The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
Packt
AlmaLinux Mastery – Free Path to Enterprise Linux
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. Gain hands-on experience with AlmaLinux, a free and open-source enterprise-grade Linux distribution, designed for long-term support and high performance. You'll learn how to install, configure, and manage AlmaLinux, gaining valuable skills in system administration, security, networking, and server deployment. Whether you're new to Linux or transitioning from other distros, this course builds a strong foundation for real-world use cases. The journey begins with an introduction to AlmaLinux, its backing, and its role in enterprise environments. You'll explore cloud deployments, use cases, and the long-term support model that makes AlmaLinux a reliable solution for mission-critical systems. Then, you'll dive into detailed installation guidance—from downloading ISOs and setting up virtual machines to first-time login and post-install configurations. Next, you'll move into foundational system management, including SSH access, static network settings, package management, user permissions, and disk administration. The course culminates in setting up web and file servers, databases, and learning critical tools for security and troubleshooting. This course is ideal for aspiring system administrators, developers deploying to Linux environments, and IT professionals transitioning to open-source systems. A basic understanding of computing is helpful, but no prior Linux experience is required. By the end of the course, you will be able to deploy AlmaLinux in cloud and local environments, manage users and services, set up web and file servers, and maintain system security and performance.
DeepLearning.AI
Design, Develop, and Deploy Multi-Agent Systems with CrewAI
Multi-agent systems let generative AI go beyond single tasks, enabling teams of agents that can plan, reason, and collaborate to solve complex problems. In this course, you’ll learn how to build multi-agent systems that automate complex, end-to-end workflows. You’ll create intelligent agent teams that plan, reason, and collaborate using tools, memory, and guardrails, and learn how to scale them for production. Across four modules, you’ll build practical applications including an automated code reviewer, a meeting co-pilot, and a deep researcher, each showcasing real-world design patterns for agent collaboration. You’ll monitor and debug agent performance using traces, evaluate behavior with LLM-as-a-Judge, and apply best practices for continuous improvement in production. By the end, you’ll be able to implement custom multi-agent systems that perform reliably, deliver measurable outcomes, and scale to thousands of users.
University of Colorado Boulder
William Shakespeare's Twelfth Night: Comedy, Conflict, and Community
This course introduces and explores William Shakespeare’s classic comedy, Twelfth Night. Interviews with actors who appeared in the Colorado Shakespeare Festival’s 2019 production of Twelfth Night, as well as lectures by scholars and theater professionals who work and teach at the University of Colorado Boulder, offer students insight into Shakespeare’s artistic vision and its applications. Exploring Shakespeare’s language, his characters, his humor and his world view, the lectures, interviews, and interactive learning experiences that make up this class will help students comprehend the power of Shakespearean comedy and the abiding appeal of Twelfth Night for its original audience and our contemporary moment. You'll explore the relationship between comedy and tragedy, the conflict inherent in desire, and the ways Shakespeare's words and works engaged his community, and yours. This course strives to be of interest to multiple audiences, but we think it may particularly appeal to... * Shakespeare enthusiasts and the Shakespeare curious in all walks of life * Actors, theater practitioners, and teachers of Shakespeare everywhere * Secondary school and college students interested in expanding their studies of Shakespeare * Interested readers with little or no familiarity with Shakespeare
Universidad de los Andes
Introducción a la regulación del comercio internacional
Este curso te permitirá aproximarte a los aspectos centrales de la actual regulación del comercio internacional. Para ello, el curso primero hace un recorrido por el origen y desarrollo de esta regulación, para luego enfocarse en el estudio del contenido y alcance de la normativa de la Organización Mundial del Comercio (OMC), eje del sistema multilateral para la promoción del libre comercio. Así, el finalizar el curso podrás identificar los ámbitos de regulación cobijados por la normativa de la OMC, como el comercio de mercancías, de servicios o la propiedad intelectual. Igualmente, conocerás las principales normas sustantivas y procedimentales llamadas a regular estos ámbitos, así como los debates contemporáneos que su aplicación conlleva en relación con temas como el medio ambiente y los derechos humanos. De este modo, el curso es para ti, que, desde el sector público, el sector privado, el activismo o la academia, estás interesado en aproximarte a la regulación del comercio internacional y adquirir una perspectiva general sobre sus particularidades normativas e implicaciones socioeconómicas.
