The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
Google Cloud
Cloud Natural Language API: Qwik Start
This is a self-paced lab that takes place in the Google Cloud console. The Cloud Natural Language API lets you extract entities and perform sentiment and syntactic analysis on text. Watch these short videos Gain Valuable Insights from Text with Cloud Natural Language and Cloud Natural Language: Qwik Start - Qwiklabs Preview.
Coursera
AI Keyword Research & Intent
In this beginner-friendly course, learners will learn how to recognize different types of keywords — from broad short-tail terms to specific long-tail and AI-driven queries. Learners will see why intent matters and how it shapes search results. Then, they'll practice using AI-powered tools to generate long-tail queries that improve SEO and content planning. By the end, learners will be able to explain keyword differences and create a research-backed list of queries you can apply directly to your work.
New York Institute of Finance
Operational Risk Management: Frameworks & Strategies
In the final course from the Risk Management specialization, you will be introduced to the different roles in risk governance and the benefits of establishing an operational risk management program at your own workplace. This course will highlight key elements of an Operational Risk Management framework and help you identify the appropriate elements to incorporate in your own program. By the end of the course, you will be able to capture, report, and investigate operational risk events, produce meaningful key risk indicator (KRI) data and trend analysis, assess organizational risk appetite, and design an Operational Risk Control and Self-Assessment program. To be successful in this course, you should have a basic knowledge of statistics and probability and familiarity with business operations. Experience with MS Excel and Python recommended.
EDUCBA
Decentralized Application (DApp) Development
The course aims to provide a thorough understanding of the core principles and characteristics of decentralized applications (DApps). Participants will learn about the benefits and challenges of DApp development, including decentralization, immutability, and user empowerment. ● Participants will acquire the necessary skills to develop front-end interfaces for DApps. They will learn modern web development technologies such as HTML, CSS, and JavaScript frameworks (e.g., React, Angular) to create engaging and user-friendly interfaces that interact with the underlying blockchain. ● The course will cover the integration of smart contracts with DApps. Participants will learn how to interact with smart contracts from the front-end using web3.js or similar libraries, enabling DApps to read from and write to the blockchain, execute transactions, and update contract states. ● Participants will gain insights into designing DApp architecture and optimizing user experience. They will learn best practices for structuring DApps, handling data flows between the front-end and smart contracts, and implementing intuitive user interfaces that seamlessly interact with the blockchain. ● The course will cover essential aspects of testing, deploying, and maintaining DApps. Participants will learn how to write comprehensive tests for their DApp's smart contracts and front-end components, deploy DApps to testnets or the mainnet, and ensure ongoing maintenance and updates to keep their DApps functional and secure. Target Learners: ● Software Developers: Experienced developers interested in expanding their skills into blockchain technology and decentralized application development. ● Blockchain Enthusiasts: Individuals with a keen interest in blockchain technology and its applications, who want to learn how to build decentralized applications. ● Entrepreneurs and Innovators: Individuals looking to explore opportunities in the decentralized finance (DeFi), decentralized autonomous organizations (DAOs), or other blockchain-based ventures. ● Tech Professionals: Professionals in various technology-related fields such as IT, cybersecurity, or fintech who want to enhance their understanding of blockchain technology and its implementation. ● Corporate Developers: Developers working in large corporations who want to understand the potential impact of blockchain technology on their industry and learn how to integrate decentralized applications into existing systems. ● Cryptocurrency Traders and Investors: Individuals involved in trading or investing in cryptocurrencies who want a deeper understanding of the underlying technology and potential investment opportunities in DApps. To be successful in this course, you should have a background in: ● Programming: A solid understanding of programming fundamentals is essential. Proficiency in languages commonly used in blockchain development such as JavaScript, Python, or Solidity (for Ethereum) is particularly useful. ● Web Development: Knowledge of web development technologies such as HTML, CSS, and JavaScript is valuable since many decentralized applications have front-end interfaces. ● Data Structures and Algorithms: Understanding fundamental data structures and algorithms will help in designing efficient and secure decentralized applications. ● Blockchain Basics: Familiarity with basic blockchain concepts such as distributed ledger technology, consensus mechanisms, smart contracts, and cryptographic principles is recommended.
Coursera
TikTok Effects: Sound & Visuals
This course explores the critical role of audio in TikTok success, showing how to strategically incorporate trending sounds, music, and audio effects into their content. You will learn to identify trending audio opportunities, sync visuals with sound, create sound-driven content formats, and use audio to enhance storytelling. The course covers both using existing trending sounds and creating original audio content that has viral potential.
