The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
Coursera
Design, Analyze, and Explain Financial Performance
Financial reporting isn’t just about tracking numbers—it’s about explaining what they mean and why they matter. In this intermediate-level course, you’ll learn how to analyze performance through interactive dashboards and clear, written narratives that guide better business decisions. You’ll start by building a dynamic dashboard that compares actuals to budget, complete with filters and drill-through functionality to explore department-level results. Then, you’ll transform those insights into concise commentaries that explain key deviations, their causes, and recommended next steps. Through practical videos, readings, and hands-on exercises, you’ll develop the skills to turn financial data into stories that inform action. By the end of the course, you’ll be able to design insightful dashboards, write compelling performance explanations, and communicate results with confidence—essential abilities for analysts, controllers, and finance business partners.
University of Michigan
Understanding User Needs
Designing effective interactive systems requires understanding the needs and capabilities of the people who will be using them. In this UX course we will focus on how to interact with users (or potential users) to understand what they need, what they currently do, what they love and hate, and examine human capabilities and behavior as they relate to UX design. Learners will be introduced to numerous techniques to gather data from and about users. This course is part of the User Experience (UX) Research and Design specialization offered on Coursera. What you'll learn: Find out what user needs assessments are, what qualitative research is, and how the two are related. Learn an end-to-end methodology for qualitative research that is suited for understanding user needs. The methodology includes knowledge of semi-structured interviews, in-situ observation, and affinity walls. Be exposed to good practices for conducting semi-structured interviews, in-situ observation, and affinity walls. Gain some experience with semi-structured interviews, in-situ observations, and affinity walls.
Coursera
تطوير الالعاب باستخدام برنامج Unity: مدفع الكرات
مشروع " مدفع الكرات " هو مشروع موجه للمطورين المبتدئين اللى عندهم معرفة بسيطة جدا بـ Unity وبلغة الـ C# فى المشروع ده اللى مدته تقريبا ساعة او اقل هتتعلم حاجات مهمة زى 1 - اعدادات يونيتى والنوافذ المهمة اللى فيه 2 - التحكم فى النظام الفيزيائى لـ Unity وتطبيقه على الاشياء 3 - انشاء نظام تحكم للعبة عن طريق الكود عشان نحقق ده هنفهم سوا الاول ايه هو النظام الفيزيائى بتاع يونيتى وازاى نتعامل معاه وهنعرف ايه هى العناصر اللازم الحاقها باى شئ فى Unity عشان يقدر يتعامل مع النظام الفيزيائى ده, هنعرف كمان عنصر مهم وبيستعمل فى معظم الالعاب المهمة زى لعبة AngryBirds وهو عنصر الـ Spring Joint, وهنتعلم كمان ازاى نتحكم فى اللعبة عن طريق التاتش ومن غير اى زراير خالص وهنعرف نوعين مهمين من احداثيات يونيتى وهما الـ World space والـ Screen space هنعرف الفرق بينهم, وكمان هنعرف ازاى نتحكم فى الحاجات دى كلها مش بس عن طريق Unity لكن كمان عن طريق الكود فى الـ C#. سواء كنت بادئ يونيتى من فترة صغيرة او لسة بتبدا خالص اؤكدلك انك هتعرف حاجات جديدة وفى اقل من ساعة هتتعلم مهارات مهمة هتفتحلك نوافذ وافكار جديدة عشان تصنع العاب تقدر تنافس بيها وتضيفها لرصيدك
Universidad de los Andes
Compreender as dimensões interculturais na vida cotidiana
