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• Technology

  Beginner

  Intro to Vite

  Discover the power of Vite in this fast-paced course designed to supercharge your React development workflow. You’ll learn how to scaffold modern projects with lightning-fast tooling that’s built for speed and simplicity. Whether you're building with JavaScript or TypeScript, working with environment variables, or bundling for production, this course has you covered. You'll start by creating your first Vite-powered React app and exploring how its hot module replacement and instant reload features transform the developer experience. Next, you'll learn how to manage static assets, customize build settings, and extend Vite with powerful plugins. For developers deploying real-world apps, you’ll also get hands-on with production builds and performance-focused configuration. As always on Scrimba, this course is also hands-on! You’ll hit the ground running with Vite and solve a bunch of code challenges along the way. From environment variables to plugin architecture, this course prepares you to confidently build scalable and modern frontend apps using Vite.

  View details: Intro to Vite
• Technology

  All levels

  IoT Security: Privacy, Software, and Physical Security

  To round out your skills in IoT security, you'll protect and dispose of sensitive data when appropriate. You'll also manage risks related to software installations, patches, and operating systems. Lastly, you'll protect local memory and storage, and prevent physical port access. This is the third and final course in a multi-course Specialization. All of the courses in this Specialization require that you use the provided virtual machines, which include all of the necessary tools and system configurations for the activity environment. The course setup instructions provided in the first course go into more detail about the hardware and software requirements.

  View details: IoT Security: Privacy, Software, and Physical Security
• Technology

  Beginner

  Introduction to Computer Vision with TensorFlow

  This is a self-paced lab that takes place in the Google Cloud console. In this lab you create a computer vision model that can recognize items of clothing and then explore what affects the training model.

  60 min

  View details: Introduction to Computer Vision with TensorFlow
• Technology

  All levels

  Research Data Management and Sharing

  This course will provide learners with an introduction to research data management and sharing. After completing this course, learners will understand the diversity of data and their management needs across the research data lifecycle, be able to identify the components of good data management plans, and be familiar with best practices for working with data including the organization, documentation, and storage and security of data. Learners will also understand the impetus and importance of archiving and sharing data as well as how to assess the trustworthiness of repositories. Today, an increasing number of funding agencies, journals, and other stakeholders are requiring data producers to share, archive, and plan for the management of their data. In order to respond to these requirements, researchers and information professionals will need the data management and curation knowledge and skills that support the long-term preservation, access, and reuse of data. Effectively managing data can also help optimize research outputs, increase the impact of research, and support open scientific inquiry. After completing this course, learners will be better equipped to manage data throughout the entire research data lifecycle from project planning to the end of the project when data ideally are shared and made available within a trustworthy repository. This course was developed by the Curating Research Assets and Data Using Lifecycle Education (CRADLE) Project in collaboration with EDINA at the University of Edinburgh. This course was made possible in part by the Institute of Museum and Library Services under award #RE-06-13-0052-13. The views, findings, conclusions or recommendations expressed in this Research Data Management and Sharing MOOC do not necessarily represent those of the Institute of Museum and Library Services. Hashtag: #RDMSmooc Learners can apply for Financial Aid directly with Coursera to assist with the cost of accessing the full course and gaining a certificate for successfully completing the course.

  View details: Research Data Management and Sharing
• Business

  All levels

  Investment Portfolio Analytics and Risk Management

  Learn how to analyze financial instruments, manage investment portfolios, and apply portfolio analytics and risk management strategies using practical software-based workflows. This course provides hands-on skills in portfolio tracking, investment analysis, reporting, derivatives, and hedging for modern financial management. The course begins with the foundations of asset management, helping learners understand equity investments, mutual funds, insurance-linked products, and the core principles of portfolio creation and tracking. Learners will also explore bonds, deposits, private equity, and physical assets to build diversified portfolios. As the course progresses, learners focus on investment data management, including importing financial data, performing manual portfolio entries, and maintaining reliable investment records. The course also explains broker contract notes, equity data workflows, and report generation for effective portfolio analysis. Advanced modules cover portfolio analytics, transaction analysis, realized and unrealized gains, return calculation methods, derivatives, options strategies, and margin trading concepts. Learners will also apply hedging and risk management techniques to improve investment decision-making and portfolio stability. What makes this course unique is its practical, software-driven approach that bridges financial theory with real-world portfolio management execution. By the end of the course, learners will be able to confidently manage investment portfolios, analyze performance, generate professional reports, and apply risk management strategies used in the financial industry.

  View details: Investment Portfolio Analytics and Risk Management
• Technology

  Beginner

  面向医疗保健行业的生成式 AI

  本课程专为专业医护人员设计，旨在深入浅出地介绍生成式 AI（人工智能领域的最新突破）以及推动其发展的大语言模型 (LLM)。了解生成式 AI 在医疗保健领域的实际应用，并掌握根据目标编写有效提示的技巧。

  View details: 面向医疗保健行业的生成式 AI
• Business

  Beginner

  Professional Skills: Digital Wellness

  Discover how to build a healthier, more intentional relationship with technology. This course helps you balance personal well-being and digital life for improved mental, physical, and professional health. From smartphones to wearable tech, digital tools shape how we live, work, and interact. But they can also contribute to stress, distraction, and burnout if used unconsciously. In this self-paced course led by Dr. Nicholas Proferes of ASU’s School of Social and Behavioral Sciences, you’ll learn how to assess and improve your relationship with digital tools. Through guided reflection and hands-on strategies, you’ll explore how to use technology in ways that support, rather than undermine, your well-being.

