The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
Coursera
Interactive eLearning and Assessment with Edulastic
By the end of this project, you will be ready to use Edulastic to identify gaps and measure growth as your students learn. With Edulastic, you can not only assess and measure your students’ progress, but you can also differentiate student assignments. Each student in your class will receive instruction in any subject that is tailored to their unique learning needs. Edulastic is essential for distance learning but also valuable for learning in the classroom, whether you use a hybrid model or are looking for ways to engage students with content at home. Throughout each task, we will work together to ensure that you are ready to use Edulastic with your students right away.
Coursera
How to Develop Standard Operating Procedures (SOPs)
Every organization needs to perform crucial functions in a repeatable and reliable way, and to do that it needs Standard Operating Procedures. The main purpose of Standard Operating Procedures is to optimise efficiency, maintain safe working conditions and assure quality. Not all activities or process steps in an organisation need procedures, but SOPs are essential for activities where consistency of operation is required for example where there are safety or risk issues, where quality is critical or where cost control is vital. This course is designed for managers, supervisors, team leaders, and professionals seeking to enhance their knowledge and skills in maximizing workforce productivity. It is also ideal for students of business who aspire to understand the intricacies of operational efficiency. Whether you are in a leadership position or aiming to step into one, this course will equip you with the methodologies and strategies needed to drive your team towards peak performance. There are no pre-course requirements for this course. It is open to all individuals regardless of their prior knowledge or experience in the field. This inclusive approach ensures that anyone interested in learning about workforce productivity can benefit from the comprehensive guide provided in this course. By the end of this course, learners will be able to assess the importance of standard operating procedures (SOPs) to business organizations, understanding their critical role in ensuring consistency and efficiency. They will recognize the characteristics of an effective SOP and identify which workplace activities or processes require SOPs to optimize performance. Additionally, learners will explore the role of SOPs within the lean management system, appreciating how these procedures contribute to continuous improvement and waste reduction.
Northeastern University
Intro to Managing Healthcare Supply Chain Operations
This course is best suited for individuals currently in the healthcare sector, as a provider, payer, or administrator. Individuals pursuing a career change to the healthcare sector may also be interested in this course. In this course, you will have an opportunity to explore concepts and topics related to the design and management of operations and supply chains in the healthcare sector. After an introduction to operations and supply chain management, you will examine the different dimensions and principles of quality and reflect on approaches to operational process improvement. Throughout this course, you will be given the opportunity to apply the course concepts to an operational process improvement project.
LearnKartS
Git Fundamentals
Whether you're new to software development or want to improve your workflow, learning Git is vital. This Git Fundamentals course is a practical, beginner-friendly introduction to the world's most popular version management system. This course makes it easy and clear to learn the basics of Git and more advanced approaches through engaging videos, real-world examples, and hands-on exercises. You'll learn to handle source code with confidence, set up and use repositories, work with branching and merging, and comprehend the HEAD pointer's role. Discover how GitHub fits into the picture—cloning, forking, creating SSH keys, and collaborating on projects like a pro. This Git certification course is not just theory; you will practice crucial commands such as init, commit, push, pull, rm, and others to gain true confidence. Whether you're an ambitious developer, DevOps engineer, or tech enthusiast, this course will help you gain job-ready Git skills. In the end, you'll have mastered Git as a natural extension of your development process.
University of Illinois Urbana-Champaign
IoT Networking
This course builds on the first two courses in this series: IoT Devices and IoT Communications. Here you will begin to learn enterprise IoT. Enterprise networks, from first-hop access to backend IoT services are critical because they allow your IoT devices to reach the Internet and achieve their true intelligence. IoT places extreme demands on first-hop access - ultra-dense deployments challenge spectrum allocation, the need to provide strong segmentation yet let devices reach into IoT services such as gateways and databases. During this week you will begin to learn about these challenges, and the underlying protocols and technologies of wired networks that can help you to address them.
