The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
Google Cloud
Troubleshooting and Solving Data Join Pitfalls
This is a self-paced lab that takes place in the Google Cloud console. This lab focuses on how to reverse-engineer the relationships between data tables and the pitfalls to avoid when joining them together.
Alignor
Dealing With External Stakeholders In A Diverse Environment
This course is the third of a series that will help you become an effective leader and advocate, both within and outside your organization, on issues related to diversity, equity and inclusion. In this course, you’ll explore various approaches to interacting with stakeholders who represent perspectives outside your own organization and/or perspective. Whether you are dealing with sales interactions, personal interactions or other difficult situations, you’ll be able to practice and hone your skills for engaging external stakeholders, at work and beyond. You’ll learn by playing games (realistic simulations) in which animated characters challenge you to understand their perspectives and interests. The simulations cover a wide range of situations in where you must deal with external stakeholders, providing a safe space to practice difficult conversations and explore diverging perspectives. By the end of this course, you’ll be able to: • Confirm your assumptions about the interests of others • Ask key questions to figure out people’s underlying interests • Target your communication to the interests of external stakeholders • Anticipate, acknowledge, and handle the objections of external stakeholders • Communicate “cautionary tales” to objecting stakeholders, if necessary • Influence the decision-making of external stakeholders The intended audience for this course is leaders, managers, team leads, team members, HR professionals, and others who interact in a team environment. The prerequisites for this course include experience interacting in a team environment, and any relevant experience either giving or receiving feedback to or from others.
IBM
JavaScript Full Stack Capstone Project
Show your mastery of JavaScript full-stack application development by completing this capstone project! In this course, you will apply your knowledge and skills to a real-life inspired challenge and use your expertise to develop a successful solution. The project provides you with an opportunity to solidify your JavaScript full-stack proficiency. As you design a dynamic user experience using React, you will develop frontend pages, build services for communication with a NoSQL Mongo database, and configure CI/CD pipelines, all while applying Agile practices. In this capstone, you apply knowledge of in-demand skills such as: - Architecting an application - Creating a dynamic frontend using HTML, CSS, and the React JavaScript library - Communicating with backend services such as databases - Use DevOps practices such as CI/CD pipelines - Deploying a serverless application - Creating and invoking RESTful microservices - Deploying the entire solution on the cloud using Kubernetes When you complete this project, you will have a working full-stack application that will impress potential employers. Before starting this course, we highly recommend you complete all the courses offered in the IBM JavaScript Full Stack Software Developer Professional Certificate.
The University of Tokyo
Let’s Read! Learning Japanese through Science & Technology-1
東京大学の研究内容に基づく科学技術に関する文章を読み、基礎的な日本語の専門語彙や重要な表現の使い方を習得しながら、読解力を向上することができる。また、読解学習にとどまらず、テキスト動画やインタビュー動画を利用し、「聴く」、「話す」、「書く」といった連繫した力を養うことができる。さらに、理工学系の知識を発展的に広げ、深めることができる。 教材は、日本語教育の専門教員が作成したテキストや動画に加え、理系の専門教員にインタビューした動画を含む。それを内容重視アプローチ(content-based learning)を利用し、効率的に学ぶことができる。また、内容重視アプローチは学習者のモチベーションを上げ、中級のレベルではあるが、アカデミックな語彙を含むより高いレベルの語学力を身に付けることができる。 This course focuses on improving Japanese reading comprehension through vocabulary and expressions retention, with a theme of Science and Engineering research at the University of Tokyo. In addition to reading, illustration videos and interview videos allow you to practise "listening" and "writing" skills. You can also broaden and deepen your knowledge in the related areas.
Google Cloud
Introduction to Gemini for Google Workspace - Indonesian
Gemini untuk Google Workspace adalah add-on yang menyediakan fitur AI generatif bagi pelanggan di Google Workspace. Dalam jalur pembelajaran ini, Anda akan mempelajari berbagai fitur penting di Gemini dan cara penggunaannya untuk meningkatkan produktivitas dan efisiensi di Google Workspace.
