The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
EDUCBA
NumPy & Pandas: Analyze & Transform Data
By completing this course, learners will be able to analyze datasets using NumPy and Pandas, perform efficient numerical operations, reshape and clean data, handle missing values, and apply end-to-end data analysis workflows on real-world datasets. The course begins with the foundations of NumPy, focusing on array structures, memory optimization, and statistical operations. It then transitions into Pandas, guiding learners through creating DataFrames, performing joins, pivots, and unpivots, as well as exploring, sorting, and cleaning data. Finally, learners will advance to practical applications, mastering aggregation, filtering, and conditional operations before applying these skills to real-world projects like the Wine dataset. What makes this course unique is its step-by-step progression from core numerical computing concepts to applied data analysis projects, ensuring that learners not only understand the theory but also gain hands-on practice. Whether you are a beginner aiming to strengthen your foundations or a professional seeking to improve your data analysis efficiency, this course will equip you with the essential skills to transform raw data into actionable insights using NumPy and Pandas.
Coursera
GenAI Chatbots: Create and Deploy OpenAI-Powered Chatbots
With the increasing demand for personalized and efficient customer service, the rise of chatbots offers organisations a scalable solution to engage with users in real-time and enhance overall customer satisfaction. In the education field, the proliferation of chatbots has revolutionized the way students access information and engage with learning materials. By providing instant, personalized assistance as well as interactive learning experiences, chatbots empower educators to provide more effective support. In this project-based course, we aim to empower learners with the skills to develop an AI-powered chatbot integrated with interactive dashboards. Throughout the course, participants will learn how to leverage FastAPI to build a robust backend API for a chatbot that leverages Retrieval Augmented Generation and OpenAI's natural language capabiilities. The API enables seamless communication with a third-party Dash dashboard. This course is designed for individuals interested in combining AI technologies with web development. No prior experience with FastAPI or Dash is required, but familiarity with Python programming is recommended. The project culminates in the development of a fully functional AI-powered chatbot deployed alongside an interactive dashboard. This hands-on experience offers a practical application of FastAPI and Dash skills, equipping learners with the tools to create innovative chatbot solutions that bridge the gap between AI and web development.
Erasmus University Rotterdam
Qualitative Comparative Analysis (QCA)
Welcome to this massive open online course (MOOC) about Qualitative Comparative Analysis (QCA). Please read the points below before you start the course. This will help you prepare well for the course and attend it properly. It will also help you determine if the course offers the knowledge and skills you are looking for. What can you do with QCA? • QCA is a comparative method that is mainly used in the social sciences for the assessment of cause-effect relations (i.e. causation). • QCA is relevant for researchers who normally work with qualitative methods and are looking for a more systematic way of comparing and assessing cases. • QCA is also useful for quantitative researchers who like to assess alternative (more complex) aspects of causation, such as how factors work together in producing an effect. • QCA can be used for the analysis of cases on all levels: macro (e.g. countries), meso (e.g. organizations) and micro (e.g. individuals). • QCA is mostly used for research of small- and medium-sized samples and populations (10-100 cases), but it can also be used for larger groups. Ideally, the number of cases is at least 10. QCA cannot be used if you are doing an in-depth study of one case. What will you learn in this course? • The course is designed for people who have no or little experience with QCA. • After the course you will understand the methodological foundations of QCA. • After the course you will know how to conduct a basic QCA study by yourself. How is this course organized? • The MOOC takes five weeks. The specific learning objectives and activities per week are mentioned in appendix A of the course guide. Please find the course guide under Resources in the main menu. • The learning objectives with regard to understanding the foundations of QCA and practically conducting a QCA study are pursued throughout the course. However, week 1 focuses more on the general analytic foundations, and weeks 2 to 5 are more about the practical aspects of a QCA study. • The activities of the course include watching the videos, consulting supplementary material where necessary, and doing assignments. The activities should be done in that order: first watch the videos; then consult supplementary material (if desired) for more details and examples; then do the assignments. • There are 10 assignments. Appendix A in the course guide states the estimated time needed to make the assignments and how the assignments are graded. Only assignments 1 to 6 and 8 are mandatory. These 7 mandatory assignments must be completed successfully to pass the course. • Making the assignments successfully is one condition for receiving a course certificate. Further information about receiving a course certificate can be found here: https://learner.coursera.help/hc/en-us/articles/209819053-Get-a-Course-Certificate About the supplementary material • The course can be followed by watching the videos. It is not absolutely necessary yet recommended to study the supplementary reading material (as mentioned in the course guide) for further details and examples. Further, because some of the covered topics are quite technical (particularly topics in weeks 3 and 4 of the course), we provide several worked examples that supplement the videos by offering more specific illustrations and explanation. These worked examples can be found under Resources in the main menu. • Note that the supplementary readings are mostly not freely available. Books have to be bought or might be available in a university library; journal publications have to be ordered online or are accessible via a university license. • The textbook by Schneider and Wagemann (2012) functions as the primary reference for further information on the topics that are covered in the MOOC. Appendix A in the course guide mentions which chapters in that book can be consulted for which week of the course. • The publication by Schneider and Wagemann (2012) is comprehensive and detailed, and covers almost all topics discussed in the MOOC. However, for further study, appendix A in the course guide also mentions some additional supplementary literature. • Please find the full list of references for all citations (mentioned in this course guide, in the MOOC, and in the assignments) in appendix B of the course guide.
