The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
Politecnico di Milano
Artificial Intelligence and legal issues
The purpose of the course is to help students understand the legal implications related to the design and use of artificial intelligence systems, providing an overview of the risks and legal protections that can be envisaged and giving an overview of the legislation and legal principles currently applicable on the subject. In particular, the profiles of civil and criminal liability, protection in terms of intellectual property and the impacts of AI on the fundamental rights of the individual - including privacy and the right to non-discrimination – will be examined.
EDUCBA
Apply jQuery Concepts Through Practical Case Studies
Learners will identify, apply, and analyze core jQuery concepts to build interactive, responsive, and maintainable web interfaces. By the end of the course, learners will be able to manipulate the DOM efficiently, handle user-driven events, and implement real-world interaction logic using jQuery best practices. This course provides a structured, hands-on approach to mastering jQuery, starting with foundational concepts and progressing through guided sample programs to a complete real-world case study. Rather than focusing only on syntax, the course emphasizes practical application, allowing learners to see how jQuery is used to solve common frontend development challenges. Each module builds incrementally, helping learners connect theory with execution and reinforcing learning through examples and assessments. What makes this course unique is its case-study-driven design. Learners move beyond isolated code snippets to complete and analyze a full jQuery solution, developing problem-solving skills that translate directly to real-world projects. This course is ideal for beginners and aspiring frontend developers who want to strengthen their JavaScript skills and confidently apply jQuery in practical web development scenarios.
University of Illinois Urbana-Champaign
Innovation: From Creativity to Entrepreneurship Capstone
The capstone for the specialization will provide a learning experience that integrates across all the courses within it. It will involve analysis of a situation concerning a new enterprise – a venture of one’s own or within a larger organization – to develop the current business model and compare against alternative business models so as to identify potential opportunities and challenges.
Coursera
Desarrollo del mapa de experiencia del cliente con Miro
Gracias a este curso aprenderás a desarrollar un mapa de experiencia de usuario en Miro que te permitirá conocer que parte de tu negocio o servicio es mejorable. Miro es una herramienta que te permite utilizar pizarras virtuales infinitas y a colaborar en tiempo real con todo tu equipo, independientemente de donde se encuentren. Para ello, te guiaremos desde cero para que aprendas que es un mapa de experiencia de usuario, cómo puede ayudarte a conocer la experiencia de usuario con tu producto/servicio y a como desarrollarlo con algunos casos de uso real. Después avanzaremos con Miro, desde el manejo básico, la utilización de plantillas y funcionalidades avanzadas. Finalmente desarrollarás un proyecto de principio a fin donde utilices todo lo aprendido acerca del mapa de experiencia de usuario y de Miro.
Google Cloud
Gemini for Application Developers - 日本語版
このコースでは、生成 AI を活用した Google Cloud のコラボレーター、Gemini が、デベロッパーのアプリケーション構築にどのように役立つかについて学びます。コードの説明、Google Cloud サービスの提案、アプリケーションのコード生成を Gemini に指示する方法について学びます。ハンズオンラボを使用して、Gemini でアプリケーション開発ワークフローがどのように向上するかを体験します。 Duet AI は、次世代モデルである Gemini に名称変更されました。
Google
Eine Fallstudie Anfertigen
