The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
Tecnológico de Monterrey
Incrementar - Parte 2 y Controlar
El curso explora herramientas selectas de las etapas de Mejora y Control de la metodología DMAIC de Lean Six Sigma, presentando una mezcla de herramientas cuantitativa y cualitativas. En la etapa de Mejora se busca construir modelos matemáticos predictivos a través de regresión lineal múltiple y regresión polinomial; mientras que se introducen las herramientas Lean de Kanban y Mantenimiento Productivo Total (TPM) con el objetivo de mejorar el desempeño de un proceso a través de la estabilidad del mismo al reducir paros por falta de materiales y fallas en los equipos. En la etapa de Control se introduce el Control Estadístico de Procesos como una herramienta para monitorear el desempeño de un sistema para detectar distintos patrones que pueden provocar no conformidades, antes de que el sistema comience a generar artículos defectuosos. Como herramientas de manufactura esbelta se presentan el Poka Yoke para evitar cometer errores y la técnica de reporte A3 para solucionar problemas. Los objetivos del curso son los siguientes: • Identificar causas raíz mediante las herramientas cuantitativas. • Controlar procesos a través de las herramientas estadísticas. • Estabilizar y controlar los procesos a través de las herramientas lean.
DeepLearning.AI
AI and Disaster Management
In this course, you will be introduced to the four phases of the disaster management cycle; mitigation, preparation, response, and recovery. You’ll work through two case studies in this course. In the first, you will use computer vision to analyze satellite imagery from Hurricane Harvey in 2017 to identify damage in affected areas. In the second, you will use natural language processing techniques to explore trends in aid requests in the aftermath of the 2010 earthquake in Haiti.
Packt
Modern Java - Mastering Features from Java 8 to Java 21
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. Unlock the power of modern Java by mastering key features introduced from Java 8 through Java 21. This course guides you through fundamental and advanced concepts like lambdas, streams, functional interfaces, new date/time APIs, enhanced switch statements, sealed classes, pattern matching, and modular programming, empowering you to write cleaner, more efficient Java code. Starting with the essentials of Java setup and the importance of Java 8, you will progressively dive into lambda expressions and the Streams API with numerous hands-on labs to solidify learning. The journey continues with explorations of method references, local variable type inference, records, sealed classes, and the newest HTTP client alongside real-world project examples for practical understanding. Ideal for Java developers eager to update their skills or programmers transitioning to modern Java, this course assumes basic Java knowledge but builds toward advanced usage. Whether you're enhancing existing applications or architecting new ones, this course is designed to elevate your Java expertise from intermediate to advanced levels.
Packt
Interactive UI/UX Components and Advanced JavaScript
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 master building engaging and interactive UI/UX components using HTML, CSS, and advanced JavaScript. Through projects like Emoji Rating, Sticky Navbar, and Double Landing Page, you’ll learn to create responsive designs that react to user interactions. Each section guides you in combining structure, style, and logic while mastering DOM manipulation, animations, and event-driven programming. As you advance, you’ll build projects such as Dark Mode Toggles, Drum Kits, and To-Do Lists, focusing on real-world interactivity and clean coding practices. You’ll also explore animation, scroll effects, and API integration through creative projects like Random Photos and Background Image Scroll Effects. This course is ideal for learners familiar with HTML, CSS, and basic JavaScript who want to advance their front-end skills. By the end, you’ll be able to design dynamic, intuitive, and professional UI/UX components using modern JavaScript techniques.
Intel
An Introduction to Practical Deep Learning
This course provides an introduction to Deep Learning, a field that aims to harness the enormous amounts of data that we are surrounded by with artificial neural networks, allowing for the development of self-driving cars, speech interfaces, genomic sequence analysis and algorithmic trading. You will explore important concepts in Deep Learning, train deep networks using Intel Nervana Neon, apply Deep Learning to various applications and explore new and emerging Deep Learning topics.
EDUCBA
Marketing Fundamentals Mastery: Apply, Analyze & Evaluate
By the end of this course, learners will be able to define core marketing concepts, analyze historical developments, apply frameworks such as the marketing mix and segmentation, and evaluate strategies for planning, communication, and performance measurement. This beginner-friendly program provides a comprehensive journey through the marketing universe, starting from its definitions and history, moving into the evolution of marketing orientations, and progressing toward advanced topics like digital marketing, strategic planning, and performance analysis. Learners will gain the skills to construct marketing plans, design communication strategies, and assess marketing effectiveness using ROI and implementation matrices. What makes this course unique is its blend of theory and practice—it not only explores the dominant schools of thought but also connects them with modern tools like digital marketing mix, segmentation strategies, and integrated communication. With structured modules, engaging examples, and graded assessments, this course equips learners with both the foundational knowledge and practical decision-making skills required to thrive in today’s dynamic marketing environment.
