The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
Packt
DNS
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 DNS course, you'll master essential utilities like nslookup, dig, and dnswalk to troubleshoot and maintain DNS systems. You'll also gain a solid understanding of various DNS records, including A, AAAA, CNAME, PTR, and SRV, and how each type contributes to network infrastructure. The course covers configuring email services with MX and SPF records, along with domain management, purchasing, transferring, and securing DNS zones using DNSSEC. The course goes further into the installation and configuration of DNS servers such as Microsoft DNS, BIND, and Unbound. You'll also learn how to configure DNS server replication for improved fault tolerance and system efficiency, ensuring a resilient and optimized DNS infrastructure. By the end of this course, you'll have the practical skills to confidently configure and troubleshoot DNS systems. Whether you're an IT professional, system administrator, or network engineer, you'll be well-equipped to manage and secure DNS services with expertise and precision.
Università di Napoli Federico II
Comparative Research Designs and Methods
This course is part of the IPSAMOOC project, a joint venture Federica Weblearning - IPSA, the International Political Science Association. Emile Durkheim, one of the founders of modern empirical social science, once stated that the comparative method is the only one that suits the social sciences. But Descartes already had reminded us that “comparaison n’est pas raison”, which means that comparison is not reason (or theory) by itself. This course provides an introduction and overview of systematic comparative analyses in the social sciences and shows how to employ this method for constructive explanation and theory building. It begins with comparisons of very few cases and specific “most similar” and “most different” research designs. A major part is then devoted to the often occurring situation of dealing with a small number of highly complex cases, for example when comparing EU member states. Latin American political systems, or particular policy areas. In response to this complexity, new approaches and software have been developed in recent years (“Qualitative Comparative Analysis”, QCA, and related methods). These procedures are able to reduce complexity and to arrive at “configurational” solutions based on set theory and Boolean algebra, which are more meaningful in this context than the usual broad-based statistical methods. In the last section, these methods are contrasted with more common statistical comparative methods at the macro-level of states or societies and the respective strengths and weaknesses are discussed. Some basic quantitative or qualitative methodological training is probably useful to get more out of the course, but participants with little methodological training should find no major obstacles to follow.
Johns Hopkins University
Artificial Intelligence for Breast Cancer Detection
The objective of this course is to provide students the knowledge of artificial intelligence processing approaches to breast cancer detection. Students will take quizzes and participate in discussion sessions to reinforce critical concepts conveyed in the modules. Reading assignments, including journal papers to understand the topics in the modules, will be provided. The course is designed for students who are interested in the career of product development using artificial intelligence and would like to know how AI can be applied to mammography. The course content is focused on the AI processing paradigm along with the domain knowledge of breast imaging. This course approach is unique, providing students a broad perspective of AI, rather than homing in on a particular implementation method. Students who complete this course will not only leverage the knowledge into an entry level job in the field of artificial intelligence but also perform well on projects because their thorough understanding of the AI processing paradigm.
Google Cloud
Mendeploy dan Menskalakan Model AI dengan Cloud Run
Inferensi AI adalah proses menggunakan model machine learning yang telah dilatih untuk membuat prediksi pada data baru yang belum pernah dilihat sebelumnya dengan menerapkan pola yang telah dipelajari. Kursus ini dirancang untuk para developer, data scientist, dan engineer ML yang tertarik untuk men-deploy layanan inferensi AI dengan cepat di Cloud Run. Kursus ini berguna bagi mereka yang sudah mengenal solusi deployment aplikasi serverless berbasis cloud, tetapi mungkin belum berpengalaman menjalankan inferensi AI menggunakan produk serverless Google Cloud. Kursus ini mencakup contoh-contoh yang men-deploy model untuk inferensi AI dengan GPU dan mengintegrasikan aplikasi AI generatif dengan layanan penyimpanan data.
Board Infinity
Microservices and Deployment by using ASP.NET
In this comprehensive course, we delve deep into the concept of microservices using ASP.NET Core, effectively dockerizing .NET Core applications, and utilizing DevOps practices. This course is divided into three core modules. The 'Microservices with .NET Core' module immerses you into the world of microservices, teaching you how to design and develop them, create RESTful APIs, and integrate these services with databases and messaging systems. The 'Dockerize .NET Core Applications' module elaborates on Docker's pivotal role in containerizing .NET Core applications. It walks you through Docker's foundational concepts and highlights its contribution to deploying and creating robust, production-ready .NET Core applications. Lastly, the 'DevOps for ASP.NET Core Developers' module presents an overview of DevOps, its principles for efficient software delivery, and the use of Azure DevOps for continuous integration, delivery, automated testing, and monitoring. By the end of this course, participants will be proficient in building and managing microservices using ASP.NET Core, dockerizing .NET Core applications, and implementing effective DevOps practices in their software development projects. Disclaimer: This course is an independent educational resource developed by Board Infinity and is not affiliated with, endorsed by, sponsored by, or officially associated with Microsoft Corporation or any of its subsidiaries or affiliates. This course is not an official preparation material of Microsoft Corporation. All trademarks, service marks, and company names mentioned are the property of their respective owners and are used for identification purposes only.
