The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
SkillUp
Practice Exam for Certified Scrum Master (CSM) Certification
This course provides an overview of the Scrum Alliance Certified Scrum Master (CSM) certification. We will share the process required to qualify for the exam, specific education requirements, and exam specifics. We will wrap up the course with a 50-question mock exam designed to prepare you for the CSM certification test. Becoming a CSM is the beginning of your Agile journey and the first step along a path of continual learning. Passing the CSM examination can open many doors, and this course will ensure you are more than ready to achieve a passing score.
Dartmouth College
Machine Learning with Neural Networks
This course explores the principles of machine learning through the lens of one of its most powerful and versatile model classes: the artificial neural network. We will cover the fundamental machine learning concepts of modeling, training, and generalization. You will learn how to process the input data with feed-forward operations, how to train a neural network model using gradient-based optimization and the backpropagation algorithm, and how to ensure it performs well on new data using regularization. In the final module, we discuss Bayesian neural networks, learning how to build models that not only make predictions but also quantify their own uncertainty.
EDUCBA
Agile Scrum: Apply, Analyze & Certify as Scrum Master
This comprehensive course equips learners with the practical knowledge and critical thinking skills required to apply, analyze, and evaluate Agile Scrum principles across real-world project scenarios. Structured into two in-depth modules, the course introduces the foundational values of Agile and Scrum before advancing to operational controls, metrics, and certification strategies. Through immersive lessons, learners will define and describe Scrum artifacts, roles, and events; differentiate Agile methods from traditional frameworks; and demonstrate Sprint execution and team collaboration strategies. In later modules, they will examine control mechanisms, resolve impediments, interpret burndown metrics, and prepare effectively for Scrum Master certification exams. By the end of the course, learners will be able to: • Apply Scrum methodologies to manage iterative product development • Analyze team performance using Agile metrics and Scrum artifacts • Evaluate and resolve real-time project impediments • Interpret exam domains and demonstrate readiness for certification Whether you’re new to Agile or preparing for professional certification, this course will help you build a strong operational and conceptual foundation to succeed as a Scrum Master in Agile teams.
University of Illinois Urbana-Champaign
Exploring and Producing Data for Business Decision Making
This course provides an analytical framework to help you evaluate key problems in a structured fashion and will equip you with tools to better manage the uncertainties that pervade and complicate business processes. Specifically, you will learn how to summarize data and learn concepts of frequency, normal distribution, statistical studies, sampling, and confidence intervals. While you will be introduced to some of the science of what is being taught, the focus will be on applying the methodologies. This will be accomplished through the use of Excel and data sets from different disciplines, allowing you to see the use of statistics in a range of settings. The course will focus not only on explaining these concepts, but also understanding and interpreting the results obtained. You will be able to: • Summarize large data sets in graphical, tabular, and numerical forms • Understand the significance of proper sampling and why one can rely on sample information • Understand why normal distribution can be used in a wide range of settings • Use sample information to make inferences about the population with a certain level of confidence about the accuracy of the estimations • Use Excel for statistical analysis This course is part of Gies College of Business’ suite of online programs, including the iMBA and iMSM. Learn more about admission into these programs and explore how your Coursera work can be leveraged if accepted into a degree program at https://degrees.giesbusiness.illinois.edu/idegrees/.
EDUCBA
Master IT Budgeting: Analyze, Forecast & Optimize
Learners will analyze IT financial structures, apply forecasting techniques, and evaluate multi-year performance to build accurate and strategic budgets. They will construct consolidated budgets, allocate costs effectively, and formulate data-driven recommendations that support organizational decision-making. This course equips learners with the complete toolkit needed to excel in IT budgeting—from foundational assumptions to advanced allocation models. Through real-world examples, multi-year analyses, and step-by-step forecasting techniques, learners gain practical skills to interpret revenue trends, assess cost behavior, and manage software and shared services expenses. They also develop the ability to consolidate financials across business units and extract insights that enhance profitability. What makes this course unique is its end-to-end coverage of the IT budgeting lifecycle, combining technical accuracy with strategic thinking. Each module translates complex financial concepts into accessible, industry-relevant workflows, ensuring learners can confidently navigate budgeting challenges in modern IT organizations. By the end, learners will be prepared to contribute meaningfully to financial planning, forecasting, and performance evaluation within the IT sector.
