The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
Google
4. ツールを使いこなす：Linux と SQL
Google サイバーセキュリティ プロフェッショナル認定証の 4 つめのコースです。各コースでは初級サイバーセキュリティの職に必要なスキルを身につけることができます。 このコースでは、サイバーセキュリティ アナリストとして実際に業務で使用するコンピュータ スキルを探求します。まず、サイバーセキュリティの職種でよく使われるオペレーティング システム（OS）である Linux の使い方を学びます。例えば、Bash シェルによる Linux のコマンドラインを使って、ファイル システムの操作や管理、ユーザー認証を実行します。そして、データベースと通信するために SQL を使う方法についても学びます。 サイバーセキュリティの分野で働いている現職の Google 社員が最適なツールやリソースを使って一般的なサイバーセキュリティの業務を遂行する実践的な方法を指導します。また就職活動への準備も手助けします。 この認定プログラムを修了すると、エントリーレベルのサイバーセキュリティの職に応募できるようになります。過去の業務経験は不要です。
Packt
Managing Hybrid Storage, File Services and Network
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 focuses on managing hybrid network infrastructure and storage services in a hybrid environment. You will learn to integrate DNS with Active Directory Domain Services (AD DS), configure DNS zones and records, and manage DNSSEC and forwarding. The course also covers implementing DHCP, IP Address Management (IPAM), and remote access roles, including site-to-site VPNs and the Network Policy Server. You will explore managing Azure network solutions, such as Azure Virtual WAN, Azure AD Application Proxy, and Azure Relay. Additionally, the course delves into managing hybrid storage with Azure File Sync, configuring cloud endpoints, and monitoring file sync. It also includes migrating DFS to Azure File Sync, configuring Windows Server File Share Access, and implementing Distributed File Systems (DFS). You will learn to manage storage with tools like Storage Spaces, Storage Replica, Data Deduplication, SMB Direct, and Storage QoS, as well as configure file systems and manage branch caching. This course is ideal for IT professionals managing hybrid infrastructures and storage environments, particularly those working with Azure and Windows Server technologies. Basic knowledge of networking and storage management will be beneficial.
Dubai College of Tourism
Build Your Career in Dubai's Hospitality Sector
Welcome to Launch Your Dubai Hospitality Career, a course designed to help you step confidently into one of the most vibrant and rewarding industries in the world. Dubai’s hospitality sector is known for its excellence, innovation and world-class service. Whether you dream of greeting guests at a luxury hotel, curating unforgettable travel experiences or leading a global brand, this course will guide you through the essential knowledge, skills and professional mindset needed to begin your journey. You’ll explore how to build your professional identity, present yourself professionally and develop the interpersonal and practical skills that employers value most. You’ll also learn how to create a standout CV and cover letter, master interview techniques and work effectively as part of a dynamic multicultural team. By the end of the course you’ll have not only the confidence to pursue your dream role but also a clear roadmap to grow your career within Dubai’s ever-evolving hospitality landscape.
Interactive Brokers
ESG-focused Financial Products
As ESG investing continues to evolve, so do the funding mechanisms many companies, organizations, and governments use to finance their stated goals. Indeed, ESG-focused financial products, or ‘green assets’, have been growing in volume – as well as by type. In the fixed income space alone, instruments available to investors include green bonds, social bonds, sustainability-linked bonds, climate awareness bonds, gender bonds, and others – not to mention a growing list of ESG-themed exchange-traded funds (ETFs). Through this series of videos, webinars, and readings, students with basic knowledge of traditional financial products (e.g., bonds, ETFs) will learn how to describe various characteristics of green assets, including the supply, demand, and performance of green bonds, as well as holdings of certain ESG-themed ETFs, and discuss the recent growth of related fund flows. They should also be able to explain the principles and frameworks behind the issuance of different ESG-related fixed income products, as well as provide insights into how certain government and central bank policies may pose some critical challenges in this space.
