The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
28DIGITAL
The Impact of Technology
In this course, you will learn how to use theories and methods to make predictions of the potential impact of new technology – in general, as well as for a specific application. This will prepare you for the changes that we are facing in society, and also help you take advantage of transformations that are driven by technology. The Impact of Technology course takes a broad approach, including social and economic factors. You will study historical examples and learn to recognize recurring patterns and cycles. The curriculum includes general innovation theories, foresight methodology, value chain disruption, and strategy. The general process is as follows. First, you to learn how to draw a map of the potential future business landscape. After that, you identify interesting future business roles in emerging value networks. Finally, we find a path from where we are today to a desired end state. You will analyze how an industry or market may change if the technology which is available today is fully implemented in a 10 to 20-year perspective. In addition, you will identify barriers to such a development and make estimates regarding the timing. The course includes a number of assignments to facilitate your learning – some of them compulsory. We all know that the future can’t be fully predicted in detail. However, the methods presented in this course will help you identify potential consequences. In this way, you will get a toolbox for decision-making in the areas of technology, investments, career path, research & development, or portfolio management.
Coursera
OutSystems Fundamentals Create Your First Web App
Getting Started with OutSystems: Build Your First Web App is a beginner-friendly course designed to help aspiring developers bring their first app idea to life—visually, confidently, and without writing code. Whether you're transitioning from spreadsheets or just starting your low-code journey, this course walks you through the fundamentals of building real, data-connected web apps using OutSystems. You'll learn how to model data structures, design responsive interfaces, and connect everything using OutSystems' intuitive drag-and-drop tools. Through guided videos, hands-on labs, coach-driven reflections, and a capstone project, you'll experience the full development flow—from sketching your first logic flow to publishing your live app. By the end, you won’t just understand how OutSystems works—you’ll have a working, responsive app and the confidence to keep building. Whether you're solving a team problem or exploring digital product ideas, this course helps you move from concept to launch—faster than you thought possible.
Logical Operations
R Programming: Conditionals, Loops, Functions, and Packages
In this course, you'll continue to develop your R programming skills by writing conditional statements and loops—two of the most important constructs in any programming language. You'll also structure code for reuse by defining and calling functions, applying loop functions, and managing R packages. This is the second course in a multi-course Specialization. All of the courses in this Specialization require that you have R and R Studio installed on a Windows PC. The course setup instructions provided in the first course go into more detail about the hardware and software requirements.
Pontificia Universidad Católica de Chile
Formación docente basada en la práctica para desarrollar habilidades del siglo XXI
El curso presenta, en primer lugar, las habilidades del siglo XXI y su relevancia para la formación docente con el fin de preparar docentes para la sociedad del conocimiento, capaces de pensar de manera crítica y creativa y con habilidades de comunicación y colaboración para promover oportunidades de aprendizaje equitativas y de calidad en los contextos escolares. En segundo lugar, se discute sobre el enfoque basado en la práctica para la formación docente y la necesidad de ofrecer andamiajes que les permitan a los docentes aprender a poner en acto prácticas generativas complejas que requieren conocimientos especializados. En la actualidad, los docentes necesitan aprender sobre cómo construir explicaciones pedagógicas usando modelos, facilitar una discusión productiva o dar retroalimentación efectiva, entre otras. Además, se presentan metodologías específicas o pedagogías de la práctica para la formación docente a través de las cuales representar, descomponer las prácticas en sus componentes y aproximarse de manera más efectiva a estas prácticas generativas capaces de promover aprendizajes equitativos y de calidad en los estudiantes del sistema educativo. En tercer lugar, se presentan las condiciones necesarias para la implementación de un currículo basado en la práctica y se enfatiza como metodologías innovadoras y mediadas por tecnología digital pueden aumentar el conocimiento práctico y promover el desarrollo de las habilidades del siglo XXI a través de la presentación de modelos de prácticas generativas. Por último, se presentan ejemplos concretos de metodologías de docencia universitaria a través de las cuales se promueven las habilidades del siglo XXI, prácticas generativas y pedagogías de la práctica para favorecer que otros docentes universitarios se animen a utilizar estas metodologías para la formación de docentes capaces de generar espacios de transformación social. Las propuestas de este curso se basan en la investigación del FONDECYT 1180024 (“Using technology to scaffold critical thinking, collaboration, creativity and communication in teacher education”) y del Convenio de Desempeño PUC-FID de la Facultad de Educación de la Pontificia Universidad Católica de Chile.
