The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
Coursera
Visualize & Optimize Your Marketing Spend
Make your marketing data work harder for you. In this course, you’ll learn how to turn scattered campaign reports into clear, executive-ready dashboards and use them to drive smarter budget decisions. Explore how to integrate data sources, interpret performance trends, and reallocate spend for maximum ROI. By the end, you’ll think—and act—like a data-savvy marketer who knows how to tell the story behind every dollar.
Pearson
Java SE 17 Developer (1Z0-829): Unit 9
Elevate your Java applications to a global standard with our specialized course focused on implementing localization. This course is designed to provide you with the skills necessary to create applications that cater to diverse linguistic and cultural audiences. You'll learn to implement localization using Java's robust support for locales, enabling your applications to adapt to different languages and regional settings seamlessly. Our lessons will guide you through the process of using resource bundles to manage and present user interface elements like messages and labels in the user's preferred language. You'll gain expertise in formatting messages, dates, times, and numbers, including currency and percentage values, to ensure they are displayed correctly according to local conventions. By the end of this course, you'll be equipped with the knowledge to build Java applications that are not only functional but also culturally aware and user-friendly, expanding your reach to a global audience.
Northeastern University
Economic Decision Making Part 2
Explores economic modeling and analysis techniques for selecting alternatives from potential solutions to an engineering problem. Considers measures of merit, such as present worth, annual worth, rate of return, and benefit/cost techniques. Examines recent techniques of economic analysis, especially the tools of decision-making. Explores decisions under uncertainty. Studies the causes of risk and uncertainty and examines ways to change and influence the degree of risk and uncertainty through sensitivity analysis, expectation-variance criterion, decision tree analysis, statistical decision techniques, and multiple attribute decision-making through group case studies.
École Polytechnique
La recherche documentaire
Ce cours vise principalement à permettre aux étudiants d’identifier les sources pertinentes dans un domaine donné, leur apprendre à construire un état de l’art et à évaluer les sources, en particulier celles en accès libre sur Internet. Il cherche également à optimiser la recherche documentaire en incitant les étudiants à tirer le meilleur parti des outils et requêtes d’interrogation des bases de données. A l'issue de ce cours, ils devront être capables de construire et alimenter une bibliographie ordonnée, ainsi que de citer convenablement leurs sources pour éviter le plagiat.
Coursera
Sustainable Business Strategies
Climate change is real and it is affecting businesses as much as populations. Each decade in the 20th and 21st centuries has been hotter than the last, and carbon dioxide levels in the atmosphere today are higher than at any point in at least the last 800,000 years. Governments and organization's are taking action to limit, and, potentially, reverse the impacts of human activity on the climate. As part of this, businesses are developing more sustainable ways of working and, in this course, we cover the business strategies that organization's are implementing to reduce their impact on the environment and people. Managers, supervisors, team leaders, and professionals, along with students of business and environmental managers, comprise the intended audience for this course. It caters to individuals interested in integrating sustainability into business practices, from operational improvements to strategic decision-making. There are no specific prerequisites for this course, making it accessible to a wide range of learners. Whether participants are new to sustainability concepts or seasoned environmental activists, the course provides foundational knowledge and practical applications without requiring prior coursework. Participants will gain comprehensive insights into sustainability's significance for businesses, exploring global organizations that advocate for sustainable practices. They will delve into critical issues and understand the regulatory frameworks guiding sustainability reporting. Practical skills include calculating carbon footprints, improving operational sustainability, and assessing supply chain sustainability. Learners will also grasp the application of environmental, social, and governance criteria in investment decisions, supported by real-world case studies and resources for deeper understanding.
EDUCBA
Univariate Time Series Analytics & Modeling with EViews
This course provides a comprehensive and hands-on introduction to univariate time series modeling with a strong focus on ARMA (AutoRegressive Moving Average) techniques using EViews software. Designed for learners with foundational statistical knowledge, the course enables participants to apply, analyze, and evaluate key components of time series analysis, from identifying autocorrelation patterns to building and diagnosing ARMA models. In Module 1, learners are guided through the conceptual foundation of univariate time series, including the construction and interpretation of correlograms. Using real-world data, students identify time-dependent components and analyze autocorrelation structures to determine appropriate model forms. In Module 2, the focus shifts to ARMA estimation, output interpretation, and model diagnostics. Learners interpret EViews estimation results, evaluate parameter significance, and assess residual patterns using correlograms and statistical tests such as the Ljung-Box Q test. Throughout the course, practical exercises and quizzes reinforce understanding, enabling learners to develop models that are both theoretically sound and empirically valid. By course completion, participants will be able to confidently construct and validate univariate ARMA models for real-world forecasting and analytical tasks.
