The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
Google Cloud
Cost Optimization and Data Tiering with BigLake and Cloud Storage
This is a self-paced lab that takes place in the Google Cloud console. Learn to how to potentially reduce your costs by archiving data, unused tables, and partitions from BigQuery into Google Cloud Storage
Emory University
Public Health Approaches to Abortion
Despite major gains in sexual and reproductive health and gender equity worldwide, abortion remains a topic rife with misinformation, disinformation and influenced by non-evidence-based policies. This introductory public health course provides accessible and foundational knowledge on the topic of abortion in the context of a changing reproductive health landscape. Highlighting expertise from Emory University researchers and community partners, this course provides an introduction to abortion from public health, medical, policy, social, and human rights perspectives for general audiences. Students will benefit from diverse learning opportunities through lectures, case studies, and self-reflection activities. Students will be introduced to several frames for thinking about abortion including those of reproductive justice, reproductive rights, reproductive health, life course, and health equity. By the end of the course, students will be able to examine their belief systems related to abortion and to identify and critique common misunderstandings related to abortion. Furthermore, students will explore the connection between social inequities and abortion to contextualize the future of abortion access in the rapidly changing present-day landscape.
University of Amsterdam
Qualitative Research Methods
In this course you will be introduced to the basic ideas behind the qualitative research in social science. You will learn about data collection, description, analysis and interpretation in qualitative research. Qualitative research often involves an iterative process. We will focus on the ingredients required for this process: data collection and analysis. You won't learn how to use qualitative methods by just watching video's, so we put much stress on collecting data through observation and interviewing and on analysing and interpreting the collected data in other assignments. Obviously, the most important concepts in qualitative research will be discussed, just as we will discuss quality criteria, good practices, ethics, writing some methods of analysis, and mixing methods. We hope to take away some prejudice, and enthuse many students for qualitative research.
EDUCBA
Master Mutual Fund Investing & Analysis
By completing this course, learners will be able to explain mutual fund concepts, analyze different types of mutual fund schemes, evaluate risk and return drivers, interpret regulatory documents, apply investment analysis techniques, and make informed, goal-based mutual fund investment decisions. This course provides a comprehensive, structured journey into Mutual Funds—from beginner concepts to advanced analysis and practical application. Learners gain a strong foundation in how mutual funds work, including their structure, documentation, NAV calculation, distribution models, and transaction processes. As the course progresses, learners develop analytical skills by exploring equity and debt evaluation, fundamental and technical analysis, risk drivers, and performance measurement techniques. What makes this course unique is its end-to-end, application-oriented approach. Instead of focusing only on theory, the course integrates real-world perspectives such as risk profiling, scheme selection, portfolio evaluation, inflation impact, and the role of financial advisors. The modular design ensures clarity, progressive learning, and retention, making it suitable for students, professionals, and aspiring investors. Upon completion, learners will be equipped to confidently evaluate mutual funds, align investments with financial goals, and make informed decisions in real-world investment scenarios.
University of Colorado Boulder
Probability Foundations for Data Science and AI
Understand the foundations of probability and its relationship to statistics and data science. We’ll learn what it means to calculate a probability, independent and dependent outcomes, and conditional events. We’ll study discrete and continuous random variables and see how this fits with data collection. We’ll end the course with Gaussian (normal) random variables and the Central Limit Theorem and understand its fundamental importance for all of statistics and data science. This course can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) and the Master of Science in Artificial Intelligence (MS-AI) degrees offered on the Coursera platform. These interdisciplinary degrees bring together faculty from CU Boulder’s departments of Applied Mathematics, Computer Science, Information Science, and others. With performance-based admissions and no application process, the CU degrees on Coursera are ideal for individuals with a broad range of undergraduate education and/or professional experience in computer science, information science, mathematics, and statistics. Learn more about the MS-DS program at https://www.coursera.org/degrees/master-of-science-data-science-boulder. Learn more about the MS-AI program at https://www.coursera.org/degrees/ms-artificial-intelligence-boulder Logo adapted from photo by Christopher Burns on Unsplash.
Harvard Business Review
Manage Challenges with Resilience
Build the skills needed to thrive under pressure. This course provides practical strategies to manage workplace conflicts, coach others, and handle stress effectively. You’ll learn to navigate difficult interactions through thoughtful communication, respond to stress with resilience, and foster a healthy, productive environment for yourself and your team.