Coursera
GenAI for Legal Research
In today’s fast-paced legal environment, the ability to process massive amounts of information quickly and efficiently is critical. This course is designed to equip you with the knowledge and tools to leverage Generative AI in your legal practice. Whether you're looking to streamline research, enhance document drafting, or predict case outcomes, we’ll explore how AI can transform your workflow, allowing you to maintain both ethical standards and a competitive edge. This course is ideal for legal professionals who want to improve their research efficiency, tech-savvy practitioners eager to incorporate AI into their daily practices, law students preparing for the future of legal research, and in-house legal teams dealing with vast amounts of legal data. Additionally, it is highly relevant to compliance officers, legal tech developers, and legal entrepreneurs looking to stay ahead of industry trends. No professional degree is required for this course, though a basic understanding of legal concepts will be beneficial. Familiarity with legal research, key legal terms, and legal writing will help you engage more effectively with the material. Enthusiasm for innovation and improving efficiency is essential to fully benefit from this course. By the end of this course, you will be able to assess the impact of Generative AI on legal research, implement AI tools to automate legal tasks, evaluate the ethical implications of AI in law, and create AI-powered legal workflows that predict outcomes and aid in strategic decision-making.
Logical Operations
Microsoft PowerPoint for Office 365: Part 1
How do you grab and maintain an audience's focus when you're asked to present important information? By being clear, organized, and engaging. And, that is exactly what Microsoft® PowerPoint® can help you do. Today's audiences are tech savvy, accustomed to high-impact multimedia content, and stretched for time. By learning how to use the vast array of features and functionality contained within PowerPoint, you will gain the ability to organize your content, enhance it with high-impact visuals, and deliver it with a punch. In this course, you will use PowerPoint to begin creating engaging, dynamic multimedia presentations. Note: Most Office users perform the majority of their daily tasks using the desktop version of the Office software, so that is the focus of this training. The course material will also enable you to access and effectively utilize many web-based resources provided with your Microsoft 365 subscription. This includes brief coverage of key skills for using PowerPoint for the Web and OneDrive. Helpful notes throughout the material alert you to cases where the online version of the application may function differently from the primary, desktop version. This course may be a useful component in your preparation for the Microsoft PowerPoint (Microsoft 365 Apps): Exam MO-310 certification exam. This course is designed for students who wish to gain a foundational understanding of PowerPoint that is necessary to create and develop engaging multimedia presentations. In this course, you will: identify the basic features and functions of PowerPoint, develop a PowerPoint presentation, perform text formatting, add and arrange graphical elements, modify graphical elements, and prepare to deliver your presentation. This course requires that you have Microsoft PowerPoint 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.
Packt
Learn Data Integration and Visualization with Elasticsearch
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 offers an in-depth exploration of data integration and visualization using Elasticsearch, Logstash, and Kibana, providing you with the tools and knowledge needed to manage and present complex data. The journey begins with understanding how to import data into Elasticsearch, whether it’s small-scale data or large datasets. You'll learn to use scripts, client libraries, and Logstash for data import, with practical exercises to reinforce your understanding. The use of Logstash is thoroughly covered, including working with various data formats and integrating data from MySQL, S3, and Kafka. As the course progresses, you'll dive into the world of data aggregation within Elasticsearch. You will explore concepts like buckets, metrics, and histograms, which are essential for analyzing and summarizing data. Through hands-on exercises, you'll learn how to effectively use aggregations to generate meaningful insights from time series data and nested data structures, ensuring that you can extract the maximum value from your data. In the final sections, the course shifts focus to visualization, teaching you how to harness the power of Kibana to create compelling, interactive dashboards. You'll start by installing and configuring Kibana, followed by an exploration of its core features, such as Kibana Lens and Canvas. These tools will enable you to visualize data in a way that is both informative and visually appealing, making your data presentations stand out. This course is designed for data engineers, analysts, and IT professionals who need to integrate, manage, and visualize data using Elasticsearch and Kibana. A basic understanding of databases and data structures is recommended to fully benefit from the course. By the end of the course, you'll have a solid foundation in data integration, aggregation, and visualization, empowering you to transform raw data into actionable insights.
The University of Sydney
Blockchain Scalability and its Foundations in Distributed Systems
Blockchain promises to disrupt industries once it will be efficient at large scale. In this course, you will learn how to make blockchain scale. You will learn about the foundational problem of distributed computing, consensus, that is key to create blocks securely. By illustrating limitations of mainstream blockchains, this course will indicate how to improve the technology in terms of security and efficiency. In particular, this course will help you: * understand security vulnerabilities of mainstream blockchains; * design consensus algorithms that tolerate attacks, and; * design scalable blockchain systems.