Dies ist der achte Kurs im Google Data Analytics Certificate. Sie haben die Möglichkeit, eine optionale Fallstudie anzufertigen, die Sie auf die Jobsuche im Bereich Data Analytics vorbereitet. Fallstudien werden häufig von Arbeitgebenden verwendet, um analytische Fähigkeiten zu bewerten. Für Ihre Fallstudie wählen Sie ein analysebasiertes Szenario aus. Anschließend stellen Sie Fragen, bereiten die Daten aus dem Szenario vor, verarbeiten, analysieren, visualisieren sie und reagieren auf sie. Sie erlernen auch andere nützliche Fähigkeiten für die Jobsuche durch Videos mit häufigen Fragen und Antworten bei Vorstellungsgesprächen, hilfreiche Materialien zum Aufbau eines Online-Portfolios und vieles mehr. Bei Google tätige Fachleute für die Datenanalyse werden Sie weiterhin anleiten und Ihnen praktische Möglichkeiten zeigen, wie Sie häufige Datenanalyseaufgaben mithilfe der besten Tools und Ressourcen erledigen können. Nach Abschluss dieses Zertifikatsprogramms sind Lernende bestens gerüstet, um sich auf Einstiegspositionen in der Datenanalyse zu bewerben. Es sind keine Vorkenntnisse erforderlich. Im Verlauf dieses Kurses werden Sie: - die Vorteile und Nutzen von Fallstudien und Portfolios bei der Jobsuche kennenlernen - reale Szenarien und häufige Fragen eines Vorstellungsgesprächs kennenlernen - erfahren, inwiefern Fallstudien Teil des Bewerbungsprozesses sein können - verschiedene Fallstudienszenarien untersuchen und berücksichtigen - die Möglichkeit haben, Ihre eigene Fallstudie für Ihr Portfolio anzufertigen
Coursera
Establish Company Training Initiatives with Canvas
In this 2-hour long project-based course, you will be able to create pages and modules within the Canvas LMS. This will benefit your business as you will be able to input training content into pages and then organize the pages into comprehensible chunks for your team. You will also learn how to view specific user analytic details. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
Google Cloud
Defining and Implementing Networks - Português
Este curso de treinamento autoguiado oferece aos participantes um amplo estudo sobre opções de rede no Google Cloud. Com o auxílio de palestras gravadas, demonstrações e laboratórios práticos, os participantes conhecem e implantam tecnologias de rede do Google Cloud, como redes, sub-redes e firewalls de nuvem privada virtual (VPC) do Google Cloud. O curso também inclui informações sobre o controle de acesso a redes, compartilhamento de redes e balanceamento de carga.
Google Cloud
Machine Learning in the Enterprise - Italiano
Questo corso adotta un approccio pratico reale al flusso di lavoro ML attraverso un case study. Un team ML è chiamato a rispondere a numerosi requisiti aziendali e ad affrontare vari casi d'uso ML. Deve comprendere gli strumenti necessari per la gestione e la governance dei dati e considerare l'approccio migliore per la pre-elaborazione dei dati. Al team vengono presentate tre opzioni per creare modelli ML per due casi d'uso. Il corso spiega perché il team utilizzerà AutoML, BigQuery ML o l'addestramento personalizzato per raggiungere i propri obiettivi.
University of Colorado Boulder
Data Understanding and Visualization
The "Data Understanding and Visualization" course provides students with essential statistical concepts to comprehend and analyze datasets effectively. Participants will learn about central tendency, variation, location, correlation, and other fundamental statistical measures. Additionally, the course introduces data visualization techniques using Pandas, Matplotlib, and Seaborn packages, enabling students to present data visually with appropriate plots for accurate and efficient communication. Learning Objectives: 1. Understand and communicate the various aspects of statistics of datasets, including measures of central tendency, variation, location, and correlation. 2. Gain insights into basic statistical concepts and use them to describe dataset characteristics effectively. 3. Utilize Pandas for data manipulation and preparation to set the foundation for data visualization. 4. Master the utilization of Matplotlib and Seaborn to create accurate and meaningful data visualizations. 5. Choose appropriate plot types for different data types and research questions to enhance data comprehension and communication. Throughout the course, students will actively engage in practical exercises and projects, enabling them to explore statistical concepts, conduct data analysis, and effectively communicate insights through compelling visualizations. Throughout the course, students will actively engage in practical exercises and projects that involve statistical analysis and data visualization. By the end of the course, participants will be equipped with the knowledge and skills to explore, analyze, and communicate insights from datasets effectively through descriptive statistics and compelling visualizations.
