The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
Coursera
Retrieve Data with Multiple-Table SQL Queries
In this course you will be introduced to two methods of writing SQL queries that retrieve data from two or more tables. Since one of the functions of a database is to store data in an organized format, many databases are made up of multiple tables. Often, the data output required from the database is made up of data from more than one table. For example, the data that populates a student transcript might come from the Student, Course, and Section tables. While the Student table may provide the student’s name, the name and number of the course might come from the Course table and the specific grade for that course may come from yet another table. While writing SQL queries in SQLiteStudio, you'll learn the SQL syntax required to join tables together as you develop an understanding of how the relationships among tables come into play. 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.
Packt
Hands-on BGP
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. In this comprehensive course, learners will gain in-depth knowledge of Border Gateway Protocol (BGP), the protocol that powers the internet. By the end of this course, you'll have the skills to configure, troubleshoot, and optimize BGP to suit different networking scenarios. From understanding the basics to mastering advanced features, this course takes you on a structured learning journey to make you proficient in BGP operations. The course begins with a solid foundation in BGP basics, covering everything from the protocol's functionality to setting up and verifying BGP in your network. You’ll explore key topics like Autonomous Systems (ASNs), iBGP, and BGP’s internal workings. As you progress, you'll be introduced to more intricate concepts, such as how BGP attributes influence path selection and the tools available to manage routing effectively, including AS Path Prepending and Multi-Exit Discriminator. Moving into intermediate topics, you'll dive into BGP's more complex routing attributes, learning to influence the path selection process with attributes like Weight and Local Preference. You'll also explore BGP’s handling of route summarization and its integration with advanced metrics like AIGP. This section is designed to give you practical experience in optimizing your BGP configurations for real-world networking challenges. The course wraps up with advanced BGP topics, such as Route Reflectors, BGP Communities, and methods to optimize routing through techniques like route aggregation and preventing transit AS. Whether you're configuring MPLS Layer 3 VPNs or solving issues like BGP Backdoor Routes, this course equips you with the tools needed to handle the most complex BGP scenarios.
The Chinese University of Hong Kong
Structuring Values in Modern China
This sequence of four courses will propose a multi-disciplinary approach to the study of Chinese cultural history conceived of as a succession of modes of rationality (philosophical, bureaucratic, and economic). The focus will be on the moments of paradigm shift from one mode of rationality to another. For each of these moments, cultural facts and artifacts—thought, literature, ritual—will be examined in relationship to changing social, political, and economic systems. The first two courses will cover the periods of the Warring States (481-256 BCE) and the Period of Division (220-589 CE), with a brief excursion into the Han (206 BCE-220 CE). The Warring States laid the social and cultural foundations for the emergence of the imperial mode of rationality; the Period of Division saw the Buddhist “conquest” of China and the emergence of a rationality defined by the opposition of the Three Teachings to shamanism, that is, of a clear contrast between elite and popular culture. The third and fourth courses will focus on the emergence of modern China in the Song-Yuan (960-1368) and of today’s China 1850 to the present. We will see how the modern attack on religion, redefined as "superstition", led not only to religious reform movements but also to a society in which science and the nation became the primary value systems promoted by the state. The courses are listed below: A Critical Cultural History of China - Early China I: Intellectual Change in the Warring States and Han (481 BCE-220 CE) A Critical Cultural History of China - Early China II: Religious Transformation in the Period of Division (220-589 CE) A Critical Cultural History of China - Modern China I: Religion and Thought in the Song, Jin, and Yuan (960-1368) A Critical Cultural History of China - Modern China II: Structuring Values (1850-2015)
Harvard Business Review
Navigate Change and Uncertainty
Every leader has to manage change and navigate crises. The key to success is knowing how to guide your team through uncertainty and help them emerge stronger. In this course, you'll develop essential skills to build resilience, lead change initiatives, and navigate crisis situations with confidence. You'll learn research-backed strategies to address resistance, communicate effectively during uncertainty, and support teams through recovery. By developing your ability to adapt quickly and transform challenges into opportunities, you'll help your organization not just survive but thrive in volatile environments. By the end of this course, learners will be able to lead teams successfully through change and crisis by building organizational resilience, executing strategic improvement initiatives, and applying compassionate leadership techniques to navigate uncertainty while maintaining high performance and team cohesion.
