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所在平台: Udemy |
课程主页: https://www.udemy.com/course/data-engineerdata-visualisation-tableau-powerbi-python/
课程评论:没有评论
课程名称:数据工程师/数据可视化 - Tableau、Power BI与Python 课程概述:本课程旨在教授如何将数据转化为可分析的有用格式,并通过图形化方式展示信息和数据。数据可视化是使用图表、图形和地图等视觉元素,帮助人们理解数据中的趋势、异常值和模式。Tableau是被广泛使用的商业智能分析软件,被亚马逊、Experian和联合利华等公司信赖,能够安全地探索、可视化并共享数据。借助用户友好的拖放功能,任何人都可以快速清理、分析和可视化团队的数据。课程将帮助学员熟悉Tableau的界面,掌握如何使用易于理解的可视化工具来连接和展示数据。 在如今企业收集和存储海量数据的背景下,数据和信息已成为商业最重要的资产。然而,组织面临的主要挑战是如何理解和利用数据,从而促进业务的积极变革。有效的数据故事能够帮助业务决策者快速做出合理的决定,提高竞争力。学员将学习如何通过数据讲述故事,快速采取行动,包括资源重新分配或优化营销策略等。 此外,Python是一种流行的编程语言,广泛用于网页开发、软件开发、数学运算、数据分析和可视化。Jupyter Notebook作为一种开源网络应用,允许用户创建和共享包含实时代码、方程式、可视化和文本叙述的文档,适用于数据清理、数值模拟和机器学习等多种用途。 Power BI则是一个集合了多种软件服务、应用程序和连接器的工具,能够将来自不同来源的数据转换为连贯、视觉沉浸和交互式的见解。学员将学习如何使用Power BI Desktop、Power BI在线服务以及移动应用,创建、分享和消费商业洞察。 通过本课程,学员将掌握利用Tableau和Power BI进行数据可视化的方法,以及使用Python进行数据分析的技能,为未来的职业生涯奠定坚实的基础。
A data engineer transforms data into a useful format for analysis. Data visualization is the graphical representation of information and data. By using visual elements like charts, graphs, and maps, data visualization tools provide an accessible way to see and understand trends, outliers, and patterns in data.Tableau is a widely used business intelligence (BI) and analytics software trusted by companies like Amazon, Experian, and Unilever to explore, visualize, and securely share data in the form of Workbooks and Dashboards. With its user-friendly drag-and-drop functionality it can be used by everyone to quickly clean, analyze, and visualize your team's data. You'll learn how to navigate Tableau's interface and connect and present data using easy-to-understand visualizations. By the end of this training, you'll have the skills you need to confidently explore Tableau and build impactful data dashboards.Businesses collect and store massive amounts of data that track the items you browsed and purchased, the pages you've visited on their site, the aisles you purchase products from, your spending habits, and much more.With data and information as the most strategic asset of a business, the underlying challenge that organizations have today is understanding and using their data to positively effect change within the business. Businesses continue to struggle to use their data in a meaningful and productive way, which impacts their ability to act.The key to unlocking this data is being able to tell a story with it. In today's highly competitive and fast-paced business world, crafting reports that tell that story is what helps business leaders take action on the data. Business decision makers depend on an accurate story to drive better business decisions. The faster a business can make precise decisions, the more competitive they will be and the better advantage they will have. Without the story, it is difficult to understand what the data is trying to tell you.However, having data alone is not enough. You need to be able to act on the data to effect change within the business. That action could involve reallocating resources within the business to accommodate a need, or it could be identifying a failing campaign and knowing when to change course. These situations are where telling a story with your data is important.Python is a popular programming language. It is used for:web development (server-side),software development,mathematics,Data AnalysisData VisualizationSystem scripting.Python can be used for data analysis and visualization.The Jupyter Notebook is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations and narrative text. Uses include: data cleaning and transformation, numerical simulation, statistical modelling, data visualization, machine learning, and much more.Power BI is a collection of software services, apps, and connectors that work together to turn your unrelated sources of data into coherent, visually immersive, and interactive insights. Your data may be an Excel spreadsheet, or a collection of cloud-based and on-premises hybrid data warehouses. Power BI lets you easily connect to your data sources, visualize and discover what's important, and share that with anyone or everyone you want.Power BI consists of several elements that all work together, starting with these three basics:A Windows desktop application called Power BI Desktop.An online SaaS (Software as a Service) service called the Power BI service.Power BI mobile apps for Windows, iOS, and Android devices.These three elements-Power BI Desktop, the service, and the mobile apps-are designed to let you create, share, and consume business insights in the way that serves you and your role most effectively.Beyond those three, Power BI also features two other elements:Power BI Report Builder, for creating paginated reports to share in the Power BI service. Read more about paginated reports later in this article.Power BI Report Server, an on-premises report server where you can publish your Power BI reports, after creating them in Power BI Desktop.