Packt
Solidity In-Depth: Arrays, Mappings, and Advanced Structures
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. Dive deep into Solidity's core data structures in this advanced course that builds on foundational knowledge of smart contract programming. Starting with constructors, you'll explore how to initialize smart contracts and manage state variables. The course transitions to mastering arrays in Solidity, covering crucial methods like push, pop, and length, as well as array manipulation techniques such as deletion and compacting arrays. Next, you’ll learn to work with enums, structs, and mappings, essential components for creating more complex and efficient smart contracts. The course includes hands-on exercises to practice writing custom data types and associating values with mappings, and you'll solve real-world coding challenges along the way. Enums and structs are covered in detail, showing how to group data and define custom types, preparing you to write more structured and maintainable contracts. Lastly, the course dives into nested mappings and the assignment of structs within mappings, a powerful tool for developing scalable and secure contracts. By the end, you will have mastered the tools needed to work with advanced Solidity data structures, laying a solid foundation for further exploration of blockchain development. This course is designed for developers with a basic understanding of Solidity and blockchain development. Prerequisites include familiarity with smart contracts, basic Solidity syntax, and introductory data structures.
Università di Napoli Federico II
Data Visualization e manipolazione dei dati con Tableau
I contenuti di questo corso sono pensati per permettere agli utilizzatori di Tableau di migliorare le proprie capacità sull’uso del tool, a un livello intermedio. Spesso i dati provengono da fonti diverse; dobbiamo quindi essere in grado di stabilire tra questi delle relazioni che ci permettano di includere in un’analisi tutte le informazioni di cui abbiamo bisogno. Vedremo quindi come costruire queste relazioni su Tableau, ricorrendo a Join, Union e Data Blending. Lavoreremo con i campi calcolati e i parametri. I primi sono nuovi campi (dimensioni e misure) che, a partire dalla logica utilizzata, aggiungono nuovi dati al data base di partenza. I secondi, invece, sono valori dinamici che possono essere impiegati in tantissimi modi per personalizzare i propri calcoli e la loro visualizzazione all’interno dello spazio di lavoro. Vedremo come Tableau esegue le operazioni di calcolo secondo un ordine preciso, che influisce sui risultati dei calcoli che facciamo. Andremo infine a lavorare con i dati geografici. Nel processo analitico, sono diverse le domande che possiamo porci. Padroneggiando le conoscenze sulla manipolazione dei dati geografici possiamo rispondere al “dove”, un aspetto fondamentale da considerare nel processo analitico.
Google Cloud
Intro to TensorFlow em Português Brasileiro
O objetivo deste curso é aproveitar a flexibilidade e a facilidade de uso do TensorFlow 2.x e do Keras para criar, treinar e implantar modelos de machine learning. Você aprenderá sobre a hierarquia da API TensorFlow 2.x e conhecerá os principais componentes do TensorFlow nos exercícios práticos. Mostraremos como trabalhar com conjuntos de dados e colunas de atributos. Você aprenderá a projetar e criar um pipeline de entrada de dados do TensorFlow 2.x. Você terá uma experiência prática com o carregamento de dados CSV, matrizes numpy, dados de texto e imagens usando o tf.Data.Dataset e com a criação de colunas de atributos numéricas, categóricas, em bucket e com hash. Apresentaremos as APIs Keras Sequential e Keras Functional para mostrar como criar modelos de aprendizado profundo. Abordaremos as funções de ativação, perda e otimização. Nos laboratórios práticos dos notebooks do Jupyter, você poderá criar modelos de machine learning de regressão linear básica e de regressão logística básica e avançada. Você aprenderá a treinar, implantar e produzir modelos de machine learning em escala com o AI Platform do Cloud.
Microsoft
Power Virtual Agents
This course will teach you the ease of creating chatbots with Power Virtual Agents. This no-code platform will allow you to build intelligent bots that can talk to your customers and employees and enhance their overall user experience. You'll learn how to define conversation topics, design interactive dialogues, and publish your chatbot across various platforms like Microsoft Teams, Facebook, and etc. The course concludes by demonstrating how to analyze your chatbot's performance, allowing you to continuously refine and improve its effectiveness.
Coursera
Validate HTML Forms with JavaScript and HTML
By the end of this project, you will have written and tested JavaScript and HTML code that validates data values entered into input fields on an HTML form. Data validation is a valuable skill in web development. Notifying users of input errors not only improves the user experience it also helps to ensure that any data collected via a form is as accurate as possible before sending it to a server for processing. 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.
EDUCBA
Linear Regression & Predictive Modeling with SPSS
By the end of this course, learners will be able to apply linear regression techniques, interpret statistical outputs, and implement predictive models using SPSS and Excel. Through a blend of foundational theory and real-world applications, students will gain hands-on experience in analyzing datasets across engineering, energy, and finance. The course begins with the fundamentals of regression, covering model building, scatter plots, T-values, and interpretation of results. It then progresses to practical case studies, where learners apply regression to scenarios such as copper expansion and energy consumption. Finally, the course explores advanced financial applications, including debt-to-income analysis, credit card debt modeling, and predictive forecasting. What makes this course unique is its practical, cross-domain approach—learners don’t just study equations, but apply regression to engineering problems, sustainability data, and financial risk analysis. By combining SPSS with Excel-based forecasting, the course equips students with industry-relevant skills for predictive analytics, risk assessment, and strategic decision-making. Whether you are a data analyst, business professional, or student, this course will help you transform raw data into actionable insights using regression modeling.