Packt
Cisco CCNP Enterprise ENARSI (300-410)
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. Unlock the power of advanced enterprise networking with the Cisco CCNP Enterprise ENARSI (300-410) course. This comprehensive course is designed to equip you with the in-depth knowledge and hands-on skills to troubleshoot and optimize enterprise networks, preparing you for the Cisco ENARSI certification and real-world challenges. By mastering concepts such as Layer 3 technologies, VPNs, infrastructure security, and advanced troubleshooting techniques, you'll elevate your network engineering expertise. The course begins with a deep dive into Layer 3 technologies, including troubleshooting administrative distances, route maps, and loop prevention mechanisms. You'll learn essential concepts like routing protocol redistribution, policy-based routing, and VRF Lite. The curriculum also covers EIGRP, OSPF, and BGP fundamentals, ensuring you're proficient in managing and optimizing diverse routing protocols. As the course progresses, you'll explore VPN technologies, including MPLS and DMVPN, learning how to configure and troubleshoot scalable and secure enterprise VPNs. The infrastructure security module addresses AAA, ACLs, CoPP, and IPv6 First Hop Security, arming you with the tools to protect enterprise networks effectively. Additionally, infrastructure services such as SNMP, Syslog, and Cisco DNA Center troubleshooting are thoroughly explained. This course is perfect for network engineers, IT professionals, and CCNP candidates aiming to deepen their knowledge of enterprise networking. With intermediate-level prerequisites, such as basic knowledge of CCNA-level networking, this course ensures a seamless learning experience while preparing you for advanced certification and professional growth.
Infosec
CompTIA Security+ 701
This course prepares individuals to successfuly pass the CompTIA Security+ SY0-701 certification exam. It covers each of the five domains in the Security+ exam: General Security Concepts; Threats, Vulnerabilities, and Mitigations; Security Architecture; Security Operations; and Security Program Management and Oversight. Each course will explain the concepts and terminology covered on the exam and include helpful analogies, memory aids, and practical applications of the material to better remember important key points, with each video providing targeted details of important individual topics or similar, related concepts.
Packt
Applied Machine Learning and Model Optimization
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 dives deep into applied machine learning and model optimization, covering everything from foundational concepts to advanced algorithms. You'll gain hands-on experience working with different types of machine learning models, evaluating their performance, and fine-tuning them for optimal results. The course emphasizes practical, real-world applications, with interactive projects and mini-projects to ensure you can implement what you learn. Throughout the course, you'll explore core machine learning algorithms such as regression, classification, ensemble methods, and advanced techniques like XGBoost and LightGBM. You'll also focus on model optimization, including hyperparameter tuning, cross-validation, and regularization techniques. These skills will allow you to enhance the performance of your models, even in complex scenarios. This course is designed for learners who already have a basic understanding of machine learning and wish to build more advanced skills in model building and optimization. It is ideal for those looking to pursue careers in data science, machine learning engineering, or AI development. By the end of the course, you will be able to implement various machine learning algorithms, optimize model performance using hyperparameter tuning, and evaluate models effectively for real-world tasks.
Corporate Finance Institute
Fundamentals of Credit
Credit plays an important role in the lives of many individuals; it’s also a key source of funding for businesses making capital expenditures (CAPEX). In this course, we discuss important lending topics like the difference between traditional loans and trade credit, different types of interest, different types of loans, where collateral security fits in, and how to build an amortization schedule for reducing term debt. We cover an overview of the 5 Cs of Credit framework and how it may influence different loan characteristics before diving into some qualitative assessment tools and a list of the key financial ratios that an analyst would look at when evaluating a company’s creditworthiness. We also take a step back to look at the credit landscape to help learners understand what kinds of career opportunities exist for aspiring credit professionals. Upon completing this course, you will be able to: • Define what credit is and how it’s created. • Identify some of the different career opportunities available to credit professionals. • Compare different types of interest payments and loan characteristics to help inform an appropriate credit structure. • Explain what capital expenditure (or CAPEX) is and how debt financing can support it. • Explain the 5 Cs of Credit framework and how it informs risk assessments. • Identify the important qualitative and quantitative techniques, including key financial ratios used in the risk assessment process. This Fundamentals of Credit course is perfect for any aspiring or early-stage credit professionals, including business and commercial bankers, credit analysts, real estate lenders, equipment finance, loan & mortgage brokers, and other private (non-bank) lenders.
The University of Chicago
Global Warming I: The Science and Modeling of Climate Change
This class describes the science of global warming and the forecast for humans’ impact on Earth’s climate. Intended for an audience without much scientific background but a healthy sense of curiosity, the class brings together insights and perspectives from physics, chemistry, biology, earth and atmospheric sciences, and even some economics—all based on a foundation of simple mathematics (algebra).
