The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
Google
Google Data Analytics Capstone: Complete a Case Study
This course is the eighth course in the Google Data Analytics Certificate. You’ll have the opportunity to complete a case study, which will help prepare you for your data analytics job hunt. Case studies are commonly used by employers to assess analytical skills. For your case study, you’ll choose an analytics-based scenario. You’ll then ask questions, prepare, process, analyze, visualize and act on the data from the scenario. You’ll also learn about useful job hunting skills, common interview questions and responses, and materials to build a portfolio online. Current Google data analysts will continue to instruct and provide you with hands-on ways to accomplish common data analyst tasks with the best tools and resources. Learners who complete this certificate program will be equipped to apply for introductory-level jobs as data analysts. No previous experience is necessary. By the end of this course, learners will: - Learn the benefits and uses of case studies and portfolios in the job search. - Explore real world job interview scenarios and common interview questions. - Discover how case studies can be a part of the job interview process. - Examine and consider different case study scenarios. - Have the chance to complete your own case study for your portfolio. - Learn AI skills from Google experts to help complete data analytics tasks.
Packt
Delivering Bad News to Customers
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. Delivering bad news to customers is an inevitable aspect of business, but how you manage these situations can significantly impact customer relationships and your professional reputation. This course is designed to teach you the key principles, strategies, and techniques required to handle difficult conversations with professionalism, empathy, and care. By mastering these skills, you'll learn to navigate uncomfortable situations effectively, ensuring that even bad news is communicated with clarity and compassion. Throughout the course, you'll explore practical approaches for owning the message and developing a confident mindset before delivering difficult news. You will be introduced to strategies for managing diverse customer reactions, preparing for difficult conversations, and choosing the right communication medium for various scenarios. Real-life examples and actionable tips will guide you in delivering updates with poise and empathy, fostering a genuine connection with customers, even during high-stress interactions. As you progress, you'll delve deeper into how to build your career through empathetic communication and ensure a solution-focused approach after delivering bad news. The course culminates with an emphasis on maintaining professionalism and handling intense reactions with confidence, ultimately refining your communication skills to manage the most challenging customer service situations. This course is ideal for professionals who want to improve their customer service skills, especially when faced with delivering bad news. Whether you're in customer service, sales, or leadership, mastering this skill will help you grow in your role and enhance your professional reputation. There are no specific prerequisites for this course, but it’s best suited for those with some customer-facing experience. By the end of the course, you will be able to deliver difficult news with confidence, handle customer reactions effectively, and choose the most appropriate medium for communication. You’ll also be equipped with the tools to manage challenging conversations while maintaining professionalism and empathy.
Pontificia Universidad Católica de Chile
Camino a la Excelencia en Gestión de Proyectos
El curso “Camino a la excelencia en gestión de proyectos” describe los tres principales componentes de Lean Project Management (Gestión de Proyectos sin Pérdidas), estos son: (1) La filosofía de producción lean, la que proveniente de la industria automotriz japonesa, revisaremos sus principios fundamentales y cómo se ha adaptado a otras industrias. (2) El cambio cultural, la implementación de lean depende de las personas y veremos qué características son necesarias para la excelencia en gestión de proyectos y qué condiciones contractuales ayudan a generar una mejor cultura. (3) La tecnología, veremos métodos y técnicas lean tales cómo mapeo de la cadena de valor, sistema de planificación el último planificador, entre otros. Finalmente, este curso entrega los conceptos básicos y permite la ejercitación de estos conceptos para caminar hacia la excelencia en gestión de proyectos.
Microsoft
The PL-900 Practice Exam
This course will validate your knowledge of the Microsoft Power Platform and prepare you to take the Exam: PL-900: Microsoft Power Platform Fundamentals. Additionally, this course will recap the main features and functionalities of the Microsoft Power Platform: covering its core components such as Power BI, Power Apps, Power Automate, and Power Virtual Agents, their individual capabilities, and how they seamlessly integrate to form a powerful ecosystem.