Yale University
Moralities of Everyday Life
How can we explain kindness and cruelty? Where does our sense of right and wrong come from? Why do people so often disagree about moral issues? This course explores the psychological foundations of our moral lives.
Google Cloud
Introduction to AI and Machine Learning on GC - 繁體中文
本課程介紹 Google Cloud 的 AI 和機器學習 (ML) 功能，著重說明如何開發生成式和預測式 AI 專案。我們也會探討「從資料到 AI」整個生命週期都適用的技術、產品和工具，並透過互動式練習，協助資料科學家、AI 開發人員和機器學習工程師精進專業知識。
Packt
Gatling Fundamentals for Stress Testing APIs - Scala
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 will gain the essential skills needed to effectively use Gatling for API stress testing. You will learn to install and configure Gatling, create scripts, run performance tests, and monitor the results. By the end of the course, you’ll be able to design load simulations and use Gatling’s powerful tools to perform comprehensive stress tests on your API services. The course will guide you through the installation of Gatling, setting up your development environment, and writing your first Gatling script from scratch. You’ll get hands-on experience with key features like the Gatling recorder, session variables, and debugging tools. Throughout the lessons, you’ll build up your skills by using real-world scenarios, such as simulating users on an API, managing response data, and testing under varied loads. As you progress, you’ll learn to handle different types of performance tests like ramping up users, using feeders to inject test data, and authenticating requests. The course concludes with a deep dive into integrating Gatling with Continuous Integration tools like Jenkins and Travis, which will enhance your automated testing capabilities. This course is perfect for software developers, QA engineers, and DevOps professionals who are looking to enhance their API testing and load testing skills. A basic understanding of software development and APIs is recommended. No prior experience with Gatling is necessary.
The Museum of Modern Art
Seeing Through Photographs
Taking, sharing, and viewing photographs has become second nature for many of us. This course aims to address the gap between seeing and truly understanding photographs by introducing a diversity of ideas, approaches, and technologies that inform their making. You’ll explore the meaning of pictures and reconsider photography’s role in our visual culture. Look closely at 100 photographs from MoMA’s collection, going behind the scenes of the Museum and into artists’ studios through videos and audio interviews. Gain new perspectives on the ways photography has been used throughout the medium’s history: as a means of artistic expression, a tool for science and exploration, an instrument of documentation, a way to tell stories and record histories, and a mode of communication and critique.
Coursera
تصحيح الأخطاء في Swift: اختبر الكود الخاص بك
استعد لتعلم طرق تصحيح الأخطاء المختلفة في بيئة برمجة Swift مع دورة ”تصحيح الأخطاء في Swift: اختبر الكود الخاص بك“. ستكتسب المهارات الأساسية لتصحيح واختبار الكود الخاص بك بكفاءة. ستتعلم كيفية استخدام نقاط التوقف لفحص الكود الخاص بك والمتغيرات أثناء التشغيل، وكيفية استخدام بيانات الطباعة لتصحيح الشيفرة. ستكتسب أيضًا المعرفة لكتابة اختبارات الوحدة (Unit Testing) للكود الخاص بك واستخدام ميزات تصحيح Xcode. ستتعرف ايضاً على كيفية التعامل مع مشكلات الإدخال والتفاعل مع المستخدم. ستستكشف أيضًا كيفية تصحيح مشكلات الشبكة والتواصل مع واجهات برمجة التطبيقات. انضم إلينا في هذه الدورة، لتكتسب المهارات الضرورية لاستخدام أدوات التصحيح المختلفة بأسلوب مبتكر لتحديد وحل المشكلات ببراعة. اجعل رحلة تطوير وصيانة تطبيقات Swift ممتعة ومثيرة بنجاح!
University of Illinois Urbana-Champaign
Bridging Data and Practice for Personalized Nutrition
Explore the ethical considerations and applications of AI in personalized nutrition with insights from global experts. Learn how big data and predictive algorithms can revolutionize dietary recommendations. The course covers innovative methods for collecting nutrition data, such as continuous glucose monitors, and provides insights into nutrition research study designs. Address consumer barriers to interpreting test results and examine various personalized nutrition products and services. The role of medical professionals, including doctors and registered dietitians, is highlighted. Finally, the course looks ahead to the future of personalized nutrition, discussing democratization, partnership creation, and the components of the personalized nutrition ecosystem. This comprehensive exploration will equip you with a deep understanding of how AI can enhance dietary recommendations and improve overall health outcomes. This course is part of the College of ACES suite of online programs. To learn more about online programs from the College of ACES and explore ways to apply your Coursera work toward a degree program at the University of Illinois, visit: https://aces.illinois.edu/online.