Este MOOC é o resultado de uma Co construção e pesquisa por professoras da Universidad Sorbonne-Nouvelle Paris 3 e da Universidad de los Andes (Colômbia). Seu principal objetivo é fornecer ferramentas para desenvolver dimensões interculturais na vida cotidiana. O curso é destinado a estudantes e profissionais de diferentes áreas além do ensino de idiomas (humanidades e ciências sociais, educação, clínica intercultural, estudos de arte e administração) que têm que enfrentar situações da vida cotidiana e relações com outros, onde ferramentas de reflexão são necessárias para ter uma abordagem intercultural. O(a) estudante deste MOOC desenvolverá a capacidade de refletir sobre sua historicidade (língua, plurilinguismo, filiações, visão cultural), suas identificações, sua identidade plural (idio-cultural e multicultural); da mesma forma, espera-se que o estudante seja mais reflexivo sobre si mesmo e seus discursos nas situações complexas que enfrenta. Ele(a) prestará mais atenção a todas as formas de alteridade nos discursos, ações e tomadas de decisão que empreender; aprenderá a construir terceiros espaços e assumirá o papel de mediador em suas interações sociolinguísticas e experiências sociais. Este curso é destinado a profissionais de diversas áreas (com graduação ou pós-graduação, ou estudos técnicos pós-secundários), envolvidos principalmente no ensino de idiomas, mas não exclusivamente (ciências sociais, educação, administração). No final deste curso o aluno terá ferramentas que lhe permitirão refletir mais cuidadosamente sobre sua história, identidade, linguagem, discurso e reação a situações sociais que envolvam a compreensão intercultural dos demais.
Rice University
Self Awareness and the Effective Leader
Part of being an effective leader is learning how to play to your strengths and overcome characteristics that don't lend to good leadership practices. During the course, you will examine your own strengths and learn ways to use them in a leadership role. Learn to manage stress and solve problems creatively. Throughout the course, you will also build a tool kit of useful techniques that you can begin using right away in your engineering career. This course is designed for engineers who are interested in and have the desire to advance into leadership and management roles. You don't need any leadership experience to do well in this course. We ask you to reflect on your personal experiences pretty often, so some work experience will help you in that aspect, but we hope that most of what you learn here will be applicable to many areas of your life. Looking to advance even further as an engineering manager & leader for Industry 4.0? Rice University's top-ranked School of Engineering now offers a Master of Engineering Management & Leadership, 100% online for your convenience. Visit www.rice.edu/engineeringleaders to learn more.
Google Cloud
Infraestrutura de IA: Cloud TPUs
Este é o curso Cloud TPUs. Vamos conhecer as vantagens e desvantagens das TPUs em vários cenários e comparar diferentes aceleradores de TPU para você escolher a opção mais adequada. Você aprenderá estratégias para maximizar o desempenho e a eficiência dos seus modelos de IA e compreenderá a importância da interoperabilidade de GPU/TPU para fluxos de trabalho flexíveis de machine learning. Usando conteúdo envolvente e demonstrações práticas, guiaremos você no aproveitamento eficaz das TPUs.
Google Cloud
AI 基礎架構：Cloud GPU
想瞭解 AI 背後的強大硬體嗎？本單元將深入解析針對效能最佳化的 AI 電腦，說明其重要性。我們將探討 CPU、GPU 和 TPU 如何大幅加速 AI 任務運算，分析各自的特點，以及 AI 軟體如何充分利用這些硬體效能。單元結束後，您將清楚掌握如何根據 AI 專案挑選合適的 GPU，並做出明智的 AI 工作負載決策。
Coursera
Generate a User Experience (UX) Onboarding Map in Miro
By the end of this project, you will be able to generate a user experience onboarding map to visualize the complete entry process that a user has at the start of their relationship with a brand so that an organization can grow longevity by ensuring that they get off on the right foot with users. To do this you will gain hands-on experience exercising empathy to accurately document brand touchpoint, pain points, and gain points across the onboarding journey in the Miro online visual collaboration platform for teamwork. 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.
