The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
Google Cloud
Google Cloud 에서 스트리밍 데이터 파이프라인 빌드하기
이 과정에서는 스트리밍 데이터 파이프라인을 빌드할 때 직면하는 실제 과제를 해결하기 위해 실습을 진행합니다. Google Cloud 제품을 사용하여 지속적이고 무제한적인 데이터를 관리하는 데 중점을 둡니다.
École Polytechnique Fédérale de Lausanne
Programming Reactive Systems (Scala 2 version)
Reactive programming is a set of techniques for implementing scalable, resilient and responsive systems as per the Reactive Manifesto. Such systems are based on asynchronous message-passing, and their basic building-blocks are event handlers. This course teaches how to implement reactive systems in Scala and Akka by using high-level abstractions, such as actors, asynchronous computations, and reactive streams. You will learn how to: - use, transform and sequence asynchronous computations using Future values - write concurrent reactive systems based on Actors and message passing, using untyped Akka and Akka Typed - design systems resilient to failures - implement systems that can scale out according to a varying workload - transform and consume infinite and intermittent streams of data with Akka Stream in a non-blocking way - understand how back-pressure controls flows of data
Packt
MS Teams – Getting Started and Team Management
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 full potential of Microsoft Teams with this comprehensive course, designed to empower you with the skills to deploy, configure, and manage Teams effectively. You'll learn how to leverage Teams' communication and collaboration capabilities, ensuring your organization stays connected and productive. From understanding network requirements to configuring advanced policies, this course covers everything you need to get started with Microsoft Teams. The journey begins with an in-depth look at Microsoft Teams' foundational tools and network configurations. Learn how to use Network Planner, Network Testing Companion, and QoS for seamless deployment. You'll also explore creating and managing Office 365 Groups and implementing critical policies to optimize your Teams environment for security and efficiency. Next, you'll delve into team management, including creating teams, upgrading existing resources, and managing settings and permissions. Master techniques for building org-wide teams, archiving, and restoring teams, and ensuring smooth communication across your organization. Each step is explained with clear demonstrations, ensuring you gain hands-on expertise. This course is perfect for enterprise administrators, IT professionals, and team managers looking to streamline collaboration using Microsoft Teams. A basic understanding of Office 365 and network configurations is recommended. Whether you're a beginner or aiming to refine your management skills, this course equips you with practical knowledge for success.
Stanford University
Introduction to Clinical Data
This course introduces you to a framework for successful and ethical medical data mining. We will explore the variety of clinical data collected during the delivery of healthcare. You will learn to construct analysis-ready datasets and apply computational procedures to answer clinical questions. We will also explore issues of fairness and bias that may arise when we leverage healthcare data to make decisions about patient care. In support of improving patient care, Stanford Medicine is jointly accredited by the Accreditation Council for Continuing Medical Education (ACCME), the Accreditation Council for Pharmacy Education (ACPE), and the American Nurses Credentialing Center (ANCC), to provide continuing education for the healthcare team. Visit the FAQs below for important information regarding 1) Date of the original release and expiration date; 2) Accreditation and Credit Designation statements; 3) Disclosure of financial relationships for every person in control of activity content.
Simplilearn
LLM Benchmarking and Evaluation Training
This comprehensive course on Evaluating and Applying LLM Capabilities equips you with the skills to analyze, implement, and assess large language models in real-world scenarios. Begin with core capabilities, learn summarization, translation, and how LLMs power industry-relevant content generation. Progress to interactive and analytical applications—explore chatbots, virtual assistants, and sentiment analysis with hands-on demos using LangChain and ChromaDB. Conclude with benchmarking and evaluation—master frameworks like ROUGE, GLUE, SuperGLUE, and BIG-bench to measure model accuracy, relevance, and performance. To be successful in this course, you should have a basic understanding of LLMs, Python, and NLP fundamentals. By the end of this course, you will be able to: - Explore LLM Capabilities: Understand summarization, translation, and their applications - Build LLM Applications: Create chatbots and sentiment analysis tools using real-world tools - Evaluate Model Performance: Use ROUGE, GLUE, and BIG-bench to benchmark LLMs - Analyze Use Cases: Assess benefits, limitations, and deployment of LLM-powered solutions Ideal for AI developers, ML engineers, and GenAI professionals.
