The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
EDUCBA
Learn & Build Machine Learning Models with Python
By the end of this course, learners will be able to explain core machine learning concepts, prepare and analyze data using Python libraries, visualize insights effectively, and build and evaluate basic machine learning models using industry-standard tools. This beginner-friendly course is designed to provide a clear, structured pathway into machine learning with Python, making it ideal for students, aspiring data scientists, and professionals transitioning into data-driven roles. Learners start with foundational machine learning principles and gradually progress through numerical computing with NumPy, data manipulation with Pandas, and data visualization using Matplotlib. Unlike theory-heavy courses, this program emphasizes practical understanding and hands-on workflows, helping learners connect concepts to real-world applications. The course also introduces essential preprocessing techniques, Scikit-learn pipelines, and linear regression modeling, ensuring learners understand not just how to build models, but why each step matters. What makes this course unique is its step-by-step learning progression, well-structured modules, and assessment-aligned objectives, enabling learners to build confidence as they move from data preparation to model evaluation. Upon completion, learners will have a strong foundation to pursue advanced machine learning topics or apply their skills in real projects.
Saïd Business School, University of Oxford
Sustainable Finance: Products, Instruments and Future Trends
This course introduces you to the rapidly evolving world of sustainable finance and its transformative role in driving positive environmental and social impact. You'll explore how sustainable finance differs from traditional finance and discover the key products and instruments that are reshaping the financial landscape, from green bonds to sustainability-linked loans and impact investing. You'll learn how financial institutions are incorporating sustainability into their operations and how they're developing innovative products to meet growing investor demand. You'll examine the features and benefits of different sustainable finance instruments, understanding their potential to drive positive change while generating financial returns. The course covers both theory and practice, helping you understand not only the principles behind sustainable finance but also how these principles are applied in real business contexts. You'll learn how to evaluate the suitability of different sustainable finance solutions for specific organisational needs and explore the roles various stakeholders play in the sustainable finance ecosystem. This course is intended for individuals working in finance, accounting and those with sustainability, management or leadership roles who contribute to annual reports. By the end of this course you will be able to: - Define sustainable finance and its key components and strategies. - Identify the major drivers and trends shaping the growth of sustainable finance globally. - Evaluate the potential of sustainable finance products and tools (e.g., green bonds, ESG funds) to drive positive impact. - Analyse the roles and responsibilities of financial institutions in promoting sustainable development. - Compare and contrast the key features and benefits of different sustainable finance products and instruments. - Assess the suitability of different sustainable finance solutions for an organisation's specific needs and goals. - Examine case studies of successful sustainable finance transactions and their impact on businesses and society. - Develop a high-level sustainable finance strategy for an organisation, considering key risks, opportunities, and stakeholder expectations.
Coursera
Creating Routing Policies to Handle Traffic with AWS Route53
In this 2-hour long project based course, we will look at how to handle and divert website traffic to multiple servers using Routing Policies in AWS Route 53. We will look at how you can configure different types of Routing Policies. We will start off with Simple Routing Policy which can be used to divert traffic to multiple servers / IP’s randomly. Then we will look at Weight Routing Policy which allows you to split your traffic based on different weights assigned. We will then move on to Latency-based Routing which allows you to route your traffic based on the lowest network latency for your end user (fastest response time). Then we will learn to create an active/passive set up using Failover Routing Policy where you can have a primary website and a secondary Disaster Recovery site.. We will then look at Geolocation Routing Policy which will send your traffic to various servers based on the Geographic location of your users which can for example allow for custom sites based on user location. Finally, we will see Multi-Value Answer Policy which lets you configure Route53 to return multiple values along with health checks. 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.
