The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
Universidad de los Andes
Analítica financiera
Conforme las organizaciones complejizan sus modelos de negocios, se requieren más personas con habilidades en el análisis de datos y la construcción de modelos estadísticos que faciliten la toma de decisiones financieras en escenarios con riesgo. En este curso, se presenta una visión general de los métodos de analítica en finanzas que se aplican en la actualidad. Se da primeramente, una introducción a la analítica financiera estableciendo la relación entre la transformación de datos y la generación de valor, entendiendo primeramente las diferencias entre los tipos de datos usuales para identificar modelos, técnicas y tipos de problemáticas que resuelven. Posteriormente, nos introduciremos en las series financieras, entenderás sus componentes, así como la relevancia de las diferentes métricas de error dentro de la muestra y los de pronóstico para la selección de modelos. Aprenderás los conceptos básicos del aprendizaje automático y los modelos usuales en finanzas; con ello en mente, estudiaremos y aplicaremos los principios de las redes neuronales para predecir comportamientos de las series financieras. Finalmente, entenderemos las principales métricas de riesgo financiero y su relación con el rendimiento de activos. Bajo este contexto, se realizarán aplicaciones a modelos descriptivos y predictivos contemplados en modelos econométricos y de aprendizaje automático. Este curso está pensado para personas de diferentes disciplinas que quieren adentrarse en el mundo de la analítica de datos aplicado a finanzas, quienes reconocen que el desarrollo de habilidades de análisis para el entendimiento y aplicación de los enfoques estadísticos descriptivos, de diagnóstico y de predicción en finanzas son relevantes hoy en día. Este curso está pensado para personas con por lo menos un título de pregrado con conocimientos intermedios en probabilidad y estadística. El aspirante a tomar este curso puede provenir de cualquier campo del conocimiento, desde el gobierno, la industria, la consultoría y la academia. Este curso requiere de la instalación de R y R-Studio, es recomendable que el equipo cuente con más de 8 GB de RAM y espacio en disco duro superior a 1 GB.
EDUCBA
Master Keying Techniques in After Effects
Learners will apply essential keying tools, analyze luminance-based workflows, evaluate advanced matte controls, and refine complex edge details to produce clean, professional composites in Adobe After Effects. This course equips learners with the practical skills needed to remove green screens, manage spill, integrate backgrounds, and create visually seamless results—core competencies for video editors, motion designers, and VFX artists. Through a clear two-module structure, the course begins with foundational keying methods, introducing color and luma keying along with basic spill suppression to build confidence with real-world footage. Learners then progress to professional-grade workflows using Keylight and advanced spill suppression, mastering techniques used throughout the visual effects industry. What makes this course unique is its step-by-step breakdown of actual production tasks, subtitle-supported demonstrations, practice and graded quizzes, and progressively layered lessons that reinforce mastery. By the end of the course, learners will have a complete, industry-aligned keying workflow they can apply immediately to enhance any compositing project.
Google Cloud
Networking in Google Cloud: Defining and Implementing Networks 日本語版
この自習式トレーニング コースでは、Google Cloud のネットワーキング オプション全般について学習します。録画された講義、デモ、ハンズオンラボを通して、Google Cloud Virtual Private Cloud（VPC）ネットワーク、サブネット、ファイアウォールなどの Google Cloud ネットワーキング テクノロジーについて学び、演習を行います。また、ネットワークへのアクセス制御、ネットワークの共有、ロード バランシングについても取り上げます。
EDUCBA
Deploy Applications with Docker: Build Real-World Projects
By the end of this course, learners will be able to analyze multi-tier application architectures, implement containerization for frontend, backend, and database services, configure persistent storage using Docker volumes, and deploy real-world applications using Docker and Docker Compose. This course provides a hands-on, project-driven approach to mastering Docker for application deployment. Learners will work through a complete real-world setup that includes a Spring Boot backend, a frontend application, PostgreSQL and MySQL databases, and a WordPress deployment. Rather than focusing only on commands, the course emphasizes why and how Docker is used in professional environments. What makes this course unique is its practical structure: each concept is immediately applied to a working application stack. Learners gain experience with container orchestration, data persistence, environment configuration, and image management—skills that are directly transferable to real DevOps and cloud roles. By completing this course, learners will build confidence in deploying, managing, and maintaining containerized applications, making them job-ready for modern software development and DevOps workflows.