SkillUp
Mobile App Notifications, Databases, & Publishing
In today's mobile-first world, over 90% of people access the internet via mobile devices (Statista) creating a high demand for professionals with strong mobile app development skills. In this course, part of the IBM iOS and Android Mobile App Developer Professional Certificate, you'll gain essential skills for adding notifications, storing data and publishing mobile apps for Android and iOS. During the course, you'll explore key components of iOS and Android development, including the app lifecycle, design elements, interfaces, and notifications. Plus, you'll work with popular tools such as SQLite, Firebase, and Firestore to manage app data, and learn how to create, sign, and prepare your apps for publishing in both the Google Play Store and Apple App Store. Through hands-on labs, you'll enhance user engagement by integrating notifications into your Flutter and React Native apps, deploying APIs to back-end cloud services, and using Firebase to manage data and enhance app functionality. You'll also explore app marketing best practices and how to track performance with a custom dashboard. If you're looking to build your mobile app development career, ENROLL today and power up your resume with highly sought after skills in less than a month!
Universidad Nacional Autónoma de México
Astronomía básica
Este curso proporciona una introducción a la astronomía, brindando a los participantes los conocimientos fundamentales sobre el universo y su evolución. Al finalizar, comprenderán la importancia histórica de la astronomía, cómo funcionan los telescopios y las escalas de tamaño y distancia de diversos objetos celestes. Además, tendrán una visión integral sobre la estructura y evolución de estos objetos astronómicos, lo que les permitirá apreciar en profundidad su lugar en el cosmos.
Tecnológico de Monterrey
¿Qué hacer con tu estrategia digital en tiempos de cambio?
Este curso está dirigido a emprendedores y empresarios de pequeñas y medianas empresas, así como ejecutivos en áreas comerciales que busquen conocer los fundamentos y estrategias básicas de la estrategia digital. El curso hace énfasis en el uso de herramientas de comunicación en medios digitales en el contexto de situaciones que presentan desafíos específicos como el lanzamiento de un negocio o marca, o la superación de una crisis.
HubSpot Academy
Sales Training: Inbound Business Strategy
Welcome to the Inbound Certification course! This course will introduce you to inbound and provide you with a big picture view of everything you need for a successful inbound strategy. So, why inbound? Inbound is a fundamental shift in the way you do business. Instead of an interruption-based message where the marketer or salesperson had all the control, inbound is about empowering potential customers. Consumer’s buying behaviors have changed and will continue to change. That's the driving force behind inbound. What your customers want today is different than what they wanted 10 years ago. That means you need to change the way you market, sell, and service to match the way people actually want to shop and buy. So, wondering what to expect in this course? After an initial lesson on an introduction to the inbound fundamentals, the course consists of a set of lessons that follows the inbound methodology. The inbound methodology illustrates the four stages that make an inbound business. It reflects the entire inbound marketing, sales, services, and relationship process. The stages are Attract, Convert, Close, and Delight. Each lesson includes different tactics that you can apply to help you and your business grow better. You’ll also hear from HubSpot executives and leadership including: HubSpot’s Co-founders Brian Halligan & Dharmesh Shah. Chief People Officer, Katie Burke. VP of HubSpot Academy, Mark Kilens. VP of Marketing, Meghan Anderson. SVP of Product, Christopher O’Donnell. VP of Sales, Michelle Benfer. And VP of Customer Success, Alison Elworthy
EDUCBA
Introduction to AutoSAR
This course covers every aspect of automotive software development, including the principles of AutoSAR, more complex AutoSAR ideas, non-AutoSAR use cases, and in-depth ECU abstraction development. You will examine the foundational software of AutoSAR, comprehend the subtleties of runnable, and develop knowledge of interfaces, connectors, and composition. Additionally, you will learn about real-time environments (RTE), such as sender-receiver, client-server, and communication RTE, and gain practical experience in planning events inside the RTE framework. The course also covers non-AutoSAR applications and goes beyond AutoSAR, concentrating on the Microcontroller Abstraction Layer (MCAL), ARXML configuration, and efficient project setup. By the end of the course, you will have a variety of abilities in automotive software development and be well-equipped to handle challenging automotive software projects, whether inside or outside the AutoSAR framework. This course is helpful for: 1) Engineers who work in creating automotive software, vehicle electronics, and systems engineering and wish to learn more about AUTOSAR and its use should take this course. 2) Software developers who want to embrace AUTOSAR-compliant development practices are responsible for developing software applications and components for automotive systems. 3) Engineers working on embedded systems in automobiles who want to include AUTOSAR principles into their work. 4) Systems Architects: Experts in the design and architecture of automotive systems interested in implementing AUTOSAR-compliant plans. To be successful in this course, you should have a background in programming skills, software engineering, embedded systems, and the fundamentals of automotive technology.