L&T EduTech
Geospatial Information Technology Essentials
The "Geospatial Information Technology Essentials" course offers a multi-disciplinary approach, integrating key aspects of both Geospatial and Information Technology. Organized into seven comprehensive modules, it provides a thorough learning experience. Module One introduces the fundamentals of Geographic Information Systems (GIS), covering its applications, hardware requirements, data models, and attribute data types. Module Two delves deeper into GIS concepts, focusing on mapping essentials, data conversion techniques, and georeferencing. In Module Three, learners explore GIS database management, including basics of databases, RDBMS, SQL, and advanced geodatabase management. Module Four covers spatial analysis using GIS, with practical demonstrations of techniques like catchment area delineation, overlay analysis, and viewshed analysis. Module Five provides insights into geospatial IT, including enterprise GIS, web and mobile GIS technologies, and practical case studies. In Module Six, system integrations and decision support are discussed, with a focus on command and control center case studies, decision support systems, and open-source GIS projects. Module Seven introduces future trends in geospatial technologies, highlighting advancements in survey and mapping technologies, spatial analytics, and geointelligence. Join us on this journey into Geospatial Information Technology and equip yourself with the essential skills and knowledge to excel in this dynamic field! Target Learners: • Undergraduate students of Civil Engineering • Post-Graduate Students in Geoinformatics/ Remote Sensing/ Geospatial Engineering. • Practicing Engineers involved in geospatial applications in construction. • Faculties in Civil, Geospatial and Environmental Studies. • Professionals in GIS and Remote Sensing fields • Engineers and project managers involved in spatial data analysis Prerequisites: • Basic understanding of GIS principles and spatial data • Familiarity with computer operations and software usage • Software: ArcGIS
Starweaver
Change Management for GenAI Integration
This course prepares leaders and professionals to guide their organizations through the transformative adoption of Generative AI. Focusing on the human side of AI integration, you’ll learn how to manage change, align AI initiatives with business strategy, engage stakeholders, and build a culture of innovation. Through expert-led lessons, case studies, hands-on labs, and a capstone project, you’ll develop the skills to drive sustainable and responsible AI transformation. Designed for executives, project managers, HR/L&D leaders, IT and operations professionals, and anyone supporting AI implementation, the course equips you with practical frameworks and tools to overcome resistance and ensure long-term adoption. A basic understanding of AI concepts and organizational change processes is recommended. By the end, you’ll be able to lead AI-driven change with confidence, aligning technology with business goals to deliver lasting impact.
University of California, Davis
Google SEO Fundamentals
Gain a foundational understanding of search engine algorithms and how they influence organic search results and website performance. Building on this knowledge, you’ll explore the key components of a successful SEO strategy—including keyword selection and research, consumer psychology, and search behavior. The course also covers on-page SEO analysis techniques to uncover optimization opportunities. In addition, you’ll examine how AI is reshaping SEO—from content generation to algorithm updates—and how to adapt your strategy accordingly. Learn the latest best practices for building resilient, effective SEO strategies that align with current search trends, user expectations, and ethical guidelines in an increasingly automated search landscape.
Coursera
Interaction Architect: Dynamic Prototyping in Sketch
In this course, you'll elevate your skills through designing intuitive navigation and micro-interactions, implementing responsive design principles across devices, utilizing Sketch's advanced prototyping features for complex interactions, and developing a fully interactive, high-fidelity GreenLeaf Grocers app prototype. By the end, you'll master advanced prototyping techniques for creating captivating, responsive designs across platforms.
Nanjing University
计算机系统基础（一） ：程序的表示、转换与链接
本课程主要介绍高级语言程序中的数据类型及其运算、语句和过程调用等是如何在计算机系统中实现的。主要包含三个主题：（1）表示。不同数据类型（如带符号整数、无符号整数、浮点数、数组、结构等）数据在寄存器或存储器中的表示和存储；指令的格式、编码及其在存储器中的存储；存储地址（指针）的表示。（2）转换。高级语言程序中的过程（函数调用）、循环、选择等语句与机器级代码之间的对应关系。（3）链接。多个可重定位目标文件如何链接生成可执行目标文件并加载到系统中。 通过本课程的学习，使学习者能从程序员角度认识计算机系统，能够建立高级语言程序、ISA、OS、编译器、链接器等之间的相互关联，对指令在硬件上的执行过程和指令的底层硬件执行机制有一定的认识和理解，从而增强在程序调试、性能提升、程序移植和健壮性等方面的能力，并为后续的“计算机组成与设计”、“操作系统”、“编译原理”、“计算机体系结构”等课程打下坚实基础。 学完本课程后，学习者将对以下问题有比较深刻的认识，并能解决相关实际问题。 ----程序中处理的数据在机器中如何表示和运算？ ----程序中各类控制语句对应的机器级代码结构是怎样的？ ----多个程序模块是如何链接起来形成可执行目标文件的？ ----机器级代码及构成机器级代码的指令是如何在机器上执行的？
Fundação Instituto de Administração
Cadeia de Suprimentos na Nuvem
Nossas boas-vindas ao Curso Cadeia de Suprimentos na Nuvem. Neste curso, você aprenderá como o supply chain pode ampliar o valor da empresa explorando as diversas ferramentas disponíveis em cloud para potencializar a visibilidade e a responsividade da cadeia, melhorando o nível de serviço prestado aos clientes. Ao final deste curso, você será capaz de compreender os conceitos envolvidos na cadeia de suprimentos, incluindo o planejamento estratégico das cadeias, os novos modelos de negócio e as principais tecnologias envolvidas nessa gestão, com foco em automação e uso da rede em nuvem. Este curso é composto por cinco 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!
