The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
Coursera
CMO Excellence: Leading Marketing Teams for Impact
CMO Excellence: Leading Marketing Teams for Impact is an advanced-level program designed for marketing leaders, senior managers, and aspiring CMOs who want to drive measurable business growth through effective leadership and strategic execution. As marketing rapidly evolves with AI, data-driven insights, and shifting customer expectations, CMOs are now expected to deliver both creative vision and operational excellence. This course equips you with the leadership frameworks, organizational strategies, and execution playbooks required to inspire high-performing teams and align marketing with business impact. Through real-world case studies from companies like Airbnb, Unilever, and HubSpot, you'll explore how leading CMOs balance brand storytelling with performance marketing, foster collaboration across cross-functional teams, and build cultures of innovation. With a blend of expert-led videos, guided discussions, and hands-on projects, you'll learn to design marketing strategies that scale, lead with clarity and influence, and demonstrate impact at the boardroom level. By the end of the course, you’ll be equipped not just as a marketing leader, but as a business builder—ready to transform marketing into a growth engine for your organization.
The University of Edinburgh
EDIVET: Do you have what it takes to be a veterinarian?
This course is for anyone interested in learning more about Veterinary Medicine, giving a “taster” of courses covered in the first year of a veterinary degree and an idea of what it is like to study Veterinary Medicine. Learners can apply for Financial Aid directly with Coursera to assist with the cost of accessing the full course and gaining a certificate for successfully completing the course.
Microsoft
Advanced Analytics & AI Optimization with Microsoft Fabric
This course will equip you with the skills to build high-performance, intelligent data solutions. You will gain hands-on experience by building robust semantic models in Power BI, implementing the groundbreaking DirectLake mode for lightning-fast analytics, and leveraging the power of Copilot in Fabric to dramatically boost your productivity. The course also covers making critical decisions on connection modes and semantic models to optimize performance and cost. By the end of this course, you will be able to analyze an organization's needs and recommend a comprehensive optimization strategy that improves performance while managing costs.
University of Toronto
State Estimation and Localization for Self-Driving Cars
Welcome to State Estimation and Localization for Self-Driving Cars, the second course in University of Toronto’s Self-Driving Cars Specialization. We recommend you take the first course in the Specialization prior to taking this course. This course will introduce you to the different sensors and how we can use them for state estimation and localization in a self-driving car. By the end of this course, you will be able to: - Understand the key methods for parameter and state estimation used for autonomous driving, such as the method of least-squares - Develop a model for typical vehicle localization sensors, including GPS and IMUs - Apply extended and unscented Kalman Filters to a vehicle state estimation problem - Understand LIDAR scan matching and the Iterative Closest Point algorithm - Apply these tools to fuse multiple sensor streams into a single state estimate for a self-driving car For the final project in this course, you will implement the Error-State Extended Kalman Filter (ES-EKF) to localize a vehicle using data from the CARLA simulator. This is an advanced course, intended for learners with a background in mechanical engineering, computer and electrical engineering, or robotics. To succeed in this course, you should have programming experience in Python 3.0, familiarity with Linear Algebra (matrices, vectors, matrix multiplication, rank, Eigenvalues and vectors and inverses), Statistics (Gaussian probability distributions), Calculus and Physics (forces, moments, inertia, Newton's Laws).
SkillUp
Generative AI: Transform Your Customer Support Career
Generative AI is transforming how customer service teams proactively interact and support their customers. Customer or IT support professionals and managers who can leverage generative AI (GenAI) are in high demand, and this course gives you sought-after GenAI skills businesses need. During this course, you’ll discover how GenAI can transform customer interactions and streamline support processes. You’ll learn to automate responses, create FAQs and user guides, enable multilingual support, and optimize the support lifecycle using generative AI. Plus, you’ll get hands-on using generative AI tools to craft tailored prompts for specific customer needs. You’ll look at how to develop and use AI-driven chatbots for inquiries and knowledge management. You’ll learn how to use GenAI to support key support processes such as Standard Operating Procedure (SOP) documentation, sentiment analysis, and proactive support through behavioral insights. In addition, you’ll examine ethical considerations, challenges, and best practices for AI integration in customer support. Boost your customer or IT support career with in-demand generative AI skills. Enroll today to enhance your resume and stand out to employers.