University of Michigan
Model Thinking
We live in a complex world with diverse people, firms, and governments whose behaviors aggregate to produce novel, unexpected phenomena. We see political uprisings, market crashes, and a never ending array of social trends. How do we make sense of it? Models. Evidence shows that people who think with models consistently outperform those who don't. And, moreover people who think with lots of models outperform people who use only one. Why do models make us better thinkers? Models help us to better organize information - to make sense of that fire hose or hairball of data (choose your metaphor) available on the Internet. Models improve our abilities to make accurate forecasts. They help us make better decisions and adopt more effective strategies. They even can improve our ability to design institutions and procedures. In this class, I present a starter kit of models: I start with models of tipping points. I move on to cover models explain the wisdom of crowds, models that show why some countries are rich and some are poor, and models that help unpack the strategic decisions of firm and politicians. The models covered in this class provide a foundation for future social science classes, whether they be in economics, political science, business, or sociology. Mastering this material will give you a huge leg up in advanced courses. They also help you in life. Here's how the course will work. For each model, I present a short, easily digestible overview lecture. Then, I'll dig deeper. I'll go into the technical details of the model. Those technical lectures won't require calculus but be prepared for some algebra. For all the lectures, I'll offer some questions and we'll have quizzes and even a final exam. If you decide to do the deep dive, and take all the quizzes and the exam, you'll receive a Course Certificate. If you just decide to follow along for the introductory lectures to gain some exposure that's fine too. It's all free. And it's all here to help make you a better thinker!
EDUCBA
Design and Integrate CCTV Systems Using AutoCAD
Learners will design, analyze, and integrate CCTV surveillance systems using professional AutoCAD workflows. This course equips learners with the practical skills needed to create accurate camera layouts, configure multi-floor surveillance plans, and document complete CCTV system outputs aligned with real-world installation requirements. Throughout the course, learners gain hands-on experience applying industry-standard methods for camera selection, placement optimization, communication cabling, floor-level coordination, and equipment allocation. They also learn how to produce structured output drawings that support technicians during physical installation, ensuring the design translates seamlessly from blueprint to deployment. This course is uniquely built around a real case study, guiding learners step-by-step through an entire CCTV design process—from foundational concepts to multi-floor integration. Instead of theoretical explanations alone, learners engage directly with AutoCAD-based CCTV layouts that mirror the complexity of residential and commercial environments. By the end of the course, learners will be able to confidently produce professional CCTV plans used in security system design, facility management, and surveillance infrastructure projects, making them industry-ready for roles in security engineering, CAD drafting, and surveillance system planning.
EDUCBA
Apply Statistical Analysis Using Minitab for Beginners
Learners will be able to navigate the Minitab interface, apply essential statistical tools, and create meaningful data visualizations to support data-driven decision-making. By the end of this course, learners will confidently use Minitab’s menus, perform basic statistical analysis, explore predictive analytics features, and interpret graphical outputs such as probability distributions. This beginner-focused course is designed to provide a structured, hands-on introduction to Minitab without requiring prior statistical or programming experience. Learners benefit from a clear, step-by-step approach that emphasizes practical usage over theory, making complex analytical concepts accessible and easy to apply. Through guided demonstrations, menu-driven workflows, and visual assistants, learners quickly build confidence in working with real datasets. What makes this course unique is its emphasis on learning Minitab through exploration of its interface and tools exactly as they are used in professional environments. Instead of overwhelming learners with formulas or advanced techniques, the course focuses on developing practical skills that can be immediately applied in quality management, operations, analytics, and academic projects. This makes the course ideal for students, professionals, and beginners seeking a fast, effective entry into statistical analysis using Minitab.