University of Michigan
Web Design for Everybody Capstone
The capstone will develop a higher-quality web portfolio. Students will demonstrate the ability to design and implement a responsive site for a minimum of three platforms. Adherence to validation and accessibility standards will be required. The evolving student implementations will be reviewed each week by capstone peers and teaching assistants to make sure that the student keeps up with the agenda of the course. Upon completion of this course students will feel comfortable creating and/or updating existing front-end sites, utilizing existing frameworks, and testing sites for accessibility compliance. This course is only open to students who have completed the first four courses in the Web Design for Everybody specialization: Introduction to HTML5, Introduction to CSS3, Interactivity with JavaScript, and Advanced Styling with Responsive Design.
LearnQuest
Scrum Certification with AI
Agile and Scrum remain essential frameworks for modern teamwork, but artificial intelligence is reshaping how teams plan, adapt, and deliver. Introduction to AI in Scrum prepares you to apply AI tools directly within Scrum events and artifacts, without breaking the principles of Agile. You will learn how to enhance standups, retrospectives, and backlog refinement with AI-powered insights. You will practice using AI responsibly by adopting guardrails for data, ethics, and human oversight. You will also explore how predictive analytics can make risks visible earlier, giving your team more options for action. By the end of this course, you will be able to explain how AI fits into Scrum, discuss specific AI use cases in backlog management and sprint planning, and describe how to tailor AI tools to your team’s workflow. You will leave with practical prompts, examples, and methods you can use immediately in your workplace.
University of Colorado Boulder
Social Media Advertising
Social media platforms are driven by digital advertising. As a result, social media advertising is affordable and can be purchased at almost any budget. Targeting options in social media advertising are also sophisticated. It is possible to tailor ads around a user’s behaviors (e.g., likes, posts and clicks). This course unpacks small business use cases of Facebook, Instagram and Twitter advertising. From basic campaigns, to advanced techniques including lookalike modeling and audience retargeting, this course shows how to effectively advertise on three major social media platforms.
VMware
VMware NSX를 활용한 네트워킹 및 보안 아키텍처
본 8주 온라인 강좌를 통해 VMware NSX를 이용한 네트워크 가상화의 기초를 학습합니다. 본 강좌의 학습 성취도를 높이기 위해서는 라우팅, 스위칭, 방화벽, 재해 복구, 비즈니스의 연속성, 클라우드 및 보안에 대한 일반적인 IT 개념을 숙지하고 있어야 합니다. 본 강좌의 학습을 마친 후에는 • 네트워크 가상화의 기본을 이해 • NSX의 비즈니스적 가치와 사례를 설명 • 기존 네트워킹과 NSX 간의 차이를 설명 • 다음 핵심 영역에 대한 VMware NSX 네트워크 및 보안을 정리 + 초미세화 + OpenStack을 통한 자동화 + VMware vRealize Automation을 통한 자동화 + 재해 복구 및 비즈니스의 연속성 + 운영의 변환 • 실습을 통해 이해한 바를 설명 • 네트워크 가상화 인증을 위한 학습 계획을 개발할 수 있습니다 네트워크 가상화를 처음 접하시는 분들은 Network Virtualization for Dummies 지침을 다운로드하십시오. http://learn.vmware.com/36350_NSX_ITAutomation_Reg?src=af_5acfd24cebb90&cid=70134000001YR9b 본 강좌의 모든 연구실 예제는 선택 사항이며 무료로 이용하실 수 있습니다. 무료 연구실 예제로 바로 이동할 수 있는 링크는 리소스 탭 또는 https://labs.hol.vmware.com/HOL/catalogs/catalog/877 에서 전체 라이브러리를 살펴보실 수 있습니다.
Google Cloud
Responsible AI for Developers: Privacy & Safety - Polski
To szkolenie wprowadza w ważne kwestie dotyczące prywatności i bezpieczeństwa w dziedzinie AI. W jego trakcie przedstawiamy praktyczne techniki i narzędzia, które umożliwiają wdrożenie sprawdzonych metod w zakresie prywatności i bezpieczeństwa AI przy użyciu usług Google Cloud oraz narzędzi open source.