Google
2. データに基づいた意思決定を行うための問いかけ
Google データアナリティクス プロフェッショナル認定プログラムの 2 つめのコースです。各コースでは、初歩的なデータ アナリスト業務に必要なスキルを習得します。 このコースでは、1 つめのコースで紹介されたトピックの理解をさらに深めながら、データ主導の意思決定を行うための効果的な問いかけの方法を学び、ステークホルダーのニーズと結びつけられるようになることを目指します。また、現職の Google データ アナリストが、最適なツールやリソースを使って、一般的なアナリスト業務を遂行する実践的な方法を指導します。 この認定プログラムを修了すると、エントリーレベルのデータ アナリスト職に応募できるようになります。過去の業務経験は不要です。 このコース修了後の目標は以下の通りです。 - 分析を行う際の、効果的な問いかけのテクニックを学ぶ。 - データ主導の意思決定とデータアナリストのプレゼンテーション方法について理解する。 - 問いかけと意思決定の理解を深めるために、ビジネスのさまざまなシナリオを検証する。 - データアナリストにとって、表計算ソフトが重要なツールであることを理解する。 - 構造化思考に関連するアイデアについて検証する。また、それらがデータアナリストが課題を理解し、ソリューションを生み出すためにどう役立つかを学ぶ。 - ビジネスにおける目標を達成するために、データアナリティクスチームと明確なコミュニケーションを取りながら、ステークホルダーの期待値を管理するための戦略について学ぶ。
Universidad Nacional Autónoma de México
Actualización en el manejo del paciente con diabetes mellitus tipo 2
Este curso está diseñado para ofrecer información actualizada sobre el manejo del paciente con diabetes mellitus tipo 2, con la finalidad de mejorar su atención médica. El curso está dirigido a médicos y profesionales sanitarios que tienen contacto con pacientes diabéticos; con ello, se busca disminuir la morbimortalidad de esta enfermedad y mejorar la calidad de vida de quienes la padecen. Este curso incluye temas relacionados con el manejo nutricional y la actividad física, así como estrategias de manejo farmacológico según el contexto clínico del paciente, a partir de sus comorbilidades y preferencias.
Coursera
React and Typescript: Utility Types and Template Literals
By the end of this course you will be able to start working with utility types and template literals in React applications. We will start by focusing on the core utility types reinforced by code examples which start off simple to drill the concepts, and toward the end we gradually increase the complexity and variety of real world examples of higher order component logic utility. This course is aimed at developers who are familiar with React in general and Typescript specifically, understand the basics well, and would like to have some more experience, especially using some of the more advanced and dynamic development patterns in React.
EDUCBA
REST Assured Java - Intermediate
This intermediate-level course enables learners to apply, analyze, and evaluate RESTful API testing techniques using the REST Assured framework in Java. Through structured lessons and real-world examples, learners will build upon foundational REST concepts to construct and execute automated test scenarios for key HTTP methods including GET, POST, PUT, DELETE, and PATCH. The course guides learners in implementing full CRUD operations with a hands-on approach, while introducing vital data handling concepts like serialization and deserialization for smooth API integration. Learners will also implement security mechanisms using authorization headers and Bearer tokens to interact with protected endpoints effectively. By the end of this course, participants will have the skills to create maintainable, scalable, and secure automated REST API tests, aligned with industry best practices.
Whizlabs
Selenium WebDriver with Python
“Selenium WebDriver with Python” is a foundational course that aims to provide a comprehensive understanding of Selenium and its components. It also helps in understanding how Selenium WebDriver Operates. This course begins by demonstrating an environment setup for Selenium WebDriver with Python. A brief description of locating Web elements and web Interactions is provided in this course. This course covers an overview of testing frameworks with Selenium WebDriver. Some advanced topics such as Handling Popup, Alerts, Multiple Browser Tabs, Mouse and Keyboard interactions are also highlighted in this course. This course provides 4 hours of training videos which are segmented into modules. The course concepts are easy to understand through lab demonstrations. In order to test the understanding of learners, every module includes Assessments in the form of Quiz and In Video Questions. A mandatory Graded Questions Quiz is also provided at the end of every module. Module 1: Getting Started With Selenium WebDriver Module 2: Web Elements and Web Interactions Module 3: Selenium Testing and Advance Features Prior knowledge of Basics of Python Programming Language and Testing Concepts can be added as an recommended background for Selenium WebDriver with Python. By the end of this course, Learners will be able to : -Setting up the Environment for Selenium WebDriver with Python -Overview of Testing Frameworks (unittest, pytest) and setting up test cases. -Handling Popup, Alerts, Multiple Browser Tabs, Mouse and Keyboard interactions -Debugging with Selenium WebDriver
Universidad de los Andes
Creando proyectos XR y Metaversos
El curso Creando Proyectos XR y Metaversos representa el último paso del programa especializado Creación XR y Metaversos para Todos. A lo largo de este curso, consolidarás todos los conocimientos adquiridos en los cursos previos mediante la creación de un proyecto final que refleje tu dominio en el desarrollo XR y el diseño de experiencias inmersivas. A lo largo de este curso, te enseñaremos a planificar, desarrollar, refinar y publicar un proyecto XR o un metaverso funcional. Aprenderás a configurar un entorno de trabajo profesional, crear un prototipo inicial, avanzar hacia un producto mínimo viable (MPV) y realizar pruebas con usuarios para mejorar tu proyecto. Finalmente, publicaremos tu creación en un portafolio que podrás compartir con reclutadores y profesionales de la industria. Este curso enfatiza un enfoque práctico para que puedas aplicar los conceptos aprendidos en situaciones reales. Este curso está diseñado para hispanohablantes de cualquier región, sin importar su nivel educativo previo. Es ideal haber realizado los cursos del programa especializado, puesto que aquí se busca centralizar todo el conocimiento previo en un proyecto final.
