Google Workspace 疑難排解
這堂課程會說明 Google Workspace 管理員如何解決常見的 Google Workspace 問題。學員會練習診斷及解決 Gmail、Google 日曆和雲端硬碟的問題,熟悉管理控制台的操作方式,分析稽核記錄來解決安全性問題,收集資訊並使用可用資源來解決及回報技術性問題。
12,051 courses
這堂課程會說明 Google Workspace 管理員如何解決常見的 Google Workspace 問題。學員會練習診斷及解決 Gmail、Google 日曆和雲端硬碟的問題,熟悉管理控制台的操作方式,分析稽核記錄來解決安全性問題,收集資訊並使用可用資源來解決及回報技術性問題。
Course 1 provides an overview of human factors, systems and human errors. It covers the key concepts and applications of human factors and introduces various methods for reducing human error.
Organizations of all sizes are embracing the power and flexibility of the cloud to transform how they operate. However, managing and scaling cloud resources effectively can be a complex task. This course explores the fundamental concepts of modern operations, reliability, and resilience in the cloud, and how Google Cloud can help support these efforts. As part of the Cloud Digital Leader learning path, this course aims to help individuals grow in their role and build the future of their business.
Whether you’re a scientist, engineer, student, or industry professional working with data or quantitative tasks, this course is your gateway to solving real-world problems with Python. Designed for beginners, no prior programming experience is required. We start with the basics and build up to powerful tools and techniques used every day in research and industry. You’ll learn how to fit data to custom models, automate repetitive tasks, create clear and professional visualizations, work efficiently with arrays, solve optimization problems, integrate and differentiate mathematical functions, and more using essential libraries like NumPy and SciPy. By the end of the course, you’ll be ready to start tackling scientific computing challenges in your field and build a strong foundation for more advanced topics like data science, statistics, and computational modeling. Whether you’re just starting out or looking to sharpen your skills, this practical, hands-on course opens the door to a wide range of applications across science, engineering, and beyond.
Dans ce cours, vous allez découvrir Cloud Spanner. Cloud Spanner vous sera présenté et sera comparé à d'autres produits de base de données. Cela vous aidera à mieux comprendre quand et comment utiliser Spanner pour répondre à vos besoins en termes de bases de données relationnelles à grande échelle. Vous apprendrez à créer et à gérer des bases de données Spanner au moyen de différents outils sur Google Cloud, à optimiser les schémas relationnels en tenant compte du modèle de base de données distribuée de Spanner, à interagir avec vos bases de données Spanner à l'aide des API Spanner, à intégrer Spanner à vos applications, et à utiliser d'autres outils Google pour administrer des bases de données Spanner et gérer des données.
The atmosphere is a shared resource and the amount of greenhouse gases it can absorb is a finite resource. This introductory course to the technology of Carbon Capture and Storage is designed for a wider audience with an interest in energy, sustainability and climate change. The aim of Carbon Capture and Storage is to achieve - Deep reductions in carbon dioxide emissions to the atmosphere - Unlock carbon negative solutions to achieve a neutral carbon balance to the atmosphere in the 21st century Carbon Capture and Storage makes cheap, widely available fossil fuels ‘safe to use’ in the context of the Paris Climate Change agreement of 2015. It prevents their carbon dioxide emissions from entering the atmosphere to store them permanently and safely underground. The course is taught by a team of leading academics at the University of Edinburgh with decades of experience in this field. It aims to bridge the gap between the forefront of the latest developments in science, engineering, geology, policy and economics, and the wider public. The aim is to help you understand this technology objectively and why it is so important in our efforts against climate change. We hope the course will make you want to find out more about climate change mitigation options and that you will continue to further educate yourself in this area. 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.
This course introduces the Python programming language to absolute beginners through energetic, hands-on instruction that makes coding fun and approachable. Organized across four modules; Welcome to Python, Python Foundations, Introduction to Programming, and Data Processing with Python. The course builds programming foundations through real-world applications using Python's most useful libraries. Learners benefit by gaining practical programming skills that are immediately applicable in data analysis, automation, and software development roles. From setting up a Python environment and writing first programs to working with data structures, writing functions, and processing data with Pandas, this course provides a complete introduction to Python's capabilities. By the end of this course, learners will be able to write Python programs that use variables, conditionals, loops, functions, and Pandas DataFrames to solve real-world data processing problems.
Being a portfolio manager is not only reserved for the institutional advisor. There is an equally challenging and in-demand role on the retail side, where portfolio managers invest the funds of individuals and families. Learn the fundamentals of this career path and apply some of the key technical skills you will need to master through our portfolio simulations. This course is for anyone interested in pursuing the portfolio manager designation in the wealth management field, as well as anyone who wants a deeper understanding of how to invest and maintain their investment portfolio.
O Gemini para Google Workspace é um complemento que oferece aos clientes acesso a recursos de IA generativa na nossa plataforma. Neste minicurso, você vai conhecer as principais funcionalidades do Gemini e como elas podem ser usadas para melhorar a produtividade e a eficiência nas Apresentações Google.
In this 1 hour long project-based course, we’ll learn to create a mapping data flow on the azure data factory. First, we’ll learn to create an azure data factory on the Azure portal. Then we’ll learn to create an azure storage account so that we could store the source data on the blob containers. We’ll learn to configure the source and the sink transformation. We’ll learn to work with basic data flow transformations such as select, filters, sort, joins , derived columns, and conditional split transformations. We’ll learn to create a simple mapping data flow in the azure data factory. We’ll also learn to create and combine multiple streams of data on mapping data flows. Finally, we’ll also learn to store the transformed data to the destination. You must have an Azure account prior.
In this 1-hour long project-based course, you will create projects on Harvest, track their time and expenses, generate reports and invoice your clients.
In a remote world, collaboration and culture don’t happen by chance; they must be intentionally designed. This course will teach you how to build trust, foster collaboration, and create a strong culture in remote teams. You will learn how to design inclusive practices, lead engaging virtual interactions, and establish rituals that promote openness, connection, and shared purpose across distances. Through practical examples and guided activities, you’ll explore strategies for overcoming collaboration barriers, strengthening team identity, and ensuring every voice is heard in virtual settings. By the end of the course, you will create a remote team culture and collaboration plan, a clear, actionable document that demonstrates your ability to shape inclusive, high-performing remote teams. Whether your team is fully remote or hybrid, this course will equip you with the skills to cultivate connection, trust, and seamless collaboration in today’s remote workplace.