LearnQuest
AI 알고리즘 모델과 한계점
알고리즘의 영향력은 점차 커지고 있습니다. 머신 러닝은 방대한 데이터 세트를 기반으로 주요 의사결정을 내리기 시작함에 따라, 인간인 우리는 실제 생활에서의 한계점을 충분히 알고 있어야 합니다. 대출 승인, 교통 경로 재설정을 막론하고, 머신 러닝 모델에는 인간의 공유가치가 정확히 반영되어야 합니다. 본 강좌에서는 가장 기본적인 알고리즘부터 완전 자율 알고리즘에 이르기까지 알고리즘의 발전을 살펴보고, 보다 윤리적으로 건전한 알고리즘을 만드는 방법을 논의합니다.
Coursera
Secure Access Control
Transform your Asana workspace into a fortress of security and compliance excellence! This Short Course was created to help project management professionals accomplish secure collaboration governance in modern work environments. By completing this course, you'll master the critical skills needed to configure bulletproof access controls, audit permissions like a security expert, and maintain compliance standards that protect your organization's most sensitive data. By the end of this course, you will be able to: Configure role-based access (Admin, Member, Guest) across workspaces and external collaborators Audit permission logs, correct deviations, and file comprehensive compliance reports This course is unique because it bridges technical security implementation with practical compliance management, giving you both the hands-on skills and analytical framework needed for real-world governance challenges. To be successful in this project, you should have a background in basic project management principles and Asana workspace navigation.
Meta
Capstone (React App)
This course enables you to demonstrate multiple skills from this program by solving an authentic real-world problem. Each module includes a brief recap of, and links to, content that you have covered in previous courses in this program. The course Capstone project will test your knowledge and understanding in mobile development using React Native. To complete this course, you will need React Native experience. During this course, you will be guided through the process of building an app, combining all the skills and technologies you've learned throughout this program to solve the problem at hand. By the end of this course, you will be able to demonstrate the following skills: - Set up a development environment for working on a React Native project - Set up a remote GitHub repository to which you can commit local project changes - Apply UX and UI principles to guide creation of a wireframe and prototype for your app - Develop screens for a React Native app featuring various components and interactive elements - Design an onboarding process for welcoming new users to your app - Set up a navigation flow to enable users to move between screens in your app - Fetch data from a remote server and store it in a database, and then render it in your app - Implement data filtering functionality to enable users to customize information - Evaluate the work of your peers and provide informed and constructive feedback On completion of the Capstone project, you’ll have a job-ready portfolio that you can show to recruiters, demonstrate during interviews and impress potential employers.
Coursera
GenAI Summarization with Langchain: Summarize Text Documents
In this guided project, you will learn the art of text summarization using the well-known GenAI framework, Langchain, and transform it into a practical, real-world web application with Streamlit. During this hands-on experience, we will encapsulate vast volumes of text into concise and coherent summaries by harnessing the power of GPT models and prompt template resided within the Langchain framework. You will familiarize yourself with Langchain's architecture, it's underlying components and how they can be integrated with a summarizer function. Additionally, you'll learn how to integrate Langchain-powered summarization capabilities into a user-friendly, interactive web app, making your summarization skills accessible to a broader audience. This course is aimed at Python developers who are looking to get started with text summarization using GenAI. Familiarity with Python programming language including skills in creating lists, arrays, and functions is essential. Some experience with LLM interactions and prompt engineering would be useful as would some prior use of Streamlit.
Fundação Instituto de Administração
System Dynamics
This course equips learners with the skills to analyze dynamic relationships within systems, create causal loop diagrams, and simulate the behavior of interconnected variables. Participants gain insights into system behavior, enabling them to make informed decisions and design effective interventions in diverse contexts.
Edureka
Natural Language Processing Essentials
This course introduces the fundamentals of Natural Language Processing (NLP), combining core linguistic concepts with hands-on programming techniques to help you understand how machines process human language. Whether you're new to NLP or looking to build foundational skills, this course provides a clear and practical path into one of the most exciting areas of AI and data science. Through guided lessons and real-world examples, you'll learn how to clean, structure, and analyze text data, apply feature extraction techniques, and build basic NLP models for tasks like text classification and named entity recognition. By the end of this course, you will be able to: • Understand NLP basics and key language concepts like morphology, syntax, semantics, and pragmatics. • Apply text cleaning and preprocessing techniques using NLTK and SpaCy, including tokenization, stemming, lemmatization, and embeddings. • Analyze text features by extracting Bag of Words, TF-IDF, and Word2Vec representations. • Evaluate machine learning models built for text classification. • Create NLP solutions by implementing Named Entity Recognition and syntactic parsing. This course is ideal for beginners, data enthusiasts, and aspiring NLP practitioners who want to gain a strong foundation in natural language processing and its applications in AI. No prior experience with NLP is required. A basic understanding of Python or machine learning concepts will be helpful, but not mandatory. Join us to begin your journey into the world of Natural Language Processing and text analysis with Python!