Erasmus University Rotterdam
Studying Cities: Social Science Methods for Urban Research
Welcome! Are you looking to learn more about how to conduct scientific research, specifically in an urban or local context? Then you have found the right course: Studying Cities: Social Science Methods for Urban Research by the Institute for Housing and Urban Development Studies (IHS), Erasmus University Rotterdam. During the course you will gain more insight in the different steps of the research cycle, and build a firm foundation for your own future research endeavors. Before any (urban) researcher may start conducting research, it is crucial to understand the different aspects and elements of doing research. The course will guide you through the various steps of the research cycle to provide you with the basic knowledge necessary for any Master-level program, but with a special focus on urban and local development. The course starts with introductory lectures on the problem statement, research objective, empirical cycle and the research question. Over the following weeks you will also learn the components and criteria of the theoretical framework and operationalization, research strategies, and the collection and analysis of quantitative and qualitative data. You will be provided with the necessary tools to understand and evaluate these key steps in scientific research by watching video lectures with in-video questions and by completing the final peer review, which will use all the elements you have learnt throughout the course.
University of Illinois Urbana-Champaign
Untersuchen und Erstellen von Daten für Unternehmen
Dieser Kurs bietet einen analytischen Rahmen zur strukturierten Beurteilung von Schlüsselproblemen und gibt Ihnen Tools an die Hand, mit denen Sie die Unsicherheiten besser in den Griff bekommen, die in Geschäftsprozessen auftreten und diese komplizieren. Sie werden insbesondere in die Statistik eingeführt und in die Art und Weise, wie man Daten zusammenfasst. Sie erfahren etwas über Häufigkeitskonzepte, Normalverteilung, statistische Untersuchungen, Stichproben und Konfidenzintervalle. Sie werden zwar in einige Gebiete der didaktischen Wissenschaft eingeführt, der Schwerpunkt liegt jedoch auf der Anwendung von Methoden. Dies geschieht mittels Excel und Datensätzen aus vielen verschiedenen Fachrichtungen und ermöglicht Ihnen, etwas über die Anwendung von Statistik in sehr unterschiedlichen Situationen zu lernen. Schwerpunkte des Kurses sind nicht allein die Erklärung dieser Konzepte, sondern ebenfalls das Verständnis der Bedeutung erzielter Resultate. Wenn Sie diesen Kurs erfolgreich absolviert haben, werden Sie in der Lage sein: • umfangreiche Datensätze in grafischer, tabellarischer und numerischer Form zusammenzufassen. • zu verstehen, welche Bedeutung ordnungsgemäße Stichprobenverfahren haben und warum Sie sich auf Stichprobendaten verlassen können. • zu verstehen, warum Normalverteilung in so vielen Situationen angewandt werden kann. • Stichprobeninformationen zu verwenden, um mit einem gewissen Grad an Sicherheit im Hinblick auf die Genauigkeit der Schätzungen Rückschlüsse auf die Population zu ziehen. • Excel für statistische Analysen einzusetzen. Dieser Kurs ist Teil des von der University of Illinois angebotenen iMBA, einem flexiblen, voll anerkannten Online-MBA zu einem unglaublich günstigen Preis. Ausführliche Informationen erhalten Sie auf der Seite „Resources“ in diesem Kurs sowie unter onlinemba.illinois.edu.
