The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
The Hong Kong University of Science and Technology
Learning HTML, CSS and JavaScript through Game Development
This course provides a foundational understanding of web development, focusing on essential browser-side techniques. Topics include creating web pages using HTML, enhancing them with CSS for styling, and incorporating visually appealing interactive content. Students will learn to write JavaScript code to add interactivity to web pages and manipulate the Document Object Model (DOM) for dynamic content updates. The course also emphasizes modular JavaScript coding, allowing students to tackle programming projects of increasing complexity. Additionally, the curriculum introduces scalable vector graphics (SVG) and the HTML canvas—two powerful tools for creating rich visual elements and animations on web pages. Throughout the course, students will engage in practical programming exercises, including the development of exciting game projects that reinforce their learning. By the end of the course, students will be well-equipped to develop their own web applications using the technologies and skills they have acquired.
Duke University
Gold Market Foundations
The value of all the gold in the world is $25 trillion – yet very few investors have gold in their portfolios. Ironically, gold is the oldest financial asset, but it is poorly understood and under-researched. There are many stories about gold, but very little evidence. This course provides the evidence. After completing the course, you will understand how gold performs during equity market turmoil and during inflation surges and its role in a diversified portfolio. The course explores the reasons why the gold price has recently surged by focusing on the financialization of gold, central bank accumulation, de-dollarization efforts, questions about the status of the U.S. dollar as a reserve currency, and the potential demand shock if gold is classified in a future version of Basel III as an asset commercial banks can hold for regulatory purposes (central banks hold gold as a reserve asset and it seems contradictory not to allow commercial banks to do the same). The Golden Dilemma framework is also introduced to credible future price paths for gold. Finally, the long-term prospects for gold are detailed, given expected technological innovations.
Vanderbilt University
The Future of Education with AI: Exploring Perspectives
The future of education is being shaped by AI, and this course provides a front-row seat to the conversations happening at the ASU+GSV AI Show—one of the leading global events on innovation in learning. In this course, you’ll hear directly from thought leaders, educators, and industry experts who are driving AI’s impact on education. Through exclusive interviews and discussions, we explore key questions: How is AI transforming access to learning? What skills do students need for the future? How can educators adapt to this rapid shift? This course will guide you through insights from some of the most voices in this space. Featured speakers include Kip Glazer, Ardis Kadiu, David Miyashiro, Mushina H. Morris, Merissa Sadler-Holder, Eddie Watson, and Jules White. They bring diverse perspectives from K-12, higher education, and ed-tech innovation, offering a comprehensive look at the evolving role of AI in teaching and learning. This course is your opportunity to engage with these critical conversations and stay ahead in the AI-driven educational landscape.
Logical Operations
Microsoft Office Excel 2021-2024: Part 1
Organizations the world over rely on information to make sound decisions regarding all manner of affairs. But with the amount of available data growing on a daily basis, the ability to make sense of all of that data is becoming more and more challenging. Fortunately, this is where the power of Microsoft® Office Excel® can help. Excel can help you organize, calculate, analyze, revise, update, and present your data in ways that will help the decision makers in your organization steer you in the right direction. It will also make these tasks much easier for you to accomplish, and in much less time, than if you used traditional penand- paper methods or non-specialized software. This course aims to provide you with a foundation for Excel knowledge and skills, which you can build upon to eventually become an expert in data manipulation. This material will benefit users of any current Office version. The course setup is based on Office 2021. This course covers Microsoft Office Specialist Program exam objectives to help you prepare for the Excel Associate (Office 365 and Office 2021): Exam MO-200 and Excel Expert (Office 365 and Office 2021): Exam MO-201 certifications. This course is intended for students who wish to gain the foundational understanding of Microsoft Office Excel that is necessary to create and work with electronic spreadsheets. Upon successful completion of this course, you will be able to create and develop Excel worksheets and workbooks in order to work with and analyze the data that is critical to the success of your organization. You will: • Get started with Microsoft Office Excel 2021. • Perform calculations. • Modify a worksheet. • Format a worksheet. • Print workbooks. • Manage workbooks. This course requires that you have Microsoft Excel 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.