Universitat Autònoma de Barcelona
The Olympic Games and the Media
This course gives you a complete insight into the communication and managerial techniques put into practice in the creation of the most important sporting mega event in the world. You will learn about the essentials of television production, programming strategies and television rights management of the Olympic Games. At the same time, you will gain valuable knowledge about the fundamentals of communication via social media and of the Olympic culture which is so closely connected with classic culture and humanism. The Olympic Games are a precise reflector of advanced current societies as a whole. Many of the strategies and trends dealt with in this course are transferable to other fields beyond the world of sport. Este curso te ofrece un conocimiento completo de las técnicas de comunicación y gestión que se ponen en práctica en la creación del acontecimiento deportivo más importante del mundo. Aprenderás las claves de la producción y realización televisiva de los Juegos, su programación y la estrategia de gestión de los derechos audiovisuales de los Juegos Olímpicos. Al mismo tiempo, conseguirás un valioso conocimiento sobre los fundamentos de la comunicación en las redes sociales y la cultura Olímpica, que está estrechamente conectada con la cultura clásica y el humanismo. Los Juegos Olímpicos son un preciso reflector de las sociedades avanzadas modernas consideradas como un todo. Muchas de las estrategias y tendencias que abordamos en este curso pueden aplicarse a otros campos diferentes al mundo del deporte.
Packt
Introduction to RPA, UiPath, and Initial Projects
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. Unlock the world of Robotic Process Automation (RPA) with this hands-on course. You’ll gain foundational skills in RPA and UiPath, mastering the essentials needed to build bots and automate business processes. By the end of the course, you will confidently be able to create simple automation workflows using UiPath, laying the groundwork for more advanced automation projects. Throughout the course, you’ll begin with an introduction to RPA and UiPath, where you’ll understand the power of automation and the core features of UiPath as a leading RPA platform. You’ll explore the RPA lifecycle, dive into various roles within RPA projects, and learn key skills such as logic-building for effective automation. Then, you’ll get hands-on experience by building your first automation bot and familiarizing yourself with the user interface of UiPath, including the home screen, ribbons, panels, and more. As the course progresses, you'll put your knowledge to the test with three practical projects. These projects guide you step-by-step through real-world applications like generating employee IDs, reading Excel files, and creating dynamic sales report automation processes. These exercises allow you to practice skills such as data entry, interacting with websites, and handling dynamic selectors. This course is ideal for beginners who are new to RPA and UiPath. No prior experience is required, but basic knowledge of computers and software will be helpful. By the end, you'll have developed the skills to tackle real-world automation projects and set the stage for more complex RPA development.
UBITS
Servicio al cliente desde el punto de vista logístico
Este curso va dirigido a trabajadores de servicio al cliente y logística, y a cualquier profesional interesado en el supply chain, con particular relevancia para las industrias de retail, manufactura y logística. En este curso, aprenderás a fusionar el servicio al cliente con estrategias logísticas para mejorar la eficiencia en la entrega de productos y fortalecer la cadena de suministro. Explorarás cómo gestionar inventarios de manera efectiva, reducir los tiempos de entrega y alinear las estrategias logísticas con el marketing. Al finalizar, serás capaz de transformar el servicio al cliente en una ventaja competitiva clave de tu negocio, implementando estrategias logísticas avanzadas que aseguran entregas puntuales y gestión precisa de inventarios.
SkillsBooster Academy
AI-powered Marketing with Microsoft Copilot
This course will help you learn how to make marketing decisions based on business objectives, data, and the capabilities of artificial intelligence rather than intuition or isolated tactics. Upon completion, you will be able to systematically analyze markets, customer motivations, and business constraints, develop well-grounded marketing strategies, and use AI as a tool for strategic thinking. Throughout the course, you will master core strategic marketing frameworks—from Product–Market Fit and Jobs-to-be-Done to working with NPS and market trends—and learn how to apply them in practice using Microsoft Copilot. The course demonstrates how to use Copilot not only for content generation, but also for analysis, information structuring, presentation development, and support of managerial decision-making. Special attention is given to prompt engineering. You will learn how to guide AI outputs by setting the right context, constraints, and formats in order to achieve predictable, high-quality results without programming. The final module builds an understanding of the ethical and responsible use of AI in a professional environment. The course is designed for marketers, product and growth specialists, as well as managers and consultants who want to integrate AI into strategic work and improve the quality of their decisions.