Emory University
"Making" Progress Teach-Out
What is “progress”? How do we decide when we’re moving forward and not taking steps backward? And how do we explore the idea of progress around public sites of memory? This Teach-Out is an invitation to think about what progress means, and how you can look for it wherever you are—in your city, community, or neighborhood—and reflect upon your own ideas about the place you live in. Changes in the built environment of our communities are themselves the result of human actions and intentions, such as municipal planning, commercial enterprises, or communities transforming their own space. In other words, in our cities we can see the results of our plans—our attempts to create and shape the future. Neighbors, political groups, corporations, governments, schools, and other organizations, they all shape the community, leaving traces that allow us to see in what directions they transformed our lives. This Teach-Out will ask the following questions: • What are the forces that shape and change the places we inhabit? • How do people connect with places in our modern cities? • Do places progress? • How can we measure in them whether there is any “progress”? We will interview a number of people who work in Atlanta, Georgia, but the questions and places we will see here are comparable to many of other places in the world on what it means to progress. In this Teach-Out you will learn how to find the history of public spaces in any community and how to reflect upon the idea of progress. Finally, you can join a conversation to discuss what has been explored, uncovered, and possibly transformed both within ourselves and our communities. A Teach-Out is: – an event – it takes place over a fixed, short period of time – an opportunity – it is open for free participation to everyone around the world – a community – it will be joined by a large number of diverse individuals – a conversation – an opportunity to give and take ideas and information from people This community learning event invites participants from around the world to come together in conversation with the Emory campus community, including faculty experts. This Teach-Out is part of Emory’s commitment to engage the local and global community in exploring and understanding problems, events, and phenomena most important to our society. Originating from University of Michigan (Teach-Out.org), Teach-Outs are short learning experiences focused on a specific current issue. Attendees will come together over a few days not only to learn about a subject or event but also to gain skills. Teach-Outs are open to the world and are designed to bring together individuals with wide-ranging perspectives in respectful and deep conversation. These events are an opportunity for diverse learners and a multitude of experts to come together to ask questions of one another and explore new solutions to the pressing concerns of our global community. Come, join the conversation!
Red Hat
Getting Started with Linux Fundamentals
This is an introductory course intended for users and developers to acclimate to the Red Hat Enterprise Linux desktop and command-line interfaces. Course objectives: Prepare candidates for their adoption of Red Hat Enterprise Linux 9.
IBM
Data Science Methodology
If there is a shortcut to becoming a Data Scientist, then learning to think and work like a successful Data Scientist is it. In this course, you will learn and then apply this methodology that you can use to tackle any Data Science scenario. You’ll explore two notable data science methodologies, Foundational Data Science Methodology, and the six-stage CRISP-DM data science methodology, and learn how to apply these data science methodologies. Most established data scientists follow these or similar methodologies for solving data science problems. Begin by learning about forming the business/research problem Learn how data scientists obtain, prepare, and analyze data. Discover how applying data science methodology practices helps ensure that the data used for problem-solving is relevant and properly manipulated to address the question. Next, learn about building the data model, deploying that model, data storytelling, and obtaining feedback You’ll think like a data scientist and develop your data science methodology skills using a real-world inspired scenario through progressive labs hosted within Jupyter Notebooks and using Python.
University of Michigan
تنميط متقدم بتصميم سريع الاستجابة
كان من المعهود فيما مضى أن يرى كل شخص صفحات إنترنت على شاشة لها نفس الحجم تقريبًا. ولكن مع انبثاق ثورة استعمال الهواتف الذكية للدخول إلى شبكة الإنترنت، تغير عرض التصاميم كليًا. يتوقع الأفراد في الوقت الراهن أنها ستعمل بصرف النظر عن المنصة (هاتف ذكي أو جهاز لوحي أو جهاز حاسوب محمول أو جهاز حاسوب مكتبي). ويُطلق على تلك الإمكانية المتعلقة بالاستجابة لأي منصة التصميم سريع الاستجابة. وسيتعمق هذا المساق في المعارف الأساسية للغة CSS3 ليحوي موضوعات من قبيل الإطارات السلكية والتصميم السلس واستعلامات الوسائط واستخدام نماذج التنميط الحالية مثل بوتستراب. بعد الانتهاء من دراسة المساق، سيتمكن الدارسون من: إيضاح نموذج الجوال أولًا وأهمية الإطارات السلكية في مرحلة التصميم واستخدام إطارات التصاميم الحالية مثل بوتستراب. هذا هو المساق الرابع في تخصص تصميم مواقع الويب للجميع. يُتوقع أن تحظى بإلمامٍ جوهريٍ للغتي HTML وcss عند الالتحاق بهذا المساق. ينصب تركيز المساقات الأخرى على زيادة التفاعل مع لغة البرمجة جافاسكريبت وإنجاز مشروع ختامي.
