The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
University of Washington
Lesson | Business English Skills: How to Write Effective Openings and Closings to Emails
This lesson is part of a full course, Business English Networking. Take this lesson to get a short tutorial on the learning objectives covered. To dive deeper into this topic, take the full course. By the end of this lesson, you will be able to: - Write effective sentences to begin an email - Write friendly, closing sentences
Google
Visualize Data
In this course, you’ll delve into the various types of data visualizations and explore what makes an effective visualization. You'll also learn about accessibility, design thinking, and other factors that will help you use data visualizations to effectively communicate data insights. By the end of this course, you will be able to: - Explain the key concepts involved in design thinking as they relate to data visualization - Describe the use of data visualizations to talk about data and the results of data analysis - Discuss accessibility issues associated with data visualization - Explain the importance of data visualization to data analysts - Describe the key concepts involved in data visualization
Ashoka University
Personality in Action: Science to Shape Your Life
Welcome to our course on personality and behaviour change! Over nine weeks, in bite-sized lectures, we’ll explore the science of personality and equip you with the tools to create meaningful change in your life, work and relationships. Unlike theory-heavy courses, this course uses practical frameworks to help you understand your behaviour and actively influence it—whether as a leader, colleague, partner, or friend. We’ll debunk myths about who you think you are, explore how personality affects your work, relationships and well-being, and learn how behaviour change principles can guide your personal growth. With weekly challenges that you can track and share with your peers, you’ll have an opportunity to observe your behaviour more closely and practice what change looks like for you.
Samsung
Samsung Customer Care Essentials
Prepare to join a group of over 10,000 Samsung Mobile certified repair technicians in the U.S. who have gone through a training certification that equips them with the skills to conduct a mobile repair safely. Samsung has more than 1,000 Authorized Service Centers and service locations which is a care network that 75% of Americans have access to. This is an entry level course that will teach you the basics of Samsung Care that are needed to become a Samsung mobile repair technician or customer care representative.
EDUCBA
Hadoop Projects: Apply MapReduce, Pig & Hive
By the end of this course, learners will be able to prepare raw YouTube datasets, apply MapReduce for large-scale processing, implement Pig Latin scripts for metadata analysis, and execute HiveQL queries to generate structured insights. The course blends practical scenarios with hands-on tools from the Hadoop ecosystem, empowering learners to analyze real-world data efficiently. This project-based course offers a unique opportunity to practice Big Data analytics using actual YouTube data. Unlike theoretical courses, it emphasizes end-to-end implementation — from data preparation and transformation to query execution and output interpretation. Learners will gain practical skills in Hadoop, MapReduce, Pig, and Hive, making them proficient in handling complex datasets and extracting valuable insights. By completing this course, learners will not only master essential Hadoop tools but also build a portfolio-ready project that demonstrates Big Data analysis skills applicable to industry scenarios such as video analytics, recommendation systems, and large-scale reporting. This makes the course ideal for students, professionals, and data enthusiasts aiming to strengthen their expertise in Big Data.
Universidad Nacional Autónoma de México
Robótica
¿Te gustaría construir un robot y controlarlo a través de tu celular? ¡Estás en el curso indicado! Aquí podrás armar y animar un robot además de controlarlo con tu teléfono móvil, aún cuando te encuentres lejos de éste. ¿No sabes acerca de mecánica, electrónica o programación? ¡No te preocupes! Éste es un curso en el que aplicarás los conocimientos básicos sobre mecánica, electricidad, electrónica y programación para construir y controlar tu robot. Parece complicado, pero no te preocupes, ya verás que resulta muy sencillo. El único requisito es que tengas interés por aprender sobre robótica móvil. Subtítulos disponibles en español Cinco semanas de estudio Dos/cuatro horas por semana * Los videos de este curso fueron producidos en colaboración con Fundación Televisa, apoyando el acceso a la educación.
Board Infinity
Practical Software Testing
Take the next step in your software quality assurance journey by learning how to design, manage, and execute tests that uncover defects and ensure reliable software delivery. This course builds on foundational concepts and provides practical, hands-on skills in manual testing techniques, test management, and effective bug reporting. You will practice black-box, white-box, and static testing methods to validate both functionality and code behavior. The course also introduces structured test management practices, including writing test plans, managing test cases and data, and setting up controlled testing environments. With bug reporting essentials, you will learn how to track, prioritize, and communicate defects clearly so developers can act quickly and accurately. Through real-world examples, guided exercises, and detailed assessments, you will develop the ability to design efficient tests, document them professionally, and contribute effectively to a software testing team. This course equips you with skills aligned with industry practices and prepares you to move toward advanced testing and automation topics in your learning journey. By the end of this course, you will be able to: -Apply manual test design techniques including black-box, white-box, and static reviews. -Create professional test documentation including test plans, cases, and data sets. -Organize and manage test environments to support consistent execution. -Track, report, and communicate software defects effectively to stakeholders. Disclaimer: This is an independent educational resource created by Board Infinity for informational and educational purposes only. This course is not affiliated with, endorsed by, sponsored by, or officially associated with any company, organization, or certification body unless explicitly stated. The content provided is based on industry knowledge and best practices but does not constitute official training material for any specific employer or certification program. All company names, trademarks, service marks, and logos referenced are the property of their respective owners and are used solely for educational identification and comparison purposes.
