The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
EDUCBA
Analyze War Data with Tableau Dashboards and Stories
By the end of this course, learners will be able to analyze structured datasets, interpret military equipment and personnel data, design interactive dashboards, and construct data-driven stories using Tableau. The course guides learners through a complete end-to-end analytics project centered on the Russo-Ukraine war, enabling them to transform raw datasets into meaningful visual insights and clear analytical narratives. Learners will benefit by gaining hands-on experience with real-world data, strengthening their ability to work with worksheets, dashboards, and storyboards in Tableau. The course emphasizes practical decision-making, analytical thinking, and effective data communication—skills that are essential for data analysts, business intelligence professionals, and visualization specialists. Each module builds progressively, ensuring learners first understand the project objectives and data structure before moving into visualization and storytelling. What makes this course unique is its project-based approach using a real geopolitical dataset, allowing learners to apply Tableau concepts in a realistic analytical context. Instead of isolated features, learners experience the full analytics workflow—from data preparation to insight presentation—mirroring professional data analysis practices.
Duke University
Setup Python
In this 2-hour long project-based course, you will learn how to: - Describe the purpose of virtual environments in Python development - Explain how to create and activate a virtual environment using the venv module - Install packages and dependencies into a virtual environment using pip and requirements.txt. Completing this project on setting up Python environments will provide learners with essential skills for professional Python development. Learning to properly manage dependencies is crucial for any programmer. This project stands out by using current best practices for Python packaging, avoiding deprecated approaches. Learners will benefit from gaining hands-on experience with critical tools like virtual environments, pip, and pyproject.toml. Following the opinionated recommendations in this project will equip learners with a streamlined workflow for configuring reproducible and isolated Python environments. The project uniquely focuses on real-world developer needs, not just toy examples. Learners will complete the project knowing how to dependency manage projects of any size for both dev and production. These professional techniques will enable learners to use Python for building robust applications across many domains.
Universidad Nacional Autónoma de México
Estrategias para la innovación: Ciudades hidro-inteligentes
Una de las claves del liderazgo y la innovación en la actualidad está en dar respuesta a los problemas más álgidos de la sostenibilidad. En este curso aplicarás el enfoque integral de ciudades hidro-inteligentes como una estrategia para la innovación para la era digital, en la que se aprovechan los conceptos de economía circular, planeación urbana participativa, uso eficiente de recursos, soluciones basadas en la naturaleza y las tecnologías de la cuarta revolución industrial para proponer soluciones a los retos de sostenibilidad hídrica en las ciudades de la actualidad.
Johns Hopkins University
Sustainable Neighborhoods
This course will provide students with an introduction to tools and concepts for a better understanding of the importance of the neighborhood as part of a sustainable city. This will include a careful look at the natural context of successful neighborhoods. An evaluation of important components and structure that create a sustainable neighborhood. Complete neighborhoods can provide their residents with pedestrian access to schools, daycare, recreational centers, and a variety of open spaces, as well as opportunities for food production. These and other aspects of sustainable neighborhoods will be carefully evaluated in this course. There will also be case studies of neighborhood development projects in Houston, TX, San Antonio, TX, and Chattanooga, TN. And lastly, the course will review the importance of zoning on sustainable neighborhoods with a particular focus on form-based zoning. By the end of this course, you will be able to: • Construct general plans for urban parks and natural corridors for achieving natural context neighborhoods. • Analyze how neighborhood schools, support services and civic sites contribute to neighborhood livability and sustainability. • Examine how local open space and housing density can be balanced as neighborhood components to achieve sustainable communities. • Evaluate the aspects of neighborhood structure that include packet parks, open-space configurations, and transit orientation in communities. • Apply lessons learned from the evaluation of three case studies at the Buffalo Bayou project in Houston, Texas, the Pearl District project in San Antonio Texas, and 21st century waterfront project in Chattanooga Tennessee. • Explain the importance of zoning for sustainable neighborhoods with a particular focus on form-based zoning. Example backgrounds that would be helpful for students to succeed in this course: - To have a general understanding of how public/private projects are planned and implemented - Have a strong interest or experience in planning and developing regional sustainable development plans - Familiar with how government organizations function in the areas of transportation planning and project development - Served as a volunteer committee member or leader on regional transportation projects and/or regional policy development initiatives - Have a background and interest in environmental protection plans and projects - A general knowledge of regional transportation project planning and implementation - General knowledge or experience in public participation in governmental policy development - A strong interest and/or experience in improving the urban environment for the benefit of its citizens - Have a general knowledge of legal and policy issues involved in sustainable development - Have experience or general knowledge of social equity issues
Packt
Python Course for Data Analysis - Become Data Analyst
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 will take you through the fundamentals of Python programming and its application in data analysis. You’ll gain practical experience in using popular Python libraries like NumPy, Pandas, and Matplotlib to clean, manipulate, and visualize data. With a blend of interactive lessons and real-world exercises, you'll develop a deep understanding of Python as it applies to data analytics, allowing you to solve problems and analyze data with confidence. The course is structured to guide you from the basics to more advanced concepts. You will first familiarize yourself with Python syntax, variables, operators, and data types, moving on to hands-on skills such as loops, functions, and list comprehensions. The later sections focus on powerful data analysis tools like Pandas for data manipulation and Matplotlib for visualization, followed by advanced techniques in data cleaning and merging datasets. This course is perfect for anyone looking to enhance their skills in data analysis. Whether you are a beginner to Python or have some experience, you will find value in the practical exercises and projects. The course does not require prior knowledge of data science or Python, though a basic understanding of programming concepts will help. With a focus on real-world applications, the course is suitable for learners of all levels. By the end of the course, you will be able to write Python code for data analysis, clean and manipulate data using Pandas, visualize data using Matplotlib, and complete a comprehensive project that demonstrates your skills in a real-world context.