University of Florida
Sustainable Agricultural Land Management
This course will cover the agricultural and urban water quality issues in Florida, their bases, land and nutrient management strategies, and the science and policy behind the best management practices (BMPs). Students will learn to evaluate BMP research and analyze its role in determining practices and policies that protect water quality.
Peking University
算法设计与分析 Design and Analysis of Algorithms
课程教学目标 针对实际问题需求，进行数学建模并选择高效求解算法的训练，为提高学生的素质和创新能力打下必要的基础。主要内容涉及：面对实际问题建立数学模型、设计正确的求解算法、算法的效率估计、改进算法的途径、问题计算复杂度的估计、难解问题的确定和应对策略等等。本课程是算法课程的基础部分，主要涉及算法的设计、分析与改进途径，其他有关计算复杂性的内容将在后续课程中加以介绍。 课程内容安排 本课程的内容分成两大部分：算法的基础知识、通用算法设计技术与分析方法。 第一部分是算法基础知识，约占20%，主要介绍算法相关的基本概念和数学基础。比如，什么是算法的伪码描述？什么是算法最坏情况下和平均情况下的时间复杂度？算法时间复杂度函数的主要性质，算法复杂度估计中常用的数学方法，如序列求和及递推方程求解。 第二部分是通用的算法设计技术与分析方法，主要介绍分治策略、动态规划、贪心法、回溯与分支限界。主要介绍这些设计技术的使用条件、分析方法、改进途径，并给出一些重要的应用。
University of Colorado Boulder
Implementation of PhET Activities for STEM Education
PhET Interactive Simulations ( https://phet.colorado.edu/ ), a project of the University of Colorado Boulder, provides fun, free, interactive, research-based science and mathematics simulations for use across, primary, secondary, and higher education levels. We extensively test and evaluate each simulation to ensure educational effectiveness. All simulations are open source and free to all students and teachers. In this course, you will learn how to effectively design and implement a Teacher Guide that makes use of PhET’s simulations for mathematics and science. To finish this course, you need to complete two assignments with Peer Review: 1) Design a Teacher Guide that integrates an inquiry-based activity with simulations, and 2) Implement your lesson in your class, and reflect on the results. This course is the fourth and final of four courses that make up the specialization “Active Learning in STEM with PhET Interactive Simulations”. This course is also available in Spanish as “Implementación de Actividades PhET para la Educación STEM” and in Portuguese as "Implementação de Atividades PhET para Educação STEM".
University of Rochester
Introduction to Self-Determination Theory: An approach to motivation, development and wellness
Self-determination theory (SDT) is an empirically based theory of motivation and psychological development that is especially focused on the basic psychological needs that promote high quality motivation and wellness, and how they are supported in social contexts. SDT details how the styles and strategies of motivators such as parents, teachers, coaches, managers, and health-care professionals can promote or undermine engagement and the positive consequences that follow from it. In this course, Professor Richard Ryan, co-founder of the theory, will provide an overview of SDT with special emphasis on how autonomy, competence, and relatedness supports and facilitates behavioral persistence, quality of relationships, and healthy developmental processes, among other topics. He will also discuss the convergence of behavioral phenomenological and neuropsychological aspects of autonomy within SDT research. In addition, he will illustrate practical applications of SDT, with emphasis on educational, work, sport, healthcare and psychotherapy settings.
