The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
Coursera
STAR-CCM+: Fluid Flow & Thermal Simulation
Learn to perform CFD simulations using STAR-CCM+ through a clear, application-focused introduction to the full simulation workflow. This course teaches you how to prepare a fluid airfoil geometry, define the surrounding fluid domains, and generate high-quality meshes that will solve the governing fluid dynamic equations. You will set up physics models for fluid flow and heat transfer, apply appropriate boundary conditions, and control solver settings for steady and transient simulations. Along the way, you’ll explore mesh refinement strategies, turbulence modeling, convergence monitoring, and common troubleshooting methods. Hands-on exercises guide you in visualizing results with velocity and pressure contours, plots, and force reports to extract meaningful engineering insights. This course is designed for engineering students, CFD practitioners, and mechanical, marine, or aerospace engineers who want hands-on experience setting up, running, and analyzing fluid flow and thermal simulations using STAR-CCM+. Learners should have a basic understanding of fluid dynamics, integral and differential calculus, and numerical methods used to solve the Navier–Stokes equations. By the end of the course, you will be able to confidently build, run, and analyze complete CFD simulations in STAR-CCM+ and apply these skills to real engineering applications.
Tecnológico de Monterrey
Habilidades de pensamiento y solución de problemas
El participante podrá ser capaz de utilizar diversas formas y habilidades del pensamiento o métodos de indagación (methods of inquiry) al aproximarse al análisis de problemas complejos. Contará también con una visión más completa y aprenderá a poner a prueba su propio juicio y las bases de sus suposiciones al resolver problemas y diseñar soluciones. Las habilidades de pensamiento le permitirán sintetizar en un todo coherente (coherent whole) la información recopilada desde diversas perspectivas. El problema crucial de nuestro tiempo es el de la necesidad de un pensamiento apto para aceptar el desafío de la complejidad de lo real, apto para aprender de las relaciones, las interacciones y las implicaciones mutuas, los fenómenos multidimensionales. Este curso también te invita a llevar a cabo una reforma del pensamiento, integrando de manera transdisciplinaria el pensamiento sistémico, el pensamiento crítico y el pensamiento complejo, lo cual nos permitirá contar con nuevas formas de indagación colectiva. Ya no se trata solamente de la Ilustración versus el oscurantismo, el hombre tiene que aprender a pensar de nuevo, incorporando lo mejor de sus habilidades del pensamiento en la solución de problemas.
Packt
Business Continuity and Disaster Recovery
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. Learn how to protect your organization against unexpected disruptions with Business Continuity and Disaster Recovery. This comprehensive course equips you with the skills to create, implement, and evaluate robust continuity plans to safeguard your operations. From understanding the fundamentals to designing actionable strategies, this course ensures you are well-prepared for any challenge. The journey begins with an in-depth look at the principles of business continuity and disaster recovery, providing a clear overview of who, what, when, where, and why these practices are essential. You’ll explore key concepts like Business Impact Analysis (BIA), risk assessments, and core terminologies such as Recovery Point Objectives and Recovery Time Objectives. Next, dive into the step-by-step process of creating, modifying, and implementing a Business Continuity Plan (BCP). The course explores essential components like roles, responsibilities, communication strategies, and cloud-based considerations. You'll also learn how to define Key Risk Indicators (KRIs) and Key Performance Indicators (KPIs) for better evaluation of recovery processes. This course is designed for IT professionals, business managers, and individuals tasked with risk mitigation in their organizations. With no prior experience required, it’s ideal for beginners or those looking to enhance their knowledge in business continuity and IT disaster recovery planning.
LearnQuest
Fundamentals of Big Data
Welcome to Fundamentals of Big Data, the fourth course of the Key Technologies of Data Analytics specialization. By enrolling in this course, you are taking the next step in your career in data analytics. This course is the fourth of a series that aims to prepare you for a role working in data analytics. In this course, you will be introduced to many of the core concepts of big data. You will learn about the primary systems used in big data. We’ll go through phases of a common big data life cycle. This course covers a wide variety of topics that are critical for understanding big data and are designed to give you an introduction and overview as you begin to build relevant knowledge and skills.
Coursera
Instagram Strategy: Effective Content
Learn how to develop a focused Instagram content strategy that aligns your business goals with your audience’s interests. This course covers essential concepts like defining your niche, identifying content pillars, and planning posts using a strategic calendar. You’ll explore platform best practices, analyze audience and competitor insights, and apply your learning by drafting a real content strategy using a provided template. Through expert insights, guided walkthroughs, and hands-on practice, you’ll gain the skills to drive consistent growth on Instagram.
LearnQuest
Foundations of Secure IoT Architecture
This course is designed for professionals and students are seeking a comprehensive understanding of IoT security. Participants will define IoT ecosystem components, identify security challenges, and explore threats and vulnerabilities. They will learn threat modeling techniques, differentiate risk assessment methodologies, and recognize best practices while understanding IoT security standards and controls. The course facilitates the comparison of IoT computing frameworks, evaluation of security implications in architectural approaches, and analysis of secure IoT architectures. It also covers secure communication protocols. Ultimately, participants will gain the expertise to safeguard complex IoT systems, making informed decisions to ensure their security and integrity. To be successful in this course, participants should have a comprehensive understanding of the fundamentals of IoT.
