The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
Universidad de los Andes
Fundamentos de probabilidad y aplicaciones
Actualmente la probabilidad se ha convertido en una disciplina fundamental para científicos, ingenieros, economistas y administradores. La probabilidad es una poderosa herramienta, pero es, ante todo, una forma de pensar. Tanto en el mundo de los negocios, como en el campo de la salud y en las ciencias sociales, entre otros, cada vez es más relevante el entendimiento de los fenómenos y situaciones de naturaleza probabilística (no determinística), y de desarrollar modelos basados en el análisis de datos para cuantificar el riesgo con el propósito de tomar mejores decisiones. Es entonces importante entender los conceptos básicos sobre los cuales se establecen los pilares de esta disciplina, los cuales permitirán más adelante convertir la probabilidad en una herramienta básica para la conceptualización y la solución de problemas reales. El curso tiene como objetivo principal que los participantes adquieran una formación sólida en los conceptos más importantes de probabilidad, y sus aplicaciones. Se hace especial énfasis en que los participantes logren una adecuada comprensión y utilización de los modelos de naturaleza probabilística en la solución de problemas de la vida real que comportan riesgo e incertidumbre. El curso tiene un buen balance entre el rigor en el tema y la presentación del contenido de una forma simple, con base en ejemplos sencillos basado en situaciones reales, y cuenta con videos y ejercicios orientados a facilitar la comprensión de los conceptos que se cubren.
EDUCBA
Project on Logstash - Large-Scale Logging Mechanism
This hands-on course equips learners with the practical skills to design, deploy, and debug end-to-end data processing workflows using the ELK (Elasticsearch, Logstash, Kibana) stack. Through guided case studies and real-world scenarios, participants will install and configure Elasticsearch, build and manage containerized applications using Docker and Docker Compose, and analyze service data with Logstash and Kibana. Learners will progressively construct multi-service pipelines, manage configurations using YAML, and monitor application behavior across interconnected containers. By the end of the course, participants will be able to construct scalable logging infrastructures, orchestrate services across environments, and evaluate and troubleshoot real-time application logs using Kibana. Whether you're an aspiring DevOps engineer or a backend developer, this course will help you apply theoretical concepts in real-world deployment scenarios such as define, configure, construct, implement, analyze, and evaluate.
Scrum Alliance
Coaching for Change: Making Agility Work
This course gives you access to the powerful systems-coaching tools agile leaders use to help entire organizations—and the teams within them—think, act, and grow as one aligned system. You'll explore how to define, reveal, and serve systemic patterns; how to enter complex group dynamics; how to work with roles and navigate conflict; and ultimately how to guide transformation that sticks. Using these approaches, regardless of whether you're a coach, scrum master, project manager, or agile leader, you'll gain the ability to drive strategic alignment, boost collaboration across functions, and nurture adaptability in evolving environments. If you're already familiar with agile coaching, this course offers a broader lens to see and influence organizational patterns for deeper impact. If you're newer to systems thinking, you'll discover a structured, scenario-based path to mastering high-leverage coaching techniques. If you've ever wanted to help your organization thrive through complexity and change, this course will show you how.
Packt
Nmap
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. Dive into the world of network scanning and security with Nmap, a powerful administrative utility used for network exploration. This course covers the fundamental and advanced techniques required to use Nmap effectively, from installation to performing detailed scans on your network. By the end, you'll be able to confidently scan networks, identify security vulnerabilities, and understand different port scanning techniques. You'll begin by learning how to install Nmap on various operating systems such as Windows, Ubuntu, and CentOS. As you progress, you’ll explore Nmap's basic functionality, including scanning IP ranges, using utilities like nslookup and dig, and discovering hosts with different ping methods. The course will then dive into more complex scanning methods like advanced port scanning, including techniques like IP ID idle scan and FTP bounce scanning. This course is designed for network administrators, security professionals, and anyone interested in learning more about network scanning and security testing. No prior experience with Nmap is required, though basic networking knowledge will help you grasp concepts more easily.