HubSpot Academy
Managing for Frictionless Sales
This course introduces you to the Frictionless Sales Framework and how it can enable your sales team to be more effective and efficient. You’ll learn how to measure your team’s effectiveness with a Rep Efficiency Audit. You will discover how to create a sales process that aligns with your targeted buyer’s journey as well as your business goals. You’ll also learn how to create an effective sales training program, hiring strategy and onboarding process to help you staff your team with the best sales professionals and train them to be successful. By the end of this course you will be able to: • Define a sales process that minimizes friction in sales and is based on the target buyer’s journey • Create an effective sales training and coaching program • Create a sales hiring strategy that enables you to find the right people for your team • Implement a successful sales onboarding process to align your new hires with your business goals Regardless of your current experience, this course will instruct you on how to create an effective sales process and how to hire, coach, and manage an effective sales team. This course is intended for anyone interested in jumpstarting their career in sales - whether you’re changing careers and looking for an entry-level role, or want to hone your skills in your current role as a sales representative. It does not require any background knowledge or experience to get started. Throughout the course, you will complete exercises that ask you to apply the skills you have learned in a practical way, such as completing a Rep Efficiency Audit, mapping your sales process, and implementing a coaching process using the GROW model.
Google
The Power of Statistics
This is the third course in the Google Advanced Data Analytics Certificate. In this course, you’ll discover how data professionals use statistics to analyze data and gain important insights. You'll explore key concepts such as descriptive and inferential statistics, probability, sampling, confidence intervals, and hypothesis testing. You'll also learn how to use Python for statistical analysis and practice communicating your findings like a data professional. Google employees who currently work in the field will guide you through this course by providing hands-on activities that simulate relevant tasks, sharing examples from their day-to-day work, and helping you enhance your data analytics skills to prepare for your career. Learners who complete the eight courses in this program will have the skills needed to apply for data science and advanced data analytics jobs. This certificate assumes prior knowledge of foundational analytical principles, skills, and tools covered in the Google Data Analytics Certificate. By the end of this course, you will: -Describe the use of statistics in data science -Use descriptive statistics to summarize and explore data -Calculate probability using basic rules -Model data with probability distributions -Describe the applications of different sampling methods -Calculate sampling distributions -Construct and interpret confidence intervals -Conduct hypothesis tests
Packt
CLCOR (350-801) v1.2 Video Training Series
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 training series is designed to take you through the extensive landscape of Cisco Collaboration, starting with the fundamentals. You’ll begin by understanding traditional telephony networks and their evolution into modern IP-based communication systems. From there, you’ll explore key technologies like Cisco Unified Communications Manager (CUCM), Unity Connection, and Cisco Webex, gaining a solid foundation in both the architecture and application of these tools within enterprise environments. As the course progresses, you’ll delve into critical elements of collaboration design, including software licensing, bandwidth management, and disaster recovery planning. You’ll also learn about advanced configurations of CUCM, focusing on call control, dial plans, and security options to ensure robust and secure communication setups. Each topic is presented with practical, real-world scenarios to help you understand how these technologies are implemented in professional settings. The final sections of the course guide you through the specifics of quality of service (QoS) and endpoint configurations, as well as the integration of collaboration protocols and services. By the end of this training, you will be equipped with the expertise to manage and optimize Cisco Collaboration solutions, making you well-prepared for the CLCOR (350-801) certification exam and real-world deployment challenges. This course is ideal for network engineers, collaboration engineers, and IT professionals who have a basic understanding of networking concepts. Prior experience with Cisco networking devices and protocols is recommended. This course is also beneficial for those preparing for the CLCOR (350-801) certification exam.
EDUCBA
Apply Sqoop for Efficient Hadoop Data Integration
By the end of this course, learners will be able to explain the role of Apache Sqoop, apply Sqoop commands to transfer data between relational databases and Hadoop, and configure Sqoop options to control performance, filtering, and data storage. Learners will also be able to verify Sqoop installation and execute optimized imports using table structure and column-level controls. This course is designed for beginners who want a clear, practical introduction to Sqoop without unnecessary complexity. Through step-by-step explanations, visual architecture breakdowns, and command-focused lessons, learners gain a solid understanding of how Sqoop fits into real-world big data pipelines. The course emphasizes not just how to run Sqoop commands, but why specific options are used and when to apply them for better performance and data management. What makes this course unique is its concept-to-command progression—starting with foundational understanding and gradually moving to operational execution and setup. Each lesson is aligned with practical outcomes, ensuring learners can confidently import structured data into Hadoop environments. Upon completion, learners will be equipped with job-ready Sqoop skills applicable to data engineering, ETL workflows, and Hadoop-based analytics projects.
