The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
Google Cloud
AI Infrastructure: Cloud TPU
Cloud TPU コースへようこそ。このコースでは、さまざまなシナリオにおける TPU の長所と短所を検討し、各種 TPU アクセラレータを比較して最適なものを選択できるようにします。また、AI モデルのパフォーマンスと効率を最大化する戦略を学び、柔軟な ML ワークフローにおける GPU / TPU の相互運用性の重要性について理解を深めます。魅力的なコンテンツと実践的なデモを通じて、TPU を効果的に活用するための方法を段階的に確認していきます。
Packt
Advanced World-Building, Effects, and Final Scene Polishing
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. Take your Unreal Engine 5 skills to new heights with this advanced course focused on world-building, special effects, and scene polishing. You will dive into a range of techniques from populating your environment with assets, to creating realistic water systems, foliage, and advanced particle effects. As you progress, you’ll learn how to refine every aspect of your scene, from terrain sculpting to adding dynamic lighting and post-processing effects. This course is designed to help you transform your world-building projects into immersive, polished environments. Throughout the course, you'll learn how to apply UE5’s powerful features to refine your designs, create smooth day-night cycles, and incorporate realistic details like cloth simulations, torches, and fire particles. You’ll master material blending with Quixel and improve your workflows with efficient asset collection techniques. The hands-on approach ensures that you not only learn these concepts but can apply them directly to your castle or other world-building projects. This course is perfect for intermediate to advanced learners who want to perfect their scene creation and environment polishing skills. Whether you’re a game developer, 3D artist, or anyone interested in creating dynamic virtual worlds, this course will provide you with the tools and knowledge to take your projects to the next level. A basic understanding of Unreal Engine 5 is recommended for success in this course. By the end of the course, you will be able to build and polish detailed environments, integrate effects and particle systems, sculpt complex terrains, and finalize your world-building projects with advanced post-processing and lighting techniques, creating a fully immersive experience in Unreal Engine 5.
Packt
Game Time 2024 – Build a JavaScript Game with Random Order
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. This course teaches you how to build a JavaScript-based card game with random card ordering mechanics. By the end of the course, you will be able to create a fully functional game, applying key skills like HTML structure, CSS Grid for layout, JavaScript asynchronous programming with async/await, the Fetch API for data retrieval, and the Fisher-Yates shuffle algorithm for randomization. You'll also gain expertise in DOM manipulation, CSS animations, and adding interactive features such as dynamic card flipping and game logic with counters. The course is divided into six sections. In the first section, you'll learn to write the HTML, style with CSS, and implement CSS Grid for a responsive layout. You'll also explore CSS root variables and best practices for naming conventions. The second section focuses on populating your game board with cards, using JSON to store card data, and integrating JavaScript for dynamic card referencing. You'll also master advanced techniques for efficient DOM updates. In section three, you’ll implement card flip effects and randomize the card order using the Fisher-Yates shuffle. Section four delves into logic for matching cards, counters, and restricting clicks. The fifth section introduces visual effects like falling stars and a losing image overlay. By the end, you’ll have a polished game ready for testing. This is an intermediate-level course. Developers with basic HTML, CSS, and JavaScript knowledge who want to skill up will find it helpful.
Coursera
GenAI for Data Scientists
"GenAI for Data Scientist" is designed for professionals eager to integrate Generative AI (GenAI) into their data science practices. This introductory course breaks down the complex world of GenAI, demonstrating its significant impact on data analysis, predictive modeling, and beyond. You will learn the technical workings of GenAI tools and their practical applications in real-world data science scenarios. This course is designed for team leads and managers looking to incorporate GenAI into their strategic initiatives, as well as individual data scientists and analysts eager to enhance their daily tasks with advanced GenAI techniques. It is also suitable for professionals aiming to advance their careers by mastering cutting-edge GenAI applications in data science. Learners should have a basic understanding of data analytics, statistical methods, and machine learning, along with familiarity with programming languages like Python or R. An open mindset and eagerness to explore new technologies are also essential. The curriculum covers the fundamentals of machine learning models, data augmentation, and ethical considerations, providing insights into how GenAI can enhance analytical precision and foster innovation.
