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View details: Creative ThinkingCreative Thinking
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- TechnologyBeginnerView details: From Data to Decisions: Finding Patterns with AI
From Data to Decisions: Finding Patterns with AI
This course teaches students how to generate univariate graphics, such as histograms and box plots, using generative AI tools to automate and streamline the analysis process. Students will explore conditional means through statistical methods like ANOVA and t-tests, while also using AI to create and interpret visualizations, such as bar charts and dot plots. A key focus will be on leveraging AI to both carry out analyses and generate clear, data-driven explanations of the results. By the end, students will confidently utilize AI to enhance their data analysis and communication skills.
240 min - BusinessAll levelsView details: Management of Fashion and Luxury Companies
Management of Fashion and Luxury Companies
Learn how fashion and luxury companies work and understand their brands, products, retail, and communication strategies. Travel through business models, international development, and product categories with industry influent experts. Adopting a case-study approach, the course presents strategic brand management in luxury and fashion companies as a balancing act: tradition vs. innovation, expertise vs. experimentation, casual vs. stylish; in order to increase the brand value by nurturing the brand heritage and at the same time staying fresh, relevant, and contemporary in the global marketplace. Topics such as the impact of new retail channels, new media channels, and new business declinations for the brand and emerging markets will be discussed in the course.
- TechnologyIntermediateView details: Build a Machine Learning Web App with Streamlit and Python
Build a Machine Learning Web App with Streamlit and Python
Welcome to this hands-on project on building your first machine learning web app with the Streamlit library in Python. By the end of this project, you are going to be comfortable with using Python and Streamlit to build beautiful and interactive ML web apps with zero web development experience! We are going to load, explore, visualize and interact with data, and generate dashboards in less than 100 lines of Python code! Our web application will allows users to choose what classification algorithm they want to use and let them interactively set hyper-parameter values, all without them knowing to code! Prior experience with writing simple Python scripts and using pandas for data manipulation is recommended. It is required that you have an understanding of Logistic Regression, Support Vector Machines, and Random Forest Classifiers and how to use them in scikit-learn. 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.
90 min - TechnologyBeginnerView details: Google Workspace コアサービス
Google Workspace コアサービス
このコースは、Google Workspace コアサービスを包括的に理解することを目的としたものです。このコースでは、Gmail、カレンダー、ドライブ、Meet、Chat、ドキュメントなどのサービスに関する設定の有効化、無効化、構成について学びます。次に、ユーザーを支援するために Gemini をデプロイして管理する方法を学びます。最後に、タスクの自動化や Google Workspace アプリケーションの機能拡張を目的とした AppSheet や Apps Script のユースケースを確認します。
420 min - BusinessAll levelsView details: Dash Cryptocurrency Trading & Analysis
Dash Cryptocurrency Trading & Analysis
Learn how to trade Dash cryptocurrency with confidence while understanding its unique blockchain features and market behavior. Build practical skills in wallet management, exchange trading, and technical analysis. This course provides a complete introduction to Dash cryptocurrency, starting with its fundamentals and how it differs from other digital assets. You will explore key features such as masternodes, decentralized governance, and privacy tools that make Dash a unique player in the crypto ecosystem. You will learn how to securely set up and manage cryptocurrency wallets, ensuring safe storage and handling of your digital assets. The course also covers how cryptocurrency exchanges work, helping you understand how to buy, sell, and trade Dash using real trading platforms. In addition, you will explore core trading concepts such as trading pairs, leverage, and market behavior. A strong focus is placed on technical analysis, where you will learn how to read charts, identify trends, and apply indicators like moving averages, MACD, and Bollinger Bands. By the end of the course, you will be able to confidently analyze Dash markets, manage crypto transactions, and apply structured trading strategies in the cryptocurrency space.
- TechnologyAdvancedView details: GKE에서 확장 가능한 워크로드 관리
GKE에서 확장 가능한 워크로드 관리
Google Kubernetes Engine을 사용하여 애플리케이션을 대규모로 현대화, 관리, 모니터링하는 방법을 알아봅니다. 이 과정에서는 강의와 실무형 실습을 통해, 여러 공급업체에서 호스팅하는 다양한 클러스터에 분산된 경우에도 최신 애플리케이션을 사용할 수 있게 해주는 Google Kubernetes Engine(GKE), GKE Fleet, Cloud Service Mesh, 구성 컨트롤러의 기능과 배포 방법을 알아봅니다.
- TechnologyIntermediateView details: Set up a SIEM forwarder on a Linux Instance
Set up a SIEM forwarder on a Linux Instance
This is a self-paced lab that takes place in the Google Cloud console. Install and configure a SIEM forwarder on a Linux host, then send sample logs using a file collector and observe the ingested logs in a live Chronicle environment.
60 min - TechnologyBeginnerView details: Intro to Supabase
Intro to Supabase
In this practical and fast-paced course, you’ll learn how to build real-time data-powered applications using Supabase with JavaScript. Starting with a complete Supabase project setup, you'll learn how to interact with the database using supabase-js, perform advanced queries with aggregate functions, and manage state effectively within your app. You’ll then move into formatting the data for visual representation, setting up real-time subscriptions, and implementing form functionality to insert new data live into your database. In this course, you'll work on a project for a sales team. You'll create a database to hold sales data, fetch data for a dashboard visualization, and insert new data in the table via a form. By the end, you'll have a complete, interactive app that responds to changes in the database in real time, making this the perfect project to sharpen your frontend skills while exploring backend functionality.
- TechnologyAdvancedView details: Exploring the Lineage of Data with Cloud Data Fusion
Exploring the Lineage of Data with Cloud Data Fusion
This is a self-paced lab that takes place in the Google Cloud console. This lab shows how to use Cloud Data Fusion to explore data lineage - the data's origins and its movement over time.
90 min - EngineeringAll levelsView details: Introduction to advanced tomography
Introduction to advanced tomography
In this course you get the chance to get teaching and hands-on experience with the complete workflow of high-resolution tomography analysis. You will get introduced to data acquisition, 3D reconstruction, segmentation and meshing and, finally, 3D modelling of data to extract physical parameters describing mechanical and flow properties. The teaching and the exercises will take place in close interaction with top experts in the field. Exercises will require some basic programming skills, and will be carried out in a common python environment.
- TechnologyIntermediateView details: HTTPS Content-Based Load Balancer with Terraform
HTTPS Content-Based Load Balancer with Terraform
This is a self-paced lab that takes place in the Google Cloud console. This lab shows you how to create a HTTPS load balancer to forward traffic to a custom URL map, which then sends traffic to the region closest to you with static assets being served from a Cloud Storage bucket.
60 min