Banco Interamericano de Desarrollo
Uso de datos en las organizaciones del S.XXI
Este curso te brinda herramientas prácticas para entender el uso de datos en distintos tipos de organizaciones y así tomar decisiones informadas aplicando prácticas de aseguramiento de calidad, éticas y con una perspectiva inclusiva con la información obtenida. A través de 3 módulos podrás identificar los enfoques y las estrategias de analítica de datos y big data y entender su relación con la resolución de problemas. Así mismo, conocerás los fundamentos de las organizaciones data-driven, o basadas en datos. Además, aprenderás a reconocer el proceso de Business Intelligence (BI) y su relación con proyectos que contengan datos como su eje principal. Si eres una persona interesada en datos sin perfil técnico y deseas aprender sobre la importancia del análisis de datos en la parte estratégica del negocio los sectores públicos y privados, así como los oportunidades y desafíos que se presentan, este curso es para ti.
University of Leeds
Sustainability in Business: Building a Greener Future
Drive meaningful change by integrating sustainability into business strategy. This course explores how companies can adopt sustainable business models to address global challenges such as climate change, resource management, and corporate social responsibility. Learn from real-world case studies, including businesses transitioning to renewable energy and implementing the Triple Layer Business Model Canvas. Whether you're new to sustainability or looking to enhance your expertise, this course equips you with practical tools to create long-term value for businesses and society. Join us and take the first step towards a greener, more sustainable business future.
University of Michigan
Capstone: Retrieving, Processing, and Visualizing Data with Python
In the capstone, students will build a series of applications to retrieve, process and visualize data using Python. The projects will involve all the elements of the specialization. In the first part of the capstone, students will do some visualizations to become familiar with the technologies in use and then will pursue their own project to visualize some other data that they have or can find. Chapters 15 and 16 from the book “Python for Everybody” will serve as the backbone for the capstone. This course covers Python 3.
Skillshare
Master Black & White Editing in Affinity Photo
Together with your instructor, Ally, creator of Affinity Revolution, learn how to transform ordinary color photos into breathtaking black & white masterpieces using Affinity Photo. Whether you're editing portraits, landscapes, or creative compositions, this course will guide you through professional workflows for removing color, shaping light, and enhancing detail to achieve stunning results. By the end of this course, you'll be able to: * Convert color images into expressive black & white photographs using the most accurate desaturation methods * Control lighting and contrast to direct attention and create visual impact * Apply sharpening, blurring, and tonal adjustments to refine your final images This course is ideal for photographers, designers, and creative hobbyists who want to elevate their editing skills and gain a deeper understanding of monochrome editing. To be successful in this course, you should be comfortable with the basic tools and interface of Affinity Photo. We’ll work step by step—from exploring tonal conversion methods to completing hands-on editing projects designed to reinforce your skills. Join us and become a black & white editing pro with Affinity Photo! Instructor bio: Ally, the creator of Affinity Revolution, has been teaching people how to use the Affinity creative suite since 2016. Through her easy-to-follow tutorials on Affinity Photo, Designer, and Publisher, she focuses on delivering maximum value in minimal time—making complex tools feel simple and approachable. Ally knows that learning Affinity can feel overwhelming at first, but with her step-by-step guidance, you’ll quickly gain confidence and master the skills to bring your creative projects to life.
Automatic Data Processing, Inc. (ADP)
Getting Started with U.S. Payroll Fundamentals
Welcome to Getting Started with U.S. Payroll Fundamentals, the third course in ADP's Entry-level Payroll Specialist Professional Certificate program. This foundational course examines the core concepts and essential variables that underpin the U.S. payroll system. Students will explore the central role of employees in payroll operations, including pay variables, payment methods, and payroll register reports. Learners will develop a solid foundation in U.S. payroll fundamentals, enabling them to navigate the complexities of employee compensation and comply with relevant labor laws and regulations. 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.
Coursera
How to use roadmaps in Jira
In this 1.5 hour guided project you will learn to use basic roadmaps in Jira, creating epics and issues, planning and visualizing timelines and assignments, editing progress and dependencies, adding labels and finally exporting and sharing the roadmap with project team mates and stakeholders.