Nanjing University
计算机操作系统
1946年第一台计算机面世之后，科学家与工程师们一直致力于让计算机更好地为人类工作，一代又一代操作系统因此应运而生。操作系统是计算机系统的灵魂，它管理计算机系统的资源，提供友善的人机互动，对于每一位计算机用户来说，认知和理解操作系统非常重要。 南京大学是中国最早从事，操作系统研发与教学的单位，1980年在中国首先出版了操作系统教程教材，至2014年该教材已更新至第五版。 本课程的教学组织为六个部分：计算机操作系统概述、处理器管理、存储管理、设备管理、文件管理、并发程序设计。学习者能够认知操作系统的基本概念与实现原理，并深入理解操作系统的设计方法与实现技术。 如果您是计算机科学、软件工程、电子、通信、控制、信息系统、电子商务、计算与信息科学等信息技术相关专业的学生，可以系统地学习本课程基本部分的内容，如果您想致力于操作系统的研发工作，可以进一步学习高级部分的内容；此外 如果您是计算机爱好者， 可以根据自己的需要，按需学习本课程相关部分的内容，建立对计算机操作系统整体或部分的认知。 本课程有三个特点：第一，强调计算机软硬件协同设计技术，讲授操作系统各个模块的实现方法、策略与算法；第二，从大型软件系统构造的角度看待操作系统的实现，训练学生以折中的方法和方案，综合解决宏观问题的能力；第三，采用工程师的立场，强调操作系统的构造特征，即概念大于理论、技术大于算法、整体先于局部，培养学生综合解决实际问题的能力。欢迎大家修读本课程！
Coursera
Verify Fixes and Analyze Quality Metrics
Have you ever experienced that sinking feeling? A developer on your team confidently declares a critical bug "fixed." The project manager, under pressure to meet a deadline, urges you to sign off on it. You run a quick check, and it seems to work; the ticket is then moved to "Done." However, days or weeks later, the "zombie bug" returns, reappearing in the live production environment and impacting real users. The fallout is immediate: customer trust is eroded, your team has to drop everything for an emergency patch, and everyone is left wondering, "How did this happen again?" This cycle of incomplete fixes and recurring defects is one of the most frustrating and costly problems in software development. It’s a sign that the bridge between "fixed" and "verified" is broken. At the same time, you are asked in a team meeting, "Is the quality of our product getting better?" You feel like it is. The team is working hard, and you're closing a lot of tickets. But feelings aren't data. You don't have the numbers to back it up. You can't definitively say whether you're introducing new bugs faster than you're fixing old ones, or if the average time to resolve a critical issue is shrinking or growing. You are stuck in the weeds of individual tasks, unable to see the forest for the trees. This is where you transform from a participant into a leader. Verify Fixes and Analyze Quality Metrics is a beginner-level course designed to make you the trusted gatekeeper of quality on your team. It is your essential guide to mastering the final, critical steps of the software development lifecycle—the steps that ensure quality is not just an aspiration, but a measurable reality. This course will equip you with a two-part skillset: the meticulous, micro-level discipline of verifying a single fix, and the strategic, macro-level ability to analyze the health of your entire project. Our journey begins with the art of verification. You will master a structured, real-world workflow for ensuring that a defect is truly, completely, and permanently resolved. We move beyond simple "pass/fail" testing. Through hands-on, simulated exercises, you will learn to approach a defect ticket like a detective. You will learn to: - Deconstruct the Ticket: Understand the original bug report, paying close attention to the "steps to reproduce" to ensure you are testing the exact scenario the user experienced. - Plan Your Retest: Go beyond the original steps. What are the edge cases? Could this fix have broken something else? You'll learn to think critically about the potential impact of the change. - Execute a Clean Retest: You'll practice the verification process in a simulated environment, confirming the fix on a clean build, just as you would in a real-world staging or QA environment. - Provide Clear, Actionable Feedback: You will learn what to do when a fix isn't successful. You’ll practice reopening a ticket with clear, concise comments, screenshots, and logs that help the developer understand the issue without friction or ambiguity. - Confidently Close the Loop: Finally, you will experience the satisfaction of moving a ticket to "Closed," knowing you have done your due diligence. You will learn