HRCI
Compliance and Risk Management
This course introduces risk management and compliance strategy. You will examine risk assessment and learn how to have a risk management mindset. You will learn different types of compliance, including legal and safety compliance, and its role in operational policies. You will also explore the role Human Resources has in organizational restructuring. By the end of this course, you will be able to: ● Explain the criticality of compliance for the ongoing operations and sustainability of an organization ● Explain, implement, and apply compliance for an organization ● Explain and identify key laws and procedural requirements necessary for compliance ● Explore HR’s role in organizational restructuring such as in mergers, acquisitions, and rightsizing ● Explain and identify key operational activities which require formal risk management policies and procedures No prior experience in Human Resources is needed to be successful in this course.
Simplilearn
Introduction to Six Sigma Training
This comprehensive Six Sigma and Lean course equips you with the skills to drive quality improvement, reduce operational waste, and align process initiatives with business goals. Begin by mastering Six Sigma fundamentals, understand the DMAIC process, project structures, and how to link initiatives to organizational metrics. Dive into Lean principles, exploring the Three Ms, Theory of Constraints (TOC), and Value Stream Mapping. Advance your capabilities with Design for Six Sigma (DFSS), using tools like Quality Function Deployment (QFD) and Failure Modes and Effects Analysis (FMEA) to proactively embed quality into product and process design. You should have a background in business operations, quality assurance, or project management, and a working knowledge of process improvement concepts. By the end of this course, you will be able to: - Apply Six Sigma: Use DMAIC and align quality projects with strategic business goals - Implement Lean Practices: Eliminate waste with TOC, VSM, and Lean process tools - Design for Quality: Apply DFSS principles to product and process development - Use Quality Planning Tools: Leverage QFD and FMEA for risk reduction and innovation Ideal for quality managers, process improvement professionals, and operations leaders.
Knowledge Accelerators
Microsoft 365 Copilot AI: Excel, Word, Teams, Outlook +
Unlock AI-powered productivity with Microsoft Copilot. This beginner-friendly course shows you how to transform everyday work using Microsoft Copilot across six core Microsoft 365 apps: Word, Excel, PowerPoint, Outlook, Teams, and OneNote. Why This Course Matters Emails, meetings, documents, and data tasks consume much of the modern workday. Microsoft Copilot helps automate repetitive work, summarize information, and surface insights so you can focus on higher-value tasks instead of manual effort. Career Impact Professionals who use Copilot report faster turnaround on routine work and clearer communication across teams. Copilot skills are increasingly expected in business, administrative, and analytical roles, making this a practical addition to your resume. What You’ll Learn • Navigate the Microsoft 365 homepage and access Copilot • Use Copilot to draft, summarize, and format documents in Word • Analyze data, apply formulas, and create visuals in Excel • Create and refine presentations in PowerPoint • Draft, prioritize, and summarize emails in Outlook • Prepare for and recap meetings in Teams • Organize notes and ideas efficiently in OneNote What Makes This Course Unique ✔ Covers six major Microsoft apps in one course ✔ Hands-on practice with real workplace scenarios ✔ Practical focus on emails, meetings, documents, and automation ✔ Designed for busy professionals: Complete in just 4 hours Who Should Take This Course? • Office professionals and knowledge workers • Business analysts, project managers, and administrative staff • Beginners ready to apply Copilot in daily workflows • Anyone using Microsoft 365 who wants to work more efficiently Enroll now and start using Microsoft Copilot to work smarter, faster, and with greater clarity.
Kennesaw State University
Dominant Risk Management Standards and Frameworks
Organizations with little experience in risk management will want to look to national and international organizations for guidance in designing and implementing their risk management efforts. There are two dominant organizations that offer guidance in this area: the U.S. National Institute for Standards in Technology (NIST) and the International Standards Organization. This course examines the risk management frameworks and standards offered by these organization and then discusses other available approaches. The course concludes with a discussion of applications and tools to support the organization’s risk management effort.
