The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
Coursera
Introduction to Basic Game Development using Scratch
By the end of this project, you will create a basic game using an introductory, web-based coding program called Scratch. Learning to code will allow you to build basic coding or computer science skills and a fundamental understanding in order to grow your programming abilities. Learners will engage in the design process in order to develop an understanding of how to develop algorithms that control programs, use event-driven programming, and debug a program. 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.
Alfaisal University | KLD
أساسيات مايكروسوفت آوتلوك | Microsoft Outlook Fundamentals
مايكروسوفت آوتلوك (Microsoft Outlook) هو برنامج لإدارة المعلومات الشخصية والتي تتضمن البريد الإلكتروني، وإدارة المهام، والتقويم، وتدوين الملاحظات، وإدارة جهات الاتصال وغيرها، وهو جزء من مجموعة (Microsoft Office) التي تضم برامج أخرى مثل وورد (Word) و إكسل (Excel) وبوربوينت (PowerPoint) وغيرها، ولكل برنامج وظائفه ومهامه المختلفة. تهدف هذه الدورة إلى رفع المستوى المعرفي للمتدربين لمواكبة سوق العمل فيما يتعلق باستخدام برنامج (Outlook) من خلال تعريفهم بالأدوات الأساسية في البرنامج وكيفية استخدامها، بحيث تمكنهم من إدارة حياتهم الشخصية بشكلٍ عام والمهنية بشكلٍ خاص بطريقة أكثر احترافية وتنظيم. هذه الدورة هي دورة تمهيدية؛ فهي تلقي الضوء على أساسيات الموضوع بشكل عام بهدف التعريف به وبمحاوره الأساسية التي يجب الإلمام بها. إذا كنت من المهتمين بإتقان أساسيات مايكروسوفت آوتلوك أو كان مجال عملك يتطلب إتقان تلك المهارات وتوظيفها في سياق عملك، فهذه الدورة ستكون مثالية لإغناء خبرتك وتطوير مهاراتك في فهم وتحليل وذلك بشكل فعال ومؤثر. حيث ستزودك هذه الدورة باطلاع واسع ودقيق على مجموعة من المحاور المتعلقة بهذا الموضوع، مثل: التعرف على إدارة جهات الاتصال وإضافة جهات اتصال جديدة مع بيانات الاتصال كاملة لكل جهة، تعلم إضافة المهام والملاحظات وتعديلها، شرح استخدامات التقويم وكيفية إنشاء اجتماع أو دعوة، التعرف على إرسال الرسائل الإلكترونية والرد عليها وإعادة توجيهها بنجاح، شرح الفرق بين كل إصدار من إصدارات آوتلوك المختلفة، تحديد أجزاء برنامج آوتلوك ووظيفة كل جزء.
Packt
Advanced Tinkercad 3D Design and Printing Techniques
This course takes your Tinkercad skills to the next level, focusing on advanced 3D modeling techniques and real-world applications. You'll learn how to create complex models and explore the nuances of 3D printing, making your designs ready for professional production. By the end of this course, you'll have mastered the tools and techniques necessary to design intricate 3D models, from multi-part designs to functional, aesthetically pleasing creations. You’ll gain hands-on experience in Tinkercad, helping you improve your design workflow and preparing you to tackle advanced projects. Unlike other courses that focus on basic skills, this course combines theoretical concepts with practical exercises that guide you through real-world applications. The goal is to empower you to create professional-grade 3D designs that are both complex and functional. This course is perfect for hobbyists, students, and educators with a foundational understanding of Tinkercad who want to deepen their skills. It’s also suitable for anyone interested in creating 3D models for printing, even if you don’t have a printer at hand. This course is based on material written by an expert author, bringing the depth of a book into a more engaging, interactive format. The core content is delivered through clear, structured text you can read at your own pace, supported by short videos and quizzes to highlight key ideas and test your understanding. By combining the strengths of book learning with interactive assessments, you get the best of both worlds: the depth and clarity of an author’s expertise, plus the flexibility to revisit, practice, and reinforce concepts whenever you need.