how this action provides a clear and auditable record of resolution that builds trust across the entire team. However, this course recognizes that true quality assurance goes beyond single tickets. Once you have mastered the art of verifying individual fixes, we will zoom out to the science of quality analysis. You will learn how to interpret fundamental QA data to provide a clear, objective snapshot of your project's health. We will demystify the quality dashboard. Using case studies and expert-led video demonstrations of a simulated dashboard, you will explore how to analyze key metrics that tell a story: - Bug Creation vs. Resolution Rates: Are we finding bugs faster than we can fix them? This simple ratio is a powerful indicator of whether you are gaining or losing ground on technical debt. - Average Resolution Time: How long does it take for a bug to go from "Reported" to "Closed"? Is this trend improving over time? This metric helps you understand your team's efficiency and identify process bottlenecks. - Defect Severity and Density: Are most of our bugs minor inconveniences, or are we consistently finding critical, show-stopping issues? Are bugs clustered in a particular feature, suggesting a fragile part of the codebase that needs more attention? - Reopen Rate: What percentage of "fixed" bugs are coming back? This is the ultimate measure of your verification process's effectiveness and a key indicator of your team's quality maturity. By the end of this course, you will have a comprehensive skill set that makes you an invaluable asset to any development team. You will not only be able to confidently close the loop on individual fixes, preventing "zombie bugs" from ever reaching your users, but you will also be able to step back and use quality data to tell a compelling story about your project. You will be able to walk into any meeting and contribute to informed, data-driven decisions, answering not just "Is this one bug fixed?" but "What is the true state of our product's quality?"
Coursera
Mural para principiantes
Este proyecto te permitirá descubrir Mural, una plataforma en línea para trabajar en equipo y compartir información. Descubrirás las diversas características de la plataforma y podrás organizar tus ideas e informaciónes. Tendrás todas las habilidades básicas para usar Mural y organizar visualmente tus informaciónes. Aprenderás a usar Mural para clasificar y organizar visualmente tus ideas o las informaciónes que tienes con tu equipo. Este proyecto es para personas que deseen mejorar su productividad y trabajar de forma remota.
EDUCBA
Master Advanced Ownership Accounting & Deconsolidation
Learners will analyze ownership-interest changes, apply equity adjustments, and evaluate deconsolidation and discontinued-operation scenarios using real-world accounting rules. This course equips learners with the skills to interpret how ownership shifts, NCI movements, and loss of control affect consolidated financial statements under IFRS and US GAAP. Throughout the course, learners benefit from a structured progression—from foundational concepts to advanced ownership transactions and complex deconsolidation events. They gain practical insights into how equity reallocations occur, how retained investments are measured at fair value, and how discontinued operations are identified and reported. What makes this course unique is its hands-on, example-driven approach, allowing learners to move beyond theory and confidently apply standards to realistic consolidation scenarios. Step-by-step explanations, focused lessons, and practice activities help learners build mastery in a technical area that is often challenging to navigate. By completing this course, learners develop the expertise needed to handle sophisticated consolidation adjustments, support audit or reporting functions, and strengthen their professional accounting capabilities.