Google Cloud
Networking in Google Cloud: Routing and Addressing - Français
Bienvenue dans le deuxième cours de la série "Networking in Google Cloud", intitulé "Routing and Addressing". Dans ce cours, nous allons nous intéresser aux concepts centraux du routage et de l'adressage dans le contexte des fonctionnalités réseau de Google Cloud. Dans le module 1, nous poserons les bases en explorant le routage et l'adressage réseau dans Google Cloud. Nous verrons des composants clés tels que le routage IPv4, l'utilisation de vos propres adresses IP (BYOIP, Bring Your Own IP) et la configuration de Cloud DNS. Dans le module 2, nous nous concentrerons sur les options de connexion privée. Nous explorerons des cas d'utilisation et des méthodes permettant d'accéder à Google et à d'autres services de façon privée à l'aide d'adresses IP internes. À la fin de ce cours, vous aurez compris comment acheminer et gérer efficacement votre trafic réseau dans Google Cloud.
University of California, Davis
Computational Social Science Capstone Project
CONGRATULATIONS! Not only did you accomplish to finish our intellectual tour de force, but, by now, you also already have all required skills to execute a comprehensive multi-method workflow of computational social science. We will put these skills to work in this final integrative lab, where we are bringing it all together. We scrape data from a social media site (drawing on the skills obtained in the 1st course of this specialization). We then analyze the collected data by visualizing the resulting networks (building on the skills obtained in the 3rd course). We analyze some key aspects of it in depth, using machine learning powered natural language processing (putting to work the insights obtained during the 2nd course). Finally, we use a computer simulation model to explore possible generative mechanism and scrutinize aspects that we did not find in our empirical reality, but that help us to improve this aspect of society (drawing on the skills obtained during the 4th course of this specialization). The result is the first glimpse at a new way of doing social science in a digital age: computational social science. Congratulations! Having done all of this yourself, you can consider yourself a fledgling computational social scientist!
Coursera
Crear una presentación empresarial con Microsoft Powerpoint
Al final de este proyecto, tendréis todas las habilidades básicas para crear una presentación de empresas profesional simple y efectiva con Microsoft Powerpoint. Gracias a este proyecto, podrá utilizar todas las herramientas de Microsoft Powerpoint para crear una presentación profesional, atractiva y original para presentar su empresa sin importar el tamaño. Este proyecto está destinado a personas que ya han utilizado Microsoft Powerpoint. El objetivo es permitirle crear una presentación empresarial profesional y dinámica, que incluya todos los elementos necesarios para presentar su empresa a una audiencia.
University of Pennsylvania
Deep Learning Essentials
Delve into the history of deep learning, and explore neural networks like the perceptron, how they function, and what architectures underpin them. Complete short coding assignments in Python.
Packt
Security Fundamentals & Network Automation
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. In this course, you will gain foundational knowledge of security concepts and network automation techniques essential for modern network management. Through real-world scenarios and practical insights, you'll learn about threats, vulnerabilities, and mitigation strategies that can be applied in your daily tasks. Understanding security awareness and password policies will empower you to contribute to your organization's network defense effectively. You'll also explore AAA security elements, VPN types, and their application in secure business communications. The course will then introduce you to network automation, emphasizing its crucial role in managing large-scale networks. We will dive into network management automation and how it simplifies repetitive tasks, helping to avoid human error and ensuring network stability. You'll discover SDN (Software-Defined Networking) architecture concepts, focusing on how APIs interact with network devices, enhancing flexibility and control over network infrastructures. Next, you'll explore campus device management methods, including how tools like Cisco DNA center enable seamless management across multiple devices. We will also examine REST-based APIs, their significance in network operations, and how they drive automation. Furthermore, configuration management tools such as Puppet, Chef, and Ansible will be covered, helping you automate network configurations efficiently. Finally, you will learn how to interpret JSON-encoded data, a vital skill in network automation tasks. This course is perfect for anyone looking to enhance their skills in network security and automation. It is designed for network engineers, system administrators, and IT professionals looking to implement automation techniques to streamline network management processes. Basic networking knowledge is recommended for this course, as it will help you understand the core concepts more easily. The difficulty level is intermediate, catering to individuals looking to build upon foundational networking skills.
