient collaboration, enhance data security and administration, and utilize Google Cloud Customer Care for support. Discover premium features that elevate your data visualization and reporting capabilities. This course is designed for users who already have a foundational understanding of Looker Studio and want to unlock its full potential for their business or organization.
Pearson
Learning Deep Learning: Unit 3
This course covers key deep learning architectures such as BERT and GPT, focusing on their use in applications like chatbots and prompt tuning. You will learn how to build models that combine text and images, and generate text from visual data. The course also addresses multitask learning and computer vision tasks, including object detection and segmentation, using networks like R-CNN, U-Net, and Mask R-CNN. Topics include ethical considerations in AI and practical advice for tuning and deploying models. Through hands-on projects in TensorFlow and PyTorch, you will develop the skills needed to build, optimize, and apply deep learning solutions in real-world situations.
Skillshare
Unreal Engine 5 For Beginners: Cameras & Production
Join Jordy Vandeput and step into the world of virtual cinematography with Unreal Engine 5. This course focuses on camera animation, live tracking, chroma key compositing, and DMX lighting control. You’ll build a complete production workflow, from planning and prototyping scenes to final rendering for film or online sharing. Learning Outcomes: - Animate cameras and perform live camera tracking using your phone - Set up green screen effects with offline and live chroma keying - Control stage lighting using DMX - Export high-quality cinematic renders for your portfolio With hands-on projects and real-world techniques, this course gives you everything you need to simulate a real studio production—all within Unreal Engine 5. Instructor bio: Jordy is a filmmaker, video editor, and educator, best known for hosting Cinecom, one of the largest YouTube channels on filmmaking and video editing with over 2.5 million subscribers. After graduating from film school in 2012, Jordy discovered his passion for teaching online and has since focused on creating engaging, hands-on learning experiences. Unlike traditional education, Jordy’s classes emphasize practical skills and creative problem-solving, aiming to deliver an immersive class experience rather than just information. His goal is to help learners gain confidence and mastery in filmmaking and video editing.
Coursera
Create Impactful Marketing Videos using Canva
By the end of this project, you will learn how to create impactful marketing videos in Canva and how to make the video appealing by adding images, shapes, elements and animations.By the end of this project, you will be confident in creating an eye-catching and professional marketing videos in Canva which you can use to market on different websites and Social Media Platforms.
28DIGITAL
Privacy in the Western World
Welcome to this course about privacy, We are thrilled to see that you are interested and will provide you with a comprehensive study of this intriguiging subject. We hope this course will enthuse you to look further into privacy and personal data regulation. Especially in the light of recent events it becomes more important to know about your (alleged!?) rights and freedoms. After showing you a number of interesting examples of privacy in recent events, this course continues to provide you with an historic introduction, and varying cases and court decisions. It will guide you through the cultural and legal changes in perception of privacy over time. Sometimes with a more technological perspective. Notably, in the Western world differences have accumulated over time and the differences between the USA and Europe will be explained extensively in the follow-up courses. Through video lectures and quizzes we endeavor to build a solid foundation for you to construct a well-founded opinion on privacy. Last but not least we sincerely hope you enjoy the course! Prof.mr.dr. Jan Smits
Real Madrid Graduate School Universidad Europea
El futuro del marketing deportivo
Este curso ofrece una visión estratégica sobre las tendencias, retos y oportunidades que marcarán el futuro del marketing deportivo. El alumnado explorará estrategias de expansión internacional, la adaptación a contextos culturales diversos y casos de éxito global como el del Real Madrid C. F. El curso pone especial atención en la transición hacia modelos centrados en el aficionado, incluyendo contenido personalizado, membresías exclusivas y marketing experiencial como vía para fortalecer la lealtad del fan. También se abordan nuevas estrategias de monetización más allá de los ingresos tradicionales, como los productos digitales, los modelos de suscripción o las técnicas de pricing innovadoras. A través de ejemplos reales y tendencias emergentes, los alumnos desarrollarán una visión estratégica para liderar la próxima generación del marketing deportivo.