Rice University
Academic Success for English Learners
This course is designed for early career teachers (0-3 years of experience) to build a solid foundation of knowledge and skills to work with English learners, no matter the age or subject taught. We’ll start off by learning about the importance of specialized instruction for ELs and principles that teachers should follow to set the stage for their academic. Next, we’ll expand on the concepts from module 1 and explore practical steps for teachers in the classroom, including how to make linguistic and instructional accommodations for ELs. We take a deeper dive into techniques for teachers and present strategies for students to bolster their own academic success in module 3. The course wraps up with module 4, which is all about facilitating academic success for special groups of English learners, including gifted students, long-term English learners, and ELs with disabilities. Throughout this course, you will watch instructional videos, read scholarly articles, participate in discussion boards, and complete assignments that will encourage you to think about your practices as a teacher of ELs. Finally, you will complete this course with a treasure trove of practical classroom activities and tips for fostering academic success with English learners. By participating in this course, teachers will be better prepared to serve the English learners in their classrooms through sheltered instruction principles, effective lesson planning and assessment practices, purposefully reflecting on teaching, and understanding the unique challenges faced by this group of students.
EDUCBA
AI with Python: Apply & Implement ML Models
By the end of this course, learners will be able to analyze datasets, apply machine learning algorithms, evaluate classifiers, and implement deep learning models using Python and its popular frameworks. The course begins with the foundations of AI, covering essential concepts such as Python for AI, bias-variance tradeoff, and model evolution. Learners will then explore data handling, visualization, dimensionality reduction, and classifier evaluation to strengthen practical ML skills. Finally, the course dives into advanced AI with multilayer perceptrons, clustering, ensemble methods, and hands-on practice with TensorFlow, Keras, and PyTorch. What makes this course unique is its step-by-step structure combining theory with practical coding demonstrations using Jupyter Notebook, ensuring learners can directly apply concepts to real-world problems. Through integrated lessons on documentation and visualization, participants will also learn how to clearly present AI projects. Designed for intermediate-level learners, this course bridges the gap between basic knowledge and advanced AI applications, empowering you to confidently build, test, and refine machine learning and deep learning models.
IE Business School
Gestión de marca y producto
El objetivo principal es identificar la información crítica necesaria para desarrollar una estrategia de producto y marca que genere tanto ganancias rápidas como valor a largo plazo. A lo largo de este curso, aprenderá conceptos clave de la estrategia de marca y producto, como el ciclo de vida del producto, la estimación de la demanda del producto, el desarrollo y lanzamiento del producto y la marca, la cartera de productos, el análisis de la competencia, la esencia y la identidad de la marca, la arquitectura de la marca, el valor de la marca, la cartera de marcas, el recorrido de la experiencia del cliente, el embudo de compra, los puntos de contacto clave con el cliente y el compromiso con la marca. Al completar este curso, será capaz de crear un plan de actividades para dar vida a su estrategia de marca, tanto externamente hacia los consumidores como internamente hacia los empleados. Podrá definir las métricas adecuadas para determinar el éxito a la hora de implementar su estrategia de producto y marca, teniendo en cuenta cualquier ajuste que pueda realizarse usando una metodología de prueba y aprendizaje. Luis Rodríguez Baptista -profesor de IE University y Consultor de Marketing- le guiará a través de seis módulos que comienzan explicando el reto de gestionar los productos a lo largo de su "ciclo de vida" y culminan aprendiendo a dotar a sus empleados de conocimientos sobre cómo cumplir su promesa de marca. El curso incluye entrevistas con consumidores y profesionales del sector, que ayudan a ilustrar la importancia de la estrategia de marca. Gestión de marcas y productos es un curso único que le permite comprender la importancia de la gestión de marcas y productos y, a continuación, utilizar herramientas de desarrollo de marcas, arquitectura y carteras, para alcanzar el éxito. Este curso también está disponible en inglés. Para unirse a la versión en inglés totalmente traducida, visite esta página: https://www.coursera.org/learn/brand-management?specialization=marketing-mix
Red Hat
Managing Cloud-native Applications with Kubernetes
Managing Cloud-native Applications with Kubernetes (DO100b) is designed for IT professionals without previous cloud application deployment experience to learn basic Kubernetes skills. This course is the second course of a three-course specialization. In this specialization, you will run, deploy, and test containerized applications with zero-downtime releases.