Coursera
Deploy, Evaluate and Create AI Systems
Course Description: Deploy, Evaluate, and Create AI Systems Did you know that nearly 70% of AI models never make it to production due to deployment issues like version conflicts, poor scaling, and downtime during updates? Reliable deployment is the key to transforming prototypes into production-grade AI systems. This Short Course was created to help ML and AI professionals deploy AI systems reliably in production, optimize deployment costs and performance, and implement zero-downtime release strategies for mission-critical AI services. By completing this course, you will be able to analyze, evaluate, and create scalable AI deployment pipelines using containerization, cloud orchestration, and blue-green deployment methods—skills you can immediately apply to ensure seamless, high-performance model releases. By the end of this course, you will be able to: • Analyze dependency graphs and container configurations to detect version conflicts. • Evaluate performance, latency, and cost metrics across deployment targets. • Create a blue-green deployment strategy for zero-downtime model upgrades. This course is unique because it blends DevOps principles with AI engineering, giving you practical experience in managing version control, optimizing system performance, and achieving continuous AI delivery without service interruptions. To be successful in this project, you should have: • Docker containerization experience • Cloud deployment fundamentals • Basic Kubernetes knowledge • ML/AI model deployment concepts
Johns Hopkins University
A Public Health Approach to Hearing Loss and Aging
At the Johns Hopkins Cochlear Center for Hearing and Public Health, we are dedicated to training up the next generation of clinicians and researchers to study the impact that hearing loss in older adults has on public health and to develop and implement public health strategies and solutions for hearing loss. The Center is proud to present this course which introduces a public health approach to aging and hearing population-based research, reviews the state of public health policy and ongoing interventions, and discusses the current epidemiologic research linking hearing loss to cognitive and healthcare outcomes in older adults, including dementia. Learners will be hearing from Johns Hopkins faculty and researchers who will speak on their expertise in areas of otolaryngology, audiology, epidemiology, gerontology, and public health policy/economics.
Coursera
Identify, Document, and Escalate Supplier Risks
This course provides a foundational framework for managing supplier risk, an essential competency for anyone in procurement, supply chain, or operations. In a world where supply chain disruptions can have immediate and significant consequences, knowing how to proactively identify, systematically document, and appropriately escalate risks is critical. This course is designed for beginners and will equip you to analyze the primary categories of supplier risk, including delivery delays, quality failures, and financial instability. You will learn through a practical, hands-on approach, engaging with real-world case studies from the automotive and food industries to understand the impact of supplier failures. The curriculum accurately and clearly guides you through the essential, structured processes for documenting operational incidents. You will also master how to navigate organizational policies to initiate the correct escalation procedures, ensuring the right people address the issues at the right time. By the end of the course, you will build a comprehensive Supplier Risk Management Portfolio that demonstrates your ability to protect supply chain integrity and prove your readiness for real-world procurement challenges.
