The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
University of London
Quantitative Foundations for International Business
This course provides the essential mathematics required to succeed in the finance and economics related modules of the Global MBA, including equations, functions, derivatives, and matrices. You can test your understanding with quizzes and worksheets, while more advanced content will be available if you want to push yourself. This course forms part of a specialisation from the University of London designed to help you develop and build the essential business, academic, and cultural skills necessary to succeed in international business, or in further study. If completed successfully, your certificate from this specialisation can also be used as part of the application process for the University of London Global MBA programme, particularly for early career applicants. If you would like more information about the Global MBA, please visit https://mba.london.ac.uk/. This course is endorsed by CMI
DeepLearning.AI
Sequences, Time Series and Prediction
If you are a software developer who wants to build scalable AI-powered algorithms, you need to understand how to use the tools to build them. This Specialization will teach you best practices for using TensorFlow, a popular open-source framework for machine learning. In this fourth course, you will learn how to build time series models in TensorFlow. You’ll first implement best practices to prepare time series data. You’ll also explore how RNNs and 1D ConvNets can be used for prediction. Finally, you’ll apply everything you’ve learned throughout the Specialization to build a sunspot prediction model using real-world data! The Machine Learning course and Deep Learning Specialization from Andrew Ng teach the most important and foundational principles of Machine Learning and Deep Learning. This new DeepLearning.AI TensorFlow Developer Specialization teaches you how to use TensorFlow to implement those principles so that you can start building and applying scalable models to real-world problems. To develop a deeper understanding of how neural networks work, we recommend that you take the Deep Learning Specialization.
Logical Operations
SQL Querying: Fundamentals
Organizations typically store their most critical information—the information used to manage day-to-day operations—within a database. The ability to retrieve and analyze this information is essential to the functioning of the organization. Structured Query Language (SQL) is the primary language used to accomplish such tasks. Essentially, SQL is the language you use to interact with a database. The ability to write SQL is an essential job skill for those who need to manage large volumes of data, produce reports, mine data, or combine data from multiple sources. Even if someone else on your team creates reports for you, having a fundamental understanding of SQL querying will help you ask the right questions and know what you're looking for in your data analysis tools. This course, SQL Querying: Fundamentals, will teach you to use SQL as a tool to retrieve the information you need from databases. This course is intended for individuals with basic computer skills, familiar with concepts related to database structure and terminology, who want to use SQL to query databases. In this course, you will: connect to the SQL Server database and execute a simple query, include a search condition in a simple query, use various functions to perform calculations on data, organize the data obtained from a query before it is displayed onscreen, retrieve data from multiple tables, and export the results of a query. This course requires that you have Microsoft SQL Server Express and Microsoft SQL Server Management Studio (SSMS) installed on a Windows PC. The course setup instructions provided in the first module of the course go into more detail about the hardware and software requirements.
Johns Hopkins University
Computing for Cancer Informatics
One of the key cancer informatics challenges is dealing with and managing the explosion of large data from multiple sources that are often too large to work with on typical personal computers. This course is designed to help researchers and investigators to understand the basics of computing and to familiarize them with various computing options to ultimately help guide their decisions on the topic. This course aims to provide research leaders with awareness and guidance about: Basic computing terminology Concepts about how computers and computing systems work Differences between shared computing resources Appropriate etiquette for shared computing resources Computing resources designed for cancer research Considerations for computing resource decisions Target audience: This course is intended for researchers (including postdocs and students) with limited to intermediate experience with informatics research. The conceptual material will also be useful for those in management roles who are collecting data and using informatics pipelines. Curriculum: We will provide you with familiarity with fundamental computing terms. We will also discuss relevant concepts about how computers and shared computing resources work. We will explore the differences between various computing resource options, as well as provide guidance on how to make important computing discussions. This course is part of a series of courses for the Informatics Technology for Cancer Research (ITCR) called the Informatics Technology for Cancer Research Education Resource. This material was created by the ITCR Training Network (ITN) which is a collaborative effort of researchers around the United States to support cancer informatics and data science training through resources, technology, and events. This initiative is funded by the following grant: National Cancer Institute (NCI) UE5 CA254170. Our courses feature tools developed by ITCR Investigators and make it easier for principal investigators, scientists, and analysts to integrate cancer informatics into their workflows. Please see our website at www.itcrtraining.org for more information.