Coursera
كيفية استعمال سيرفي مونكي للشركات الصغيرة
عند الانتهاء من هذه الدورة التدريبية ستكون قد تعرفت بالإجمال على سيرفي مونكي وكيفية استخدامها. ستصبح قادرا على إنشاء استبيانات، وجمع الردود، وتحليل النتائج الواردة من زبنائك عبر الإنترنت لفهم الملاحظات بشكل أفضل. ستتضمن هذه الدورة التدريبية إرشادات تدريجية ومهارات المستوى المتوسط إلى المتقدم باستخدام الإصدار المجاني. ستصبح قادرًا على جمع التعليقات عبر رابط الويب أو وسائل التواصل الاجتماعي الخاصة بك.
Coursera
Decide Smart: AI-Powered Pros, Cons, Values
Transform how you approach tough decisions—from anxious avoidance to structured confidence. You'll learn the Pros-Cons-Mitigations framework that turns overwhelming choices into clear analysis by adding one crucial element most people miss: specific actions to reduce your biggest concerns. Master using AI tools like ChatGPT and Claude to generate comprehensive options you might not see on your own—then process that output critically rather than accepting it blindly. Most importantly, learn to align your decisions with your authentic values, so you make choices you can actually live with, not just choices that 'make sense.' Through realistic role plays and coach dialogues, you'll practice explaining the framework and evaluating real decisions. Designed for anyone facing career moves, major purchases, relationship choices, or life transitions. No technical background required.
IBM
데이터 과학이란 무엇인가?
The art of uncovering the insights and trends in data has been around since ancient times. The ancient Egyptians used census data to increase efficiency in tax collection and they accurately predicted the flooding of the Nile river every year. Since then, people working in data science have carved out a unique and distinct field for the work they do. This field is data science. In this course, we will meet some data science practitioners and we will get an overview of what data science is today.
Imperial College London
Linear Regression in R for Public Health
Welcome to Linear Regression in R for Public Health! Public Health has been defined as “the art and science of preventing disease, prolonging life and promoting health through the organized efforts of society”. Knowing what causes disease and what makes it worse are clearly vital parts of this. This requires the development of statistical models that describe how patient and environmental factors affect our chances of getting ill. This course will show you how to create such models from scratch, beginning with introducing you to the concept of correlation and linear regression before walking you through importing and examining your data, and then showing you how to fit models. Using the example of respiratory disease, these models will describe how patient and other factors affect outcomes such as lung function. Linear regression is one of a family of regression models, and the other courses in this series will cover two further members. Regression models have many things in common with each other, though the mathematical details differ. This course will show you how to prepare the data, assess how well the model fits the data, and test its underlying assumptions – vital tasks with any type of regression. You will use the free and versatile software package R, used by statisticians and data scientists in academia, governments and industry worldwide.
University of Colorado System
Wilderness First Aid - Medical Emergencies
In this course, students will learn to identify and treat common traumatic injuries in the wilderness, and how to identify the difference between blunt and penetrating trauma. They will also be taught about common injuries of the chest, abdomen, pelvis, and signs and symptoms of different types of head trauma along with how to identify when a condition would warrant immediate evacuation.
Fred Hutchinson Cancer Center
Researcher's guide to DNA sequencing data
This course is a follow up course to "Researcher's Guide to Fundamentals of Omic Data" which dives into further detail about DNA informatics methods! This course is for individuals who: - Have taken Researcher's Guide to Fundamentals of Omic Data - Have DNA data and don’t know what to do with it. - Want a basic overview of their DNA focused data type. - Want to find resources for processing and interpreting DNA data What this course will cover: - Fundamentals of DNA methods. - Resources you may consider looking into for your own purposes. - Questions you should ask yourself and your colleagues about your goals and experimental design. What this course will NOT cover: - Code needed to process your data. - Details about every type of experimental design. - Everything you’d need to know to make you a computational biologist. In other words we still highly encourage you to consult your informatics and computational colleagues, especially those who may have done any handling of data you are trying to learn about.