Microsoft
Healthcare Data Management, Security, and Compliance
This comprehensive course covers the critical aspects of healthcare data management, security protocols, regulatory compliance, and governance frameworks. Participants gain hands-on experience with Azure health data services, FHIR/HL7 standards, encryption protocols, access control systems, and compliance monitoring. They also learn to implement secure, compliant data management solutions that protect patient privacy while enabling healthcare innovation. Throughout the curriculum, participants develop expertise in deploying Azure Health Data Services to establish secure, regulation-compliant storage infrastructures for sensitive patient information. The course provides in-depth training on applying industry-standard FHIR and HL7 protocols to normalize healthcare data and ensure seamless interoperability across diverse clinical systems. Learners acquire practical skills in architecting real-time data processing pipelines that power clinical decision support systems and integrate IoT medical devices for continuous patient monitoring. A central focus is designing scalable, future-proof healthcare data architectures that simultaneously support operational workflows—such as electronic health records and patient scheduling—and advanced analytical requirements including population health management, predictive analytics, and research initiatives. This course is ideal for healthcare professionals, IT specialists in healthcare organizations, and career changers who possess basic cloud computing knowledge, SQL familiarity, and understanding of healthcare workflows, enabling them to bridge clinical expertise with advanced data engineering capabilities. By completion, participants will be equipped to build comprehensive healthcare data ecosystems that balance regulatory obligations with technological innovation.
Packt
Exploratory Data Analysis & Core ML Algorithms
Build a strong foundation in exploratory data analysis (EDA) and machine learning with this hands-on course. Designed for learners with basic Python and ML knowledge, you’ll move step by step from preparing datasets to implementing some of the most widely used algorithms in real-world applications. Your journey begins with EDA, where you’ll learn to visualize data, detect patterns, and handle missing or outlier values to ensure your datasets are clean and reliable. From there, you’ll dive into linear regression and mastering predictive modeling techniques for forecasting and trend analysis. Next, you’ll explore logistic regression, focusing on classification problems and learning how to evaluate your models using tools like the AUC-ROC curve. You’ll apply these skills to practical case studies, gaining insight into real-world use cases such as employee attrition prediction. The course then introduces the Naive Bayes classifier, teaching you how to apply probabilistic methods for fast, efficient predictions, before finishing with decision trees. You’ll understand key concepts like entropy and the Gini index and practice hyperparameter tuning to optimize your models for accuracy. By the end of this 5-module course, you will have: • Gained confidence in preparing and analyzing datasets with EDA techniques. • Implemented linear and logistic regression for predictive and classification tasks. • Applied Naive Bayes and decision trees to solve practical machine learning problems. • Built the skills to take on more advanced machine learning projects. This course is ideal for learners who already have some experience with Python and ML basics and want to strengthen their ability to model, analyze, and solve real-world data problems. Updated in May 2025, this course now includes Coursera Coach: An interactive learning companion that helps you test your knowledge, challenge assumptions, and deepen your understanding as you progress.
Northwestern University
Leadership Through Social Influence
This course will provide learners with a systematic general framework for analyzing persuasive influence situations. Learners will be able to identify different challenges faced by persuaders and to fashion appropriate strategies for addressing those challenges. The broad goal is to provide learners with not only an extensive persuasion tool kit, but also with an understanding of how different tools are useful in different situations. Specifically, the course will address four broad topics: strategies for influencing people’s personal attitudes; strategies for affecting social factors influencing behavior; strategies for affecting people’s perceived ability to undertake the desired behavior; and strategies for inducing people to act on their existing intentions.
Universidad Nacional Autónoma de México
Introducción a Data Science: Programación Estadística con R
Este curso te proporcionará las bases del lenguaje de programación estadística R, la lengua franca de la estadística, el cual te permitirá escribir programas que lean, manipulen y analicen datos cuantitativos. Te explicaremos la instalación del lenguaje; también verás una introducción a los sistemas base de gráficos y al paquete para graficar ggplot2, para visualizar estos datos. Además también abordarás la utilización de uno de los IDEs más populares entre la comunidad de usuarios de R, llamado RStudio. Objetivo Al término del curso: Utilizarás el lenguaje de programación R con el fin de manipular datos, generar análisis estadísticos y representación gráfica, a través del procesamiento de datos cuantitativos. Forma de trabajo Este curso busca introducirte en el lenguaje de programación estadística R, un lenguaje computacional diseñado para el análisis estadístico de datos. Este curso está dirigido a estudiantes y profesionales que tienen interés en poder utilizar esta herramienta, para leer, manipular, analizar y graficar datos. Utilizarás un IDE (Ambiente de Desarrollo Integrado) muy popular para trabajar con el lenguaje R, llamado RStudio, que se ha vuelto el IDE de facto para programar en R. En cada módulo encontrarás videos que te guiarán en la instalación de las herramientas a utilizar, así como explicaciones de las operaciones básicas y los elementos específicos que ofrecen un manejo más profundo del lenguaje. También hallarás algunas referencias bibliográficas para ahondar en el tema que sea de tu interés. Para complementar las lecciones, realizarás prácticas con el lenguaje, las cuales tendrán valor para la evaluación.
Coursera
Instagram Stories: Maximize Interaction
Explore how to use Instagram Stories to boost engagement and build stronger connections with your audience. This course covers interactive tools like polls, questions, and quizzes, and shows how to use them strategically to encourage participation and gather feedback. You’ll also learn to optimize Stories with hashtags, mentions, and location tags to increase visibility. With expert tips, a hands-on activity, and a tutorial demonstrating Stories techniques, you’ll be ready to create impactful, interactive Stories that reflect your brand.