Alfaisal University | KLD
تحرير النصوص في مايكروسوفت وورد | Editing Text in MS Word
برنامج (Microsoft Word) هو أحد برامج (Microsoft Office) التي صُمِّمت بهدف تسهيل إنجاز الأعمال المكتبية، خاصة كتابة وتحرير النصوص بصورة مرتبة وجذابة وفي أسرع وقت ممكن، ولذلك يُتيح برنامج (Microsoft Word) لمستخدميه العديد من الأدوات التي تسهل عملية كتابة النصوص وتحريرها لتوفير الوقت والجهد، ولإظهار النص بصورة مميزة. هذه الدورة هي دورة تمهيدية؛ فهي تلقي الضوء على أساسيات الموضوع بشكل عام بهدف التعريف به وبمحاوره الأساسية التي يجب الإلمام بها. إذا كنت من المهتمين بفهم تحرير النصوص في مايكروسوفت وورد، أو كان مجال عملك يتطلب توظيف ذلك في سياق عملك، فهذه الدورة ستكون مثالية لإغناء خبرتك وتطوير مهاراتك بشكل فعال ومؤثر. حيث ستزودك هذه الدورة باطلاع واسع ودقيق على مجموعة من المحاور المتعلقة بهذا الموضوع، مثل: فهم كيفية التصحيح اللغوي إلى النص المكتوب، فهم كيفية استخدام أدوات داخل النص كأدوات البحث والبحث المتقدم والاستبدال، التعرف على طريقة استخدام الأدوات نسخ ولصق، استعراض كيفية كتابة وإضافة النصوص.
Packt
React Foundations & Core Concepts
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 React course, you will build a strong foundation by learning the core concepts that power modern web development. Starting with React basics, environment setup, and components, you will learn how to create a React app and understand the underlying processes that drive React applications. As you progress, you'll dive into concepts like JSX, components, props, state management, and hooks, which are essential for building interactive and dynamic web applications. You will also explore React's styling options, user input handling, and event management to create sophisticated user interfaces. Throughout the course, you'll gain practical experience by building a project that applies everything you learn. You'll explore key hooks like useState, useEffect, and useRef and understand how they improve React functionality. You'll also be introduced to advanced topics such as prop drilling, custom hooks, and API integration, enhancing your ability to build scalable React applications. This course is designed for learners who want to take their web development skills to the next level with React. Whether you're a beginner or someone looking to solidify your understanding of React's key concepts, this course will give you a well-rounded grasp of the framework. It’s perfect for aspiring developers, those switching to front-end development, or anyone eager to dive into React.
University of Michigan
Assisting Public Sector Decision Makers With Policy Analysis
Develop data analysis skills that support public sector decision-makers by performing policy analysis through all phases of the policymaking process. You will learn how to apply data analysis techniques to the core public sector principles of efficiency, effectiveness, and equity. Through authentic case studies and data sets, you will develop analytical skills commonly used to analyze and assess policies and programs, including policy options analysis, microsimulation modeling, and research designs for program and policy evaluation. You will also learn intermediate technical skills, such as Chi-squared tests and contingency tables, comparing samples through t-tests and ANOVA, applying Tukey's honest significant difference to correct for multiple tests, understanding p-values, and visualizing simulations of statistical functions to help answer questions policymakers ask such as “What should we do?” and “Did it work?” In addition, you will practice statistical testing and create ggplot visuals for two real-world datasets using the R programming language. All coursework is completed in RStudio in Coursera without the need to install additional software. This is the third of four courses within the Data Analytics in the Public Sector with R Specialization. The series is ideal for current or early career professionals working in the public sector looking to gain skills in analyzing public data effectively. It is also ideal for current data analytics professionals or students looking to enter the public sector.