  480 min

  View details: Professional Skills: Digital Wellness
• Business

  Intermediate

  Crea Videos para Redes Sociales con PicsArt

  Al final de este proyecto usted habrá aprendido a crear un video para las redes sociales usando la versión gratis de PicsArt. PicsArt es un programa de edición basado en la web para editar fotos y videos. Consumidores hoy en día están constantemente saturados con información e imágenes en las redes sociales. Parte del social media marketing es aprender maneras creativas para atraer la atención a productos y servicios , con un presupuesto que muchas veces es magro. PicsArt ofrece todas las herramientas necesarias para crear un producto tanto organizado como visualmente atractivo y fácilmente de compartir y trabajar en equipo. Los usuarios de PicsArt pueden fácilmente crear e implementar ediciones creativas con herramientas de diseño virtuales para comercializar sus negocios. Al final de este proyecto usted podrá aplicar herramientas de diseño gráfico a sus posts de redes sociales para comercializar su negocio. Nota: Este curso es de mayor utilidad para estudiantes que residen en la región de América del Norte. Actualmente, estamos trabajando para proporcionar la misma experiencia en otras regiones.

  View details: Crea Videos para Redes Sociales con PicsArt
• Technology

  Intermediate

  Data Storage and Queries

  In this course, you will learn about the raw ingredients and processes that are used to physically store data on disk and in memory. You’ll explore different storage systems, including object, block, and file storage, as well as databases, that are built on top of these raw ingredients. You’ll also get a chance to use the Cypher language to query a Neo4j graph database, and perform vector similarity search, a key feature behind generative AI and large language models. You will explore the evolution of data storage abstractions, from data warehouses, to data lakes, and data lakehouses, while comparing the advantages and drawbacks of each architectural paradigm. With hands-on practice, you will design a simple data lake using Amazon Glue, and build a data lakehouse using AWS LakeFormation and Apache Iceberg. In the last week of this course, you’ll see how queries work behind the scenes, practice writing more advanced SQL queries, compare the query performance in row vs column-oriented storage, and perform streaming queries using Apache Flink.

  360 min

  View details: Data Storage and Queries
• Business

  All levels

  Portfolio and Risk Management

  In this course, you will gain an understanding of the theory underlying optimal portfolio construction, the different ways portfolios are actually built in practice and how to measure and manage the risk of such portfolios. You will start by studying how imperfect correlation between assets leads to diversified and optimal portfolios as well as the consequences in terms of asset pricing. Then, you will learn how to shape an investor's profile and build an adequate portfolio by combining strategic and tactical asset allocations. Finally, you will have a more in-depth look at risk: its different facets and the appropriate tools and techniques to measure it, manage it and hedge it. Key speakers from UBS, our corporate partner, will regularly add a practical perspective on these different topics as you progress through the course.

  480 min

  View details: Portfolio and Risk Management
• Technology

  Intermediate

  Advanced Data Applications and Integration

  Take your R programming skills to the next level with this final, practical course that bridges theory and real-world applications. Learn to collect data from web sources, create interactive visualizations, handle large datasets efficiently, and integrate with cloud services. While covering advanced topics, the course maintains a beginner-friendly approach with step-by-step guidance and AI assistance. By the end of this course, you will be able to: Collect and process data from web sources using scraping and API techniques, transforming raw online data into structured, analysis-ready formats. Build interactive visualizations and dashboards that allow audiences to explore data dynamically, going beyond static charts and reports. Integrate R workflows with cloud services and external platforms, enabling you to build end-to-end data pipelines that connect collection, analysis, and delivery.

  1620 min

  View details: Advanced Data Applications and Integration
• Technology

  Beginner

  5. アセット、脅威、そして脆弱性

  Google サイバーセキュリティ プロフェッショナル認定証の 5 つめのコースです。各コースでは初級サイバーセキュリティの職に必要なスキルを身につけることができます。 このコースではアセット、脅威、脆弱性の概念について学びます。まず、アセットがどのように分類されるのかについて理解を深めます。次に、一般的な脅威と脆弱性、貴重な情報を保護し、リスクを軽減するために組織が使用しているセキュリティ コントロールについて理解します。さらに脅威モデリング プロセスの実践を通じて、攻撃者の考え方を身につけ、セキュリティ侵害を未然に防ぐための対策を学びます。 サイバーセキュリティの分野で働いている現職の Google 社員が最適なツールやリソースを使って一般的なサイバーセキュリティの業務を遂行する実践的な方法を指導します。また就職活動への準備も手助けします。 この認定プログラムを修了すると、エントリーレベルのサイバーセキュリティの職に応募できるようになります。過去の業務経験は不要です。

  View details: 5. アセット、脅威、そして脆弱性