Google Cloud
Google Workspace Security
This course empowers learners to secure their Google Workspace environment. Learners will implement strong password policies and two-step verification to govern user access. They will then utilize the security investigation tool to proactively identify and respond to security risks. Next, they will manage third-party app access and mobile devices to ensure security. Finally, learners will enforce email security and compliance measures to protect organizational data.
Northeastern University
Ethics and AI: A Philosophical Guide to Responsible Use
The primary objectives of this course are to introduce concepts around defining AI and problematizing it's regulation, doing both from a philosophical standpoint. In this course, you'll be introduced to basic philosophical methods and have the opportunity to practice with logical statements. This practice will help you as you critically evaluate arguments for validity and soundness while forming your own opinion on the ethics of AI and AI regulation.
LearnKartS
Emotional Intelligence in the Workplace
Master Emotional Intelligence (EI) in the Workplace: A Story-Driven Learning Experience Emotional intelligence isn't just a trendy term; it's the key skill that makes leaders effective, teams engaged, and workers resilient. This immersive emotional intelligence training brings emotional intelligence to life through a stunning storytelling approach. You will witness relatable workplace scenarios that illustrate how emotional intelligence skills contribute to improved communication, stronger relationships, and effective conflict resolution. Unlike standard emotional intelligence training, this course demonstrates how EI transforms teams from the inside rather than simply explaining what it is. You will learn how to increase self-awareness, regulate emotions, foster empathy, and lead with effect. Ideal for managers, aspiring leaders, and professionals at all levels, this course covers the five major components of EI: self-awareness, self-regulation, motivation, empathy, and social skills. In the end, you will not only grasp but also embody the value of emotional intelligence, learning the techniques for inspiring, connecting, and leading with emotional intelligence. Enroll Now!
Universitat de Barcelona
Molecular Tumor Board 2021-22
Se trata de un curso que nace a raíz de una de las sesiones formativas que realiza cada 15 días el Servicio de Oncología Médica del Hospital Clínic de Barcelona (HCB). En este curso se presentan casos clínicos simulando un MTB de tumores sólidos, con un objetivo principal, mejorar el conocimiento específico del impacto clínico del perfil molecular en tumores sólidos. Está destinado a médicos oncólogos y a estudiantes y profesionales vinculados a la oncología médica. Cada seminario que conforma el curso lo presenta un profesional de una patología diferente del Servicio de Oncología Médica del HCB. El curso está ACREDITADO por el "Consell Català de la Formació Continuada de les Professions Sanitàries (CCFCPS)" con 4,2 créditos.
SkillUp
Code of Conduct
A strong workplace culture is built on trust, respect, and ethical behavior, and this course helps you understand how to uphold these principles every day. It begins by grounding you in company values and code of conduct expectations, explaining why integrity matters and how individual actions shape a safe and inclusive workplace. You will explore how to demonstrate accountability in daily decisions, foster respectful interactions, and contribute to psychological safety. The course also walks you through real-world challenges involving conflicts of interest, bribery, and the responsible use of company assets, helping you recognize ethical risks and make informed choices. You will learn how to represent the organization professionally in public settings and online spaces, ensuring that your actions reflect credibility and discretion. Finally, the course empowers you to speak up confidently, understand reporting channels, and trust in the protections provided through non-retaliation policies. Through real-life examples, reflective exercises, and interactive scenarios, this course equips you with the awareness and judgment needed to support an ethical, inclusive, and responsible workplace.
Alex Genadinik
AI Errors & Hallucinations: Debugging & Fact-Checking
Not all AI mistakes are the same. Knowing the difference can save you time, money, and headaches. This course gives you the skills to identify, debug, and prevent AI hallucinations and errors across different use cases, from natural language generation to coding assistants. We start with the fundamentals: What is an AI hallucination? How to detect fabricated facts, fake citations, and confident falsehoods. What is an AI error? How to spot faulty logic, outdated knowledge, and reproducible mistakes. Quick reality-check techniques to verify AI output before it causes harm. Best prompting strategies to reduce risk and improve accuracy. Then we move into AI code assistant errors: Debugging incorrect AI-generated code. Avoiding subtle logic bugs and broken dependencies. Testing AI-written functions before deployment. Combining human review with AI-generated solutions for reliable output. We’ll also cover real-world case studies where misunderstanding an AI’s mistake led to costly outcomes, and how small changes in workflow could have prevented them. You’ll see how these lessons apply not only to text and coding assistants, but also to AI-driven data analysis, customer service bots, and decision support systems. Finally, you’ll learn a systematic AI output verification framework you can apply to any LLM, whether it’s ChatGPT, Claude, Gemini, or open-source models. This framework ensures you catch misinformation, prevent damaging decisions, and maintain quality in both everyday AI tasks and high-stakes professional work. By the end of this course, you’ll be able to: Tell hallucinations and errors apart instantly. Design prompts that minimize AI mistakes. Verify facts and sources efficiently. Debug AI code assistant output with confidence. Perfect for developers, tech professionals, and anyone using AI tools for content, decision-making, or coding.
