The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
University of Minnesota
Business Model & Product Pitch
This course, "Business Model & Product Pitch," equips you with the knowledge to develop and pitch a compelling business model. You will learn about various business models, pricing frameworks, cost analysis, and growth planning. Additionally, you will create a minimum viable product (MVP), explore financing pathways, and prepare an investor pitch to attract potential investors.
Duke University
Climate Science for Everyone
Climate change impacts everyone — from record-breaking heat waves, to physical and mental health impacts, to food shortages. Understanding the science behind climate change provides you with the foundational knowledge necessary for taking action in your community and enhancing your career. No matter your age, job, goals, or interests, this course will enable you to meaningfully engage with one of the defining challenges facing humanity today. What is the evidence for climate change? What key concepts describe the physical science of climate change? And are there ways to predict how the climate could change in the future? This short course provides everyone an entry-level overview of climate change science, with no science background needed! By the end of the course, you should be able to explain the causes of climate change and its impacts. Along the way, you’ll be given opportunities to consider how to apply this knowledge in your own life or career. Learning about climate science is the first step in your journey to becoming a more engaged global citizen as you help determine our planet’s future.
Skillshare
Advanced Videography: Cinematic Travel Vlogging
By the end of this course, taught by Phil Ebiner, you’ll be able to capture stunning travel vlogs that combine storytelling with cinematic visuals. You’ll learn how to: * film engaging B-roll, * shoot with drones and action cameras, * build sequences that immerse your audience in the journey. You’ll also explore advanced techniques like timelapses, hyperlapses, and aerial shots to make your videos stand out. This course is perfect for YouTubers, vloggers, and travel enthusiasts who already understand camera basics but want to create professional-level vlogs. Through the travel vlog project, you’ll break down gear setups, practice shooting B-roll in dynamic environments, and discover how to use drones and action cameras to capture perspectives impossible with standard setups. Whether you’re looking to grow your channel, document your travels with cinematic flair, or bring storytelling depth to your personal projects, this course equips you with advanced vlogging skills that will set your work apart from typical travel videos. Instructor bio: Phil Ebiner has been teaching online since 2012, creating courses that help learners share their stories through photography, video, design, and marketing. He combines real-world experience with practical instruction to help students become confident creators. Phil graduated with a Bachelor of Arts in Film and Television Production from Loyola Marymount University, where he produced documentaries in Switzerland, Germany, Mexico, and India. He has worked with Participant Media, Stanbridge College, and UC Berkeley, and continues to collaborate on creative projects to keep his skills fresh. Outside of teaching, Phil enjoys mountain biking, traveling, sports, and spending time with his wife, twin boys, baby daughter, and dog Ashby. His mission is to help you grow as a creator, earn from your skills, and live the life you’ve dreamed of.
Google Cloud
Reliable Cloud Infrastructure: Design and Process 한국어
이 과정에서는 학습자가 검증된 설계 패턴을 사용하여 Google Cloud에서 고도로 안정적이고 효율적인 솔루션을 빌드하는 데 필요한 역량을 기를 수 있습니다. 'Architecting with Google Compute Engine' 또는 'Architecting with Google Kubernetes Engine' 과정에서 이어지는 내용이며, 학습자가 두 과정에서 다루는 기술을 실무에서 사용해 본 경험이 있다는 전제로 진행됩니다. 학습자는 프레젠테이션, 설계 활동, 실무형 실습을 통해 고도로 안정적이고 안전하고 비용 효율적이며 가용성이 높은 Google Cloud 배포를 설계하는 데 필요한 비즈니스 요구사항과 기술 요구사항을 정의하고 이 사이의 적절한 균형을 유지하는 방법을 익힐 수 있습니다.
UBITS
Planeación ágil para el logro de objetivos
Descubre cómo transformar el caos en orden para llevar a tu equipo hacia el cumplimiento de los objetivos. En este curso, aprenderás a elaborar una hoja de ruta estratégica que guíe tus proyectos, a priorizar las tareas según su aporte de valor y a liderar reuniones de planificación de alto impacto que impulsen a tu equipo hacia metas ambiciosas. Dirigido a profesionales en posiciones tácticas, este curso te enseñará a aplicar prácticas ágiles de Scrum y Kanban, para dominar la planeación ágil y llevar a tu equipo al siguiente nivel.