Coursera
Introduction To Java Database Connectivity - JDBC
In this 1.5 hours long project-based course, you will (learn JDBC core components , Create java apps with back-end database). JDBC plays a major role in today's software development industries hence we will learn core components of JDBC and will connect java apps into a back-end database (MySQL) to store and retrieve our information permanently. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
Fractal Analytics
Model Context Protocol (MCP) Mastery
In this short, intensive course, you’ll dive into the Model Context Protocol (MCP)—an open standard revolutionizing AI connectivity. Just as HTTP and REST reshaped the web, MCP is redefining how AI models communicate, enabling seamless, secure, and scalable integration with external systems. You’ll explore MCP’s modular architecture—hosts, clients, and servers—and see how this design supports real-time, context-rich interactions for smarter AI responses. The course also addresses critical security challenges, including context injection, privilege escalation, and tool poisoning. You’ll gain actionable strategies like policy-bound execution, cryptographic integrity checks, zero trust enforcement, and risk-adaptive controls to mitigate these risks. By the end, you’ll be equipped to explain MCP’s evolution, describe its architecture, and evaluate security implications—empowering you to build robust, future-ready AI solutions.
Coursera
GenAI for Medical Coders: Simplifying Documentation
Medical coders know the weight of precision. One mistake in documentation can lead to a domino effect of claim rejections, compliance issues, and wasted hours. But imagine this: You walk into work, your documentation is cleaner, your errors are fewer, and your confidence is higher—all because you know how to use Generative AI to your advantage. This beginner-friendly course brings GenAI to life for coders like you. Taught by a global learning and development expert with over 17 years in healthcare and financial services, the course demonstrates how GenAI can automate routine tasks, reduce documentation errors, and help you stay current with evolving compliance standards. You'll explore real-life case studies and see GenAI tools—such as the NCBO BioPortal Annotator, YesChat Medical Coder, and Codify by AAPC—in action. These platforms are purpose-built for medical coding and show how AI can streamline and enhance the documentation process. Whether you're just starting out in coding or you're a seasoned professional looking for smarter solutions, this course offers practical insights you can apply immediately. This course is designed for medical coders at all levels, from beginners to experienced professionals seeking smarter, more efficient ways to handle documentation. It also serves health information management professionals, clinical documentation improvement (CDI) specialists, coding supervisors, and quality auditors who want to stay ahead of the curve. If you're involved in coding, compliance, or documentation workflows, this course equips you with the tools to leverage Generative AI effectively in your role. To get the most out of this course, learners should have a basic understanding of healthcare documentation or a strong interest in the fundamentals of medical coding. No advanced technical skills are required. An internet-connected device is needed to explore and interact with GenAI tools demonstrated during the course. By the end of this course, learners will be able to describe the role and impact of Generative AI in medical coding workflows, explore and evaluate key tools such as YesChat Medical Coder and NCBO BioPortal Annotator, and apply AI to automate repetitive tasks while reducing documentation errors. Learners will also interpret real-world case studies to implement AI strategies that enhance compliance and efficiency in healthcare settings.
Coursera
Machine Learning in Retail
Who are your customers? What are they like? How do they interact with your business? This Short Course was created to help analysts better understand their customer behaviour through the power of machine learning. In this course, you will apply two different machine learning techniques to segment customers according to their purchasing behaviour and provide actionable insights for each group. Along the way, you'll also examine some other retail case studies, including web visitor analysis for marketing and store clustering for logistics. By the end, you'll be able to use customer purchase data to group customers using machine learning, analyse your results to extract business insights and apply multiple types of machine learning to generate business value. This course is unique because it focuses strongly on interpreting your data within a retail context and supports you in identifying opportunities for machine learning in your workplace. To be successful in this project, you should already be familiar with Python Pandas for data manipulation, filtering and aggregation. You should also have some experience with basic principles of data analysis, like histograms and summary statistics.