H2O.ai
H2O Cloud AI Developer Services
Elevate your AI development skills with H2O Cloud AI Developer Services! This comprehensive program is designed to provide you with an in-depth understanding of H2O ai's cloud-based AI services, tailored for developers, data engineers, and AI practitioners like you. Led by H2O ai makers Audrey Létévé, Senior Customer Data Scientist, and Jon Farland, Director of Solutions Engineering, this course offers invaluable insights from real-world AI implementations. Why H2O Cloud AI? Tabular Services: Imagine effortlessly scaling your machine learning models on tabular data. We'll explore AutoML, seamless data connectivity, and advanced features that empower you to tackle real-world projects with confidence. Language Services: Customizing and deploying NLP solutions has never been easier. From Hydrogen Torch to sophisticated language models, we'll equip you with the tools to conquer enterprise use cases. Vision Services: Dive into the world of computer vision. Learn data labeling with Label Genie, harness document AI capabilities, and build robust vision models using Hydrogen Torch. AI Assistants Services: Streamline your workflow with intelligent code suggestions and automations. Say goodbye to mundane tasks—our AI assistants have your back. By the end, you will be able to create, automate, monitor, and share AI solutions using the H2O Cloud AI platform, optimizing your business use cases across different data types and domains. This course will prepare you to lead in the fields of AI and data science with confidence.
University of Leeds
Statistical Methods
Build your statistics and probability expertise with this short course from the University of Leeds. The first week introduces you to statistics as the art and science of learning from data. Through multiple real-life examples, you will explore the differences between data and information, discovering the necessity of statistical models for obtaining objective and reliable inferences. You will consider the meaning of "unbiased" data collection, reflecting on the role of randomization. Exploring various examples of data misrepresentation, misconception, or incompleteness will help develop your statistical intuition and good practice skills, including peer review. In the second week, you will learn and practice R software skills in RStudio for exploratory data analysis, creating graphical and numerical summaries. The final week will involve completing probability experiments and computer simulations of binomial trials, such as tossing a coin or rolling a die. This will help you develop an intuitive concept of probability, encompassing both frequentist and subjective perspectives. Throughout the course, you will acquire vital statistical skills by practicing techniques and software commands and engaging in discussions with fellow students. By the end of the course, you will be able to: - Understand and explain the role of statistical models in making inferences from data. - Implement appropriate tools for numerical and graphical summaries using RStudio, and interpret the results. - Evaluate the stability of frequencies in computer simulations through experimental justification and "measurement" of probability. No matter your current level of mathematical skill, you will find practical and real-life examples of statistics in action within this course. This course is a taster of the Online MSc in Data Science (Statistics) but it can be completed by learners who want an introduction to programming and explore the basics of Python.
Packt
Cluster Analysis and Unsupervised Machine Learning in Python
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. Master the art of unsupervised machine learning with this in-depth course on clustering techniques. Begin by understanding the fundamental concepts of unsupervised learning and how clustering is applied in real-world scenarios. You'll gain insights into key algorithms such as K-Means, hierarchical clustering, and Gaussian Mixture Models, while also learning practical implementation in Python. The course is structured to guide you through various clustering techniques, starting with K-Means clustering. Through a combination of theory, hands-on exercises, and visual walkthroughs, you'll learn how to implement these algorithms, evaluate their effectiveness, and overcome their limitations. Next, you'll dive into hierarchical clustering, exploring its applications in data visualization and real-world contexts, such as evolutionary studies and social media analysis. The final sections cover advanced techniques like Gaussian Mixture Models and Expectation-Maximization, alongside practical comparisons with other methods like K-Means. You'll also explore tools for setting up your environment, coding basics for beginners, and effective learning strategies to optimize your experience in machine learning. Designed for data enthusiasts, analysts, and aspiring machine learning practitioners, this course is ideal for learners with basic Python knowledge who want to deepen their expertise in clustering algorithms. Whether you're a beginner or looking to expand your machine learning toolkit, this course has something for everyone.