Fundação Instituto de Administração
Integração e Cibersegurança entre os Sistemas de Informação
Nossas boas-vindas ao Curso Integração e Cibersegurança entre os Sistemas de Informação. Neste curso, você aprenderá como os atores de um ecossistema de soluções e produtos digitais conseguem se conectar entre si, estabelecer um fluxo de informações que gere valor ao entregar ao cliente serviços de múltiplos fornecedores integrados. Como em qualquer transação que envolva valor na integração e comunicação entre sistemas, é necessário identificar a presença de criminosos tentando transgredir as regras de funcionamento do ecossistema. Por isso, a atenção à segurança cibernética deve também fazer parte dos projetos de integração e comunicação entre sistemas. Ao final deste curso, você será capaz de compreender como os sistemas de informação de uma mesma organização, ou de diferentes organizações, conectam-se e trocam informações e dados entre si, quais os riscos de segurança da informação envolvidos nestas integrações e como garantir a segurança dos dados e dos sistemas integrados. Este curso é composto por quatro módulos, disponibilizados em semanas de aprendizagem. Cada módulo é composto por vídeos, leituras e testes de verificação de aprendizagem. Ao final de cada módulo, temos uma avaliação de verificação dos conhecimentos. Estamos muito felizes com sua presença neste curso e esperamos que você tire o máximo de proveito dos conceitos aqui apresentados. Bons estudos!
University of Colorado Boulder
Data Mining Pipeline
This course introduces the key steps involved in the data mining pipeline, including data understanding, data preprocessing, data warehousing, data modeling, interpretation and evaluation, and real-world applications. This course can be taken for academic credit as part of CU Boulder’s MS in Data Science or MS in Computer Science degrees offered on the Coursera platform. These fully accredited graduate degrees offer targeted courses, short 8-week sessions, and pay-as-you-go tuition. Admission is based on performance in three preliminary courses, not academic history. CU degrees on Coursera are ideal for recent graduates or working professionals. Learn more: MS in Data Science: https://www.coursera.org/degrees/master-of-science-data-science-boulder MS in Computer Science: https://coursera.org/degrees/ms-computer-science-boulder Course logo image courtesy of Francesco Ungaro, available here on Unsplash: https://unsplash.com/photos/C89G61oKDDA
LearnKartS
Program Management: Governance & Lifecycle Domains
Welcome to the PgMP® Performance Domains - Governance and Lifecycle course! This course delves into the critical aspects of program management as outlined by the Project Management Institute (PMI®), focusing specifically on Governance and Lifecycle. This course requires a solid understanding of program management and concept-relate program lifecycle. By the end of this course, you will be able to: - Define the roles, structures, and responsibilities within program governance. - Describe the stages/phases of a program lifecycle and their associated activities. - Explore the purpose and function of a Program Management Office (PMO). - Develop strategies for effective program definition, formulation, and preparation. - Identify the importance of integration management and infrastructure in program success. - Explore advanced techniques and tools for program delivery management. - Define the process of program closeout and its significance. - Discuss best practices for documenting lessons learned and transitioning program deliverables. The course curriculum is designed to be engaging and comprehensive, featuring a variety of resources such as videos, quizzes, and assessments. These elements ensure an enriched learning experience, facilitating a thorough comprehension of program management principles within the governance and lifecycle domains. Disclaimer: PgMP is a registered mark of the Project Management Institute, Inc., and this course is not endorsed or affiliated with PMI.
Universitat Politècnica de València
Bases Matemáticas: Números y terminología
Este curso proporciona una preparación matemática fundamental para los primeros niveles de estudios en ingeniería y otros grados que incluyen asignaturas de matemáticas. A lo largo de su desarrollo, revisaremos de forma estructurada los conceptos esenciales de la teoría de conjuntos, comprendiendo su importancia como lenguaje formal de las matemáticas y herramienta de clasificación y análisis. Además, abordaremos la terminología básica utilizada en el razonamiento matemático y exploraremos las propiedades clave de los números reales y complejos, entendiendo cómo se construyen, cómo se relacionan entre sí y cuál es su utilidad dentro de los modelos matemáticos. Esta formación básica permitirá al estudiante adquirir la base conceptual necesaria para afrontar con solvencia cursos posteriores donde se aplican estos principios.
Google Cloud
Gemini Enterprise で知識の共有を加速させる
Google が持つ検索と AI の専門知識を Gemini Enterprise と融合させましょう。Gemini Enterprise は、従業員が単一の検索バーでドキュメント ストレージ、メール、チャット、チケット発行システム、その他のデータソースから特定の情報を検索できるよう設計された強力なツールです。また、Gemini Enterprise アシスタントは、ブレインストーミング、調査、ドキュメントの概要作成、カレンダーの予定への同僚の招待といったアクションの実行を支援し、あらゆる種類の知識労働や共同作業を加速させます。（Gemini Enterprise は以前 Google Agentspace という名前でした。このコースでは以前のプロダクト名が使用されている場合があります。）
Microsoft
Optimizing Your Workflow with GitHub Copilot and VS Code
This course explores the potential of GitHub Copilot in project management, focusing on AI-driven code review, comprehensive documentation, and meticulous development planning. You will learn to optimize code, identify inefficiencies, generate test cases, and apply best practices for code review using GitHub Copilot. The course also covers generating and managing documentation with Copilot, including version control and best practices. Additionally, it focuses on planning development strategies, ideating with AI, and implementing plans effectively. Hands-on activities, practice quizzes, and module quizzes ensure practical understanding and mastery of each topic. Required Course Materials: A Copilot license is required to complete this course. If you don’t have a Microsoft 365 Personal or Family license, you can start a free 30-day trial using the link provided in the course.