Board Infinity
Risk Assessment and Management in Cybersecurity
In today’s interconnected digital world, effective risk assessment and management are crucial for maintaining a robust cybersecurity posture. This course will equip you with the knowledge and skills needed to identify, evaluate, and manage IT risks in alignment with business goals. Through this course, you will gain an in-depth understanding of IT risk categories, frameworks like ISO 31000 and NIST, and how emerging technologies such as AI, cloud computing, and IoT bring new vulnerabilities. You’ll explore risk assessment methodologies, apply tools for evaluating risks, and learn how to develop comprehensive mitigation strategies. By the end of this course, you’ll be able to conduct risk assessments using qualitative and quantitative methods, develop risk mitigation plans, and establish a culture of risk awareness within your organization. This course is unique in its practical approach, offering case studies, real-world examples, and guidance on integrating risk management with organizational strategy for long-term resilience. Whether you're an IT professional, cybersecurity analyst, or business leader, this course will enhance your ability to safeguard your organization from the ever-evolving cybersecurity landscape. Disclaimer: This course is an independent educational resource developed by Board Infinity and is not affiliated with, endorsed by, sponsored by, or officially associated with Cisco Systems Inc. or any of its subsidiaries or affiliates. This course is not an official preparation material of Cisco Systems Inc.. All trademarks, service marks, and company names mentioned are the property of their respective owners and are used for identification purposes only.
University of Colorado Boulder
Science of Exercise
Learners who complete Science of Exercise will have an improved physiological understanding of how your body responds to exercise, and will be able to identify behaviors, choices, and environments that impact your health and training. You will explore a number of significant adjustments required by your body in order to properly respond to the physical stress of exercise, including changes in carbohydrate, fat and protein metabolism, nutritional considerations, causes of muscle soreness & fatigue, and the effectiveness and dangers of performance enhancing drugs. Active learning assessments will challenge you to apply this new knowledge via nutrition logs, heart rate monitoring, calculations of your total daily caloric expenditure and body mass index (BMI). Finally, learners will examine the scientific evidence for the health benefits of exercise including the prevention and treatment of heart disease, diabetes, cancer, obesity (weight loss), depression, and dementia.
LearnKartS
Cloud Security Governance and Threat Modeling
Cloud security isn’t just about tools—it’s about the decisions that guide them. Cloud Security Governance & Threat Modeling takes you into the world where strategy meets risk, showing how teams secure cloud environments before an attack occurs. You’ll start with cloud governance: defining roles, measuring risk, managing data, building IR policies, setting usage guidelines, optimizing costs with FinOps, and using monitoring tools to maintain visibility. Then you’ll step into the attacker’s perspective through cloud threat modeling. Learn STRIDE, threat taxonomy, and prioritization to evaluate weaknesses, and deepen your insight with threat intelligence—IOCs, threat feeds, MITRE ATT&CK, and threat hunting. Next, explore automation with CSPM, SOAR, and CI/CD security, turning governance into continuous protection. Designed for cloud security beginners, analysts, and engineers, this course helps you think, design, and lead like a cloud security strategist.