Johns Hopkins University
Random Processes
Probability and statistics provide an excellent tool for understanding, modeling and communicating uncertainty in engineering systems. In many applications there is the added challenge of considering random quantities that vary over time and/or space. Examples can be found in seismic applications, financial markets, heterogeneous materials, and image processing, among many others. This course provides an introduction into some of the ways in which random processes and random fields are measured, quantified and communicated. Through video lectures, activities, and interactive content, students will learn about correlation functions, spectral density functions, local average processes and Monte Carlo simulation. There will be an emphasis on understanding each concept, estimating these quantities from data, and using this data as the basis for generating realistic sample random processes. By the end of this course, you will be able to: - Explain the meaning of the correlation function, the spectral density function, homogeneity, ergodicity. - Identify parameters of a random process based on available data. - Relate random process descriptors to reliability via maximum value distributions. - Simulate a random process with desired correlation and/or spectral density function.
Coursera
Build and deploy a stroke prediction model using R
In this project, you’ll help a leading healthcare organization build a model to predict the likelihood of a patient suffering a stroke. The model could help improve a patient’s outcomes. Working with a real-world dataset, you’ll use R to load, clean, process, and analyze the data and then train multiple classification models to determine the best one for making accurate predictions. Upon completion, you’ll produce a well-validated prediction model that showcases your ability to perform a complete data analysis project involving feature engineering, handling missing data, model evaluation, model selection, and model deployment. There isn’t just one right approach or solution in this scenario, which means you can create a truly unique project that helps you stand out to employers. ROLE: Data Analyst SKILLS: R, Data Analysis, Predictive Modeling PREREQUISITES: Load, clean, explore, manipulate, and visualize data in R, Use R to build a prediction model Use R documentations and vignettes to write new codes
Coursera
Linux: Introduction to Shell Scripting for DevOps
In this 1-hour long project-based course on Linux: Introduction to Shell Scripting for DevOps, you will be writing your own Bash/Shell scripts for scratch.You will be going through all of the key components that make up the bash script, from exit statuses, the test command, if/else statements, loops and file archiving. You will no longer be completely confused when looking at Bash scripts, and will have a working knowledge which allows you to start working with scripts yourself. This course is designed for any person working or who intends to work with Linux, from Linux system administrators to developers and DevOps practitioners. Or even if you are a student who is curious to get comfortable with Linux this course is for you also. This is an intermediate level course and is designed for an individual who has a beginner's knowledge of the Linux/Unix command line and Unix crud practices in computer science. 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.
Packt
Apache Spark with Scala – Hands-On with Big Data!
Embark on a journey to master big data processing with Apache Spark and Scala. This course begins with setting up your development environment, ensuring you have a solid foundation in both Spark and Scala. You will dive into a Scala crash course that covers syntax, flow control, functions, and data structures, giving you the essential skills needed to work with Spark. Next, you will explore Spark's core concept, the Resilient Distributed Dataset (RDD). Through a series of hands-on activities and exercises, you will learn to manipulate RDDs, implement key/value operations, and perform complex data transformations. The course then transitions into SparkSQL, DataFrames, and DataSets, where you will practice querying structured data efficiently. You'll also tackle advanced Spark programming, where you’ll apply algorithms to real-world datasets, work with clusters, and optimize performance. As you progress, you will delve into machine learning with Spark MLlib and explore how to build recommendation systems, perform regression analysis, and implement decision trees. Finally, the course introduces Spark Streaming and GraphX, allowing you to process real-time data streams and graph-based data efficiently. By the end of this course, you will have the expertise to leverage Spark and Scala for complex data processing tasks in any industry. This course is designed for software engineers who want to expand their skills into the world of big data processing on a cluster. It is necessary to have some prior programming or scripting knowledge.