Google
Foundations of Digital Marketing and E-commerce
This is the first of eight courses in the Google Digital Marketing & E-commerce Certificate, which will equip you with the skills you need to apply to entry-level roles in these fields. People who work in digital marketing and e-commerce help their organizations attract new customers, engage customers through various digital channels, and drive transactions like purchases and customer loyalty. In this course, you’ll explore entry-level jobs in digital marketing and e-commerce and identify the roles and functions that those jobs play within an organization. You’ll also learn about the marketing funnel and how it shapes the customer journey. Google employees who currently work in the field will guide you, providing hands-on activities and examples that simulate common digital marketing and e-commerce tasks, and helping you build your skills and prepare for the job. Learners who complete the seven courses in this program will be equipped to apply for entry-level jobs in digital marketing and e-commerce. No previous experience is necessary. By the end of this course, you will be able to do the following: - Define the fields of digital marketing and e-commerce - Describe the job responsibilities of an entry-level digital marketing coordinator and e-commerce analyst (and similar job titles) - Summarize how this program will help prepare you for a career in digital marketing and e-commerce - Identify the roles and functions that digital marketing and e-commerce play within an organization - Understand the customer journey and the function of journey maps - Explain the concept of a marketing funnel - Understand the elements and goals of a digital marketing and e-commerce strategy
Creo Incubator
Introverted Entrepreneurship for Leaders Success
This course is designed for introverted entrepreneurs who want to build and grow their ventures without pretending to be someone they are not. In environments that often reward loud, fast-paced, and highly extroverted leadership styles, introverted founders may feel overlooked or pressured to change. This programme challenges that narrative by reframing introversion as a strategic advantage in entrepreneurship. Through a practical and reflective learning journey, participants explore how personality traits influence decision-making, leadership style, communication, and energy management. The course debunks common myths around introversion and confidence, helping learners understand the introvert–extrovert spectrum and identify their natural working style. Participants develop tools to build confidence, manage energy sustainably, make clear decisions, and form meaningful professional relationships without forced networking. By the end of this course, you will be able to: - Identify key characteristics of introverted entrepreneurial leadership - Explain how introversion influences decision-making, communication, and energy management - Apply strategies to build confidence and lead authentically - Use practical tools to manage energy and workload sustainably - Develop professional relationships aligned with personal working preferences Prerequisites: - No prior entrepreneurship or leadership training is required. The course is suitable for aspiring and early-stage entrepreneurs who identify as introverted or prefer reflective working styles.
University of Michigan
Design Strategies for Maximizing Total Data Quality
By the end of this third course in the Total Data Quality Specialization, learners will be able to: 1. Learn about design tools and techniques for maximizing TDQ across all stages of the TDQ framework during a data collection or a data gathering process. 2. Identify aspects of the data generating or data gathering process that impact TDQ and be able to assess whether and how such aspects can be measured. 3. Understand TDQ maximization strategies that can be applied when gathering designed and found/organic data. 4. Develop solutions to hypothetical design problems arising during the process of data collection or data gathering and processing. This specialization as a whole aims to explore the Total Data Quality framework in depth and provide learners with more information about the detailed evaluation of total data quality that needs to happen prior to data analysis. The goal is for learners to incorporate evaluations of data quality into their process as a critical component for all projects. We sincerely hope to disseminate knowledge about total data quality to all learners, such as data scientists and quantitative analysts, who have not had sufficient training in the initial steps of the data science process that focus on data collection and evaluation of data quality. We feel that extensive knowledge of data science techniques and statistical analysis procedures will not help a quantitative research study if the data collected/gathered are not of sufficiently high quality. This specialization will focus on the essential first steps in any type of scientific investigation using data: either generating or gathering data, understanding where the data come from, evaluating the quality of the data, and taking steps to maximize the quality of the data prior to performing any kind of statistical analysis or applying data science techniques to answer research questions. Given this focus, there will be little material on the analysis of data, which is covered in myriad existing Coursera specializations. The primary focus of this specialization will be on understanding and maximizing data quality prior to analysis.
Coursera
Customize Templates Fast
Customize Templates Fast is a practical, hands-on course designed to help professionals bring consistency, clarity, and efficiency to documentation in Confluence. In fast-growing organizations, templates often become cluttered, underused, or misaligned with real workflows. This course shows learners how to turn templates into powerful tools that scale knowledge sharing and improve documentation quality. Learners begin by understanding why standardization matters and how well-designed templates reduce rework, improve usability, and support alignment across teams. They then learn how to clone and customize Confluence templates, apply company branding, and add mandatory QA sections to ensure high-quality, consistent content. The course also focuses on evaluation and optimization. Learners analyze template usage to identify redundancies, gaps, and underused assets, and learn how to consolidate and refine templates based on feedback and adoption patterns. Through real-world examples and applied scenarios, learners gain a repeatable approach to managing templates as living assets—driving productivity, clarity, and continuous improvement across the organization.
Google
Manage Your Job Applications with AI
Streamline your job application process and expand your professional network using AI tools and strategic organization. You'll learn to navigate various job search platforms effectively and create an organized tracking system using Google Sheets to manage your applications. This course emphasizes the power of networking in job searching, teaching you how to build professional connections with confidence. You'll discover how AI can help you network more effectively, reach out to industry contacts, and maintain relationships that can lead to career opportunities. By the end of this course, you will be able to: - Use job search platforms effectively and create organized tracking systems with Google Sheets to manage applications and opportunities - Apply networking best practices to build professional connections, using AI tools like Gemini to craft outreach messages and maintain relationships - Develop strategic approaches to job searching beyond traditional online applications through expanded networking efforts
The University of Notre Dame
The Discipline of Leadership
Because it is likely you either want to improve your leader effectiveness or you may want to increase the number of leadership opportunities you have, this course will focus on outlining the factors that predict leader emergence (whether someone will emerge as a leader) and leader effectiveness. Because those predictors are numerous, this course will be broken down into three distinct parts: 1) who one is as a leader (evaluating leaders/leadership and applying to your own personality/traits/character); 2) what one's knowledge, skills, and abilities should be (KSAOs); and 3) how leaders should approach and resolve problems when in a position of leadership. Leadership develops over time and can be aided by repetition (experience), feedback, and self-reflection. Unfortunately, no one can teach you how to lead. My goal as your professor is to give you the tools that will enable you to teach yourselves how to be better leaders.