Rice University
Business Applications of Hypothesis Testing and Confidence Interval Estimation
Confidence intervals and Hypothesis tests are very important tools in the Business Statistics toolbox. A mastery over these topics will help enhance your business decision making and allow you to understand and measure the extent of ‘risk’ or ‘uncertainty’ in various business processes. This is the third course in the specialization "Business Statistics and Analysis" and the course advances your knowledge about Business Statistics by introducing you to Confidence Intervals and Hypothesis Testing. We first conceptually understand these tools and their business application. We then introduce various calculations to constructing confidence intervals and to conduct different kinds of Hypothesis Tests. These are done by easy to understand applications. To successfully complete course assignments, students must have access to a Windows version of Microsoft Excel 2010 or later. Please note that earlier versions of Microsoft Excel (2007 and earlier) will not be compatible to some Excel functions covered in this course. WEEK 1 Module 1: Confidence Interval - Introduction In this module you will get to conceptually understand what a confidence interval is and how is its constructed. We will introduce the various building blocks for the confidence interval such as the t-distribution, the t-statistic, the z-statistic and their various excel formulas. We will then use these building blocks to construct confidence intervals. Topics covered include: • Introducing the t-distribution, the T.DIST and T.INV excel functions • Conceptual understanding of a Confidence Interval • The z-statistic and the t-statistic • Constructing a Confidence Interval using z-statistic and t-statistic WEEK 2 Module 2: Confidence Interval - Applications This module presents various business applications of the confidence interval including an application where we use the confidence interval to calculate an appropriate sample size. We also introduce with an application, the confidence interval for a population proportion. Towards the close of module we start introducing the concept of Hypothesis Testing. Topics covered include: • Applications of Confidence Interval • Confidence Interval for a Population Proportion • Sample Size Calculation • Hypothesis Testing, An Introduction WEEK 3 Module 3: Hypothesis Testing This module introduces Hypothesis Testing. You get to understand the logic behind hypothesis tests. The four steps for conducting a hypothesis test are introduced and you get to apply them for hypothesis tests for a population mean as well as population proportion. You will understand the difference between single tail hypothesis tests and two tail hypothesis tests and also the Type I and Type II errors associated with hypothesis tests and ways to reduce such errors. Topics covered include: • The Logic of Hypothesis Testing • The Four Steps for conducting a Hypothesis Test • Single Tail and Two Tail Hypothesis Tests • Guidelines, Formulas and an Application of Hypothesis Test • Hypothesis Test for a Population Proportion • Type I and Type II Errors in a Hypothesis WEEK 4 Module 4: Hypothesis Test - Differences in Mean In this module, you'll apply Hypothesis Tests to test the difference between two different data, such hypothesis tests are called difference in means tests. We will introduce the three kinds of difference in means test and apply them to various business applications. We will also introduce the Excel dialog box to conduct such hypothesis tests. Topics covered include: • Introducing the Difference-In-Means Hypothesis Test • Applications of the Difference-In-Means Hypothesis Test • The Equal & Unequal Variance Assumption and the Paired t-test for difference in means. • Some more applications
Creo Incubator
For Challenging Times
CREO For Challenging Times Course provides tools and techniques to help individuals cope with stress and uncertainty during difficult periods. Learners will learn mindfulness practices to strengthen present-moment focus and decision clarity under pressure, resilience-building strategies to maintain agency and forward progress, and practical ways to protect mental well-being in the face of adversity. Through frameworks, guided reflection, and real-world case examples, the course helps learners recognize early stress signals, regulate emotions, build supportive routines and relationships, and respond to challenges with greater calm, clarity, and stability. By the end of the course, learners will be able to apply simple, repeatable habits to manage pressure, reduce overwhelm, and sustain performance and wellbeing over time.
Universidad de los Andes
Visión artificial contemporánea
La visión por computador es una destreza indispensable en el mercado laboral, catalizando avances significativos en campos como la inteligencia artificial, la robótica y la automatización. Su uso transforma nuestra interacción con la tecnología, optimizando sistemas de producción y fomentando la innovación en la interacción humano-computadora. Nuestro curso brinda una comprensión detallada de esta tecnología, destacando su capacidad para procesar información visual en diversas tareas. Daremos un enfoque profundo a la composición y procesamiento de imágenes desde una perspectiva computacional, concentrándonos en aprendizaje profundo y Redes Neuronales Convolucionales (CNN) para la clasificación de imágenes. Exploraremos modelos avanzados como los Transformer Visuales y técnicas como aprendizaje auto-supervisado, Few-Shot learning, y Masked Autoencoders, abarcando la detección de objetos, segmentación de imágenes y calibración de cámaras. En etapas avanzadas, nos enfocaremos en la reconstrucción 3D, análisis de movimiento, flujo óptico y temas emergentes como el metaverso y la realidad aumentada. El curso se basa en un aprendizaje teórico, el cual es reforzado con un enfoque práctico basado en casos y aplicaciones de la visión por computador en el mundo real. Los estudiantes accederán a recursos variados como videos, lecturas y actividades, promoviendo un aprendizaje integral y aplicado de esta tecnología revolucionaria. ¿Para quién es este curso?: (qué perfil de entrada debería tener el estudiante que toma este curso) Este curso se dirige a cualquier persona que tenga interés en conocer de manera introductoria el área de la visión por computador y los avances contemporáneos que esta rama ha tenido en diferentes aplicaciones. Principalmente, está pensado para personas con por lo menos un título de pregrado en ingeniería y ciencias de la computación y es deseable que los estudiantes cuenten con conocimientos de básicos de programación. Sin embargo, cualquier persona que quiera estudiar esta área para aplicarla en su contexto puede tomar el curso.