Vanderbilt University
OpenAI GPTs: Creating Your Own Custom AI Assistants
In the era of Generative AI, the demand for personalized and specialized Generative AI assistants is skyrocketing. Large language models like GPTs have demonstrated their remarkable capabilities, but what if you could harness their power to create custom AI assistants tailored to your specific needs? Welcome to the world of custom GPTs, where you can build intelligent systems that understand your domain, speak your language, and solve your unique challenges. This cutting-edge course will guide you through the exciting journey of creating and deploying custom GPTs that cater to diverse industries and applications. Imagine having a virtual assistant that can tackle complex legal document analysis, streamline supply chain logistics, or even assist in scientific research and hypothesis generation. The possibilities are endless! Throughout the course, you'll delve into the intricacies of building GPTs that can use your documents to answer questions, patterns to create amazing human and AI interaction, and methods for customizing the tone of your GPTs. You'll learn how to design and implement rigorous testing scenarios to ensure your AI assistant's accuracy, reliability, and human-like communication abilities. Prepare to be amazed as you explore real-world examples built around a GPT for Travel and Business Expense Management. The examples show how a GPT can help users book flights, hotels, and transportation while adhering to company policies and budgets. Additionally, the GPT can help streamline expense reporting and reimbursement processes, ensuring compliance and accuracy. Whether you're a business leader, entrepreneur, developer, or educator, this course will equip you with the skills to harness the transformative potential of custom GPTs. Unlock new realms of productivity, innovation, and personalized experiences by building AI assistants that truly understand and cater to your unique needs. Enroll now and join the forefront of AI revolution, where you'll learn to create intelligent systems that not only comprehend but also anticipate and exceed your expectations.
Duke University
Python Generators
In this 1-hour hands-on project, you will learn how to build and utilize generator functions for efficient lazy sequence generation in Python. Specifically, you will understand how to: * Define generator functions using yield statements to lazily produce values * Create infinite data streams with recurrent generators * Apply generators for data processing pipelines and transformations * Use generator expressions for inline lazy object creation
Tufts University
Hypothesis Testing with Python and Excel
In today's job market, leaders need to understand the fundamentals of data to be competitive. An essential procedure to understand business and analytics is hypothesis testing. This short course, designed by Tufts University expert faculty, will teach the fundamentals of hypothesis testing of a population mean and a population proportion, using Excel and Python for calculations. You'll also discover the central limit theorem, which is essential for hypothesis testing. To conclude the course, you will apply your newfound skills by creating a plan for an experiment in your own workplace that uses hypothesis testing.
LearnKartS
ChatGPT for Business & Marketing Content
Transform the way you write, market, and communicate with ChatGPT for Business & Marketing Content — a powerful course designed to help professionals and entrepreneurs master AI-driven business writing and marketing strategy. Learn how to use ChatGPT to brainstorm ideas, craft high-impact articles, create engaging social media posts, and design persuasive marketing copy that connects and converts. You’ll uncover how to integrate ChatGPT seamlessly into your workflow to boost productivity, creativity, and consistency. Through real-world case studies, you’ll learn how to write catchy headlines, promotional emails, video scripts, and content for various platforms with your unique brand voice. The course will also cover advanced prompt engineering, tone coaching, ethical writing, AI practices, and tools for automating marketing communication. Perfect for marketers, content creators, business professionals, and small business owners, this course helps you build AI confidence and creative agility. Step into the future of digital marketing — enroll today and start producing compelling, professional content faster, smarter, and with greater impact using ChatGPT.
Google Cloud
Introduction to Image Generation - 简体中文
本课程向您介绍扩散模型。这类机器学习模型最近在图像生成领域展现出了巨大潜力。扩散模型的灵感来源于物理学，特别是热力学。过去几年内，扩散模型成为热门研究主题并在整个行业开始流行。Google Cloud 上许多先进的图像生成模型和工具都是以扩散模型为基础构建的。本课程向您介绍扩散模型背后的理论，以及如何在 Vertex AI 上训练和部署此类模型。
Coursera
Getting Started with Adobe Spark
**Enroll in this Guided Project before April 2026, for a free 1-month trial to the Creative Cloud Pro Plan!** 'Getting Started with Adobe Spark' guided project is for anyone who wants to learn how to create visual content online using Adobe Spark design app. By the end of this project, you will learn the editing features of Adobe Spark and will be able to use the Adobe Spark design app to create content for social media, web, and print. In this project, you will work on a digital flyer for a virtual conference, practice using editing tools, and add animation to the social media content.
Illinois Tech
Model Diagnostics and Remedial Measures
This course is best suited for individuals who have a technical background in mathematics/statistics/computer science/engineering pursuing a career change to jobs or industries that are data-driven such as finance, retain, tech, healthcare, government and many more. The opportunity is endless. This course is part of the Performance Based Admission courses for the Data Science program. In this course, we will learn what happens to our regression model when these assumptions have not been met. How can we detect these discrepancies in model assumptions and how do we remediate the problems will be addressed in this course. Upon successful completion of this course, you will be able to: -describe the assumptions of the linear regression models. -use diagnostic plots to detect violations of the assumptions of a linear regression model. -perform a transformation of variables in building regression models. -use suitable tools to detect and remove heteroscedastic errors. -use suitable tools to remediate autocorrelation. -use suitable tools to remediate collinear data. -perform variable selections and model validations.