Coursera
Technical Troubleshooting: Diagnostics, Networks, Customers
In an era of rising technology integration and complexity, the need for proficient technical troubleshooters who can effectively communicate solutions is more critical than ever. This course aims to equip IT professionals with the skills to navigate and resolve complex IT challenges while maintaining strong stakeholder relationships. By engaging with current case studies, learners will find the course's content relevant and directly applicable to modern IT environments. This included effectively diagnosing incidents, managing network equipment, and communicating strategies for every stakeholder. This course is designed for IT professionals, from novices to seasoned experts, aiming to sharpen their troubleshooting skills and communication abilities. Gain practical techniques to tackle complex software and network issues confidently. Elevate your support game and provide top-notch assistance to end-users and clients. No specific prerequisites needed. Basic understanding of computer systems and network configurations is helpful, along with general problem-solving skills. Basic communication skills are recommended for effective interactions with non-technical stakeholders. With these foundations, learners can fully engage with and apply the course content. Upon course completion, learners will develop skills to excel in IT support roles. They'll analyze and resolve complex software issues systematically, troubleshoot networks effectively, and enhance communication with non-technical stakeholders. By synthesizing troubleshooting and communication strategies, they'll improve customer satisfaction and navigate challenges professionally.
Coursera
Cómo crear historias para Instagram y Facebook usando Canva
En este proyecto aprenderás a diseñar historias para Facebook e Instagram usando la plataforma Canva. Canva es una excelente opción para aquellos que buscan una plataforma fácil de usar y fácil de usar para crear diseños atractivos para su propio negocio o contenido de redes sociales. Canva tiene muchos elementos que son gratuitos y te da mucha libertad a la hora de diseñar. Además de esto, Canva dispone de contenido de pago que ofrece otro sinfín de elementos y posibilidades para el diseño pero que no son obligatorios ni totalmente necesarios, por lo que el usuario tiene la libertad de elegir cuánto contenido o elementos quiere tener a su disposición. . . Canva es una herramienta sumamente útil para quienes recién comienzan e incluso se convierte en una muy buena herramienta para quienes llevan años diseñando en programas más avanzados. Es una opción rápida que no necesita ser instalada en tu computadora y siempre que tengas conexión a Internet, será una herramienta accesible.
Universitat Autònoma de Barcelona
Patrocinio Deportivo
¿Te interesa el patrocinio deportivo? ¿Quieres entender qué actores participan en el patrocinio deportivo? ¿Quieres saber qué tendencias y propuestas innovadoras están surgiendo en el mundo del patrocinio deportivo? ¿Te interesa aprender y conectar con sport lovers/estudiantes de todo el mundo? La Universitat Autònoma de Barcelona y Johan Cruyff Institute imparten este curso introductorio en patrocinio deportivo para todos aquellos interesados en conocer cómo crear una propuesta de patrocinio para un evento deportivo. Este curso puede realizarlo cualquier persona interesada; no contemplamos requisito alguno para poder cursarlo. Gracias al curso serás capaz de afrontar un reto real: la activación de un patrocinio para la Fundación Cruyff.