Coursera
Analyze Budgets and Capital Structures Confidently
Analyze Budgets and Capital Structures Confidently is an intermediate course designed for financial analysts, accountants, and business managers aiming to sharpen their financial oversight and strategic decision-making skills. In today's volatile economic landscape, mastering the interplay between budget control and capital strategy is not just a best practice—it is essential for survival and growth. This course provides a hands-on toolkit to move beyond mere reporting and into the realm of true financial analysis. You will learn to perform rigorous budget variance analysis to diagnose the root causes of cost issues and determine whether they stem from pricing pressures, operational inefficiencies, or shifts in business volume. You will then master the art of capital structure modeling in Excel, stress-testing financing scenarios to evaluate their impact on critical debt covenants and overall risk exposure. Grounded in real-world case studies such as the collapse of Carillion and Tesla's strategic financing, each module is designed to be immediately applicable. By the end of this course, you will not only be able to analyze complex financial data but also develop and defend compelling, data-driven recommendations for leadership. For learners looking to further enhance their quantitative skills, this course is a perfect gateway to advanced topics in the Advanced Business Analytics and Financial Modeling and Forecasting specializations on Coursera. Please note: A solid understanding of financial statements (Profit and Loss, Balance Sheet) and proficiency in spreadsheet software is required. No coding is necessary.
Imperial College London
Using Data for Healthcare Improvement
In this course, you will learn about the importance of measuring the quality of care and health outcomes in order to determine whether Quality Improvement(QI ) initiatives have achieved their aims. You will learn about how data is utilised to identify areas of improvement and the importance of using both quantitative and qualitative data in evaluating change. You will learn about the specific methods appropriate for improvement as distinct from methods more suited to research, including how to design measurement schemes suitable for improvement initiatives
Universidades Anáhuac
Cine Mexicano: Espejo de Identidad y Diversidad Cultural
El cine mexicano representa un espejo de la historia, la cultura y la sociedad del país. Desde sus inicios a finales del siglo XIX, ha experimentado una evolución significativa, adaptándose a los cambios sociales y culturales que han marcado la vida en México. Este curso tiene como objetivo explorar cómo la narrativa audiovisual del cine mexicano se ha transformado a lo largo del tiempo, analizando obras clave y discutiendo los géneros y temas que han definido esta rica tradición cinematográfica. Durante el curso, los participantes tendrán la oportunidad de comprender la evolución del cine mexicano desde sus inicios hasta su contemporaneidad. Se estudiarán películas icónicas y se discutirán sus significados culturales, lo que permitirá a los participantes apreciar la narrativa y la estética que caracterizan al cine mexicano. El cine mexicano abarca una amplia variedad de géneros y temas que reflejan la diversidad cultural del país. A lo largo del curso, se identificarán y discutirán algunos de los géneros más relevantes, como el melodrama rural, la comedia musical, el cine social, entre otros. Además de ser un medio de entretenimiento, el cine mexicano ha sido una herramienta poderosa para la reflexión social y cultural. A través de sus narrativas, el cine ha abordado cuestiones de identidad, pertenencia y resistencia, permitiendo que las voces de diversas comunidades sean escuchadas. El cine mexicano ha desempeñado un papel crucial en la construcción de la identidad nacional. A través de la representación de costumbres, tradiciones y luchas, las películas han contribuido a la formación de una conciencia colectiva que celebra la diversidad cultural del país. Este curso ofrece una oportunidad única para explorar la rica historia del cine mexicano y su evolución a lo largo del tiempo. A través de un análisis crítico de obras clave y la discusión de géneros y temas, los participantes podrán apreciar la complejidad y el impacto del cine en la sociedad mexicana. Al finalizar el curso, los participantes no solo habrán adquirido un conocimiento profundo del cine mexicano, sino que también habrán desarrollado una apreciación por su capacidad de contar historias que resuenan con la experiencia humana.