Coursera
Nursing Leadership: Cultural Competence and Diversity
Great nurse leaders don't just deliver care—they shape the systems and cultures that make equitable care possible. This course equips nurse managers, charge nurses, and clinical leaders with practical tools to lead diverse teams and build inclusive care environments. You'll learn how to apply cultural competence in your leadership decisions, communication practices, and team workflows using proven frameworks like the CLAS standards. You'll explore how cultural identity affects patient care and team dynamics and gain strategies for leading with respect, responsiveness, and clarity. You'll develop the skills to recognize bias, foster equity, and lead meaningful change in your care setting through real-world case studies, reflective activities, and hands-on planning exercises. Whether you're supporting a multilingual staff, caring for culturally diverse patients, or rethinking how your unit approaches inclusion, this course will help you lead with cultural awareness, intentionality, and impact.
Universitat Autònoma de Barcelona
Enseignement supérieur et entrepreneuriat
L’enseignement supérieur évolue constamment. Le contexte actuel oblige les universités et des autres institutions d’enseignement supérieur à progresser vers un modèle qui incorpore des nouveaux mécanismes d’apprentissage de leurs étudiants, avec une orientation spécialement dirigée vers la formation de professionnels qui deviendront des agents pour la transformation de la société. Dans ce contexte, le développement de la compétence entrepreneuriale est spécialement pertinent. Est-ce que vous voulez savoir pourquoi promouvoir cette compétence entre les étudiants est important ? ¿Comment pouvons-nous l’encourager depuis les institutions d’enseignement supérieur ? Le cours s’adresse au personnel académique et technique, et aux responsables des institutions d’enseignement supérieur qui veuillent apprendre des méthodologies de développement de compétences pour les étudiants, surtout, la compétence entrepreneuriale, avec le cas pratique de l’Université Autonome de Barcelone comme base. Dans le cours vous apprendrez les éléments basiques de l’enseignement supérieur basé sur des compétences et aussi comment la compétence entrepreneuriale peut être développée dans le collectif d’étudiants, avec des diplômes universitaires ou dans l’institution elle-même. Les vidéos de ce MOOC sont en espagnol, sous-titrées en français.
Cisco Learning and Certifications
Implementing MPLS Traffic Engineering
Unlock the full potential of your networking knowledge with our comprehensive course on MPLS Traffic Engineering (TE). This course offers a deep dive into the essential components of MPLS TE, guiding you through traffic tunnel attributes, tunnel path discovery with link-state routing protocols, and tunnel setup signaling utilizing RSVP. You’ll gain hands-on experience with commands, syntax, and practical techniques for both implementing and monitoring MPLS TE tunnels, while exploring advanced topics like link attribute propagation with IGPs and constraint-based path computation. Additionally, you’ll develop expertise in path setup, path maintenance, and the assignment of traffic to MPLS TE tunnels. What sets this course apart is its focus on real-world configuration and troubleshooting: you will not only learn foundational theory, but also practice with industry-relevant commands and monitoring tools to ensure TE functionality in live MPLS networks. By the end, you’ll have the skills to confidently design, implement, and maintain MPLS TE tunnels, making you a valuable asset in any advanced networking environment.
Packt
Copilot in Microsoft 365 for Beginners
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 comprehensive course, you will master how to harness the full potential of Microsoft Copilot across multiple apps in Microsoft 365. From automating tasks in Excel and generating insightful data analyses, to improving communication in Outlook and enhancing your presentations in PowerPoint, this course covers it all. With practical exercises designed to solidify your understanding, you'll learn how to increase productivity and make the most out of your Microsoft 365 suite. The course starts by introducing you to Copilot’s capabilities and how it integrates with essential Microsoft tools like Word, Outlook, and Teams. You'll dive into each tool, exploring step-by-step how Copilot can assist in drafting documents, organizing emails, formatting data, and even creating visual content. With real-world examples and hands-on exercises, you will gain the confidence to implement these tools effectively. Whether you’re looking to improve your productivity at work or enhance your personal projects, this course is perfect for anyone who wants to integrate AI-powered assistance into their workflow. No prior experience with Microsoft 365 or Copilot is required, making this course ideal for beginners. The difficulty level is beginner-friendly, and all you need is a desire to streamline your work processes with cutting-edge technology. By the end of the course, you will be able to leverage Copilot in Microsoft 365 to automate tasks, create professional documents, manage emails efficiently, and collaborate seamlessly across Microsoft tools.