The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
Google Cloud
Set up a SIEM forwarder on a Linux Instance
This is a self-paced lab that takes place in the Google Cloud console. Install and configure a SIEM forwarder on a Linux host, then send sample logs using a file collector and observe the ingested logs in a live Chronicle environment.
Google Cloud
Google Workspace コアサービス
このコースは、Google Workspace コアサービスを包括的に理解することを目的としたものです。このコースでは、Gmail、カレンダー、ドライブ、Meet、Chat、ドキュメントなどのサービスに関する設定の有効化、無効化、構成について学びます。次に、ユーザーを支援するために Gemini をデプロイして管理する方法を学びます。最後に、タスクの自動化や Google Workspace アプリケーションの機能拡張を目的とした AppSheet や Apps Script のユースケースを確認します。
Coursera
Build a Machine Learning Web App with Streamlit and Python
Welcome to this hands-on project on building your first machine learning web app with the Streamlit library in Python. By the end of this project, you are going to be comfortable with using Python and Streamlit to build beautiful and interactive ML web apps with zero web development experience! We are going to load, explore, visualize and interact with data, and generate dashboards in less than 100 lines of Python code! Our web application will allows users to choose what classification algorithm they want to use and let them interactively set hyper-parameter values, all without them knowing to code! Prior experience with writing simple Python scripts and using pandas for data manipulation is recommended. It is required that you have an understanding of Logistic Regression, Support Vector Machines, and Random Forest Classifiers and how to use them in scikit-learn. 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.
Packt
Hands-on with GNS3
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 course, you will master GNS3 from installation to advanced configurations. By the end, you will confidently simulate lab environments and even test production scenarios. Through hands-on practice, you will learn how to install GNS3 on multiple platforms such as Windows, macOS, Ubuntu, and ESXi. You'll also explore how to add Cisco IOS images, Dynamips, and VIRL images, enhancing the software's functionality to create robust networking topologies. The course structure walks you through every essential component, starting with the basics—setting up and installing GNS3, followed by configuring the necessary tools for effective use. As you progress, you will learn to build a network topology and fine-tune it by adding different image files. Upgrading your GNS3 setup to the latest version is also part of the course to ensure you have access to the newest features. Ideal for IT professionals looking to enhance their networking skills, this course has no prerequisites and is suitable for those at the beginner to intermediate level. Whether you're a student, network engineer, or anyone interested in network simulation, this course will help you leverage GNS3 for practical networking applications.
Università Bocconi
Management of Fashion and Luxury Companies
Learn how fashion and luxury companies work and understand their brands, products, retail, and communication strategies. Travel through business models, international development, and product categories with industry influent experts. Adopting a case-study approach, the course presents strategic brand management in luxury and fashion companies as a balancing act: tradition vs. innovation, expertise vs. experimentation, casual vs. stylish; in order to increase the brand value by nurturing the brand heritage and at the same time staying fresh, relevant, and contemporary in the global marketplace. Topics such as the impact of new retail channels, new media channels, and new business declinations for the brand and emerging markets will be discussed in the course.