SkillUp
Fundamentals of Data Science in Healthcare
Build the data science foundation healthcare demands! Learn how to transform raw clinical data into reliable, analysis-ready datasets across real healthcare systems. This course equips you with the foundational data science skills needed to work effectively with real-world healthcare data. You will learn how healthcare data is generated, structured, standardized, and prepared for analytics across clinical, operational, and administrative settings. You’ll explore major healthcare data sources such as electronic health records, claims, labs, and registries. The course covers typical challenges such as missing data, inconsistent formats, fragmented systems, and complex timelines. It introduces essential healthcare standards, including ICD-10, SNOMED CT, HL7, and FHIR, and explains how interoperability enables reliable data integration and analysis. Through hands-on labs, you’ll clean raw clinical datasets, assess data quality, engineer analytical features, and apply HIPAA-aligned de-identification techniques. You’ll also work with multi-source healthcare data to prepare model-ready datasets suitable for downstream analytics and machine learning.
Coursera
UI Design using Material Design 3: Designing a Reminder App
This project is designed specifically for UI designers at the intermediate level who are looking to enhance their skills. During this one-hour guided project, you will learn to access and utilize Material Design 3 resources, navigate through the Material 3 Figma UI kit, select appropriate elements, and integrate them seamlessly into your designs. By the end of the project, you will be able to build a simple mobile application prototype adhering to Material Design 3 principles. By mastering Material Design 3 in Figma, you'll enhance your competitiveness in UI/UX design roles. Prerequisites for Success: 1. Fundamental Understanding: Solid grasp of UI design principles including layout, grids, iconography, and typography. 2. Figma Basics: Familiarity with components and basic styles in Figma. 3. Auto Layout Confidence: Comfortable with Figma's auto layout feature. By the project's conclusion, you'll have acquired invaluable experience in leveraging the Material Design 3 UI kit within Figma. This newfound expertise will empower you to design compelling, user-centric designs and prototype interactive experiences with ease, propelling your career forward in the dynamic field of UI/UX design.
Saïd Business School, University of Oxford
Foundations of Sustainability and ESG
This course introduces you to the fundamental concepts of sustainability and Environmental, Social, and Governance (ESG) frameworks. Through a structured exploration of sustainability's three core dimensions - environmental, social, and economic - you'll learn how these pillars interconnect and why they're crucial for modern business and society. We'll examine major global sustainability challenges and explore how organisations can address these through effective stakeholder engagement and strategic integration of sustainability principles. Moving from sustainability fundamentals to ESG, you'll discover how this framework has evolved to become a critical tool for evaluating corporate performance and driving business strategy. You'll learn to distinguish between environmental factors like climate impact and resource use, social factors including labour practices and community relations, and governance aspects such as board diversity and business ethics. You'll understand how ESG metrics are measured and reported, how ESG ratings work, and why they matter for business success. Whether you're a business professional, investor, or someone interested in sustainable business practices, this course provides essential knowledge and practical insights into how sustainability and ESG are reshaping business strategy and investment decisions in today's world. This course is intended for individuals working in finance, accounting and those with sustainability, management or leadership roles who contribute to annual reports. By the end of this course you will be able to: - Define sustainability and its three core dimensions (environmental, social, and economic). - Identify the major global sustainability challenges and their implications for organisations and society. - Explain the role of organisations and other stakeholders in achieving sustainability goals. - Evaluate the benefits and challenges of integrating sustainability into business strategy and operations. - Define ESG and its three core components (Environmental, Social, and Governance). - Explain the relationship between ESG and sustainability, and their importance for businesses. - Identify the key ESG issues and metrics within each component. - Assess the growth and evolution of ESG investing and its implications for businesses.