EDUCBA
Master Advanced Excel Functions to Analyze & Automate Data
Learners will apply advanced Excel financial functions, analyze data using conditional logic, and execute dynamic lookup and sorting operations to solve real-world analytical challenges. This course equips professionals with the ability to calculate complex financial metrics, perform multi-criteria summations, build powerful Pivot Table summaries, and retrieve information efficiently using modern functions like SORT and VLOOKUP. By completing this course, learners will gain practical, industry-relevant skills to enhance productivity, strengthen decision-making, and streamline data workflows across financial analysis, reporting, and business intelligence tasks. The hands-on demonstrations, real-dataset examples, and step-by-step walkthroughs ensure that learners not only understand each function but can confidently integrate them into daily work. What makes this course unique is its function-by-function mastery approach—each lesson transforms a challenging Excel formula into an easy-to-apply tool. With structured modules, clear learning paths, and practice-ready examples, learners rapidly progress from foundational formulas to advanced analytical techniques. Whether preparing reports, evaluating financial performance, or building automated sheets, learners finish the course ready to excel with Excel.
Packt
Data Science Model Deployments and Cloud Computing on GCP
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 course, you'll gain hands-on experience with deploying data science models on Google Cloud Platform (GCP) while mastering cloud computing concepts. By the end, you will understand essential cloud tools like Google App Engine, Cloud Functions, and Cloud Run, and you’ll be able to efficiently deploy machine learning models into production environments. You'll also explore how cloud scalability, serverless computing, and containerization impact model deployment, ensuring you can deploy models in various environments seamlessly. You will start by exploring key cloud concepts such as scalability and serverless computing, followed by practical exercises using GCP tools. You'll walk through deploying Python applications, using Docker containers, and setting up continuous deployment pipelines with Cloud Build and GitHub. The course will introduce you to machine learning model lifecycle management and how to use GCP's Vertex AI and Kubeflow for model training and deployment. This course is perfect for data scientists, developers, and cloud enthusiasts looking to apply machine learning models in real-world applications. No advanced cloud experience is required, though basic Python and machine learning knowledge will be beneficial. The course has a hands-on, practical approach to GCP, ensuring you can deploy data science models confidently.
Akamai Technologies, Inc.
Networking Fundamentals
In the Networking Fundamentals course, you’ll learn the basic principles of network theory and terminology. This includes understanding network components, node functions, different types of networks, and network models. Upon completing this course, you will be able to: ● Understand network theory, terminology, and models ● Implement the OSI model and TCP/IP, including encapsulation and network protocols ● Master the use of networking hardware like switches and routers ● Troubleshoot wired and wireless networks using tools like packet sniffers In addition, you’ll work with software that simulates sophisticated networks, helping you gain practical, hands-on experience. At the end of the course, you’ll complete a capstone project, demonstrating your comprehensive understanding of the course material.
Skillshare
Hone Your Style: Discover and Develop Your Editing Style
Discover your power as an editor by leaning into your unique style, identity, and inspiration. There are a lot of things Ryan Kao wishes he had known before starting his career as a freelance video editor and cinematographer. From learning editing essentials to finding his distinctive visual style to properly managing client projects and marketing himself on social media, developing skills like these have helped Ryan go on to secure opportunities with brands like Nike, Adidas, and IKEA as well as cultivate a community of almost 250K across YouTube and Instagram. Now, Ryan wants to share everything he’s learned about crafting a unique identity and sense of style as a video editor. In this class, you’ll learn how to find new sources of inspiration, translate your visual style into client work, and create your style guide using one of Ryan’s favorite tools. With Ryan by your side, you’ll: - Analyze your media consumption and previous work to find inspiration - Create your own reference library and style guide using Milanote - Discover how to work in tandem with a client’s needs and creative brief - Understand you own style and how to use it to your advantage Plus, Ryan will share some of his favorite edits, inspiration, and creative reference library as a full-time freelance editor. Whether you’ve been working as an editor for years but can’t seem to figure out your unique style or want to start your career off by honing and developing your unique visual style right off the bat, you’ll leave this class with a better sense and understanding of style, how to find new ways to influence your style and how you to translate that into your personal and professional work Basic video editing knowledge and experience will be helpful when taking the class. You’ll need your computer to get started. You can also bring pen and paper to take notes. Instructor bio: Ryan Kao is a cinematographer and video editor based in Los Angeles. What started as a simple childhood hobby over 15 years ago has grown into a thriving and transformative career as a full-time freelancer in the video industry. With cinematography and post-production work ranging from commercial, documentary, and narrative pieces. He is proud to say that his work has taken him all over the world. Making and learning from mistakes along the way has allowed him to discover some unique perspectives and strategies over the years. He's also been so honored to share his knowledge and experiences on YouTube with an audience of over 200,000 subscribers. This creative community has fueled his career beyond anything he could ever imagine possible, and he's beyond excited to share even more with you, here on Skillshare! Clients include Nike, Adidas, Alo, Trip Advisor, Hennesey, and more.