EDUCBA
MapReduce with Hadoop: Analyze, Design & Deploy
By the end of this course, learners will be able to analyze Hadoop’s data processing model, design custom MapReduce jobs, implement combiners and partitioners, build advanced applications with Pig and Java, parse weblogs, create inverted indexes, and deploy projects on Cloudera Local Host. Through a structured progression from foundational concepts to advanced analytics and real-world projects, learners will gain both theoretical knowledge and hands-on expertise. This course stands out by combining step-by-step demonstrations, real-world datasets, and final capstone projects that mirror industry use cases. Learners won’t just memorize commands—they will apply MapReduce for rating analysis, log processing, indexing, and social graph computation, building skills that scale from testing in local mode to deploying on production clusters. The integration of practice programs and examples ensures continuous reinforcement of concepts, making the learning process engaging and practical. Whether you are a beginner seeking a solid foundation or an intermediate learner aiming to expand into advanced MapReduce programming, this course equips you to confidently design, execute, and optimize distributed data processing solutions in the Hadoop ecosystem.
Whizlabs
Fundamentals of Deep Learning
Fundamentals of Deep Learning is a structured course designed for developers, data professionals, and AI enthusiasts who want to build a strong foundation in neural networks and modern deep learning techniques. This course focuses on core deep learning principles, including how artificial neurons work, forward and backward propagation, gradient descent optimization, activation functions, multi-class classification, Convolutional Neural Networks (CNNs), and transfer learning. Through a progressive and practical learning path, you will gain hands-on experience training neural networks, evaluating model performance, and applying deep learning techniques to real-world image classification problems. The course bridges theory and implementation, helping you understand not just how models work, but why they work. Whether you are beginning your journey in artificial intelligence or preparing for advanced machine learning and cloud-based AI roles, this course equips you with the conceptual clarity and practical skills required to confidently build and evaluate deep learning models. This course includes approximately 3:30–4:00 hours of video lectures, combining foundational theory with step-by-step demonstrations. It is divided into focused modules that progressively develop your understanding of neural network architecture and applied deep learning techniques. To reinforce learning, each module includes quizzes and in-video practice questions that test conceptual understanding and practical application. 📘 Module 1: Foundations of Deep Learning and Neural Networks 🧠 Module 2: Deep Learning Models, Computer Vision, and Transfer Learning
Microsoft
Microsoft Azure for AI and Machine Learning
This course provides hands-on experience with Microsoft Azure's AI and ML services. You will learn to set up, manage, and troubleshoot Azure-based AI & ML workflows. The course covers the entire ML lifecycle in Azure, from data preparation to model deployment and monitoring. By the end of this course, you will be able to: 1. Configure and manage Azure resources for AI & ML projects. 2. Implement end-to-end ML pipelines using Azure services. 3. Deploy and monitor ML models in Azure production environments. 4. Troubleshoot common issues in Azure AI & ML workflows. To be successful in this course, you should have intermediate programming knowledge of Python, plus experience with AI & ML infrastructure, core AI & ML algorithms and techniques, and the design and implementation of intelligent troubleshooting agents. Familiarity with statistics is also recommended.
University of Illinois Urbana-Champaign
Accounting Data Analytics with Python
This course focuses on developing Python skills for assembling business data. It will cover some of the same material from Introduction to Accounting Data Analytics and Visualization, but in a more general purpose programming environment (Jupyter Notebook for Python), rather than in Excel and the Visual Basic Editor. These concepts are taught within the context of one or more accounting data domains (e.g., financial statement data from EDGAR, stock data, loan data, point-of-sale data). The first half of the course picks up where Introduction to Accounting Data Analytics and Visualization left off: using in an integrated development environment to automate data analytic tasks. We discuss how to manage code and share results within Jupyter Notebook, a popular development environment for data analytic software like Python and R. We then review some fundamental programming skills, such as mathematical operators, functions, conditional statements and loops using Python software. The second half of the course focuses on assembling data for machine learning purposes. We introduce students to Pandas dataframes and Numpy for structuring and manipulating data. We then analyze the data using visualizations and linear regression. Finally, we explain how to use Python for interacting with SQL data.