Packt
Future-Proofing Your Career in a Digital-First World
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 course, you'll explore strategies and tools to ensure your career thrives in an ever-evolving digital landscape. You'll gain insights into leveraging artificial intelligence, adopting a lifelong learning mindset, and mastering digital communication. Through engaging videos and real-world applications, this course helps you future-proof your career by equipping you with the skills to adapt and innovate. The course takes you on a journey from understanding the importance of career sustainability in the face of technological shifts to developing expertise that will give you a competitive edge. You'll explore the intersection of AI and career growth, learn how to optimize your professional presence in a digital world, and understand the role of personal development in a rapidly changing professional environment. Each module focuses on different facets of career building, from building relationships to achieving financial freedom and cultivating innovation. This course is designed for professionals eager to stay relevant in an AI-driven future. Whether you're looking to optimize your current job or transition into a new role, you'll find the tools and strategies necessary for success. No prior technical knowledge is required, though a basic understanding of digital platforms will be beneficial. The course is suitable for both beginner and intermediate learners. By the end of the course, you will be able to harness AI to drive career growth, refine your digital communication strategies, build professional relationships, and foster innovation to maintain long-term career success.
Johns Hopkins University
What are the Chances? Probability and Uncertainty in Statistics
This course focuses on how analysts can measure and describe the confidence they have in their findings. The course begins with an overview of the key probability rules and concepts that govern the calculation of uncertainty measures. We’ll then apply these ideas to variables (which are the building blocks of statistics) and their associated probability distributions. The second half of the course will delve into the computation and interpretation of uncertainty. We’ll discuss how to conduct a hypothesis test using both test statistics and confidence intervals. Finally, we’ll consider the role of hypothesis testing in a regression context, including what we can and cannot learn from the statistical significance of a coefficient. By the end of the course, you should be able to discuss statistical findings in probabilistic terms and interpret the uncertainty of a particular estimate.
Rice University
Introduction to Data Analysis Using Excel
The use of Excel is widespread in the industry. It is a very powerful data analysis tool and almost all big and small businesses use Excel in their day to day functioning. This is an introductory course in the use of Excel and is designed to give you a working knowledge of Excel with the aim of getting to use it for more advance topics in Business Statistics later. The course is designed keeping in mind two kinds of learners - those who have very little functional knowledge of Excel and those who use Excel regularly but at a peripheral level and wish to enhance their skills. The course takes you from basic operations such as reading data into excel using various data formats, organizing and manipulating data, to some of the more advanced functionality of Excel. All along, Excel functionality is introduced using easy to understand examples which are demonstrated in a way that learners can become comfortable in understanding and applying them. To successfully complete course assignments, students must have access to a Windows version of Microsoft Excel 2010 or later. ________________________________________ WEEK 1 Module 1: Introduction to Spreadsheets In this module, you will be introduced to the use of Excel spreadsheets and various basic data functions of Excel. Topics covered include: • Reading data into Excel using various formats • Basic functions in Excel, arithmetic as well as various logical functions • Formatting rows and columns • Using formulas in Excel and their copy and paste using absolute and relative referencing ________________________________________ WEEK 2 Module 2: Spreadsheet Functions to Organize Data This module introduces various Excel functions to organize and query data. Learners are introduced to the IF, nested IF, VLOOKUP and the HLOOKUP functions of Excel. Topics covered include: • IF and the nested IF functions • VLOOKUP and HLOOKUP • The RANDBETWEEN function ________________________________________ WEEK 3 Module 3: Introduction to Filtering, Pivot Tables, and Charts This module introduces various data filtering capabilities of Excel. You’ll learn how to set filters in data to selectively access data. A very powerful data summarizing tool, the Pivot Table, is also explained and we begin to introduce the charting feature of Excel. Topics covered include: • VLOOKUP across worksheets • Data filtering in Excel • Use of Pivot tables with categorical as well as numerical data • Introduction to the charting capability of Excel ________________________________________ WEEK 4 Module 4: Advanced Graphing and Charting This module explores various advanced graphing and charting techniques available in Excel. Starting with various line, bar and pie charts we introduce pivot charts, scatter plots and histograms. You will get to understand these various charts and get to build them on your own. Topics covered include • Line, Bar and Pie charts • Pivot charts • Scatter plots • Histograms