Microsoft
Data Visualization Fundamentals
Data Visualization Fundamentals is designed to introduce you to the powerful world of data visualization using Power BI. This course will guide you through the basics of creating visually appealing and meaningful reports, charts and graphs. You'll learn how to identify the right visualization for different types of data, and how to use Power BI's tools to build reports that tell compelling stories with data. Whether you're new to data visualization or looking to sharpen your skills, this course provides practical knowledge that you can apply immediately. By the end, you'll be equipped with foundational skills to help drive data-informed decisions.
University of Virginia
The Economics of AI
The course introduces you to cutting-edge research in the economics of AI and the implications for economic growth and labor markets. We start by analyzing the nature of intelligence and information theory. Then we connect our analysis to modeling production and technological change in economics, and how these processes are affected by AI. Next we turn to how technological change drives aggregate economic growth, covering a range of scenarios including a potential growth singularity. We also study the impact of AI-driven technological change on labor markets and workers, evaluating to what extent fears about technological unemployment are well-founded. We continue with an analysis of economic policies to deal with advanced AI. Finally, we evaluate the potential for transformative progress in AI to lead to significant disruptions and study the problem of how humans can control highly intelligent AI algorithms.
Google Cloud
Google Meet: Getting Started
This is a Google Cloud Self-Paced Lab. Use Google Meet to hold impromptu video meetings, virtual training classes around the world, remote interviews, and much more. You can complete this lab in 10-15 minutes or use the extra time to explore Google Meet features.
Packt
Data Analytics and Visualization with Tableau and more
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. Unlock the power of data with Data Analytics and Visualization with Tableau & More, a comprehensive course designed to transform you into a data-driven professional. From mastering the fundamentals of Alteryx workflows to advanced data visualizations in Tableau, this course offers hands-on learning to automate data processes, prepare datasets, and create compelling insights. The journey begins with Alteryx, where you'll learn to clean, filter, and analyze data while automating workflows. You will then seamlessly transition into Qlik Sense, mastering data loading, chart creation, and advanced analysis techniques. Next, you'll dive into R programming to gain a deeper understanding of data manipulation, statistical analysis, and project implementation. Finally, Tableau will guide you in creating interactive dashboards, spatial charts, and publishing visual insights for impactful storytelling. This course is perfect for data enthusiasts, business analysts, and professionals seeking actionable skills in modern analytics tools. Prior experience in data handling is helpful but not mandatory. Whether you're a beginner or looking to refine your expertise, this course caters to all levels.
Packt
Migration to AWS
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. Migrating to the cloud is a critical step for modern organizations, and AWS provides a robust platform for this transition. This course guides you through every phase of migration, from planning and assessing readiness to performing and modernizing your workloads in AWS. You will learn key migration strategies such as Rehost, Replatform, Refactor, and Retain, and understand the tools AWS offers, like Migration Evaluator, Database Migration Service, and Application Discovery Service. With a focus on hands-on learning, you’ll explore how to set up AWS Landing Zones, use AWS Systems Manager, and leverage CloudWatch for post-migration monitoring. The course also covers automating large-scale migrations through AWS Migration Hub Orchestrator and Migration Factory. Ideal for IT professionals, cloud architects, and developers, this course requires no prior AWS experience but a basic understanding of cloud computing. By the end of the course, you will be equipped to plan, execute, and manage AWS migrations confidently, ensuring your organization’s smooth transition to the cloud.
Coursera
Map Data Flows Fast
Transform complex data systems into clear, actionable visual maps that drive better engineering decisions and team collaboration. This Short Course was created to help data management and engineering professionals accomplish systematic visualization of data pipelines from source to destination. By completing this course, you'll be able to design comprehensive data flow diagrams that identify all data sources, map transformation processes, and specify final data destinations. You'll master the essential skill of creating visual blueprints that facilitate team collaboration, ensure system clarity, and accelerate pipeline development timelines. By the end of this course, you will be able to: Create end-to-end data flow diagrams that map sources, transformations, and data sinks This course is unique because it focuses on practical diagram creation using industry-standard tools and real-world data engineering scenarios, emphasizing immediate workplace application over theoretical concepts. To be successful in this project, you should have a background in basic data concepts and familiarity with data systems terminology.
Coursera
Guard Your Mind: Ethical AI Habits
Guard your mind when AI tools ask for your most personal data. In this hands-on course, you'll develop three ethical AI habits that protect you in every interaction. First, you'll learn to apply the four guiding principles—privacy, transparency, fairness, and accountability—as practical filters that separate trustworthy AI from risky tools.. Second, you'll master consent protocols that ensure you understand what data you're sharing, why it's needed, and how it's protected—no more reflexive "I agree" clicks. Third, you'll develop systematic evaluation skills using a red-flag checklist that catches bias, harmful advice, and unsupported claims before you act on them. Through realistic Role Plays where you convince skeptics and advise managers, and Coach Dialogues where you navigate real consent decisions, you'll build the habits that let you benefit from AI while protecting what matters most. Perfect for anyone using AI wellness apps, goal trackers, or productivity tools. No technical background required.