Coursera
Process & Analyze Real-Time Data Fast
In a world where business decisions happen in seconds, is your data fast enough? Traditional batch processing creates a critical "insight lag," forcing you to react to yesterday's news. This hands-on course empowers you to design, build, and optimize high-speed data pipelines that serve as the nervous system of modern business. Working in a ready-to-use cloud environment with industry-standard Apache Spark, you will master the complete lifecycle of real-time data engineering. Through practical, real-world case studies from e-commerce, IoT, and FinTech, you'll learn to build live operational dashboards, apply window functions to analyze trends over time, and design a sophisticated, real-time fraud detection engine. You will leave this course with the skills to transform massive, high-speed data streams into immediate, actionable business value and become the go-to expert for creating low-latency solutions that give companies their competitive edge. This course is designed for professionals and aspiring practitioners who want to harness the power of real-time analytics. Whether you are a data analyst, data engineer, or data scientist seeking to advance your skills, or an IT professional and developer working with IoT, cloud, or streaming systems, this course will equip you with the practical tools and techniques to analyze data as it flows. Business professionals will also benefit from understanding how real-time insights can accelerate smarter decision-making across industries. Learners should have a basic understanding of Python and SQL to follow the exercises effectively. The hands-on labs use a free Databricks account, and a setup guide is provided, so no prior experience with Databricks or Spark is required to get started. By the end of this course, learners will be able to design and implement efficient real-time data solutions using streaming technologies. They will learn to differentiate between batch, micro-batch, and continuous streaming patterns to solve business problems, apply time-based functions and watermarking for stateful data analysis, and optimize streaming pipelines by identifying and resolving performance challenges such as data skew.
University of Illinois Urbana-Champaign
Navigating Disruptions and Emerging Technologies
In a world defined by rapid change, innovation waits for no one. Navigating Disruptions and Emerging Technologies helps you understand, anticipate, and lead through transformation. Explore how technologies like AI, immersive computing, and probabilistic forecasting are reshaping industries—and learn how to think like a futurist. You’ll master frameworks for evaluating innovation, apply data-driven foresight to complex decisions, and build essential human skills in critical thinking, communication, and ethical leadership. Whether you’re a professional, entrepreneur, or educator, this course will help you move beyond reacting to disruption—to shaping the future with confidence and purpose.
SkillUp
Advanced GenAI Development Practices
Using AI to streamline your development workflows and tackle complex challenges is essential for staying competitive. In this course, you’ll learn how to integrate advanced generative AI tools into your software development practices to enhance efficiency, improve code quality, and achieve better project outcomes. Building on foundational development and AI concepts, you’ll explore advanced techniques in AI-driven API design, multi-layer integrations, and full-stack application development. This course emphasizes practical, real-world applications, equipping you with the tools and skills needed to handle complex software projects. Through hands-on experience with platforms such as GitHub Copilot and ChatGPT, you’ll explore AI-driven techniques to construct multi-step prompts and optimize integration across development layers. By the end of this course, you’ll have the experience to seamlessly integrate AI-powered solutions into your development workflows.
Coursera
Track Basic Metrics
This is primarily aimed at first- and second-year undergraduates interested in engineering or science, along with high school students and professionals with an interest in programming.
IBM
IBM Data Privacy for Information Architecture
Data privacy controls how information is collected, used, shared, and disposed of, in accordance with policies or external laws and regulations. In this course, students will gain an understanding of what data privacy is along with how to identify and understand typical data protection and privatization objectives that an enterprise may have, and how to choose a data protection approach. The student will gain a background in multiple data privacy mechanisms and practices, and learn how to grow their data protection toolkit. The IBM DataFirst method will be the backbone of the discussion.
UBITS
Potencia tus ventas en el sector retail
Este curso está diseñado para quienes buscan llevar sus habilidades de venta y servicio al cliente en el sector retail al siguiente nivel. Aquí conocerás los secretos para realizar demostraciones de producto irresistibles, ofrecer un servicio al cliente que cautive y fidelice, implementar estrategias de venta cruzada efectivas y aprovechar el poder del trabajo en equipo para impulsar tus resultados. Aprovecha la oportunidad de aprender de la mano de nuestro experto en entrenamiento de ventas y estrategia comercial, quien te brindará las mejores recomendaciones para maximizar tus resultados y llevar tu carrera en retail al siguiente nivel.