Università di Napoli Federico II
Modelling and simulation of mechanical systems
The course provides the principles of modelling and simulation of modern mechatronic systems, which are mechanical systems integrated with several types of sensors and actuators. The aim of the course is to show different methodologies to improve the potential of mechanical systems by transforming them into mechatronic systems based on virtual models. In particular, the lessons will be focused on case studies in three engineering fields: robotics, controlled electro-hydraulic actuators and smart devices.
Immersify
The Nursing Journey: From Calling to Career
You’ll explore the core interpersonal skills for nursing and professional competencies that define everyday care. From ethical advocacy to communication skills in nursing, this course equips learners with the required soft skills for nurses to build trust, navigate complex care situations, and deliver person-centered care in diverse clinical settings. Learn how to communicate effectively with patients, families, and teams using tools like active listening, culturally responsive strategies, and SBAR communication in nursing. You’ll also examine the importance of communication skills in nursing, especially when managing conflict, addressing emotional distress, and working collaboratively. Beyond communication, you’ll explore cultural competence in healthcare, patient advocacy, and holistic care, including how to support individuals facing cognitive decline, language barriers, or emotional challenges. This practical foundation reflects what the fundamentals of nursing truly look like in real-world practice, and prepares you to meet the challenges nurses face with empathy, professionalism, and confidence.
EDUCBA
Analyze & Evaluate Related Party Transactions (IAS 24)
By the end of this course, learners will be able to identify related-party relationships, analyze complex ownership structures, evaluate arm’s-length transactions, and interpret global and Indian regulatory requirements including IAS 24, the Companies Act 2013, and SEBI’s Clause 49. This course equips learners with a comprehensive understanding of how related-party transactions influence financial reporting, governance, and transparency. Through structured lessons, real corporate case studies, and practical IAS 24 examples, learners gain the ability to confidently classify related parties, assess disclosures, and recognize risks arising from control and significant influence. The course offers unique value by blending international standards with India-specific regulations, bridging academic principles with real-world applications involving companies like Google, Wipro, and HUL. Professionals, students, and aspiring accountants will benefit from strengthened analytical skills, enhanced regulatory awareness, and improved decision-making capabilities. With a focus on clarity, compliance, and governance, this course provides the practical insight needed to navigate related-party complexities in modern financial environments.
Dassault Systèmes
Explore the Collaborative Industry Innovator Role
In this module, you will learn how to collaborate across disciplines with full flexibility and traceability to define and develop innovative products.
Packt
Kafka for Developers - Data Contracts Using Schema Registry
Updated in May 2025. This course now 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. Unlock the power of data contracts in Kafka with this comprehensive course focusing on Schema Registry and AVRO serialization. You'll explore how to create robust data pipelines, ensuring compatibility and scalability across producer-consumer applications. By the end, you'll master tools and techniques that empower efficient data processing with seamless schema evolution. Start with the fundamentals of data serialization in Kafka, diving deep into popular formats like AVRO, Protobuf, and Thrift. Gradually, you'll build hands-on expertise by setting up Kafka in a local environment using Docker, creating custom AVRO schemas, and generating Java records for real-world applications. The course includes practical exercises, such as building an end-to-end Coffee Shop order service and exploring schema evolution strategies in Schema Registry. You'll also learn naming conventions, logical schema types, and compatibility strategies that ensure smooth upgrades in production environments. Designed for software developers and data engineers, this course assumes basic knowledge of Java and Kafka. Whether you're a beginner or looking to deepen your expertise in Kafka and Schema Registry, this course is your gateway to mastering data contracts.