University of Colorado System
Foundation and Potential of AI in Healthcare
This course introduces how AI shapes modern health systems, exploring key applications, adoption trends, and its role in digital transformation. Learners will assess AI’s potential to enhance healthcare capabilities, improve efficiency, and address major challenges. Designed for anyone interested in AI in healthcare, the course offers real-world examples to help participants evaluate AI’s impact, opportunities, and limitations in health systems.
DeepLearning.AI
Последовательные модели
Данный курс научит вас строить модели естественных языков, звуков и других последовательных данных. Благодаря глубокому обучению последовательные алгоритмы сегодня работают в разы лучше, чем ещё два года назад. Это открывает широчайший спектр возможностей применения алгоритмов в распознавании речи, синтезе музыки, чат-ботах, машинном переводе, понимании естественных языков и во многом другом. Вы научитесь: — строить и обучать рекуррентные нейронные сети (РНС, RNN), а также широко используемые управляемые рекуррентные блоки (УРБ, GRU) и долгую краткосрочную память (ДКП, LSTM); — применять последовательные модели в задачах по обработке естественного языка, включая синтез текста; — применять модели последовательностей к звуковой информации, например для распознавания речи или синтеза музыки. Это пятый и заключительный курс специализации «Глубокое обучение». Задача по программированию машинного перевода с глубоким обучением, содержащаяся в этом курсе, разработана deeplearning.ai совместно с партнером — Институтом глубокого обучения NVIDIA (DLI). У вас будет возможность создать проект по глубокому обучению с современным, актуальным для индустрии содержанием.
École Polytechnique Fédérale de Lausanne
Economie du sol et de l'immobilier II
Quels sont les liens entre les prix fonciers, les prix immobiliers et les prix pour l'usage des immeubles? Est-ce que les prix immobiliers permettent de comprendre les prix fonciers? Ou l'inverse? Quels sont les calculs faits par les opérateurs sur ces marchés? On a le sentiment que ces marchés sont liés les uns aux autres. Avec ce cours, vous comprendrez mieux comment. En passant, vous aurez acquis une meilleure compréhension des mécanismes économiques qui peut être utile dans d'autres domaines. Un cours d'économie qui ne présuppose aucune connaissance économique formelle autre que celle qui a été développée dans les premiers modules de la première partie de ce cours, le cours Economie du sol et de l'immobilier I. Dans ce deuxième cours (Economie du sol et de l'immobilier II), nous aborderons: • Le compte à rebours du promoteur et son influence sur le prix foncier • Le calcul du promoteur et du développeur foncier en général • L'offre et la demande sur les marchés et comment ils déterminent et font varier les prix • La différenciation des sols selon leur situation urbaine
Banco Interamericano de Desarrollo
How to plan green and resilient housing?
In this course, you will learn about the importance of housing as a basic social condition that determines quality of life and population well-being. The program agenda of Habitat II, presented at the United Nations Conference on Human Settlements in Istanbul in 1996, will be addressed, emphasizing the need to meet housing demand from a comprehensive perspective.This approach not only provides a roof to shelter people but also ensures thermal comfort, adequate sanitation, and adaptation to the environmental conditions surrounding the home. The Inter-American Development Bank (IDB) promotes inclusion and access to decent and sustainable housing, generating knowledge and tools to foster more inclusive societies. Through IDBAcademy, this course offers insights from experts in urban development, sustainability, and housing policies, providing skills to plan, design, and manage housing solutions that improve people’s quality of life. The course focuses on housing accessibility and affordability for all social groups, guaranteeing inclusion and equity. It seeks to enhance participants’ professional development by strengthening their ability to lead transformation processes in housing and urban development across the region. By the end of the course, participants will be better equipped to implement comprehensive approaches that not only meet basic housing needs but also promote social well-being and contribute to sustainable development.