Arizona State University
Phase Diagrams
This course will explore higher-level details about phase diagrams, including the Fe-Fe3C phase diagram. We will use the Fe-Fe3C phase diagram to predict the possible phases and microstructures of a steel alloy based on its composition.
Adobe
Getting Started with Adobe Illustrator
This beginner-friendly course empowers learners to explore Adobe Illustrator with confidence—whether on the web or desktop. Through guided readings, tutorials, and videos, learners will discover what makes Illustrator unique, how to navigate its interface, and how to begin creating vector artwork. The course introduces foundational tools like selection, artboards, and layers, while connecting learners to the Adobe creative community and support resources. By the end of the course, learners will be equipped to choose the right Illustrator platform, understand vector design principles, and apply essential techniques to create structured, scalable artwork.
Packt
Practical Cyber Hacking Skills 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 course, you'll explore the world of ethical hacking and cybersecurity through practical, hands-on lessons. You'll gain the skills needed to understand and address various cyber threats, including malware, ransomware, phishing, and network vulnerabilities. By the end, you'll have a strong foundation in the tools and techniques used by security professionals. The course begins with a thorough introduction to the core principles of cybersecurity. You'll learn about essential concepts like the CIA and DAD triads, key vulnerabilities, and how to protect systems from common threats. From there, you’ll move into practical topics such as network security, the installation and use of Kali Linux, and common hacking tools. As you progress, you’ll delve into specialized areas, such as phishing attacks, password cracking, and SQL injection. Each lesson is carefully crafted to build on the previous one, ensuring you understand the theory and gain hands-on experience with industry-standard tools like NMAP, Burp Suite, and Maltego. This course is ideal for beginners looking to break into the field of cybersecurity. No prior experience is necessary, though an understanding of basic computer operations will be helpful. The content is designed to provide a comprehensive overview of hacking techniques and defensive measures, setting you up for success in real-world security challenges.
Pearson
Ansible From Basics to Guru: Unit 3
This course is meticulously crafted to not only enhance your proficiency in Ansible but also to prepare you for the Red Hat Exam 447. Dive into the intricacies of Ansible best practices, optimization, and advanced Tower usage through a series of expertly structured lessons. You'll gain hands-on experience with filters to modify text and variables, explore the power of plugins to extend Ansible's capabilities, and harness the full potential of Ansible Tower for efficient automation. By the end of this course, you'll be equipped with the skills to optimize Ansible operations, manage complex workflows, and enhance your automation strategies.
Packt
Modern Graph Theory Algorithms with Python
Unlock the power of graph theory to analyze complex data at scale with Python. This course delves into network science and its real-world applications, offering practical insights into transforming data into network structures. Learners will explore advanced graph algorithms and apply them to solve real-world problems, building scalable solutions that address big data challenges. With hands-on Python examples, you'll deepen your understanding of data analysis, machine learning, and network-based analytics. By the end, you’ll be equipped to tackle network-related problems efficiently in both research and industry settings. This course provides a blend of theory and practical application, making it perfect for those looking to integrate graph algorithms into data science workflows. You'll work through case studies that demonstrate real-world uses of network science, allowing you to directly apply what you learn to complex datasets. The course content is rich with Python code examples, helping you build practical skills along the way. This course is designed to not only enhance your theoretical understanding of network analysis but also help you implement these solutions in practice. What sets this course apart is the unique combination of network science, machine learning, and Python. It goes beyond theory and integrates practical case studies to give you a comprehensive skill set in using graph algorithms for solving real-world data science problems. Whether you are a data analyst, researcher, or industry professional, you will gain valuable, hands-on experience applicable to various fields such as engineering, science, and big data analytics. This course is ideal for learners with basic Python knowledge who want to dive deeper into graph algorithms and their applications. A solid understanding of working with datasets will also be beneficial. R programmers looking to transition into Python for network science will find this course helpful as well.