Eindhoven University of Technology
Lightcap 4: Light in indoor contexts Effects & implications
Light is one of our most valuable resources on this earth. It makes the world visible to us, is the major driver of the 24-hr sleep-wake cycle to which not only humans, but virtually all life on earth (fauna and flora) submits. In fact, there would be no life on earth without light. It is therefore hard to overestimate the impact light has on humans, biologically, psychologically, socially. And yet, we hardly ever think or speak about light. LIGHTCAP 4 is titled “Light in indoor contexts”. This MOOC explores the principles of lighting and its effects on humans in various indoor settings. It introduces elements of light and light sources, light distribution indoors, lighting standards, measurements and last, simulations as an important design tool for optimizing indoor lighting. The course is one in a series of four, each with a different disciplinary basis and with complementary perspectives to the domain of light for humans. The basis of this course is in building physics, lighting design and architecture. In this course you will: (1) learn why it is important to consider light in the design and evaluation of indoor environments (2) understand different light sources (daylight & electric lighting) and their properties as well as conceptual strategies for integrative daylighting and electric lighting design (3) take away a general understanding of the ways in which architecture and design play a role in creating light exposures within indoor environments, and the various factors to keep in mind when designing spaces for people (4) learn which metrics (e.g. glare, contrast, luminance) in a person's field of view need to be considered when providing for good lighting, and how to quantify all these elements (5) learn to consider how light exposure profiles are built over time and how the built environment (particularly indoor spaces) influences that (6) learn about standards and guidelines for indoor lighting on important parameters, such as, glare, discomfort and disability, material reflectance, and surface illumination (7) be introduced to the use of simulation tools to quantify the effect of a lighting design. (8) Specifically, you will learn: how to use grasshopper, perform daylight simulations with Ladybug tools, Electric light simulations with Honeybee legacy, and simulations for non-image forming light effects with Lark Spectral Lighting (9) be re-introduced to light metrology, covering metrological quantities (radiance, irradiance, luminance, illuminance etc.) and their physical foundation (10) learn about different types of light measurement devices (spectrometers, photometers, luminance meters and cameras) and their various applications. (11) learn about procedures for static light measurements in indoor light settings (horizontal vs. vertical, grid arrangement, fov etc.) (12) learn about longitudinal dosimetry, covering methodological considerations regarding measurement (device selection, calibration, measurement setup) and data analysis
Fundação Instituto de Administração
CRM, Dados e o Futuro Centrado no Cliente
Nossas boas-vindas ao Curso CRM, Dados e o Futuro Centrado no Cliente. Neste curso, você aprenderá que transformação digital e o crescimento das técnicas de analytics e inteligência artificial mudaram completamente a relação entre empresas e consumidores. Oferecer excelência no atendimento e garantir a satisfação do público são apenas itens fundamentais para uma organização se manter competitiva em um mundo globalizado. O curso aborda a estratégia centrada no consumidor e como as tecnologias estão ajudando nessa transformação. Ao final deste curso, você será capaz de compreender a importância da análise de e estruturação dos dados para uma gestão efetiva do cliente. Este curso é composto por quatro módulos, disponibilizados em semanas de aprendizagem. Cada módulo é composto por vídeos, leituras e testes de verificação de aprendizagem. Ao final de cada módulo, temos uma avaliação de verificação dos conhecimentos. Estamos muito felizes com sua presença neste curso e esperamos que você tire o máximo de proveito dos conceitos aqui apresentados. Bons estudos!
Adobe
AI Foundations for Creativity
Whether you're a designer, educator, or business professional, this course offers a practical and inclusive introduction to AI-enhanced creativity. You’ll explore how generative AI differs from traditional machine learning, how tools like Adobe Firefly are trained, and how to use them responsibly and effectively. Through real-world examples and hands-on demos, you’ll learn to apply AI across design, video, writing, and more. Discover how AI can support every stage of the creative process, from brainstorming and ideation to refinement and scaling, while enabling you to maintain your unique voice and vision. You’ll learn to use AI to generate content across formats, make informed creative decisions, and guide outputs with precision. The course also covers key ethical considerations including model transparency, content safety, and ownership. By the end, you’ll be equipped to integrate AI into your creative process with confidence, integrity, and impact.