Packt
AWS Networking, Compute & IAM Architecture
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 explore AWS networking, compute, and IAM architecture. You’ll learn how to configure and manage key services such as VPC, EC2, IAM, and Elastic Load Balancing (ELB). Topics like VPC peering, security groups, network configuration, and VPN setup will also be covered. The course offers hands-on labs where you'll implement real-world AWS solutions, including EC2 instance management, VPC setup, IAM configurations, and DNS services like Route 53. You will also learn to manage security with IAM policies, multi-factor authentication, and encryption best practices. This course is ideal for cloud architects, network engineers, and IT professionals aiming to build secure, scalable cloud infrastructures. By the end of the course, you will be able to design secure AWS architectures, manage VPCs and EC2 instances, implement IAM policies, and configure autoscaling and load balancing.
Coursera
AI Tools for Seller
Creating confident, AI-enabled selling practices requires more than adopting new tools; it requires understanding how conversational signals translate into actionable insight. In this hands-on, intermediate-to-advanced course, learners explore how conversational-AI plugins and AI meeting assistants support discovery calls by surfacing signals related to engagement, sentiment, intent, and deal momentum. Through short instructional videos, guided Coach dialogues, focused readings, hands-on learning activities, and scenario-based assessments, learners practice interpreting AI-generated call outputs and extracting meaningful deal-progress indicators. Rather than treating AI outputs as conclusions, learners develop an insight-first mindset that emphasizes context, interpretation, and professional judgment. The course focuses on using conversational AI as decision support, helping sellers recognize patterns, ask better questions, validate assumptions, and evaluate next steps responsibly. Designed for experienced sellers and sales leaders, this course builds confidence in applying conversational AI within real sales workflows, strengthening discovery conversations, improving deal evaluation, and reinforcing seller accountability in AI-supported decision-making.
Coursera
خدمات عروض غوغل التقديمية
تتعرف عزيزي المتعلّم/الطالب في هذه الدورة التدريبية على ثلاث خدمات وهي التعرّف على عروض غوغل التقديمية والخدمات الأساسية، كيفية استخدام كافة الخدمات الموجودة في عروض غوغل وكيفية إنشاء شرائح فعالة باستخدام خدمات عروض غوغل. بعد الانتهاء من الدورة ستتمكن من إنشاء عرض معلوماتي فعّال ومميّز باستخدام خدمات عروض غوغل التقديمية.
Duke University
Creating an Impact Investment Ask
How does an impact entrepreneur make a compelling case for investment? This course teaches you how to assess a venture’s readiness for impact capital by examining two essential dimensions: business growth and impact. On the business side, you’ll use a diagnostic tool to evaluate seven key elements that drive growth and understand how investors assess profitability through unit economics. On the impact side, you’ll learn a four-step framework for building strong impact management practices that meet investor expectations. By the end of the course, you’ll know how to integrate these insights to clearly articulate and justify your capital ask confidently and credibly. This course is designed for aspiring and current impact entrepreneurs or managers, aspiring impact investors learning how to evaluate impact ventures, and any learner interested in how businesses can generate a positive impact. This course requires no prior experience. We break down complex ideas into accessible language, define key terms, and provide practical tools and templates to support your learning and application.
Coursera
Success with Integrity: Business Ethics Foundation
Businesses around the world are reckoning with the impact of their ethical, or unethical, behavior on their bottom line as consumers seek to align their customs with businesses sharing their ethical outlook. This is a stimulating course designed for beginner or intermediate learners who wish to deeply consider the role of ethics in the modern business environment. This course spans multiple lessons ranging from the evolution of ethics and its foundational frameworks and diving into the most common ethical dilemmas facing businesses today. This course asks learners to deeply engage with the material by considering the presented ethical frameworks in the context of a hypothetical business dilemma and choosing an ethical course of action. Through deep framework understanding and use of tools for ethical decision-making, learners will be empowered to use ethical frameworks in their personal and professional lives thus protecting and improving the perception of their brand. Upon completing this course, learners will confidently navigate complex ethical scenarios as they arise in their personal or professional lives; they will be able to act in ways that are carefully considered and driven by ethical frameworks that align with their goals for success. This program is designed for anyone interested in improving their understanding of ethics and actively choosing to establish an ethical decision-making framework. Learners should ideally possess the following prerequisite skills: basic communication skills; language proficiency; critical thinking; basic empathy; conflict awareness; open-mindedness; and an active learning mindset.