Universidad Nacional de Colombia
Patentes: un recorrido desde su significado hasta su búsqueda
Las patentes son títulos legales que otorgan protección a una invención y son concedidas por una oficina nacional. Contienen información esencial sobre diversos tipos de invenciones, incluyendo datos técnicos, científicos y hasta comerciales relacionados con dispositivos e innovaciones. El valor de esta fuente de información radica en su contribución a los procesos de investigación, desarrollo e innovación. Por esta razón, las patentes son una herramienta valiosa en la realización de ejercicios de vigilancia e inteligencia competitiva, tanto en el ámbito académico como empresarial. Estos documentos son una fuente de consulta esencial para investigadores, inventores, académicos, empresarios y diversos profesionales, ya que a través de la información contenida en ellos, se pueden descubrir tecnologías previamente desarrolladas o que pueden servir como punto de partida para nuevos avances, lo cual es esencial para el progreso de la sociedad actual. Este curso está diseñado para ser completado en seis semanas y tiene como objetivo que los participantes amplíen sus conocimientos sobre la propiedad intelectual en general y los diferentes tipos de protección que abarca. Además, se profundizará en el tema de las patentes, explicando sus características, los métodos de clasificación y cómo buscarlas en bases de datos nacionales e internacionales. También se abordarán los requisitos para obtener una patente. Además, se busca que los estudiantes reconozcan la importancia de la información contenida en los documentos de patentes en diferentes etapas del proceso de investigación y desarrollo, como la búsqueda de antecedentes, la comprensión del estado de la técnica o la exploración de una tecnología en particular. Todo esto contribuirá a la competitividad e innovación en los sectores científicos, tecnológicos y productivos de un país. Este curso está abierto a personas de todos los niveles académicos que deseen adquirir conocimientos sobre patentes.
Coursera
Improving Classroom Management with Class Dojo
By the end of this project, you will have set up your own classroom and be fully confident in how to use Class Dojo. Teachers have a lot of demands on their time as they are pulled in many different directions. What if we had a tool that could help build a positive classroom community while also simplifying our records AND connecting with parents? Class Dojo is exactly that tool. During this project, you will use Class Dojo to connect with students and parents to create a positive classroom culture, give students a voice, and share meaningful moments with parents. Class Dojo allows teachers to provide students with feedback in real time, track attendance and student behavior, connect with parents, and much more. *You will need a free Class Dojo account for this project.
EDUCBA
Build and Implement an Asset Management System in VB.NET
Learners will be able to design, develop, and implement a complete Asset Management System using VB.NET by applying database design principles, form development, validation logic, and reporting techniques. By the end of the course, learners will confidently manage asset records, attributes, services, and maintenance data through a structured and scalable desktop application. This course provides hands-on, project-based learning that walks learners through the full lifecycle of building an Asset Management System—from understanding system requirements and designing normalized database tables to implementing CRUD operations, business logic, and event-driven programming. Learners gain practical experience in developing real-world modules such as asset management, attribute handling, service tracking, and report generation using VB.NET. What makes this course unique is its end-to-end project approach, allowing learners to work on a single integrated system rather than isolated examples. The course emphasizes real-world application structure, data integrity, and maintainable coding practices aligned with industry-relevant scenarios. By completing this course, learners strengthen their VB.NET development skills while building a portfolio-ready desktop application that demonstrates practical problem-solving and system design expertise.