Illinois Tech
Competitive Strategy
“Why do some companies outperform others?” That question is particularly important to ask in industries which are fiercely competitive like the tech sector. Companies competing in these industries find it difficult to achieve competitive advantage and sustain it over the longer run. In this course, you will learn about 21st century competition, the forces driving it, and the challenges it poses for companies. Using that as the backdrop, you will learn how to analyze a company's external and internal environments and develop powerful strategies that allow companies to gain a sustainable competitive advantage even in fast-cycle markets. The course will describe companies that have successfully outperformed their competitors even in the fiercely competitive markets of the 21st century. After completing this course, you will be able to: - Describe what a competitive strategy is and how it is formulated. - Analyze the macro-environmental factors and identify opportunities and threats. - Analyze industry forces and draw conclusions about the industry’s profitability. - Describe the concept of competitive advantage and its importance. - Describe the circumstances under which competitive advantage is sustainable. - Analyze the value chain and understand its contribution to competitive advantage. - Explain how companies compete on price using a cost leadership strategy. - Describe how companies compete on their unique features using a differentiation strategy. - Explain how companies can offer both low prices and unique features simultaneously. - Describe how to choose a value-creating competitive strategy. Software Requirements: None
University of Minnesota
Nursing Informatics Training and Education
In this fourth of our five courses, I will go deeper into the training and education leadership skills that are helpful for nursing informatics leaders. I will also guide you through the process of preparing a course document or syllabus for the nursing informatics specialty both in academic settings and in practice or industry. Following are the course objectives: 1. Describe relevant nursing informatics course development in clinical and academic settings to understand similarities and differences in informatics teaching and education across settings. 2. Describe informatics education and training needs for diverse participants with various experience levels to enable development of appropriate training and education materials. 3. Develop a prototype course syllabus and introductory recorded message to apply learning in a simulated setting. 4. Describe the benefits of formal and informal mentoring for nursing informaticians to advance career opportunities and support the nursing informatics specialty.
Coursera
Create surveys with Qualtrics
In this project you will learn how to create a survey using Qualtrics . We will create one for Customer satisfaction. This is critical as it tells us if our customer will come back and buy more from us.
Packt
Technical Writing for Software Developers
Technical writing is an essential skill for software developers to communicate effectively within teams and stakeholders. This course focuses on enhancing writing skills to create clear and concise documentation, crucial for project success and collaboration. By the end of the course, you will be able to produce impactful technical documentation that improves communication and collaboration across development teams. You’ll also gain hands-on experience with modern writing tools and techniques. This course combines theory with practical applications, helping you to not only understand the basics of technical writing but also to integrate advanced strategies for automation, multimedia content, and emerging trends like AI tools for documentation. This course is designed for software developers, whether beginners or experienced, looking to enhance their documentation skills and improve project workflows. It assumes basic technical knowledge and focuses on the best practices for creating and managing technical documentation.
Packt
CompTIA Cloud Essentials+ (CLO-002)
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. The CompTIA Cloud Essentials+ (CLO-002) course provides a comprehensive overview of cloud computing, exploring the core concepts, business principles, and security aspects of cloud environments. You'll learn about various cloud service models such as SaaS, PaaS, and IaaS, and understand the differences between public, private, and hybrid cloud deployments. By diving into the fundamental characteristics of the cloud, such as scalability and elasticity, this course equips you with the essential knowledge to navigate cloud environments effectively. As you progress, you'll gain insights into cloud storage and compute concepts, explore cloud design considerations, and examine how organizations assess, adopt, and migrate to cloud platforms. The course also delves into the financial and vendor aspects of cloud services, providing a holistic view of how businesses utilize the cloud for operational and strategic benefits. Finally, you'll discover how DevOps practices integrate with cloud technologies and learn about cloud cost management techniques. Ideal for individuals looking to gain foundational knowledge in cloud computing, this course will benefit those aiming to pursue a career in cloud services or expand their understanding of cloud environments. It is suitable for professionals with a general IT background or anyone interested in understanding the practical applications of cloud technologies.
Sungkyunkwan University
Zhu Xi and Jeong Yak-yong in Comparative Perspective
Is Confucianism a static relic of the past, or a living, breathing diversity of thought? While we often speak of Confucianism in the singular, this course invites you to explore "Confucianisms"—a dynamic and evolving tradition that has taken different shapes across time and geography. This course offers a comparative philosophical exploration of Zhu Xi, the 12th-century Southern Song Neo-Confucian master, and Jeong Yak-yong (Dasan), the prominent 18th-19th century Joseon scholar. The lectures contrast Zhu Xi’s orthodox Neo-Confucian framework, which focuses on universal principle (Li), with Dasan’s innovative reinterpretation, which emphasizes human inclination and empirical performance (Giho/Taste). Though separated by 500 years, both thinkers stood at critical intellectual crossroads. Zhu Xi synthesized a metaphysical defense of Confucianism against Buddhism and Daoism; centuries later, Dasan challenged that very orthodoxy to address the arrival of Western Learning and the practical needs of Joseon society. Across eight lessons, the course explores: • Ethical Frameworks: Contrasting the goal of recovering an innate virtuous nature (Zhu Xi) with the goal of achieving virtue through concrete actions (Dasan). • Nature and Cultivation: How different views on human nature shape the practice of "Sympathetic Concern" (Shu) and moral development. • Sagehood and the Good Life: Divergent visions of what it means to be a "Sage" and how individuals can find joy and fulfillment. • Extended Topics: Comparative perspectives on whether animals possess morality and how music reflects cosmic and moral order. By placing their views on human nature, morality, and self-cultivation side-by-side, we uncover the hidden diversity of the Confucian soul.