Starweaver
Advanced Strategic Threat Intelligence Research & Reporting
In this course, you will dive into the core aspects of threat intelligence, learning to identify and analyze a wide range of cyber threats such as ransomware, identity theft, and business email compromise. The course is designed for intermediate learners and covers intelligence collection methodologies like OSINT, HUMINT, and SIGINT, helping you gain expertise in understanding the tactics, techniques, and procedures (TTPs) of adversaries. You’ll explore threat actor landscapes and gain insights into advanced persistent threat (APT) campaigns, using frameworks like MITRE ATT&CK and applying NIST 800-53 security controls to protect both business assets and personal data. Along with technical analysis, you’ll develop key communication skills to present your findings effectively to both technical teams and non-technical stakeholders, including executives and decision-makers. The course emphasizes report-writing and oral presentations, teaching you to communicate complex intelligence clearly and persuasively. You will leave with the skills to transform threat data into actionable intelligence, enabling you to make informed decisions and drive security initiatives that protect organizations from evolving cyber risks. This course is ideal for IT and cybersecurity professionals looking to elevate their skills in threat detection, incident response, and security architecture. It also caters to Chief Information Security Officers (CISOs) and security leaders aiming to update their strategies for managing evolving threats. Business executives, including CEOs and other senior leaders, will benefit from understanding cybersecurity risks and compliance, while cybersecurity analysts seeking advanced investigative and analytical techniques will find this course essential for career growth. To get the most out of this course, participants should have a beginner-level understanding of IT or cybersecurity, along with familiarity in basic networking and security concepts. While certifications like A+, Network+, or Security+ are helpful, they are not mandatory for enrollment. The course is designed to build on foundational knowledge, making it accessible to those with some prior experience in the field. By the end of this course, learners will be able to differentiate between data, intelligence, and threats, and identify reliable sources for threat data collection. They will also learn to apply intelligence collection methodologies to analyze and correlate threat data, evaluate threats across multiple sources, and conduct risk assessments. Additionally, learners will be able to craft strategic intelligence reports tailored to different audiences, effectively communicating complex findings through data storytelling techniques.
University of Illinois Urbana-Champaign
Moving Beyond Basics: Dairy Nutrition and Diet Formulation
This course offers a comprehensive exploration of dairy cattle nutrition, focusing on feeding strategies for cows, calves, and heifers. Students will learn to formulate diets, identify key nutritional markers, and understand the impact of dietary choices on health and reproduction. The course covers colostrum management, liquid feeding strategies, and nutrient interactions to optimize dairy cow productivity. Expert instructors guide learners through practical applications, ensuring a thorough understanding of feeding practices during critical periods like the transition phase. This course is part of the College of ACES suite of online programs, including the graduate certificate, "Dairy Nutrition for Udder Success" that can be stacked toward an advanced degree in the College of ACES. To learn more about online programs from the College of ACES and explore ways to apply your Coursera work toward a degree program at the University of Illinois, visit ACES Online at acesonline.illinois.edu.
Coursera
Deploy Vector DBs Securely
"Deploy Vector DBs Securely" is an intermediate course for developers and ML engineers who are ready to move their AI applications from a local machine to a production environment. Knowing how to use a vector database is one thing; deploying it securely and reliably is the critical next step. This two-hour, hands-on course provides the essential last-mile skills needed for production readiness. Focused entirely on real-world job tasks, you will learn to lock down your data pipeline. You'll containerize a vector database like Chroma or Weaviate using Docker, push it to a registry, and secure it with TLS encryption and Role-Based Access Control (RBAC). You will then master the operational side by setting up Grafana dashboards to monitor cluster health and analyzing performance data to configure autoscaling policies. By the end, you will have the confidence to deploy, manage, and scale vector databases in line with enterprise-grade best practices.