Coursera
API Development and Model Serving
The API Development and Model Serving course is designed for developers, engineers, and technical product builders who are new to Generative AI but already have intermediate machine learning knowledge, basic Python proficiency, and familiarity with development environments such as VS Code, and who want to engineer, customize, and deploy open generative AI solutions while avoiding vendor lock-in. The course teaches learners how to deploy and expose generative AI models through robust and scalable APIs. Beginning with FastAPI, learners design and implement REST endpoints for model inference, focusing on schema design, authentication, rate limiting, and error handling. The course then introduces the Model Context Protocol (MCP), comparing it with traditional API approaches and demonstrating how function calling and tool integration can extend model capabilities. In the final module, learners address scaling and performance, applying containerization with Docker, asynchronous request handling, load balancing, and monitoring techniques. Practical exercises also cover tunneling and remote access using ngrok for rapid prototyping. By the end, learners will have built a production-ready API with clear documentation and the ability to support both REST and MCP-inspired integration patterns, equipping them with the tools to serve generative AI applications efficiently and reliably.
Coursera
Clinic Admin: Phones, Mail, Records
Every healthcare facility depends on smooth administrative operations to deliver quality patient care. This Short Course was created to help health administration professionals accomplish seamless clinic operations through mastering fundamental communication and record-keeping systems. By completing this course, you'll be able to confidently operate multi-line phone systems, implement standardized correspondence workflows, and maintain organized physical filing systems that meet healthcare compliance standards. These skills form the backbone of efficient clinic operations, ensuring patient information flows smoothly while maintaining professional standards. By the end of this course, you will be able to: Execute standard multi-line phone system functions including call management, transfers, and messaging Process incoming correspondence using systematic workflows for documentation and distribution Organize and maintain physical records using established filing protocols This course is unique because it focuses on the critical administrative foundation skills that keep healthcare facilities running smoothly, emphasizing practical competency over theory. To be successful in this course, you should have basic familiarity with office environments and willingness to learn systematic administrative processes.
Coursera
Agentic AI Content for Practitioners (Teams: HR)
Master AI Agents for Transformative HR Management is an intermediate-level course designed for HR professionals ready to harness the power of autonomous AI systems to revolutionize employee management processes. In today's rapidly evolving workplace, AI agents are transforming HR from a transactional function into a strategic powerhouse that drives organizational success. This course equips you with practical skills to implement AI agents that automate key HR functions like resume screening and interview planning, while creating personalized employee experiences throughout the entire lifecycle. You'll explore real-world case studies from industry leaders like IBM, L'Oréal, and Workday, learning how AI agents can reduce hiring time by 60%, improve employee retention by 45%, and handle 94% of routine HR inquiries autonomously. Through hands-on exercises, strategic case analysis, and comprehensive implementation planning, you'll develop the expertise to evaluate AI-powered feedback systems, design personalized onboarding experiences, and create measurement frameworks that demonstrate clear ROI. Whether you're looking to streamline current processes or transform your entire HR operation, this course provides the knowledge and tools to lead successful AI agent implementations that enhance both efficiency and employee satisfaction.
Northeastern University
Foundations in Human-Centered AI
In this course, we will explore the foundations of Human-Centered AI, a subdomain of artificial intelligence research that asks the core question underlying our study: How do we design AI technology in ways to augment and enhance human capability, rather than replace it outright? We will begin by examining the history of research and technology around artificial intelligence, situating our current understanding of AI in a broader historical lens that will supply some of the motivations around why it matters to design AI with a human-centric orientation. From there, we will consider some of the key concepts, tenets, and challenges of Human-Centered AI.
Packt
Python Fundamentals and Data Science Essentials
Updated in May 2025. This course now 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. This course starts with an introduction to Python programming, covering everything from installation and setup of Python and Anaconda to fundamental concepts such as variables, numeric and logical operations, control structures like if-else and loops, and defining functions. The journey continues with in-depth modules on strings and lists, ensuring a solid understanding of these core components. Building on Python fundamentals, you will explore data analysis with NumPy and Pandas. You will learn about array operations in NumPy, manipulating and analyzing data using Pandas, including working with DataFrames, performing data operations, indexing, and merging datasets. These modules are designed to provide you with a strong foundation in data manipulation and analysis, critical for any data science role. The course culminates with an introduction to basic machine learning concepts. You will delve into linear regression, understanding its mathematical foundations and practical applications. Furthermore, you will explore gradient descent, a crucial optimization technique, and KNN classification, one of the simplest machine learning algorithms. Each topic is reinforced with case studies, ensuring you can apply theoretical knowledge to real-world scenarios. This course is ideal for beginners in programming and data science. No prior experience in Python or data analysis is required, but a basic understanding of mathematics will be beneficial.