Alex Genadinik
Marketing Introduction And Fundamentals
This course is ideal for marketing beginners. You will learn to identify the ideal clients to target with your marketing, estimate your company's target market, and get exposed to some of the most brilliant thinkers in the field of marketing - all in a beginner-friendly way that is easy to understand. This course is made especially for beginners because marketing can feel daunting in the beginning. There are so many buzz words and different marketing websites that it's easy to get lost and confused. That's why this course focuses on the core fundamentals. Invest in your future! Enroll today!
University of London
Understanding Research Methods
This MOOC is about demystifying research and research methods. It will outline the fundamentals of doing research, aimed primarily, but not exclusively, at the postgraduate level. It places the student experience at the centre of our endeavours by engaging learners in a range of robust and challenging exercises befitting SOAS, University of London's status as a research-intensive university and its rich research heritage. The course will appeal to those of you who require an understanding of research approaches and skills, and importantly an ability to deploy them in your studies or in your professional lives. In particular, this course will aid those of you who have to conduct research as part of your postgraduate studies but do not perhaps have access to research methods courses, or for those of you who feel you would like additional support for self-improvement. There is no expectation that you already have a research topic or project in mind when you begin the course. No prior knowledge or experience in research is required to take this course and as such, the course is for everyone. This MOOC draws on a wealth of existing course material developed to support research training across SOAS, University of London and particularly drawing from the Centre for International Studies and Diplomacy (CISD). In 2015, the course was nominated for the prestigious Guardian University Award for its innovative approach to online learning. Participation in or completion of this online course will not confer academic credit for University of London programmes.
Google Cloud
Responsible AI for Developers: Privacy & Safety - Français
Ce cours présente des points importants au sujet de la confidentialité et de la sécurité de l'IA. Vous découvrirez des méthodes pratiques et des outils pour mettre en place des pratiques recommandées de confidentialité et de sécurité de l'IA à l'aide de produits Google Cloud et d'outils Open Source.
Coursera
Strengthen Brand Equity
Strengthen Brand Equity: Managing Visual Identity and Measuring Brand Health is an intermediate-level course designed for marketers who want to become the trusted stewards of their brand. In a crowded marketplace, brand equity is your most valuable asset, and this course provides the essential skills to both build and measure it. You will learn to manage the tangible side of your brand by taking control of its visual identity system. Through a hands-on project, you'll learn how to update a brand kit in Figma—changing master components like logos and color codes—and prepare assets for distribution, reflecting the best practices of companies like Slack and Google. Beyond visuals, you'll learn to quantify your brand's market standing. The course will guide you through the process of evaluating brand equity by analyzing brand health survey data. You'll work with a realistic dataset to calculate Net Promoter Score (NPS), identify crucial market trends, and, most importantly, learn how to communicate these data-driven insights to leadership in a concise, impactful presentation. This course will equip you to move from simply executing marketing tasks to proactively managing your brand's reputation and driving its strategic growth. Modern brand management is not about policing teams, but about enabling consistency through systems and shared understanding.
University of Maryland, College Park
Digital Marketing Capstone
In the Digital Marketing Capstone, you will synthesize what you have learned from previous courses to develop a comprehensive digital marketing strategy tailored to real-world business objectives. Over two intensive weeks, students will create, analyze, and refine a data-driven marketing plan that targets a specific audience and is optimized across multiple digital channels. The course emphasizes advanced digital marketing analytics to uncover actionable insights, guiding strategies toward measurable success. Participants will design integrated online advertising campaigns, spanning social media, search, and display channels, and develop customer acquisition and retention tactics aimed at maximizing customer lifetime value. By the end of the course, students will produce a peer-reviewed, professional-quality digital marketing strategy, demonstrating their ability to make data-driven decisions, engage the right audiences, and deliver impactful marketing results. This capstone serves as the final step in the Digital Marketing Specialization, allowing students to showcase their skills and prepare for success in the digital marketing industry.
National Taiwan University
商管統計資料分析一 (Analytics for Business and Management (I))
本課程為三模組系列課程之第一模組。 此系列課程專門教授各種線性迴歸形式 (regression-type) 的統計分析模型與技術。此系列課程以大量多樣之商管實務案例進行解說，並以 R 統計語言進行建模分析，提供完整的命令稿 (script) 與資料集讓同學們實地操作演練，培養統計分析思維與實戰技能。 本第一模組是築基課程，講述統計分析與迴歸模型的基本觀念，包括統計思維 (statistical thinking)、探索型資料分析 (EDA, Exploratory Data Analysis)、迴歸模型的原理與前提條件、參數估計與假設檢定、模型評估與詮釋、預測與應用、變數轉換與選擇、離群值與建模陷阱等。