The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
Georgia Institute of Technology
Network Function Virtualization
This course covers Network Function Virtualization from the perspective of a systems engineer. It first discusses the proliferation of middleboxes in enterprise networks and the necessity of virtualizing these components just like software applications. It then details several optimizations in operating systems to facilitate efficient networking on virtualized hardware followed by design decisions in user-plane libraries for bypassing the kernel for efficient packet processing. It then covers the challenges and solutions for building scalable systems for providing networking services in datacenters, specifically the synergy between SDN and NFV to achieve this. The course concludes with a discussion of real-world applications of NFV technology in the cloud computing ecosystem.
Johns Hopkins University
Bioinformatics Methods for Transcriptomics
This course will cover bioinformatics methods for analyzing transcriptomic RNA sequencing data generated with the short read (RNA-seq) and long read (PacBio, ONT) sequencing. In its four modules, the course addresses the core transcriptomics questions: What are the genes and transcripts expressed in a given sample or condition of an experiment?, What are their expression levels?, and What are the differences in gene expression and splicing patterns between conditions? It provides hands-on instruction on how to use popular and/or emerging tools such as STAR, PsiCLASS, DESeq2, rMATS, MntJULiP, Minimap2 and IsoQuant. This is an intermediate level course, and assumes basic knowledge on using command line bioinformatics tools in a Unix-type environment.
SkillUp
Data Integration, Data Storage, & Data Migration
Data integration, data storage, and data migration are core skills for a data professionals. With data management projected to grow by 140% by 2030 (IoT Analytics), these skills are in hot demand! As part of the IBM Data Manager Professional Certificate, this Data Integration, Data Storage, and Data Migration Strategies gives aspiring data managers the essential skills employers are looking for. During this course, you’ll learn best practices and processes in these three key areas—data integration, storage, and migration. You’ll investigate data integration and automate data aggregation from disparate sources into a single view to make it useful for analysis. You’ll explore data storage methods and processes to ensure your data is organized. Plus, you’ll learn data migration processes businesses use to upgrade their legacy systems and infrastructure with minimal disruption to other business operations. If you’re looking to enhance your resume with the essential skills, a data manager needs to catch an employer’s eye, enroll today and boost your career opportunities in just three weeks!
Coursera
Process Real-Time Data with Spark Streams
Real-time data is everywhere — from fraud detection in financial transactions to personalized recommendations in e-commerce and anomaly detection in IoT devices. Traditional batch processing is too slow for these use cases, and businesses need insights the moment data is generated. This course teaches you how to design, build, and operate reliable streaming pipelines using Apache Spark Structured Streaming and Kafka. In this course, you’ll start with the fundamentals of Spark’s streaming model, learning how micro-batching, triggers, and checkpoints enable continuous processing. You’ll then connect Spark to real-world sources like Kafka, apply event-time processing with watermarks, and deliver results to Delta Lake. Finally, you’ll take pipelines to production by enriching streams with static data, monitoring query health, handling failures, and ensuring scalability. This course introduces you to real-time data processing using Apache Spark Streaming. You’ll learn how to handle continuous data flows, design fault-tolerant stream pipelines, and analyze live data efficiently. By the end, you’ll understand how Spark handles streaming workloads, integrates with various data sources, and powers decision-making in real-world applications. Learners should have a basic understanding of Python programming and Spark DataFrames, along with familiarity with JSON and SQL. By the end, you’ll have the skills to confidently implement streaming solutions that power real-time decision-making in modern data-driven organizations.