Stanford University
Probabilistic Graphical Models 2: Inference
Probabilistic graphical models (PGMs) are a rich framework for encoding probability distributions over complex domains: joint (multivariate) distributions over large numbers of random variables that interact with each other. These representations sit at the intersection of statistics and computer science, relying on concepts from probability theory, graph algorithms, machine learning, and more. They are the basis for the state-of-the-art methods in a wide variety of applications, such as medical diagnosis, image understanding, speech recognition, natural language processing, and many, many more. They are also a foundational tool in formulating many machine learning problems. This course is the second in a sequence of three. Following the first course, which focused on representation, this course addresses the question of probabilistic inference: how a PGM can be used to answer questions. Even though a PGM generally describes a very high dimensional distribution, its structure is designed so as to allow questions to be answered efficiently. The course presents both exact and approximate algorithms for different types of inference tasks, and discusses where each could best be applied. The (highly recommended) honors track contains two hands-on programming assignments, in which key routines of the most commonly used exact and approximate algorithms are implemented and applied to a real-world problem.
Packt
Information Security Risk Management for ISO 27001/ISO 27002
In this course, you will gain essential skills in managing information security risks within the ISO 27001/27002 framework. Focused on risk assessment and control selection, this course will enable you to implement effective risk management strategies to protect sensitive data. You will learn how to assess, mitigate, and manage information security risks using ISO 27001/27002 standards. By the end, you'll have the tools to improve organizational security and ensure compliance with international standards. What sets this course apart is its practical approach, combining theoretical frameworks with real-world scenarios for immediate application in your workplace. This makes it ideal for professionals working in cybersecurity and risk management. This course is designed for IT security professionals, compliance officers, and project managers with a basic understanding of information security. A prior knowledge of ISO 27001 or ISO 27002 is recommended but not required. Copyright © IT Governance Ltd, 2007, 2010, 2019. The authors, Alan Calder and Steve G Watkins, have asserted their rights under the Copyright, Designs and Patents Act, 1988 to be identified as the authors of this work. Every possible effort has been made to ensure that the information contained in this course is accurate at the time of going to press, and the publisher and the author cannot accept responsibility for any errors or omissions, however caused. Any opinions expressed in this book are those of the author, not the publisher. Websites identified are for reference only, not endorsement, and any website visits are at the reader’s own risk. No responsibility for loss or damage occasioned to any person acting, or refraining from action, as a result of the material in this publication can be accepted by the publisher or the author. Apart from any fair dealing for the purposes of research or private study, or criticism or review, as permitted under the Copyright, Designs and Patents Act 1988, this publication may only be reproduced, stored or transmitted, in any form, or by any means, with the prior permission in writing of the publisher or, in the case of reprographic reproduction, in accordance with the terms of licences issued by the Copyright Licensing Agency. Enquiries concerning reproduction outside those terms should be sent to the publisher at the following address: IT Governance Publishing Ltd Unit 3, Clive Court Bartholomew’s Walk Cambridgeshire Business Park Ely, Cambridgeshire CB7 4EA United Kingdom www.itgovernancepublishing.co.uk
Arizona State University
Teach English Now! Capstone Project 2
In the final Capstone Project, you will apply the skills you learned by doing practice teaching. You will build on your assignments from the previous courses to refine your lesson plans and make videos of you teaching your lessons. You will submit a total of ten videos. If you have completed Teach English Now! Part 1 and Teach English Now! Part 2, you will submit your work for expert review to receive your ASU 150-hour TESOL Certificate from ASU, in addition to your Coursera certificates.
University of California, Davis
Creating Basic Web Layouts
In this course, we’ll explore the history of layout on the web and techniques that have been used to create those layouts. You’ll practice using Flexbox CSS and gain an understanding of how Flexbox works to create layouts for web pages. We’ll practice using responsive web design and discuss the challenges of managing layouts across multiple screen sizes. You’ll learn specific techniques to build a responsive web page and practice using mobile first development. Lastly, you’ll apply the techniques learned in this course by using Flexbox properties to create a mini portfolio website and deploy it on GitHub.