Google Cloud
Infraestructura de IA: GPU de Cloud
¿Sientes curiosidad por el potente hardware detrás de la IA? Este módulo analiza las computadoras de IA optimizadas para el rendimiento y muestra por qué son tan importantes. Exploraremos cómo las CPU, GPU y TPU hacen que las tareas de IA sean súper rápidas, qué hace que cada una sea única y cómo el software de IA las aprovecha al máximo. Al finalizar, sabrás exactamente cómo elegir la GPU adecuada para tus proyectos de IA, lo que te ayudará a tomar decisiones inteligentes para tus cargas de trabajo de IA.
SAS
Getting Started with SAS Programming
This course is for users who want to learn how to write SAS programs to access, explore, prepare, and analyze data. It is the entry point to learning SAS programming for data science, machine learning, and artificial intelligence. It is a prerequisite to many other SAS courses. By the end of this course, you will know how to use SAS Studio to write and submit SAS programs that access SAS, Microsoft Excel, and text data. You will know how to explore and validate data, prepare data by subsetting rows and computing new columns, analyze and report on data, export data and results to other formats, use SQL in SAS to query and join tables. Prerequisites: Learners should have experience using computer software. Specifically, you should be able to understand file structures and system commands on your operating systems and access data files on your operating systems. No prior SAS experience is needed.
IBM
Build AI Agents using MCP
Get hands-on designing secure, intelligent AI agent workflows using the Model Context Protocol (MCP) in this labs-driven course. You’ll see how AI systems connect to external tools, services, and data sources. You’ll learn how those connections can be designed to stay safe and predictable using structured permissions, user prompts, and validation workflows. And in hands-on labs, you’ll build agents that reason, retrieve information, and carry out tasks while maintaining security and control. You’ll also work with permission enforcement models, JSON-schema-based elicitation, auditing concepts, and real-world security scenarios. You’ll explore how MCP works and why secure design decisions matter in practice. Plus, you’ll break down user requests, shape safe execution flows, and reduce the risk of unintended actions. Finally, you’ll plan and test a complete MCP-driven agent workflow, showing how usability, capability, and security come together in a real implementation. This course is designed for professionals in development, architecture, automation, or AI-powered applications who want hands-on, practical experience building responsible AI workflows.
Coursera
Security Essentials for Modern Developers
Secure Software Delivery: From Code to Deployment is an intermediate-level course designed to help developers and technical leads build and ship secure applications confidently—without slowing down innovation. As software systems scale, so do the risks—and success now depends on embedding security into every phase of the development lifecycle. In this course, you’ll move beyond one-off vulnerability patching and learn how to systematically integrate secure coding practices, threat modeling, and automated security testing into your workflows. Through engaging videos, real-world case studies, interactive labs, and scenario-based coaching, you’ll gain hands-on experience with tools like SAST, DAST, and GitHub Actions. Whether you're fixing critical flaws, shifting security left in CI/CD, or leading team-wide secure coding habits, this course will help you operationalize security as a continuous, collaborative practice—and deliver software that’s not just functional, but resilient.
Packt
Cloud Deployment
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. Dive into the dynamic world of Cloud Deployment with this in-depth course designed to transform your understanding of cloud infrastructure and its deployment. Gain the expertise to identify cloud subscription services, provision resources, and configure advanced networking and compute solutions. From foundational principles to hands-on demonstrations, this course equips you with the skills to deploy robust cloud systems effectively. The course begins with an introduction to storage provisioning and its essential components, such as storage types, tiers, and protocols. Through real-world demonstrations, you’ll learn how to deploy storage resources, virtual machines, and containers using industry-best practices. Comprehensive discussions on RAID configurations, storage features, and disaster recovery scenarios ensure that you are prepared for any cloud deployment challenges. The next section focuses on networking services and virtualization, covering virtual routing, SR-IOV, and the deployment of critical services like DNS, DHCP, and IPAM. Hands-on demos will reinforce your understanding of dynamic routing, compute sizing, and software-defined storage solutions. The course concludes with an exploration of cloud migration strategies, giving you the tools to plan and execute seamless migrations. This course is tailored for IT professionals, cloud engineers, and administrators aiming to enhance their cloud deployment capabilities. With its intermediate-level difficulty, it’s suitable for those with prior knowledge of IT and networking concepts. Whether you're scaling your organization’s cloud infrastructure or embarking on your journey into cloud technologies, this course is your pathway to success.