Coursera
Pixels with Purpose: Lo-Fi to Hi-Fi Design in Sketch
This course focuses on transitioning from initial concepts to polished mockups. You'll analyze and refine low-fidelity wireframes, develop a comprehensive Design System for GreenLeaf Grocers, apply design principles for visually appealing interfaces, and use Sketch to translate wireframes into high-fidelity mockups leveraging the created Design System. By the end, you'll have mastered transforming concepts into high-fidelity designs, preparing you for advanced prototyping.
Starweaver
Advanced Financial Analysis and Credit Risk Modeling
In this course, you'll gain a strategic introduction to credit analysis and fixed income investing, blending foundational principles with practical tools to assess financial health, creditworthiness, and investment potential. Designed for professionals in investment management, corporate finance, or credit evaluation, the course explores how credit decisions are made, how debt instruments function, and how financial and non-financial data inform risk assessment. Through hands-on exercises and real-world case studies, you’ll apply analytical frameworks to real market scenarios. By the end of the course, you'll approach credit and fixed income analysis with greater precision, confidence, and strategic insight. This course is designed for finance professionals aiming to deepen their expertise in credit risk assessment and fixed income investing. Whether you're a financial analyst, fixed income trader, portfolio manager, or credit risk specialist at a bank or rating agency, the content is tailored to equip you with practical, industry-relevant skills. Investors looking to better understand the bond market will also benefit from its structured approach and real-world applications. To get the most out of this course, participants should have a basic understanding of financial concepts such as time value of money, interest rates, and financial statements. Familiarity with Excel and basic quantitative skills will be helpful for completing hands-on exercises. While no prior experience in credit analysis or fixed income markets is required, those with a background in finance, accounting, or investment will find the course especially rewarding. By the end of this course, participants will be equipped to perform detailed ratio and cash flow analyses to evaluate creditworthiness and debt servicing ability. They will also be able to apply quantitative models to calculate probability of default and expected loss, and utilize both structural and reduced-form credit risk models to support sound investment decisions. These skills will enable them to make informed credit assessments and contribute effectively to financial decision-making in professional settings. Learners will also gain the confidence to apply analytical tools to real-world credit scenarios, enhancing their ability to manage risk in dynamic financial environments.
Coursera
Patient Outcomes: Communicate with Clarity
Effective communication is the cornerstone of quality patient care. This course is designed for healthcare professionals who want to master the art of clear, professional, and empathetic written communication. You will move beyond theory and into practical application, learning how to refine your writing style, modulate your tone for different audiences, and eliminate ambiguity that can lead to confusion or medical errors. Through a series of hands-on exercises, you will practice rewriting common healthcare communications to improve their effectiveness. You will also learn how to design and implement Standard Operating Procedures (SOPs) to ensure your entire team communicates with a consistent and professional voice. Featuring real-world case studies, interactive AI-powered dialogues, and practical templates, this course equips you with the tools to build patient trust, improve team collaboration, and contribute to better patient outcomes. You will leave this course with a tangible toolkit to elevate your professional correspondence immediately.
University of Pittsburgh
Introduction to Dental Terminology
This course provides foundational knowledge for those interested in developing a better understanding of basic dental terminology. The course will define and explore clinical and non-clinical terms commonly used in endodontics, oral and maxillofacial surgery, orthodontics, pediatric dentistry, periodontics, prosthodontics, restorative dentistry, dental radiography, and dental practice administration. The course is organized by specialty so participants may personalize their experience and focus their learning as needed. Identifying and applying these terms will help the learner to become a better communicator and more effective oral healthcare team member, to prepare for future studies, and to act as a more informed oral health advocate for themselves or others.
EDUCBA
Mastering Python Logic and Data Structures
This course is designed to equip learners with a foundational and functional understanding of Python programming through the progressive exploration of core logic and data-handling structures. Through real-world examples and carefully sequenced lessons, students will learn to apply control flow, construct efficient loops, evaluate Boolean logic, and manipulate complex data collections like dictionaries and lists. The course begins by introducing Python dictionaries—key-value data structures essential for structured data manipulation. Learners will explore dictionary creation, access methods, and nested structures. Next, the course advances into essential programming concepts such as printing, importing, variable assignment, block structuring, and conditional execution. Finally, students will build mastery over iterative operations using for and while loops, learn the role of the pass statement, and streamline their workflows using list comprehensions and value cleanup techniques. Through interactive content, assessments, and practice quizzes, learners will be empowered to analyze program flow, synthesize list-based logic, and refine their approach to structured problem-solving in Python.
University of Houston
Powerful Tools for Teaching and Learning: Web 2.0 Tools
In this course you will learn about a wide variety of Web 2.0 tools to use in your teaching and learning. Web 2.0 tools provide innovative ways to communicate, present content, and collaborate with others in creative ways. Web 2.0 tools are easy to learn, use, and implement, and many are free. This course will not only introduce you to popular Web 2.0 tools like Edmodo, Twitter, Voicethread, and Skype in K-16 instruction, but you will also learn how to effectively integrate these technologies into your classroom practices and create engaging student activities.