Google Cloud
Gemini in Gmail - Deutsch
Gemini für Google Workspace ermöglicht Kunden den Zugriff auf generative KI-Funktionen in Google Workspace. Dieser Mini-Kurs vermittelt Ihnen die wichtigsten Gemini-Funktionen. Sie erfahren, wie Sie diese Funktionen in Gmail einsetzen können, um produktiver und effizienter zu arbeiten.
University of California, Irvine
Gestión de proyectos: las bases del éxito
En este curso se combinan los elementos esenciales de la gestión de proyectos y el liderazgo de equipo en un único contenido. A través de la participación y reflexión en clase, adquirirás una mayor comprensión de las responsabilidades que conlleva el liderazgo y una mejor preparación para aplicar este conocimiento en el entorno de un proyecto.
Real Madrid Graduate School Universidad Europea
El futuro de los medios deportivos y los retos futuros
Este curso ofrece una mirada hacia el futuro de los medios deportivos, centrándose en los cambios económicos, tecnológicos y de comportamiento de la audiencia que están transformando el sector. El alumnado explorará cómo están evolucionando los modelos de ingresos tradicionales, el papel de los medios en los grandes eventos y la necesidad de estrategias sostenibles y escalables para el negocio. También se analizarán nuevos patrones de consumo, incluyendo el auge de nuevas audiencias nicho y globales, el potencial mediático del deporte femenino y la gamificación como vía de engagement. El curso profundiza en tecnologías emergentes como experiencias inmersivas, gemelos digitales, inteligencia artificial, realidades mixtas, y su impacto en el contenido, la monetización y el rol estratégico de los medios. Al finalizar, los alumnos estarán preparados para anticipar tendencias, comprender los cambios del sector y pensar de forma estratégica sobre el futuro de los medios en el deporte.
University of California San Diego
Combinatorics and Probability
Counting is one of the basic mathematically related tasks we encounter on a day to day basis. The main question here is the following. If we need to count something, can we do anything better than just counting all objects one by one? Do we need to create a list of all phone numbers to ensure that there are enough phone numbers for everyone? Is there a way to tell that our algorithm will run in a reasonable time before implementing and actually running it? All these questions are addressed by a mathematical field called Combinatorics. In this online course we discuss most standard combinatorial settings that can help to answer questions of this type. We will especially concentrate on developing the ability to distinguish these settings in real life and algorithmic problems. This will help the learner to actually implement new knowledge. Apart from that we will discuss recursive technique for counting that is important for algorithmic implementations. One of the main ‘consumers’ of Combinatorics is Probability Theory. This area is connected with numerous sides of life, on one hand being an important concept in everyday life and on the other hand being an indispensable tool in such modern and important fields as Statistics and Machine Learning. In this course we will concentrate on providing the working knowledge of basics of probability and a good intuition in this area. The practice shows that such an intuition is not easy to develop. In the end of the course we will create a program that successfully plays a tricky and very counterintuitive dice game. As prerequisites we assume only basic math (e.g., we expect you to know what is a square or how to add fractions), basic programming in python (functions, loops, recursion), common sense and curiosity. Our intended audience are all people that work or plan to work in IT, starting from motivated high school students.
Icahn School of Medicine at Mount Sinai
Responsible Medication Prescribing for Older Adults
Older adults are more likely to consume more prescription and non-prescription medications, and this can place them at high risk for unintended harmful effects. An important component of the care of older adults relates to medication management. This course offers healthcare professionals and learners a comprehensive understanding of the physiological changes that occur with aging and their implications on medication management. It aims to equip participants with essential knowledge and skills to ensure safe and appropriate prescribing for older adults. Through a series of engaging presentations, attendees will explore key concepts in pharmacology, evidence-based frameworks, and interdisciplinary practical strategies to optimize prescribing practices and enhance patient care across the continuum of care sites.