Skillshare
YouTube Video Editing in FCPX - From beginner to Pro
Welcome to this comprehensive online course, taught by Lambros (Lamz), designed to equip aspiring YouTube content creators with the necessary skills and knowledge to create high-quality videos using Final Cut Pro X (FCPX). Whether you're a beginner with no prior experience in video editing or an intermediate user looking to elevate your editing techniques, this course will guide you through the entire process, from the basics to advanced techniques. Through a combination of instructional videos, practical exercises, and real-world examples, this course will demystify FCPX and empower you to unleash your creativity in producing engaging YouTube content. With its user-friendly interface and powerful editing tools, Final Cut Pro X is the preferred choice of many professional YouTubers and video editors. Key Learning Objectives: FCPX Interface and Workflow: Gain a thorough understanding of the FCPX interface, navigation, and workflow to efficiently edit your YouTube videos. Importing and Organizing Footage: Learn how to import your video and audio files into FCPX, organize your media library, and establish an efficient file management system. Basic Editing Techniques: Master fundamental editing techniques, such as trimming, splitting, and rearranging clips to create a coherent and engaging narrative flow. Enhancing Visuals and Audio: Discover how to enhance your videos by applying color correction, adding transitions, incorporating visual effects, and optimizing audio quality. Advanced Editing Techniques: Explore advanced editing techniques, including multicam editing, green screen compositing, and incorporating motion graphics to elevate your video production quality. Titles, Graphics, and Lower Thirds: Learn how to create captivating titles, graphics, and lower thirds to enhance the visual appeal and professionalism of your YouTube videos. Optimizing for YouTube: Understand the best practices for exporting, compressing, and uploading your videos to YouTube while maintaining optimal quality and file size. Collaboration and Workflow Efficiency: Discover strategies for collaborating with other creators, managing multiple projects, and utilizing FCPX's organizational tools effectively. Project Organization and Backup: Develop efficient project organization and backup strategies to ensure the safety and accessibility of your video files. Workflow Automation and Time-Saving Tips: Explore workflow automation techniques and time-saving tips to speed up your editing process and increase productivity. By the end of this course, you will have gained the skills and confidence to edit YouTube videos like a professional using Final Cut Pro X. Whether you aspire to create vlogs, tutorials, or cinematic masterpieces, this course will empower you to tell your stories effectively and engage your YouTube audience with visually stunning and captivating content. Instructor bio: Lambros (Lamz) is an educator and entrepreneur dedicated to helping creators turn their knowledge into thriving businesses. With over 60,000 students worldwide, he has built a successful Course Creation Academy that empowers teachers to become entrepreneurs. Through proven strategies and hands-on coaching, Lambros teaches the core principles of content creation—helping creators identify the right audience, design impactful info-products, and build sustainable income around their passions. His mission is to guide individuals into the digital renaissance, transforming expertise into opportunity.
EDUCBA
Analyze Advanced Data Using Minitab Regression Models
Learners will analyze complex datasets, interpret advanced regression outputs, evaluate predictive models, and apply decision tree techniques using Minitab to solve real-world business problems. This course provides in-depth, hands-on training in advanced statistical modeling using Minitab, moving beyond basic analytics to practical, decision-focused applications. Learners explore linear, logistic, multinomial, and CART regression models, supported by scatter plots, model diagnostics, and real industry case studies. Through guided examples and structured analysis, learners develop the ability to select appropriate models, interpret statistical outputs, and translate analytical results into actionable business insights. What makes this course unique is its strong emphasis on interpretation, visualization, and real-world applicability rather than formula-driven theory alone. Industry-inspired case studies, such as market segmentation and healthcare analytics, reinforce practical understanding, while step-by-step decision tree modeling builds confidence in explainable AI techniques. By completing this course, learners gain job-ready skills in advanced data analysis, improve their statistical decision-making capabilities, and become proficient in using Minitab to support data-driven strategies across business, quality, and analytics roles.