ISC2
Foundations of Governance, Risk, and Compliance
Effective implementation of governance, risk, and compliance (GRC) programs requires specific cybersecurity talent and leadership. GRC professionals must utilize frameworks and best practices to integrate security and privacy within organizational objectives, better enabling stakeholders to make informed decisions regarding data security, compliance, supply chain risk management, and more. In this course, you will: - Relate GRC principles, responsibilities, and activities to frameworks, regulations, and requirements. - Identify the purpose, activities, and components of the scoping process. - Connect requirements, policies, management practices, and system capabilities that influence controls decisions. - Identify key steps and best practices for implementing security and privacy controls. - Summarize elements and processes involved in the assessment and audit of controls. - Consider the purpose and types of documentation and activities necessary to establish system compliance. - Identify activities and roles necessary to ensure effective monitoring and maintenance of system compliance. Who should take this course? IT, information security, and information assurance practitioners who have a need to understand or implement a comprehensive GRC program, including those in or pursuing the following positions: - Cybersecurity Auditor - Cybersecurity Compliance Officer - GGRC Architect - GRC Manager - Cybersecurity Risk & Compliance Project Manager - Cybersecurity Risk & Controls Analyst - Cybersecurity Third Party Risk Manager - Enterprise Risk Manager - GRC Analyst - GRC Director - Information Assurance Manager
Google Cloud
Developing a REST API with Go and Cloud Run
This is a self-paced lab that takes place in the Google Cloud console. Demonstrate how to build a REST API with Go and Cloud Run
University of Illinois Urbana-Champaign
Machine Learning and Human Learning
This course examines the differences between machine and human learning and the ways in which machines can complement human learning. It examines technical definitions of supervised and unsupervised machine learning, as well as broader views of mechanical intelligence able to replicate or exceed human intelligence. The course will also explore practical applications of learning analytics and artificial intelligence in learning management systems and other educational tools and critically interrogate the applications of AI in education. The course is designed to aspiring and current educators, and anyone who is interested in the intersection of human and machine learning, and AI applications in education.
Coursera
Premiers pas avec Studio de création Facebook
Dans ce projet guide d'une heure, vous apprendrez comment créer et publier du contenu Facebook , Importer des vidéos et diffuser en direct depuis Studio de création Facebook, Crossposter du contenu sur plusieurs Pages, Programmer, antidater et définir la date d’expiration d’une publication finalement comment Créer et gérer des pages Facebook dans le Studio de création. À la fin de ce projet, vous apprenez comment utiliser le Studio de création Facebook.
Coursera
TikTok Community: Engage & Build
In this course, you'll learn how to transform casual viewers into a loyal, engaged community. You'll explore advanced community management strategies using TikTok's enhanced messaging features and engagement tools. You'll discover how to optimize your hashtag strategy for maximum discoverability and learn proven techniques for meaningful audience interaction. By implementing the community-building strategies covered in this course, you'll create lasting connections that drive sustained growth and engagement.
University of California, Davis
Research Report: Delivering Insights
You have completed all the hard work of conducting your internal, secondary, and primary research. You have analyzed all the data and are able to formulate insights and recommendations based on your research proposal. But what is the best way to present your findings and be able to make a decision? In this course, you will discuss how to incorporate a story in your marketing presentation to help you capture the attention and gain support of stakeholders and business leaders. You will choose the most effective analytical method for delivering your insights and the best presentation method for your given audience. You will incorporate data visualization best practices and use tips and tricks when presenting to your various levels of decision makers and stakeholders.