Packt
Coding Stripe Subscriptions with NodeJS
This course provides a guide to integrating Stripe subscriptions with Node.js, teaching you how to build and manage subscription-based services. You’ll start by setting up your local environment, followed by configuring Stripe subscription products. As you move through the course, you'll gain hands-on experience with creating checkout sessions, handling webhooks, and managing subscription statuses. Each concept builds on the previous one, allowing you to apply what you've learned to a real-world project. The journey begins with setting up the Stripe subscription products in the Stripe dashboard and integrating them into your Node.js application. From there, you'll dive into more advanced topics such as debugging techniques, trial subscriptions, and offering multiple pricing tiers for subscriptions. The course also emphasizes managing subscriptions effectively by handling various events through webhooks and using the Stripe portal. Ideal for developers looking to implement a subscription service using Stripe and Node.js, this course provides the knowledge necessary to create scalable, secure subscription models. It's suitable for those familiar with Node.js basics and eager to advance their skills with real-world payment integration. By the end of the course, you will be able to integrate Stripe's subscription services into a Node.js application, manage subscription states, debug issues efficiently, and offer various pricing models to users.
Copenhagen Business School
The Neuromarketing Toolbox
Doing marketing research by asking people has been a common method and does still have advantages. On the other hand, if you want insights into the non-conscious interpretations of a consumer’s decision, then you need other research tools in your research toolbox. Neuromarketing makes use of such an extended toolbox, containing both technical equipment and ways of doing experimental research. The goal for this course is to give you an overview of this fast developing toolbox ranging from simple web-camera, to eye-tracking, and to complicated brain-scanners. The course guides you through a contemporary literature review, giving you insights into the last decades of development within this field of research.
Coursera
Wireframes in Miro: Exploring New Ideas
Why are wireframes important? Where do they fit in the UX design process? Which app should I use to create wireframes? Wireframes in Miro: Exploring New Ideas is for learners who are ready to build a solid foundation in UX design by adding wireframing to their toolkit. With Miro's powerful features, you can create app and website wireframes in minutes. In this 1-hour Guided Project, you will create a set of low-fidelity wireframes for a health and wellness app. This will be done in the context of the UX design process to give you a fuller perspective of when and where to use wireframes. As part of this, you will use the tools within Miro to create a basic design direction diagram and a high-level sitemap to inform the design of your wireframes. To appropriately prepare you for this Guided Project, all that is required is an interest and motivation in UX design.
Packt
Create Minecraft-Inspired Voxel Worlds - Unity 6 Compatible
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 hands-on course, you will learn to create immersive voxel worlds inspired by Minecraft, using Unity 6. Start by understanding the fundamental concepts of voxel-based environments, from voxels and 3D arrays to chunk-building techniques and rendering optimization. You will be introduced to essential tools like Perlin Noise and fractal algorithms, which are used to sculpt realistic terrains. By learning to create complex worlds with dynamic features like fluid mechanics, trees, and caves, you’ll develop an intuitive understanding of procedural generation and real-time game development. You will also gain experience in managing large worlds, optimizing performance, and enabling player interactions. Throughout the course, practical challenges and projects help cement your skills and push you to refine your understanding. This course will guide you through the creation of a world that feels expansive and immersive, with seamless world generation and player-driven exploration. You will learn how to build blocks, create natural landscapes, and introduce interactive elements like mining and construction. The course also covers advanced features such as saving and loading game data, dynamic block types, and the addition of environmental effects such as water and biomes. By following along with the structured modules, you will progressively build the skills necessary to design and develop a Minecraft-like voxel game environment in Unity 6. The course is designed for aspiring game developers and Unity enthusiasts who want to dive deeper into voxel world creation. No prior experience with Unity is required, although familiarity with basic game development concepts will be helpful. Expect to work hands-on with Unity and apply game development techniques to real-world projects. This is an intermediate-level course designed to take your skills to the next level. By the end of the course, you will be able to create complex voxel worlds in Unity, implement procedural terrain generation, optimize performance, and build interactive gameplay mechanics. You’ll have a solid grasp of Unity 6 and voxel-based game development techniques, equipping you to build your own 3D environments and games.
National Taiwan University
Pioneers of Medicine and Medical Breakthroughs in Taiwan
Through ages, doctors and scientists have worked hard to fight against different diseases, but it is not easy to find the effective way to deal with them. However, it is a lot faster and easier to approach new problems nowadays with the help of past experience and modern technology. In this course, we are going to show you some common diseases and its current management. At the same time, we will also show you how modern medicine has developed and what breakthroughs are specially made in Taiwan.