The State University of New York
Practical Time Series Analysis
Welcome to Practical Time Series Analysis! Many of us are "accidental" data analysts. We trained in the sciences, business, or engineering and then found ourselves confronted with data for which we have no formal analytic training. This course is designed for people with some technical competencies who would like more than a "cookbook" approach, but who still need to concentrate on the routine sorts of presentation and analysis that deepen the understanding of our professional topics. In practical Time Series Analysis we look at data sets that represent sequential information, such as stock prices, annual rainfall, sunspot activity, the price of agricultural products, and more. We look at several mathematical models that might be used to describe the processes which generate these types of data. We also look at graphical representations that provide insights into our data. Finally, we also learn how to make forecasts that say intelligent things about what we might expect in the future. Please take a few minutes to explore the course site. You will find video lectures with supporting written materials as well as quizzes to help emphasize important points. The language for the course is R, a free implementation of the S language. It is a professional environment and fairly easy to learn. You can discuss material from the course with your fellow learners. Please take a moment to introduce yourself! Time Series Analysis can take effort to learn- we have tried to present those ideas that are "mission critical" in a way where you understand enough of the math to fell satisfied while also being immediately productive. We hope you enjoy the class!
Google Cloud
Google Workspace のデータ ガバナンス
このコースでは、Google Workspace 環境内のデータを管理するためのスキルを身に付けます。まず、Gmail とドライブのデータ漏洩を防止するデータ損失防止（DLP）ルールについて確認します。その後、Google Vault を使用してデータを保持、保存、取得する方法を学習します。次に、規制を遵守するように、データ リージョンおよびエクスポート設定を構成する方法を学びます。最後に、組織とセキュリティを強化するために、ラベルを使用してデータを分類する方法を確認します。
LearnQuest
Designing Robust Information System Security Architectures
This course is designed for Cybersecurity and Application Security Specialists, IT Security Managers and System Administrators, Software Developers, as well as IT Consultants and Penetration Testers. The course will go deeper into the design process, focusing on how to create secure information system architectures. It will cover threat modeling, secure-by-design principles, and integrating security into Software Development Life Cycles (SDLC) for software developers and computer networks. It will also provide IT Managers with strategies to align security design with business needs. By the end of the course, learners should be able to design secure information system architectures that can withstand various threat scenarios.
Google
Office of the CISO Institute: Cybersecurity Essentials
In today’s highly connected world, having an understanding of cybersecurity concepts is increasingly important. Business professionals interested in understanding the risk cybersecurity threats pose to their business, look no further! The Google Cybersecurity Action Team: Cybersecurity Essentials course provides an introduction to cybersecurity terminology, principles, and concepts. Throughout the course, you will cover six security domains, and business continuity and disaster response planning topics. The course includes a series of instructor-led demonstrations to provide real-life examples of cybersecurity tasks in action.
Universidad Nacional Autónoma de México
Resolución de problemas por búsqueda
El curso trata de resolución automática de problemas por medio de algoritmos de búsqueda. Aprenderás a abstraer un problema como un grafo de estados-acciones y a dimensionar su complejidad por medio de la identificación de parámetros. Además, te mostraremos cómo analizar el consumo de recursos computacionales de los algoritmos para seleccionar o adaptar el más apropiado al problema. Nos interesa que puedas aplicar los algoritmos a problemas concretos. Te acompañaremos en la implementación de los algoritmos en el lenguaje de programación Python y te mostraremos algunos ejemplos de su aplicación a ciertos problemas modelo. Al final podrás probar tus algoritmos en un espacio de búsqueda interesante: el resolver el cubo de Rubik.
The University of Sydney
Creative Thinking and Innovation
Creative thinking is one of the most important skills in future work environments. Whether you are working in a large organisation, creating your own startup, or looking for new opportunities in your life, in this course you will learn how to practice creative thinking to come up with innovative ideas. Everyone has the capacity to be creative. You don’t have to be in the “creative” sector to use creativity in your work and life. The course provides you with simple tips and techniques to nurture and practice your creative thinking skills. You will hear how the success of Pixar and Nobel Prizes winners is linked to creative thinking and innovation, and how industry experts from Google and IBM use these skills in their work. This course is delivered with the assistance of the team at INCUBATE - The University of Sydney’s Flagship Startup Program. If you’re part of The University of Sydney community, check out their range of free startup courses and programs here: https://incubate.org.au/
Google Cloud
Introduction to Gemini for Google Workspace - Italiano
Gemini per Google Workspace è un componente aggiuntivo che fornisce ai clienti funzionalità di AI generativa in Google Workspace. In questo percorso di apprendimento imparerai le funzionalità principali di Gemini e come possono essere utilizzate per migliorare la produttività e l'efficienza in Google Workspace.