University of Virginia
Cost and Economics in Pricing Strategy
How much should you charge for your products and services? Traditionally, businesses have answered this question based on the cost to produce or provide their goods and services. This course shows you the economic factors behind pricing based on cost and the pros and cons of a cost-based pricing approach. Developed at the Darden School of Business at the University of Virginia, and led by top-ranked Darden faculty and Boston Consulting Group global pricing experts, the course provides the practical and research-based models and methods you need to set prices that maximize your profits. By the end of this course, you’ll be able to: --Apply knowledge of basic economics to make better pricing decisions --Recognize opportunities for price discrimination—selling the same product at different prices to different buyers—and recommend strategies to maximize sales and profits --Calculate three types of price elasticities to determine the impact of price on demand --Analyze and apply different pricing models -Cost-plus pricing -Marginal cost-plus pricing -Peak-load pricing -Index-based pricing --Evaluate the impact of channel intermediaries and customer lifetime value on pricing
EDUCBA
Ethical Hacking with Kali Linux: Analyze & Defend
By the end of this course, learners will be able to perform advanced reconnaissance using Nmap and DNS tools, evaluate social engineering and phishing techniques, differentiate between malware types, and simulate backdoor exploitation with persistence strategies. The course emphasizes hands-on application in Kali Linux, enabling students to develop practical penetration testing skills. Participants will benefit from structured, module-wise learning that covers both technical and human-centric aspects of cybersecurity. From gathering domain intelligence with OSINT tools to analyzing phishing attacks and defending against rootkits, the course equips learners with actionable skills used by professional ethical hackers. What makes this course unique is its balance between technical demonstrations and real-world attack simulations. Learners will not only understand how attacks occur but also practice defending against them in a controlled environment. This dual perspective—attacker and defender—ensures a comprehensive understanding of penetration testing and cybersecurity defense strategies.
Amazon Web Services
Using Amazon Q to Enhance Applications and Developer Productivity
Dive into the transformative world of AI-assisted development with Amazon Q. This hands-on course guides you through practical applications of Amazon Q in real-world software development scenarios, using a sample application as a learning foundation. Through robust storytelling and comprehensive demonstrations, you'll discover how to leverage Amazon Q to streamline development workflows, enhance code quality, and boost productivity across development teams.
Real Madrid Graduate School Universidad Europea
Future of data and technology in football
This course explores the emerging technologies that will shape the future of football analytics, from advanced tracking systems and live data pipelines to machine learning, LLMs, and AI-driven decision tools. Learners will understand how innovations such as computer vision, skeleton tracking, body-orientation models, and contextual load monitoring are transforming the way clubs analyze performance, manage fatigue, and make in-match tactical adjustments. The course also examines how AI is revolutionizing scouting and recruitment: from automated LLM-generated scouting reports and narrative “wordalisation,” to web scraping, social-media analysis, and multimodal data pipelines. Finally, learners will explore cutting-edge developments in performance AI, including reinforcement-learning concepts inspired by AlphaZero, supervised learning for tactical tagging, and AI assistant-coach systems that recognize patterns across thousands of match situations. By completing this course, learners will gain a forward-looking understanding of how machine learning, automation, and next-generation data systems will redefine competition, recruitment, coaching, and performance across the football industry.
Coursera
Zero-Shot & Few-Shot Learning: Master AI with Minimal Data
Zero-Shot & Few-Shot Learning is an intermediate-level course designed for data scientists, ML engineers, and AI practitioners who want to build models that perform well—even when labeled data is limited. Traditional supervised learning breaks down when examples are scarce or tasks are constantly evolving. This course shows you how to solve that problem using cutting-edge zero-shot and few-shot learning techniques. You'll learn how to apply pre trained models, semantic embeddings, and transfer learning to generalize across tasks without retraining from scratch. Through case-driven videos, hands-on labs, and decision-focused projects, you'll explore tools like prompt engineering, prototypical networks, and contrastive learning. Along the way, you'll build and defend full pipelines tailored to real-world constraints—choosing the right method based on data availability, task requirements, and deployment goals. Whether you're diagnosing fraud with few samples or classifying new product types without labels, this course will equip you to build smarter, leaner models that learn more with less.
Google Cloud
Preparing for Professional Data Engineer Journey - Español
Este curso ayuda a los participantes a crear un plan de estudio para el examen de certificación de PDE (Professional Data Engineer). Los alumnos conocerán la amplitud y el alcance de los dominios que se incluyen en el examen. Además, evaluarán su nivel de preparación para el examen y crearán un plan de estudio personal.