Edureka
Metadata Management and Data Catalogs
Metadata is the control plane of every modern data platform, yet most data teams treat it as an afterthought. This course changes that. You will learn how metadata governs data discovery, trust, lineage, compliance, and automation across enterprise systems, and you will build these capabilities hands-on using OpenMetadata, one of the fastest-growing open-source metadata platforms in the industry. Throughout this course, you will work directly with OpenMetadata to build business glossaries, assign data ownership, track end-to-end lineage, classify sensitive assets, query metadata via REST APIs, and measure platform adoption. Each concept is reinforced through step-by-step hands-on demonstrations that you can follow along on your own setup, pause, replicate, and practice at your own pace. By the end of this course, you’ll be able to: - Define metadata types (technical, business, operational), explain the metadata lifecycle, and identify how metadata becomes stale across modern data systems. - Navigate and operate a data catalog using OpenMetadata — including search, glossary creation, ownership assignment, and certification tagging. - Track data lineage end-to-end, perform impact analysis, and implement metadata-driven governance for regulatory compliance and sensitive data classification. - Automate metadata workflows using OpenMetadata APIs, react to metadata change events, and measure platform health and adoption at scale. This course is designed for a diverse audience: Data Engineers building or managing data pipelines, Analytics Engineers moving into platform or governance roles, Data Platform Teams operating data infrastructure, Data Governance Leads implementing governance frameworks, and Senior Analysts transitioning into platform-level responsibilities. Prior familiarity with basic SQL, data pipelines, and data warehouse concepts is recommended. Familiarity with Docker is helpful for the lab environment but not strictly required — setup instructions are provided. Take control of your organization’s metadata layer and build the skills needed to design, operate, and scale a metadata management program using OpenMetadata.
Google Cloud
Chronicle SIEM: Outcomes & Functions
This is a self-paced lab that takes place in the Google Cloud console. In this lab, you will learn more about the Outcomes and Functions of the Chronicle security solution.
Intel
Intel Telco Cloud Technologies
The shift to cloud-native deployment models and containerized microservices empowers CoSPs to deploy composable applications anywhere in the infrastructure. Transformation technologies for Telco Networking have built upon Network Functions Virtualization (NFV) and Soft Defined Networking (SDN) for use in network functions virtualization implementations. The next phase of network transformation is adopting software disaggregation using a Cloud Native approach, capable of running scalable applications across Cloud deployments thus enabling loosely coupled systems that are resilient, manageable, and observable, combined with robust automation to support Operators to move faster and bring innovation with increased operation efficiency. Explore further the key technologies required by Cloud Infrastructure for Telco Cloud.
The State University of New York
International Cyber Conflicts
By nature, cyber conflicts are an international issue that span across nation-state borders. By the end of the course, you will be able to apply the knowledge gained for analysis and management of international cyber incidents and conflicts including for activities such as development of policy related to cybercrime and cyberwarfare. Management of cyber incidents and conflicts requires an interdisciplinary perspective including an understanding of: 1) characteristics of the cyber threats and conflicts themselves, 2) international efforts to reduce and improve cyber security, and 3) psychological and sociopolitical factors. The course is designed to reach an international audience and will encourage discussion on relevant current events among participants to enrich the experience with various personal and cultural perspectives on cutting-edge issues. In addition, assignments and other assessments will supplement video lectures and selected readings to ensure application of the material. After taking this course you will be able to: • Identify different types of actors involved in cyber threats (individuals, organizations & nation-states) • Distinguish between different types of threats and issues in cyber security including, data theft, political espionage, critical infrastructure protection, and propaganda • Detail the basic characteristics of the Internet infrastructure and international efforts to address Internet governance • List several international efforts to address cyber crime and espionage • Evaluate how principals that govern international conflicts might be applied in context of cyber security • Apply different psychological theories of human motivation and cooperation and communication and political theories in analysis of different international issues related to cyber security including censorship, media operations and role of social technologies. Grading: Your grade is assessed based on discussion posts and quizzes. Individual taking this course for credit (i.e. students at the University at Albany y will be required to engage in additional activities communicated to them directly). Recommended Background: No background knowledge or skills are necessary, but an understanding and familiarity of cyber security, Internet infrastructure and international law would be advantageous for anyone who participates in the course. ACKNOWLEDGEMENTS Ersin Dincelli and Nic DePaula were the instructional designers for the course who assisted in the recording of the videos, reviewing material, creating slides, assessments and some of the content. Without their tremendous effort this would not have been possible. We also acknowledge the financial support for the recordings from the University at Albany as well as the support from Media and Marketing. Finally, thanks to Lisa Stephens who is the SUNY liaison to Coursera for being a strong supporter of the MOOC.
Coursera
Create a Financial Statement using Microsoft Excel
By the end of this project, you will be able to complete a financial statement with Microsoft Excel, composed of a transactions page, profit and loss statement, and balance sheet. You will learn how to enter your business transactions and interpret the data presented in the profit and loss statement. You will also learn about the components of a balance sheet and will have a better understanding of how a financial statement can be used to help track and present financial information for your company.