Coursera
Introduction au CRM avec HubSpot
Dans ce cours d'une heure, basé sur un projet, vous apprendrez comment (objectif d'apprentissage 1, objectif d'apprentissage 2, objectif d'apprentissage 3). Essayez de limiter ce texte à 400-500 caractères. Remarque : ce cours fonctionne le mieux pour les étudiants basés en Amérique du Nord. Nous nous efforçons actuellement d'apporter la même expérience dans d'autres régions.
Infosec
Introduction to Cybersecurity Foundations
Most introductory or beginner level cybersecurity courses are not truly beginner level. Most of them assume some level of technical competence and expect that cybersecurity is not your first technical job role. However, as I've successfully mentored people coming from fields such as nursing, aviation (an airline pilot!), and real estate, I've learned that these people are underserved as far a true introduction. This Learning Path is an answer to that gap.
University of Maryland, College Park
Construction Management Field Operations and Admin Tools
There are many costs associated with construction projects. Some costs are not directly associated with the construction itself but are important to quantify because they can be a significant factor in whether or not the project goes forward. In this course we Illustrate how an estimate evolves over the life of the project. Some topics covered include: Design: Differentiate the different estimate types used in small and large projects during planning and design. Scheduling: In project construction management the schedule is most commonly used to track the project. By systematically analyzing each activity and its relationship to the activities that come before and after it, the construction manager can build a project on paper before committing resources to it. 1. The uses of schedules and types of scheduling methods. 2. How the schedule is a powerful construction management and communication tool. Controls: Project control begins with the identification of the owner’s objectives and ends when those objectives have been met. Project control is a continuous cycle in which construction managers identify a goal, measure results, analyze and make adjustments, and report results. After a construction project has been completed the team responsible for carrying out the work usually split up and go to various other jobs. Tools: The administrative tools used to manage, control, and document the construction management process. Jobsite administration requires diligence for clear procedures and understanding of the importance of recordkeeping. Law: The legal rules that govern the design and construction management processes. Construction law is made up of specialized rules and regulations that govern how people behave in the context of a construction project. Many disputes are moving to alternative dispute resolution methods such as arbitration and mediation to solve construction management disputes. Important safety procedures are also reviewed.
Coursera
Configurer et modifier le paiement dans Facebook Ad Manager
Dans ce projet guidé d'une heure, nous avons d'abord appris à créer un compte publicitaire sur Facebook, étape par étape, l'ajout d'un moyen de paiement, avons conçu notre traitement et séparé les audiences et comment les cibler, la configuration les paiement publicitaires et l'ajout d'une méthode de paiement pour notre publicité sur Facebook. À la fin de ce projet, vous allez être capable à configurer et modifier le paiement dans Facebook Ad Manager.
Macquarie University
Create video, audio and infographics for online learning
Multimodal content enhances learning by engaging diverse learners beyond verbal language. Using video, podcasts, and infographics improves learning outcomes, making content memorable and retainable. This course guides educators, learning designers, and instructors through a systematic process for creating effective multimodal texts. Learn design principles for using video, audio, and infographics. Analyze the features and benefits of various digital content types. This course prepares you to create impactful learning experiences. By the end of this course, you will: 1. Recognize design principles for multimodal content creation. 2. Select, design, and create video, audio, and infographics. 3. Reflect on strengths and weaknesses of different multimodal text types. No specific software experience is required. Basic computer literacy is helpful.