Google
Daten Analysieren, um Fragen zu Beantworten
Dies ist der fünfte Kurs im Google Data Analytics Certificate. In diesen Kursen lernen Sie alles, was Sie für eine Einstiegsposition in der Datenanalyse benötigen. In diesem Kurs untersuchen Sie die Analysephase des Datenanalyseprozesses. Sie wenden das, was Sie bisher gelernt haben, auf Ihre Analyse an, um die erfassten Daten zu verstehen. Sie erfahren, wie Sie Ihre Daten mithilfe von Tabellenkalkulationen und SQL organisieren und formatieren, damit Sie sie auf unterschiedliche Weise betrachten und über sie nachdenken können. Außerdem erfahren Sie, wie Sie komplexe Berechnungen mit Ihren Daten durchführen, um Geschäftsziele zu erreichen. Während Sie Ihre Analyse durchführen, lernen Sie, wie Sie Formeln, Funktionen und SQL-Abfragen verwenden. 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: - erfahren, wie Sie Daten für die Analyse organisieren - die Prozesse zum Formatieren und Anpassen von Daten kennenlernen - lernen, wie Sie Daten in Tabellenkalkulationen und mithilfe von SQL aggregieren - Formeln und Funktionen in Tabellenkalkulationen für Datenberechnungen verwenden - erfahren, wie Sie Berechnungen mithilfe von SQL-Abfragen durchführen
Vanderbilt University
From Data to Decisions: Finding Patterns with AI
This course teaches students how to generate univariate graphics, such as histograms and box plots, using generative AI tools to automate and streamline the analysis process. Students will explore conditional means through statistical methods like ANOVA and t-tests, while also using AI to create and interpret visualizations, such as bar charts and dot plots. A key focus will be on leveraging AI to both carry out analyses and generate clear, data-driven explanations of the results. By the end, students will confidently utilize AI to enhance their data analysis and communication skills.
Yale University
Christianity & Ecology
There is a need for broader literacy and deeper knowledge of the world’s religions and their ecological contributions. This course is designed as a gateway to the rich ecological dimensions of the Christian religious tradition. We delve into unique contributions from Catholic, Orthodox, and Protestant Christianity, exploring views on and relationship with the natural world. We additionally highlight the relationship between Christianity and environmental justice, evangelical approaches to “creation care”, and Christian teachings on biodiversity, climate change, and the relationship between human, Earth, and cosmos. This course is for lifelong learners curious to know more about world religions and ecology, environmental professionals eager to deepen the discourse of environmental protection and conservation, those working with non-profit organizations and NGOs on issues of ecological justice, and religious leaders and laity who wish to know how they can contribute to interreligious dialogue on environmental projects.
Arizona State University
Creative Thinking
Leverage your imagination and curiosity to think creatively! Find outside-the-box solutions to even your toughest challenges.
Pearson
Certified Ethical Hacker (CEH): Unit 3
This course covers ethical hacking, with a focus on vulnerability analysis, system hacking, and malware threats. You will learn to identify, assess, and prioritize vulnerabilities in systems and networks, a critical skill for preventing security breaches. You will learn about system hacking and explore techniques for gaining access, escalating privileges, and maintaining control over compromised systems. You will develop a strong understanding of malware threats, including advanced persistent threats and fileless malware, and learn how to implement effective countermeasures. By the end of this course, you will be proficient in using ethical hacking techniques to enhance the security of digital infrastructures.
Coursera
Optimize Deep Learning Models for Peak AI
This short, hands-on course helps learners adapt and optimize deep learning models for real-world use. Learners begin by exploring how transfer learning accelerates model development when data is limited. Through guided practice, they fine-tune a pretrained model, adjust freezing and unfreezing strategies, and troubleshoot common training challenges. The course then shifts to evaluating model configurations for deployment, focusing on accuracy, latency, memory footprint, and efficiency. Learners experiment with optimization methods such as hyperparameter tuning and quantization, compare multiple model setups, and make evidence-based recommendations for production environments. By the end, learners can confidently balance accuracy and performance constraints to choose the right model for their needs.
Kennesaw State University
Organization Planning and Development for the 6 σ Black Belt
This course is designed for professionals interested in learning the principles of Lean Sigma, the DMAIC process and DFSS. This course is number 1 of 8 in this specialization dealing with topics in Organization Planning and Development. Professionals with some completed coursework in statistics and a desire to drive continuous improvement within their organizations would find this course and the others in this specialization appealing. Method of assessment consists of several formative and summative quizzes and a multi-part peer reviewed project completion regiment.
Coursera
Connect Tools Easily
Transform your productivity with seamless tool integration! This Short Course was created to help project management professionals accomplish streamlined workflow automation between Asana and their essential business tools. By completing this course, you'll be able to eliminate context switching, reduce manual data entry, and create automated workflows that keep your projects running smoothly across platforms. By the end of this course, you will be able to: Discuss the benefits of setting up integrations with Asana (Understand) Connect Asana to a third-party tool to streamline workflow processes (Apply) This course is unique because it combines conceptual understanding with hands-on application, ensuring you not only know why integrations matter but can actually implement them effectively. To be successful in this project, you should have a background in basic Asana navigation and project management fundamentals.