Coursera
Optimize and Track SEO
Is your website a ghost town? It's time to stop guessing and start optimizing. Optimize and Track SEO is a 130-minute course for marketers and content managers who need to improve their site's relevance and strategically respond to performance data. Drawing on industry-standard frameworks from Moz, you'll master the foundational practice of on-page SEO, learning to craft optimized H1 tags, meta descriptions, and internal linking structures that tell search engines exactly what your content is about. Then, using principles from platforms like SEMrush, you'll learn to interpret keyword ranking reports, evaluate performance against goals, and—when growth stalls—propose powerful remediation actions, like the backlink strategies championed by experts at Backlinko. This course culminates in you creating a full SEO action plan, proving you can both improve a page and drive its long-term success.
Packt
Building Secure Automotive IoT Applications
The automotive industry is undergoing a rapid digital transformation, driven by the convergence of IoT and cybersecurity. This course empowers developers to build secure, scalable automotive IoT systems, enabling safer and smarter connected vehicles that meet evolving industry demands. Learners will understand how embedded systems, data, and security intersect to define the future of automotive innovation. Throughout the course, learners will gain hands-on experience in developing robust IoT solutions for vehicles, from designing vehicle architectures to implementing cybersecurity measures and ensuring compliance with automotive standards. Practical examples and exercises will help translate theoretical understanding into applied technical skill, preparing participants to create and deploy resilient automotive IoT applications. What sets this course apart is its balanced focus on both technical and practical dimensions of automotive IoT. Learners not only explore the underlying architectures and protocols but also apply best practices for security, scalability, and interoperability in real-world automotive environments. This course is designed for embedded developers, software engineers, and IoT professionals seeking to specialize in the automotive domain. A foundational understanding of programming and IoT concepts will help learners fully engage with the material.
Coursera
Créer un diagramme de Brainstorming avec Creately
Ce projet vous permet de créer des diagrammes de Brainstorming avec Creately. Vous découvrirez la plateforme Creately, logiciel en ligne de conception de diagrammes. Vous comprendrez les diverses fonctionnalités de la plateforme et serez capables de créer des diagrammes de Brainstorming personnalisés et professionnels pour votre entreprise. Vous apprendrez à utiliser Creately pour créer des diagrammes de Brainstorming variés et professionnels. Ce projet est destiné aux petites et moyennes entreprises.
Google
Satisfacción garantizada: desarrolla estrategias de fidelización de clientes en línea
¡Lo lograste! “Satisfacción garantizada: desarrolla estrategias de fidelización de clientes en línea” es el séptimo y último curso del Certificado de Carrera de Google en Marketing Digital y Comercio Electrónico. Aquí, incorporarás habilidades para desarrollar estrategias que te permitirán fidelizar a los/las clientes en el comercio electrónico. También, aprenderás a utilizar herramientas específicas para comunicarte y reforzar los vínculos con tu audiencia. Al final del curso, trabajarás en un escenario en el que podrás demostrar tu capacidad para ofrecer una estrategia de comercio electrónico exitosa. Al finalizar el programa, habrás adquirido habilidades de desarrollo profesional. Te recomendamos que concluyas los cursos del 1 al 6 antes de comenzar con este, pues brindan la base necesaria para completar las actividades de cierre. Te guiarán especialistas de Google, que actualmente trabajan en estos sectores, con actividades prácticas y ejemplos que simulan tareas comunes y frecuentes de marketing digital y comercio electrónico. Todo esto te ayudará a desarrollar tus habilidades y prepararte para trabajar. Las y los estudiantes que completen los siete cursos de este programa estarán en condiciones de solicitar trabajos como coordinadores/as de marketing digital o especialistas en comercio electrónico en un nivel inicial. No necesitas contar con experiencia previa en el área. Al final de este curso, podrás: - Identificar estrategias para fidelizar a los/las clientes en el comercio electrónico - Comprender cómo administrar con éxito las relaciones con las y los clientes y medir su satisfacción - Monitorear la performance de una tienda de comercio electrónico - Actualizar una tienda de comercio electrónico en función de los datos - Buscar, postularte y prepararte para entrevistas y trabajos - Preparar un portafolio y/o currículum para presentar ante posibles empleadores
Coursera
Analyze and Optimize Fusion Algorithms
Ready to master the art of algorithm efficiency? In today's multimodal AI landscape, fusion algorithms are the backbone of intelligent systems, but poorly optimized code can cripple performance and drain resources. This Short Course empowers ML engineers and AI professionals to systematically analyze computational complexity and memory footprints of fusion algorithms, enabling you to make strategic optimization decisions that dramatically improve system performance. By the end of this course, you will be able to decompose fusion algorithms into fundamental operations, calculate time and space complexity using Big O notation, and propose targeted optimizations like sparse-attention alternatives that can reduce memory usage by 30% or more. This course is unique because it bridges theoretical complexity analysis with hands-on profiling tools like cProfile, giving you immediately applicable skills for real-world optimization challenges. To be successful, you should have experience with machine learning algorithms and basic understanding of computational complexity concepts.