Johns Hopkins University
Data Science in Real Life
Have you ever had the perfect data science experience? The data pull went perfectly. There were no merging errors or missing data. Hypotheses were clearly defined prior to analyses. Randomization was performed for the treatment of interest. The analytic plan was outlined prior to analysis and followed exactly. The conclusions were clear and actionable decisions were obvious. Has that every happened to you? Of course not. Data analysis in real life is messy. How does one manage a team facing real data analyses? In this one-week course, we contrast the ideal with what happens in real life. By contrasting the ideal, you will learn key concepts that will help you manage real life analyses. This is a focused course designed to rapidly get you up to speed on doing data science in real life. Our goal was to make this as convenient as possible for you without sacrificing any essential content. We've left the technical information aside so that you can focus on managing your team and moving it forward. After completing this course you will know how to: 1, Describe the “perfect” data science experience 2. Identify strengths and weaknesses in experimental designs 3. Describe possible pitfalls when pulling / assembling data and learn solutions for managing data pulls. 4. Challenge statistical modeling assumptions and drive feedback to data analysts 5. Describe common pitfalls in communicating data analyses 6. Get a glimpse into a day in the life of a data analysis manager. The course will be taught at a conceptual level for active managers of data scientists and statisticians. Some key concepts being discussed include: 1. Experimental design, randomization, A/B testing 2. Causal inference, counterfactuals, 3. Strategies for managing data quality. 4. Bias and confounding 5. Contrasting machine learning versus classical statistical inference Course promo: https://www.youtube.com/watch?v=9BIYmw5wnBI Course cover image by Jonathan Gross. Creative Commons BY-ND https://flic.kr/p/q1vudb
Meta
Measure and Optimize Social Media Marketing Campaigns
This course provides you with the skills to optimize your social media marketing efforts. Learn to evaluate and interpret the results of your advertising campaigns. Learn how to assess advertising effectiveness through lift studies and optimize your campaigns with split testing. Understand how advertising effectiveness is measured across platforms and devices, learn how to evaluate the ROI of your marketing, and master how to communicate your social media marketing results to others in the company. By the end of this course, you will be able to: • Analyze dashboards and evaluate ROI from your social media marketing efforts • Understand different techniques used to optimize marketing campaigns, such as attribution and marketing mix models • Implement an A/B test to optimize your campaign • Present and communicate the results of your campaign to a team This course is for people who want to learn how to analyze their campaign marketing results, optimize their campaigns, and effectively communicate findings to their teams. Learners don't need marketing experience but should have basic internet navigation skills and be eager to participate and connect on social media. Having a Facebook or Instagram account helps, and ideally, learners have already completed the four previous courses in this program. This course will be followed by the Meta Social Media Marketing Capstone course, the final course of this certification, in which learners will take the Digital Marketing Associate Certification Exam and complete a Capstone project to receive their Meta Social Media Marketing Professional Certificate.
EDUCBA
Master AWS Rekognition: Analyze, Detect, and Automate
Learners will analyze images, detect objects and faces, extract text, evaluate unsafe content, and automate workflows using AWS Rekognition and Lambda. This hands-on course equips participants with the essential skills to build intelligent, cloud-native image and video analysis solutions. Throughout this project-driven journey, learners gain practical experience with object and label detection, image moderation, facial landmarks, celebrity recognition, face comparison, and text extraction. They also learn how to design serverless pipelines that integrate Rekognition with AWS Lambda and SNS to trigger automated processing. By completing the course, learners will be able to confidently apply deep-learning powered visual intelligence features within real-world applications—without managing complex infrastructure. What makes this course unique is its end-to-end, scenario-based approach that mirrors real industry use cases. Instead of abstract theory, learners work directly with live AWS services, exploring how Rekognition functions inside production-ready serverless environments. Whether for content moderation, security automation, metadata extraction, or intelligent media workflows, this course provides the practical foundation needed to implement AI-driven solutions at scale.