IIT Bombay
Introduction to Business Management: Winning Internally
Develop a broad understanding of how winning companies operate internally to create successful businesses and high-performing organizations. This comprehensive course provides the knowledge to make informed career choices for students deciding on the next degree, emerging leaders exploring cross-functional opportunities, or entrepreneurs starting a new business. In the first module, 'Understanding Business, Company, and Structures,' you will learn fundamental concepts such as types of business, company structures, and the value chain. You will develop a practical understanding of how companies are structured and how different functions operate seamlessly to create customer value. The second module, 'Vision, Mission, Strategy, Innovation, and Product Development,' helps you appreciate the critical strategic elements that drive sustainable competitive advantage. You will understand the importance of a long-term vision, a strong sense of purpose, corporate values and strategies, and innovation and new product development processes. The third module, 'Manufacturing and Finance', will equip you with knowledge of core day-to-day internal operations across manufacturing processes and quality management. You will learn about the fundamentals of accounting, financial statements, and financial management, which are crucial for informed business decisions. Finally, in the fourth module, 'Leadership, Human Resources, and ESG,' you will explore different leadership skills and styles, HR functions such as recruitment, training, performance management, and ESG (Environment, Social, Governance) factors in modern businesses. By the end of this course, you will develop the skills to navigate organizations' internal complexities better and apply them in real-world scenarios. This course complements 'BUS102 Introduction to Business Management—Winning Externally', which provides the knowledge and skills for superior performance in the external marketplace and developing profitable customer relationships.
Packt
Bootstrap 5 From Scratch - Build 5 Modern Websites
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. Master Bootstrap 5 by building five modern, fully responsive websites from scratch. This hands-on course takes you from the fundamentals of Bootstrap, including its grid system, typography, and UI components, to advanced features like dynamic JavaScript elements, Sass customization, and deployment strategies. By the end, you'll have a deep understanding of Bootstrap and practical experience in crafting real-world websites. You'll begin with an introduction to Bootstrap and its essential components, learning how to structure layouts, apply styling, and utilize Bootstrap’s powerful utilities. Next, you’ll dive into interactive JavaScript-driven features such as carousels, modals, tooltips, and dark mode toggles. As you progress, you'll refine your front-end development skills with mini-project challenges that reinforce core concepts. The heart of this course is the creation of five diverse websites, including an eBook store, a training platform, a personal portfolio, an office design firm site, and a software solutions company page. Each project will help you master different aspects of Bootstrap, from navigation bars to form validation, animations, and responsive design techniques. You'll also learn how to deploy your sites using modern hosting platforms. Perfect for beginners and intermediate web developers, this course requires basic HTML and CSS knowledge. If you're looking to level up your front-end development skills with Bootstrap 5, this is the course for you.
University of Colorado Boulder
The Softer Side of Science Communication
In this course, you will continue to explore how to develop and implement evidence-based methods for science communication. Here we’ll be looking at the softer but no less important side of science communication. We’ll cover the basics of human emotion, building connection with your audience through empathy and authenticity, how improv can improve your science communication game, non-verbal communication, and managing adversity in science communication. We’ll close with a discussion of how to be an inclusive and trauma-informed science communicator.
Coursera
Unlocking Business Insights through Storytelling with Data
This course delves into the captivating world of data storytelling, illuminating how data, when woven into narratives, can paint compelling pictures that drive decision-making and inspire change. It's a journey from the fundamentals of data visualization to the artistry of narrative building, designed for those who seek to make their data speak to audiences in meaningful ways. Through this course, participants will explore the intersection of analytics and creativity, learning to convert complex datasets into clear, impactful stories. Whether the goal is to influence business strategies, share insights in academia, or engage the public, this course equips you with the skills to bring data to life through powerful storytelling. This course is designed for data analysts, marketers, journalists, educators, and students in data-related fields. Whether you're exploring datasets for insights, crafting marketing narratives, or enhancing journalism with data-driven stories, this course enhances your storytelling through impactful data visualization. Participants should have a basic grasp of data analysis concepts and be familiar with tools like Microsoft Excel for creating visualizations. Enthusiasm for refining storytelling and presentation skills is encouraged. This course is ideal for those eager to enhance their ability to communicate data insights effectively. By the end of the course, participants will adeptly navigate the intersection of data visualization and storytelling, enhancing audience engagement and comprehension. Through advanced design principles and storytelling techniques, they'll synthesize compelling data visualizations that resonate with their intended audience. Cultivating a critical eye for data integrity, relevance, and biases, they'll ensure narrative objectivity. Finally, mastering diverse tools and software, they'll craft engaging, visually appealing data stories.