Edureka
Python for Data Visualization and Analysis
This Python for Data Visualization Analysis course provides a practical introduction to data visualization and exploratory data analysis (EDA) using Python. You will work with Matplotlib and Seaborn to create clear and effective visualizations, use Plotly to build interactive charts and dashboards, and apply advanced graphical techniques for EDA on complex datasets. Learn to present data clearly and extract meaningful insights through visual analysis. By the end of this course, you’ll be able to: - Understand the importance of various visualization techniques. - Select appropriate chart types for visualizing diverse datasets. - Create professional-quality visuals with Matplotlib, Seaborn, and Plotly. - Develop interactive dashboards and visuals with Plotly and IPyWidgets. - Perform EDA on complex datasets and deploy the results using Streamlit. This course is ideal for learners with foundational knowledge of Python programming and a basic understanding of data manipulation. Familiarity with libraries such as Pandas or NumPy is recommended. Whether you're a data analyst, aspiring data scientist, or Python programmer looking to sharpen your data visualization skills, this course equips you with the tools to transform raw data into meaningful stories. Elevate your data analysis journey—enroll in Data Visualization and Exploratory Data Analysis with Python today!
EDUCBA
Mastering Apache Solr: Index, Search & Analyze Content
Learners will index diverse content types, apply OCR processing, configure multilingual search, integrate Java applications, and implement advanced faceted search using Apache Solr. This course equips learners with the practical skills to build fast, scalable, and intelligent search solutions for real-world applications. Throughout the course, learners benefit from hands-on exposure to Solr’s full capabilities—from extracting text with Apache Tika and Tesseract to indexing PDFs, Word documents, images, and CSV files. They will also explore Solr’s internal architecture, understand how search queries are processed, and apply programmatic indexing and retrieval using Java. What makes this course unique is its end-to-end focus on real data formats, step-by-step practical demonstrations, and clear integration of external tools that modern search systems rely on. By the end, learners will be able to design, build, and optimize powerful search experiences that mirror professional, production-level implementations. This course is ideal for developers, analysts, and technical professionals seeking to elevate their expertise in enterprise search technologies.
The State University of New York
Ignite Your Everyday Creativity
Creativity is an essential skill for the 21st Century that is innate in all people and can be nurtured. We constantly need new and better ideas for almost every aspect of our professional and personal lives. The goal of this course is to help you recognize, develop and act upon the creativity that you already possess. We will accomplish this using three methods: b aware, b inspired, and b creative. Upon completion of this course participants will: Recognize the inherent creativity in yourself and others. Identify characteristics of a creative person that relate to yourself. Develop creative problem solving skills using the basic elements of the creative process. Examine qualities of a creative environment in real world settings. Evaluate an idea using the creative product criteria.
Kennesaw State University
AI for Education (Intermediate)
This course expands on the AI for Education (Basic) course. Participants will learn quick ways to refine prompt engineering methods for assignments and course design that can be scaled to multiple levels of educational contexts. This course further provides straightforward and practical definitions, scenarios, and prompt engineering methods with real-time demonstrations in diverse educational learning environments. Participants will be provided tested methods for prompting an AI Assistant, such as GPT to yield useful, relevant, accurate, and ethical outputs. Learners will gain a clear understanding of how to collaborate with an AI Assistant and how to encourage students to do so in ethical ways. Knowing how to describe and collaborate with AI Assistants effectively and rhetorically is a vital skillset to successfully engage with students in all types of learning environments, from secondary to college levels. This course is a beginning step in learning these skills.
DeepLearning.AI
Linear Algebra for Machine Learning and Data Science
Newly updated for 2024! Mathematics for Machine Learning and Data Science is a foundational online program created by DeepLearning.AI and taught by Luis Serrano. In machine learning, you apply math concepts through programming. And so, in this specialization, you’ll apply the math concepts you learn using Python programming in hands-on lab exercises. As a learner in this program, you'll need basic to intermediate Python programming skills to be successful. After completing this course, you will be able to: • Represent data as vectors and matrices and identify their properties using concepts of singularity, rank, and linear independence, etc. • Apply common vector and matrix algebra operations like dot product, inverse, and determinants • Express certain types of matrix operations as linear transformations • Apply concepts of eigenvalues and eigenvectors to machine learning problems Many machine learning engineers and data scientists need help with mathematics, and even experienced practitioners can feel held back by a lack of math skills. This Specialization uses innovative pedagogy in mathematics to help you learn quickly and intuitively, with courses that use easy-to-follow visualizations to help you see how the math behind machine learning actually works. We recommend you have a high school level of mathematics (functions, basic algebra) and familiarity with programming (data structures, loops, functions, conditional statements, debugging). Assignments and labs are written in Python but the course introduces all the machine learning libraries you’ll use.