Politecnico di Milano
Data science perspectives on pandemic management
The COVID-19 pandemic is one of the first world-wide scenarios where data made a difference in capturing and analyzing the diffusion and impact of the disease. We offer an introductory course for decision makers, policy makers, public bodies, NGOs, and private organizations about methods, tools, and experiences on the use of data for managing current and future pandemic scenarios. This course describes modern methods for data-driven policy making in the context of pandemics. Discussed methods include policy making, innovation, and technology governance; data collection from citizens, crowdsourcing, gamification, and game with a purpose (GWAP); crowd monitoring and sensing; mobility and traffic analysis; disinformation and fake news impacts; and economical and financial impacts and sustainability models. Methods, tools, and analyses are presented to demonstrate how data can help in designing better solutions to pandemics and world-wide critical events. In this course you will discover the role of policy making and technology governance for managing pandemics. You will learn about methods like crowdsourcing, gamification, sensing of crowds and built environments, and contact tracing for understanding the dynamics of the pandemic. You will understand the risk of disinformation and its impact on people perception and decisions. The course also covers the financial models that describe the pandemic monetary impact on individuals and organizations, as well as the financial sustainability models that can be defined. Thanks to this course you will get a deeper understanding of motivations, perceptions, choices, and actions of individuals in a pandemic setting, and you will be able to start defining appropriate mitigation actions. This course was developed by a set of European research and education institutions as part of the research project 'Pan-European Response to the Impacts of the COVID-19 and future Pandemics and Epidemics' (PERISCOPE, https://www.periscopeproject.eu/). Funded by the European Commission Research Funding programme Horizon 2020 under the Grant Agreement number 101016233, PERISCOPE investigates the broad socio-economic and behavioural impacts of the COVID-19 pandemic, to make Europe more resilient and prepared for future large-scale risks.
Vanderbilt University
From Data to Decisions: Getting Started with AI
This course is intended for individuals who'd like to work with data from their organization but don't know where to start. We'll combine generative AI and your insights to structure research questions, understand the variables in your dataset, and begin describing the data for the purpose of generating insights into better decisions. After taking this course, learners will know how to identify the outcomes and predictors in a dataset and how to summarize different types of variables in a dataset using generative AI.
Macquarie University
Cyber Security: DevSecOps
This course focuses on DevSecOps, integrating security into the software lifecycle. Building and deploying software at scale requires security from the start. Built by the Cyber Skills Academy at Macquarie University, this course provides expertise to embed security into every software development phase. Co-designed with industry, it offers actionable knowledge for developers, engineers, and security professionals. You will learn: • Secure software architecture principles for resilient systems. • Security-aware coding practices, including API, access control, and web vulnerability management. • Application-layer security using static analysis and dependency checks. • CI/CD pipeline hardening with tools like Infrastructure as Code, SLSA, and SBOMs. • Cloud-native security for Azure deployments using containers and Kubernetes. • MLSecOps, addressing machine learning model security within DevSecOps workflows. • Attack surface awareness to anticipate and defend against threats. The course explores real-world tools and frameworks, teaching how to shift security left and build security into every commit, build, and deploy. This course provides skills for secure software delivery, from development to deployment. To succeed, learners should have a basic understanding of software development concepts and familiarity with command-line interfaces.
Real Madrid Graduate School Universidad Europea
¿Cómo hemos llegado hasta aquí?El desarrollo de la analítica
Este curso explora cómo el fútbol pasó de tomar decisiones basadas en la intuición a convertirse en un deporte impulsado por los datos. Los alumnos descubrirán los orígenes de la analítica deportiva a través de la revolución “Moneyball” en el béisbol, el auge de los modelos de calidad de tiro en el baloncesto y el hockey, y los pioneros que aplicaron por primera vez el pensamiento científico al fútbol. Desde los apuntes manuales de Charles Reep hasta el modelo cibernético de Lobanovskyi, el curso traza cómo las ideas de la estadística, la ingeniería y la informática transformaron gradualmente el juego. Con el avance tecnológico, el análisis de vídeo, los datos de eventos y los sistemas de tracking revolucionaron la evaluación del rendimiento, la captación de talento y el diseño táctico. Estudios de caso muestran cómo los clubes modernos utilizan datos para explotar ineficiencias del mercado y obtener ventajas competitivas. Al finalizar el curso, los alumnos comprenderán los hitos, las personas y las tecnologías que impulsaron la revolución analítica del fútbol y prepararon el camino para los modelos avanzados actuales.
University of Colorado System
Relational Database Support for Data Warehouses
Relational Database Support for Data Warehouses is the third course in the Data Warehousing for Business Intelligence specialization. In this course, you'll use analytical elements of SQL for answering business intelligence questions. You'll learn features of relational database management systems for managing summary data commonly used in business intelligence reporting. Because of the importance and difficulty of managing implementations of data warehouses, we'll also delve into storage architectures, scalable parallel processing, data governance, and big data impacts. In the assignments in this course, you can use either Oracle or PostgreSQL.