The University of Sydney
Using clinical health data for better healthcare
Digital health is rapidly being realised as the future of healthcare. While this is placing emphasis on the input of quality health data in digital records and systems, the delivery of safe and quality healthcare relies not only on the input of data, but also the ability to access and derive meaning from data to generate evidence, inform decision making and drive better health outcomes. This course provides insight into the use of healthcare data, including an overview of best practices and the practical realities of obtaining useful information from digital health systems via the understanding of the fundamental concepts of health data analytics. Learners will understand why data quality is essential in modern healthcare, as they are guided through various stages of the data life cycle, starting with the generation of quality health data, through to discovering patterns and extracting knowledge from health data using common methodologies and tools in the basic analysis, visualisation and communication of health data. In doing so, learners explore current healthcare delivery contexts, and future and emerging digital health data systems and applications that are rapidly becoming tomorrow’s reality. On completion of this course, you will be able to: 1. Identify digital health technologies, health data sources, and the evolving roles of health workforce in digital health environments 2. Understand key health data concepts and terminology, including the significance of data integrity and stakeholder roles in the data life cycle 3. Use health data and basic data analysis to inform and improve decision making and practice. 4. Apply effective methods of communication of health data to facilitate safe and quality care. During this course, you will interact with learning content contributed by: • Digital Health Cooperative Research Centre • Australian Digital Health Agency • eHealth NSW • Sydney Local Health District • The NSW Ministry of Health • Health Education and Training Institute • Clinical Excellence Commission • Chris O’Brien Lifehouse • Monash Partners / Australian Health Research Alliance • Australian Research Data Commons • Justice Health & Forensic Mental Health Network • South Eastern Sydney Local Health District • Western Sydney Local Health District • Westmead Breast Cancer Institute • Agency for Clinical Innovation • Western NSW Local Health District • Sydney Children’s Hospital Network This course is a collaborative venture between NSW Health, the University of Sydney and the Digital Health Cooperative Research Centre, including dedicated resources from eHealth NSW, Health Education and Training Institute, and the Research in Implementation Science & eHealth group. While many learning resources and case examples are drawn from the NSW Health service context, this course has relevance for all existing and future health workforce, regardless of role or work context. Note: Materials used are for learning purposes and content may not reflect your organisation’s policies. When working with data, make sure you act within the guidelines and policies of your organisation.
University of Colorado Boulder
Getting Started with Technology Startups
This course describes what it means to be an entrepreneur and clarifies some of the distinguishing characteristics of technology entrepreneurship. Entrepreneurial concepts, processes, & support systems are introduced from a holistic perspective. Methods and strategies for idea and opportunity recognition and development are provided to help identify new product ideas and solutions. Core concepts introduced include market gap analysis, sustainable competitive advantage, vision, mission, and customer value proposition. Getting Started with Startups can be taken for academic credit as part of CU Boulder’s Master of Engineering in Engineering Management (ME-EM) degree offered on the Coursera platform. The ME-EM is designed to help engineers, scientists, and technical professionals move into leadership and management roles in the engineering and technical sectors. With performance-based admissions and no application process, the ME-EM is ideal for individuals with a broad range of undergraduate education and/or professional experience. Learn more about the ME-EM program at https://www.coursera.org/degrees/me-engineering-management-boulder.