Packt
DevOps Project - 2022: CI/CD with Jenkins Ansible Kubernetes
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. Dive into the world of DevOps with this all-encompassing course that focuses on building and managing CI/CD pipelines using Jenkins, Ansible, and Kubernetes. The journey begins with an introduction to Continuous Integration and Continuous Deployment, setting the stage for a series of hands-on modules. Learners will start by setting up a Jenkins server, integrating it with Git, and automating build processes using Maven. Moving forward, you'll discover how to deploy applications on Tomcat servers and automate these deployments using Jenkins. As the course progresses, the focus shifts to containerization with Docker, demonstrating how to create and manage Docker containers and images, and automate these processes using Ansible. Learners will gain insights into building, deploying, and managing containers on various environments, ensuring smooth CI/CD flows. The final section delves into Kubernetes on AWS, covering the setup of Kubernetes clusters, deploying applications, and managing complex deployments using Ansible and Jenkins. This course is designed to provide a structured learning path from fundamental concepts to advanced implementations, enabling you to handle real-world DevOps challenges confidently. Each module is packed with detailed demonstrations and practical insights, ensuring a thorough understanding of every topic covered. This course is ideal for DevOps engineers, system administrators, and software developers looking to enhance their knowledge in CI/CD processes. A basic understanding of DevOps tools and concepts is recommended. Familiarity with Jenkins, Docker, and AWS will be helpful but not mandatory.
University of California San Diego
Introduction to Seaweeds
This course was produced by the Algae Technology Educational Consortium and UC San Diego with funding from the Algae Foundation, the National Renewable Energy Lab, and the U.S. Department of Energy.
Packt
Mobile Devices, Security, and Operational Procedures
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. This course provides a thorough exploration of mobile devices, security practices, and essential operational procedures in IT. You will begin by understanding the key components of portable computing devices like laptops and mobile phones, learning how to maintain, troubleshoot, and optimize these devices for optimal performance. As you dive deeper, you'll explore the distinct operating systems of Android, iOS, and mobile security, focusing on how to safeguard personal and corporate data through multifactor authentication (MFA) and mobile device management (MDM). The course includes practical strategies for maintaining mobile devices, from synchronization to e-mail configuration, while also emphasizing how to detect and troubleshoot security issues on mobile platforms. You'll gain the technical expertise needed to handle security vulnerabilities like malware, social engineering attacks, and data breaches, as well as preventive measures for securing endpoint systems. Operational procedures such as data handling, change management, and incident response will also be covered, ensuring you are well-equipped to manage IT operations effectively and securely. This course is aimed at IT professionals, helpdesk technicians, and anyone interested in mobile device management and security best practices. Beginners will find it accessible, with no prior experience required, though a basic understanding of general IT concepts will be beneficial. The course provides an essential foundation for those looking to specialize in mobile device security or improve their general IT operational knowledge. By the end of the course, you will be able to troubleshoot mobile devices, secure them using modern authentication methods, handle endpoint security, and manage IT operations like backups, data destruction, and ticketing systems. You will also be equipped to work with mobile device synchronization, configuration, and recovery procedures in both personal and enterprise environments.
Coursera
Calculate WACC: Capital Costs
This short, hands-on course helps you think like a financial analyst by mastering how to calculate, verify, and interpret the weighted average cost of capital (WACC) — one of the most important metrics in corporate finance. Through a blend of real-world case examples, guided dialogues, and interactive activities, you’ll learn to connect capital costs to business strategy. You’ll practice breaking down debt and equity components, apply the WACC formula step by step, and interpret what your results mean for risk and value creation. Designed for professionals with basic finance experience, this course moves beyond theory to practical application — giving you the confidence and tools to explain WACC results to leadership, evaluate project returns, and make smarter, data-driven funding recommendations. By the end, you’ll have a reusable WACC calculator, analytical insights, and the strategic mindset to support capital decision-making in any organization.