Coursera
Build your first Machine Learning Pipeline using Dataiku
As part of this guided project, you shall build your first Machine Learning Pipeline using DataIku tool without writing a single line of code. You shall build a prediction model which inputs COVID daily count data across the world and predict COVID fatalities.DataIku tool is a low code no code platform which is gaining traction with citizen data scientist to quickly build and deploy their models.
Tableau Learning Partner
Data Analysis with Tableau
The Data Analysis with Tableau Course will teach you how to manipulate and prepare data for analysis and reporting. You will also learn how to use the analytics features in Tableau to more effectively calculate analytics versus manual calculations. In this course, you will perform exploratory data analysis as well as create reports using descriptive statistics and visualizations. This course is for anyone who is curious about entry-level roles that demand fundamental Tableau skills, such as business intelligence analyst or data reporting analyst roles. It is recommended (but not required) that you have some experience with Tableau Public, but even if you're new to Tableau Public, you can still be successful in this program. By the end of the course, you will be able to: -Apply Tableau Public techniques to manipulate and prepare data for analysis. -Perform exploratory data analysis using Tableau and report insights using descriptive statistics and visualizations. -Identify the benefits of the analytics feature in Tableau by utilizing this tool versus manually calculating the analytics.
Commonwealth Education Trust
Writing for Young Readers: Opening the Treasure Chest
This course is for curious students and aspiring authors with a passion for writing for young readers. Participate in a dynamic online community of writers as you experiment with your own writing and develop your voice. This course will guide you with a combination of video lectures, online readings, peer reviews, and guest appearances from world-renowned children’s authors. As you work through the writing exercises, you will give and receive feedback from your peers and gain tools and techniques for improving your writing. During this course you will identify stories that matter to you, explore cultural significance and boundaries, and shape your identity as a writer; become familiar with standard elements of narrative (character, setting, plot, theme, language, dialogue, point of view); reflect on your own work and practice essential self-editing skills; see the different ways in which words and art interact, and the possibilities of longer narrative forms; come away with practical insights into publishing options; and create a plan for pursuing your enthusiasm for writing. By the end of the course, you will have ten to twelve extracts of writing that you can develop into a portfolio. Join a dynamic community of many voices from around the world. Find inspiration in your own voice, heart, and place so that you can tell the stories for young readers you’ve always wanted to tell.
Pontificia Universidad Católica de Chile
English for Common Interactions in the Workplace: Basic Level
In a professional environment, we’re often faced with the need to respond appropriately according to what the situation calls for, whether it be related to situations in daily life or the workplace. This course was designed to provide the worker with linguistic tools which will enable greater ease in basic communications in the workplace. This way, the student will be able to broaden their lexical and grammatical repertoire in English, thus increasing their professional value and skill, and contributing to not only professional but also social mobility. The methodology of self-guided instruction will allow the student to manage their own study time, so that they can integrate coursework with the daily demands of their professional life at a rhythm adequate for their own learning process. More importantly, the course is held online, distributed massively, and accessible anywhere in the world through Coursera. En el contexto laboral frecuentemente enfrentamos la necesidad de interactuar de manera adecuada según la situación comunicativa lo amerite, ya sea, reaccionando a situaciones de la vida cotidiana o bien en el lugar de trabajo. Este curso fue diseñado para proporcionar al trabajador herramientas lingüísticas que permitan facilitar interacciones básicas comunes en el lugar de trabajo. De este modo, el estudiante podrá ampliar su inventario léxico y gramatical en el idioma inglés, aumentando así su valor profesional y su competencia laboral, contribuyendo no solo movilidad laboral sino que también social. La metodología auto-instruccional permitirá al estudiante gestionar su propio tiempo de estudio y podrá compatibilizarlo con las exigencias diarias del trabajo, a un ritmo que se adecúe a su proceso de aprendizaje individual. Aún más importante, el curso se dicta en modalidad online, en formato masivo, accesible en distintos lugares del mundo a través de la web de Coursera. This course’s objective is that students be able to utilize basic-level grammatical and lexical structures (CFER level A2) which will enable basic interactions common to the workplace in English. Este curso tiene como objetivo que los alumnos sean capaces de emplear estructuras gramaticales y léxico propios del nivel básico (MCER A2) que permitan facilitar interacciones básicas que son comunes en el lugar del trabajo en inglés. Course contents / Contenidos del curso: Module 1: Everyday Language on the Job • Grammar: present simple to be affirmative, negative question structure, all persons. • Vocabulary: professions / nationalities. • Indefinite article: a/an. • Expressions used when introducing yourself. • Grammar: present simple (I, you, he/she/it, we -- affirmative & negative). • Vocabulary: work routine verbs. • Review of adverbs of frequency. • Times of the day: In the morning /in the afternoon/ at night. Module 2: Making Phone Calls • Grammar: present simple (I, you, he/she/it, we --- questions and short answers). • Vocabulary: telephoning expressions. • Grammar: making suggestions • Vocabulary: numbers/dates • Dates in British English and American English Module 3: Preparing for meeting • Grammar: Going To. • Vocabulary: Flash Review of Cardinal Numbers 1-60. • Telling time. • Grammar: There is / There are • Prepositions of place • Vocabulary: Places around town Module 4: Post-meeting etiquette • Grammar: Past Simple (To Be). • Use of Past Tense of go with good/bad. • Vocabulary: Descriptive Adjectives (it was ...). • Grammar: Past Simple (regular verbs) • Vocabulary: Correspondence Verbs (w. common phrasal verbs)
Packt
Advanced Generative Adversarial Networks (GANs)
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. Embark on an enlightening journey into the realm of Generative Adversarial Networks (GANs), where you will master the art of AI-driven image synthesis. This course begins with a solid foundation, introducing you to the basic concepts and components of GANs, such as the Generator and Discriminator. From there, you will delve into the intricacies of fully connected and deep convolutional GANs, understanding their architectures, and learning how to implement and optimize them effectively. The course progresses with hands-on tutorials using popular datasets like MNIST and CIFAR-10, where you will learn to load, preprocess, and train GAN models. Each step is meticulously explained, ensuring you gain practical knowledge and experience. By leveraging tools such as Google Colab, you will explore the capabilities of GPU acceleration, enhancing your model training efficiency and performance. As you advance, you will tackle more sophisticated topics, including Conditional GANs, label embedding, and model optimization techniques. The course culminates with practical projects where you apply your knowledge to generate and analyze realistic images, bridging the gap between theoretical concepts and real-world applications. This comprehensive approach ensures you emerge with the skills and confidence to harness the full potential of GANs in your projects. This course is designed for data scientists, machine learning engineers, and AI enthusiasts who have a basic understanding of neural networks and Python programming. Familiarity with deep learning frameworks like TensorFlow or Keras is recommended but not mandatory.
Automatic Data Processing, Inc. (ADP)
Exploring the Field of U.S. Payroll
Welcome to Exploring the Field of U.S. Payroll, the fifth and final course in ADP's Entry-level Payroll Specialist Professional Certificate program. This comprehensive course examines the nuances and challenges of payroll operations across various business structures and industries. Learners will gain invaluable insights into the unique payroll considerations for restaurants, non-profit organizations, and global workforces. Additionally, the course emphasizes the importance of accounting principles, recordkeeping requirements, and effective troubleshooting strategies for resolving payroll issues and discrepancies. This is an entry-level course intended for beginner learners interested in learning the fundamentals of payroll, those pursing an entry-level Payroll Specialist role, and more experienced professionals looking to shift their career to purposefully focus on the area of a Payroll Specialist.
EDUCBA
Apply Generative AI Strategies for Effective Leadership
By completing this course, learners will understand core Generative AI concepts, analyze its business impact, apply prompt engineering techniques, evaluate AI opportunities, and formulate leadership-driven strategies for responsible AI adoption. This course empowers current and aspiring leaders to confidently navigate the rapidly evolving world of Generative AI. Designed specifically for decision-makers rather than technologists, it explains how Generative AI works, why it is becoming a daily tool for work, and how it can be applied across business functions to improve productivity, innovation, and decision quality. Learners will gain hands-on exposure to prompt engineering and structured prompt patterns, enabling them to interact effectively with AI tools without needing technical expertise. What makes this course unique is its strong leadership focus combined with practical frameworks such as the A-C-H-I-E-V-E model, which helps leaders identify, prioritize, and scale AI opportunities responsibly. The course also addresses real-world limitations, risks, and ethical considerations, ensuring learners develop balanced and informed AI strategies. By the end of the course, leaders will be equipped to guide AI adoption, sponsor high-impact initiatives, and drive sustainable business value in an AI-enabled organization.