Commonwealth Education Trust
Foundations of Teaching for Learning: Being a Professional
The Foundations of Teaching for Learning programme is for anyone who is teaching, or who would like to teach, in any subject and any context - be it at school, at home or in the workplace. With dynamic lessons taught by established and respected professionals from across the Commonwealth, this eight course programme will see you develop and strengthen your skills in teaching, professionalism, assessment, and more. As you carry on through the programme, you will find yourself strengthening not only your skills, but your connection with colleagues across the globe. A professional development opportunity not to be missed. This course will emphasise what you can do to act professionally. This includes developing your own philosophy of teaching and making sure that you continue to improve your knowledge and skills. It also considers what it means to be part of a community of professionals, working with others to improve what happens in your school, community and profession. Enhance your course by joining the Commonwealth teaching community on our website, Facebook and Twitter.
Coursera
Video Content Creation in Canva
The Video Content Creation in Canva course teaches learners how to design, edit, and produce compelling video content optimized for digital marketing. Starting with the fundamentals, learners explore Canva’s video editing interface, learning how to import clips, apply basic transitions, and integrate text overlays into simple product showcase videos. They then advance to enhanced video techniques, applying animations, filters, music, and sound effects to create engaging, audience-ready projects. The course also emphasizes narrative flow, guiding learners in structuring promotional videos with branded intros, outros, and clear calls-to-action. Practical activities cover platform-specific formatting and exporting to ensure optimized performance across social channels, websites, and campaigns. By the end, participants produce a professional promotional video package that demonstrates effective storytelling, technical execution, and brand consistency.
University of Geneva
Global Health at the Human-Animal-Ecosystem Interface
The University of Geneva, Institute Pasteur, University of Montreal and Centre Virchow-Villermé/University Paris Descartes welcome you to this MOOC on "Global Health at the Human-Animal-Ecosystem Interface"! Over the next 8 weeks, you will explore and learn about some of the major and current Global Health Challenges at the Human-Animal-Ecosystem Interface: zoonotic emerging infections (e.g. Ebola, Nipah, MERS, Avian Influenza), antimicrobial resistance, neglected tropical diseases (e.g. rabies, leishmaniasis, zoonotic TB), snakebite and other human-animal conflicts etc. You will learn new concepts from the field of epidemiology, social anthropology, disease ecology, veterinary sciences, global health policy etc. and approaches such as One Health, Eco-Health and Planetary Health. Also, you will learn about innovative tools and frameworks used to study and tackle some of these Global Health challenges of the Sustainable Development Goals era. This MOOC proposes you a dynamic, international and interdisciplinary programme based on the One Health approach (human-animal-environmental dimensions) and involving more than 30 top experts from more than 20 academic and research institutions and international organisations based in Geneva, Paris, Montreal and the world. Policy makers from the World Health Organisation, clinicians from the University Hospitals of Geneva, epidemiologists from Institut Pasteur etc. will share with you their knowledge and experiences all along this MOOC. Video-lectures have been filmed in different parts of the world and settings (from the field to the lab and office) and will be combined with the latest open readings and interactive activities in the discussion forum, video-conferences etc. This MOOC keeps evolving and enriching actively over time and two new sections on "Health Benefits at the Human-Animal-Ecosystem Interface" and "Management of Ecosystems under Global Changes: Implication for Human Health" have been added in May 2018. This latter section was developed in close collaboration with experts from World Health Organisation and the Convention on Biological Diversity and is introduced by Dr. Tedros Adhanom Ghebreyesus, WHO Director-General. The development of this MOOC was led by Dr. Rafael Ruiz de Castañeda, Dr. Isabelle Bolon and Prof. Antoine Flahault from the Institute of Global Health of the University of Geneva. The list of instructors is completed by Prof. Arnaud Fontanet (Institut Pasteur) and Prof. André Ravel (Faculty of Veterinary Medicine, University of Montreal). Watch our teaser here and let’s get started! https://youtu.be/WT7-cC21uLU?list=PLnZ (with subtitles in French and in Chinese)