Johns Hopkins University
Honors Algebra 2: Algebraic, Exponential & Log Functions
This is the third course in the Honors Algebra 2 sequence. By the end of this course, students will be able to analyze, interpret, and apply advanced families of functions, including exponential, logarithmic, radical, and inverse functions. Learners will develop fluency in evaluating and graphing these functions, solving equations that involve them, and applying their properties to real-world models and predictions. Along the way, students will deepen their understanding of how different function types connect, building a stronger algebraic foundation for future courses in precalculus, calculus, and beyond. This course is designed not only to strengthen core problem-solving skills but also to highlight the power of mathematics as a tool for describing patterns and solving practical problems. What makes this course unique is its balance between theory and application: students gain a clear understanding of the underlying algebraic rules while also engaging with meaningful contexts such as growth and decay, investment modeling, and data analysis. By completing this course, learners will be prepared to tackle higher-level mathematics with confidence and insight.
Wesleyan University
History of Mental Illness
Our lexicon of mental illness is immense: There currently are hundreds of classified disorders and an extensive assortment of medications and therapies. This course explores the history of this productive science -- its discoveries, classifications, and treatments of psychiatric distress. The excursion begins with a general introduction and proceeds to explore 4 kinds of mental illness: neurasthenia, depression, attention deficits (ADD/ADHD), and narcissism. Each kind is examined in terms of its scientific research and classification; treatments developed to cure or alleviate its symptoms; lived-experiences of those so diagnosed with the disorder; and critical reflection on the diagnosis. This course departs from histories that mainly chronicle scientific achievements and, instead, invites you to investigate how the scientific discoveries and therapies were deeply informed by cultural conditions of the time. The cultural influences on psychiatric science include ideals of individual happiness; conceptions about what is ‘normal’; notions of rational personhood; and existing social, gender, and racial hierarchies/biases. We investigate these cultural dynamics and then look at the lived experiences of those who were diagnosed or living with the condition. Paying attention to culture and lived experiences accords with the perspective of “mad studies,” a recent movement to foreground the people who suffer and the socio-political conditions surrounding their experiences. Exploring cultural dynamics and lived experiences along with the scientific milestones prepares us to critically reflect on world of psychopathology and on psychopathology in the world. In our reflection classes we will ask, for instance, about the forces behind incredible increases in depression and attention deficit disorder; racial and gender biases in research and treatment; the apparent happiness epidemic; and the prospects of neurodiversity.
Packt
Unreal Engine 5 - Endless Runner
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. Embark on an exciting journey to create an endless runner game using Unreal Engine 5, a leading tool in game development. The course starts with the basics, including installation, project creation, and an in-depth exploration of the Unreal Engine interface. You'll quickly move from setting up your first project to laying the groundwork for your game, ensuring a solid foundation for more complex development tasks. As you progress, you'll delve into the heart of gameplay development. This section covers everything from character setup and movement mechanics to the intricacies of spawning tiles, obstacles, and AI elements that chase the player. You'll also learn how to implement scoring systems, acceleration, and collectible items like coins, all of which are crucial for creating an engaging player experience. Each topic is covered in detail, allowing you to gain a deep understanding of game mechanics. Finally, you'll bring your game to life by focusing on aesthetics and polish. Learn how to add environmental elements like buildings and distance fog to enhance the visual appeal. Implement camera shakes, animation blueprints, and ensure your game feels responsive and complete with bug fixes, HUD creation, and audio integration. By the end of the course, you'll have a fully functional and polished endless runner game, ready to be shared with the world. This course is ideal for aspiring game developers and designers who have basic programming knowledge and a passion for gaming. While no prior experience with Unreal Engine 5 is required, familiarity with game development concepts will be beneficial.