University of Michigan
Reigniting Employee Engagement
Welcome to Reigniting Employee Engagement with Professors J. Sanchez-Burks and Cheri Alexander. Engagement at work is tenuous at best. Stress and unhappiness remain elevated resulting in a myriad of challenges that limit the ability for us and others to thrive in our jobs. This course introduces three interactive levers, which can be used to reignite employee engagement. These levers include strategies and tools for surfacing what others care about, how to increase their confidence and ways to take better control of the comparisons that influence how we make sense of our environment. This course will use interactive tools, videos and animated vignettes to develop a strategic plan for using these levers in your work, and possibly in your personal life. This course aims to help you go forward with positive personal engagement in your lives, teams and organizations. We look forward to this partnership in learning and are excited to provide you with engaging content and stimulating exercises that will be fun and reflective.
KodeKloud
Kubernetes Basics for DevOps
Why You Need To Learn Kubernetes? Learning Kubernetes is essential for any DevOps professional. DevOps engineers are always in demand. The average Silicon Valley salary for a DevOps engineer is 20% higher than that of a software engineer. DevOps engineers make an average of $140,000 to $200,000 annually. And one of the most in-demand skills is Kubernetes Deployment. Kubernetes is an open-source system for automating the deployment, scaling, and management of containerized applications. It was originally designed by Google and is now maintained by the Cloud Native Computing Foundation. Kubernetes is at the cutting edge of application deployment. The best way to kick-start your DevOps career is by learning how to effectively deploy Kubernetes by taking our Kubernetes for Beginner course. How Our Beginner’s Course Will Help You Learn Kubernetes This course is for absolute Kubernetes beginners. With zero knowledge about Kubernetes, once you take this course and complete all of the hands-on coding exercises, you will be ready to deploy your applications on a Kubernetes platform. As a beginner, you will start your journey and go through 6 simple, step-by-step lectures. Each lecture and demo is designed to give you the time to grasp all the concepts fully. The most important part of the course is the series of hands-on coding exercises accompanying each central concept. Practice, Kubernetes!!! But lectures alone won’t give you the skills you need to succeed as a DevOps engineer. In this course, you will learn by doing. Each exercise will help you ensure that you have truly mastered the concepts and will give you the confidence to apply your Kubernetes knowledge in real-world situations. You will develop your own services using Kubernetes configuration files for different use cases right in your browser. The coding exercises will validate your commands to ensure they are written correctly. Start Mastering Kubernetes Today Don’t waste any more time wondering what course is best for you. You’ve already found it. Get started by developing the Kubernetes skills you need to succeed as a DevOps engineer with our Kubernetes for Beginner course. Legal Notice: Kubernetes and the Kubernetes logo are trademarks or registered trademarks of The Linux Foundation. in the United States and/or other countries. The Linux Foundation and other parties may also have trademark rights in other terms used herein. This course is not certified, accredited, affiliated with, nor endorsed by Kubernetes or The Linux Foundation. Course Update History - Feb 17, 2024 – Lab environment upgrade to 1.29v - June 15, 2023 – Lab environment upgrade to 1.27v - Feb 2, 2023 – Lab environment upgrade to 1.26v - Oct 10, 2022 – Lab environment upgrade to 1.24v - May 10, 2022 – Lab solutions added - May 1, 2022 – Lab environment upgrade to v1.23 - Oct 20, 2021 – Lab environment upgrade to v1.22 - May 10, 2021 – Lab environment upgrade to v1.20 - Aug 24, 2020 – Lab environment upgrade to v1.19 - Jun 16, 2020 – Lab environment upgrade to v1.18
Universidades Anáhuac
Introducción a R
La ciencia de datos es un área que hoy ofrece herramientas analíticas muy poderosas a las organizaciones; aquellas que han incorporado estas prácticas rápidamente han podido obtener ventajas competitivas y tomar mejores decisiones con la información que obtienen. Ante las características actuales de sociedades generadoras de millones de datos, dominar adecuadamente el análisis de datos es una necesidad para cualquier organización. Este curso brinda una introducción al lenguaje R para el análisis de datos con un enfoque práctico desde el inicio. Los ejemplos y actividades son fácilmente relacionables a las tareas que un analista realiza de forma regular, tales como manipular datos y presentar gráficas o resúmenes. Al finalizar este curso podrás aplicar en tu organización o de manera personal las herramientas brindadas en él y al mismo tiempo, estarás preparado para cursos más avanzados de R.
American Psychological Association
Ethics of Psychological Research
This is primarily aimed at first- and second-year undergraduates interested in psychology, ethics in research methods, and quantitative research methods along with high school students and professionals with similar interests.