Tableau Learning Partner
Communicating Data Insights with Tableau
The Communicating Data Insights with Tableau Course focuses on reporting best practices using Tableau. You will learn how to create interactive dashboards and craft compelling presentations based on your data analysis. This course will also teach you best practices for data storytelling to convey business insights and provide stakeholders with the data to effectively explore and build their own insights. This course is for anyone who is curious about entry-level roles that demand fundamental Tableau skills, such as business intelligence analyst or data reporting analyst roles. It is recommended (but not required) that you have some experience with Tableau Public, but even if you're new to Tableau Public, you can still be successful in this program. By the end of the course, you will be able to: -Identify data storytelling best principles to convey business insights. -Build interactive dashboards and stories in Tableau Public. -Utilize data storytelling design principles to craft a compelling presentation so stakeholders can explore and disaggregate data to build their own insights.
Coursera
Use Genially to Create Mind Maps
Genially is “the tool that brings content to life.” Genially allows you to map out a learning journey for your students using high interest images and interactive tools. By the end of this project, you will be ready to engage your students by creating mind maps to organize and teach content and to help students show their learning.
Packt
4 AI Agentic Design Patterns – Workflows with Ollama
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. In this comprehensive course, you will delve into the world of AI agentic workflows, exploring the foundational design patterns that make intelligent systems tick. You'll gain hands-on experience in building and integrating these design patterns, starting with the Reflection pattern, followed by Tool Use, Planning (ReAct), and Multi-agent collaboration. As you progress, you will learn how to implement these patterns in real-world scenarios, enhancing your ability to design AI systems that are both efficient and intelligent. The course is structured into multiple modules, each focusing on one design pattern. The first few lessons set the stage by covering essential prerequisites, such as development environment setup and an in-depth dive into AutoGen, a tool crucial for AI agentic workflows. Then, each design pattern is introduced through theory, followed by hands-on exercises to cement your understanding. Whether you're creating simple workflows or complex multi-agent systems, the course guides you step-by-step through the process. This course is perfect for anyone with a basic understanding of AI looking to deepen their knowledge and practical skills. You’ll learn how to apply cutting-edge techniques to solve real-world challenges in AI agentic systems. The course is beginner-friendly, but a background in basic AI principles and programming would be beneficial. By the end of the course, you will be able to confidently apply the four key AI agentic design patterns to build sophisticated workflows, integrate multi-agent systems, and optimize decision-making in intelligent systems. You will also understand how to leverage Ollama Models locally to reduce costs in AI workflows.
Pearson
Automating Kubernetes with GitOps
Automating Kubernetes with GitOps is designed to teach you the key concepts on how to automate infrastructure using Gitops. It introduces core topics of DevOps, pipelines and Git and shows how to build images from code in an automated way. You will build on your knowledge of automating infrastructure using Terraform and Ansible and proceed with how to use GitOps operators in a Kubernetes environment and build a custom operator. Finally, you will also learn how to use operators provided by ecosystems, such as Tekton and Argo CD. Best-selling author and trainer Sander van Vugt uses real-world scenarios and demos throughout so you can see in real time how to use GitOps efficiently and effectively to manage Cloud Native applications.
Korea Advanced Institute of Science and Technology(KAIST)
Practical Python for AI Coding 2
Introduction video : https://youtu.be/TRhwIHvehR0 This course is for a complete novice of Python coding, so no prior knowledge or experience in software coding is required. This course selects, introduces and explains Python syntaxes, functions and libraries that were frequently used in AI coding. In addition, this course introduces vital syntaxes, and functions often used in AI coding and explains the complementary relationship among NumPy, Pandas and TensorFlow, so this course is helpful for even seasoned python users. This course starts with building an AI coding environment without failures on learners’ desktop or notebook computers to enable them to start AI modeling and coding with Scikit-learn, TensorFlow and Keras upon completing this course. Because learners have an AI coding environment on their computers after taking this course, they can start AI coding and do not need to join or use the cloud-based services.