Whizlabs
AWS: Analytics and Application Integration
AWS: Analytics and Application Integration course is the fourth course of Exam Prep (SAP-C02): AWS Certified Solutions Architect - Professional Specialization. This course explores Amazon EMR for launching clusters and processing data, AWS Glue for ETL operations, including crawler and job creation. The course also covers data visualization with Amazon QuickSight and search capabilities using Amazon OpenSearch Service. Furthermore, it delves into building scalable applications with AWS Amplify and implementing event-driven architectures using Amazon EventBridge, Amazon SQS, and Amazon SNS for messaging. This course facilitates learners with approximately 3:00-3:30 Hours of Video lectures that provide both Theory and Hands-On knowledge. Also, Graded and Ungraded Quizzes are provided with every module to test learners' ability. - Module 1: Analytics in AWS - Module 2: Application Integration in AWS This course is designed for professionals seeking to demonstrate a comprehensive understanding of AWS data processing, analytics, application integration, and messaging services. It covers crucial concepts like real-time data streams, ETL pipelines, big data processing with EMR, data warehousing, search, application development backends, event-driven architectures, and queuing/notification systems. - Senior Solutions Architects - Enterprise Architects - Cloud Infrastructure Architects - Senior DevOps Engineers By the end of the course, learners will be able to: - Launch, manage, and run workloads on EMR clusters to process large datasets efficiently. - Use Amazon QuickSight and OpenSearch Service for creating dashboards and searching log data. - Initialize Amplify projects, set up backends, and implement authentication and hosting.
IBM
Django Application Development with SQL and Databases
Working with databases is a key skill for developers, especially those in Back-End, Full Stack, and DevOps roles. This course will teach you the fundamentals of relational databases and how to access them from your applications. Some of the essential application development tasks include accessing, processing, and presenting data. Data is stored in various databases, either on-premise or on the cloud, and developers will need to learn how to talk to them via programming languages. In this course, you’ll learn about foundational database concepts, and basics of SQL, a simple and powerful programming language used for managing data. In addition to SQL, you will discover how Object-Relational Mapping (ORM) allows you to use Object-Oriented Programming (OOP) languages like Python to work with databases. You will gain full-stack Django skills by creating a Django web app to persist, process, and present data. And you will get hands-on experience deploying your Django web app on the cloud. Throughout this course you will practice with hands-on labs. You will also complete a final project at the end of the course to demonstrate what you have learnt and have a great addition to your portfolio!
Bringing Ideas to Life Using AI
Supercharge your AI knowledge into practical solutions in this hands-on course. Learn to use generative AI applications to grow your expertise and create real-world solutions, regardless of your professional background. The course emphasizes practical application development, exploring AI agents, cost considerations, and API interactions. You'll learn how to progress from proof-of-concept to minimum viable product, understand when to use custom models, and learn best practices for privacy and governance. The course concludes with practical guidance on implementing AI solutions responsibly and scaling them effectively.
The Economics of Health Care Delivery
In this course, you’ll learn about the key components of health care, and the economics behind their principles and pricing strategies. Professors Ezekiel Emanuel of Penn Medicine and Guy David of the Wharton School have designed this course to help you understand the complex structure of the health care system and health insurance. Through study and analysis of providers and insurance through an economic lens, you’ll learn how basic economic principles apply to both principles and payment methods. By the end of this course, you’ll be able to identify different types of health care providers and understand the dynamic between the providers and patient so you can employ best practices and maximize profit for your health care organization.
Pearson
Linux Security Basics and Beyond: Unit 3
This course is designed for aspiring Linux security administrators who are eager to enhance their skills in safeguarding systems and networks. In this course, you will delve into the world of firewalls, exploring tools like UFW, firewalld, and nftables, each offering unique capabilities for robust protection. You'll gain hands-on experience in configuring and managing these firewalls, ensuring your systems are shielded from unauthorized access. Additionally, you'll learn the practice of securing SSH connections, a critical skill for remote system administration. By the end of this course, you will have a solid understanding of firewall technologies and SSH security, empowering you to implement a multi-layered defense strategy with confidence.