|
所在平台: Udemy |
课程主页: https://www.udemy.com/course/amazon-quicksight-dashboard-creation-data-visualization/
课程评论：没有评论
课程名称：Amazon QuickSight：仪表板创建与数据可视化 课程概述： 本课程旨在帮助学员充分发挥数据潜力，学习使用Amazon的强大商业智能工具AWS QuickSight进行数据可视化与仪表板创建。您将掌握创建交互式仪表板的技能，学习多种图表的可视化方法，以及利用条件格式、主题和多工作表报告等高级功能。课程通过实际项目，例如实用的COVID-19仪表板，帮助学员获得可适用于任何行业或数据源的实践经验。无论您是数据分析师、商业智能专业人员，还是希望提升数据技能的学习者，本课程都能帮助您取得成功。 第一部分：AWS QuickSight - 创建仪表板 在这一部分，您将深入了解AWS QuickSight的基础知识，从工具及其功能的介绍开始。您将了解AWS QuickSight在其他商业智能工具中脱颖而出的原因，并学习如何为分析设置数据集。课程将指导您添加可视化元素，如树图、折线图和各种图表。您将掌握使用主题、创建多个工作表、应用条件格式，最终设计动态仪表板的能力。到本部分结束时，您将能够根据业务需求创建全面的仪表板。 主要讲座内容包括： - AWS QuickSight的功能 - 添加和可视化数据集 - 创建树图、折线图和其他图表 - 使用主题和条件格式 - 设计交互式仪表板 第二部分：AWS QuickSight项目 - 创建COVID-19仪表板 本项目部分通过完整案例研究，指导您使用AWS QuickSight构建COVID-19仪表板。您将首先设置AWS管理控制台，导入数据集，并应用过滤器以有效分析数据。我们将探讨不同的可视化方式，如折线图、图表和表格，以展示COVID-19趋势。您还将学习如何利用多个工作表、条件格式和自定义仪表板主题。项目最后提供逐步指南，以创建和完善您的仪表板，为您提供可展示在个人作品集中的实践经验。 主要讲座内容包括： - AWS管理控制台设置 - 构建COVID-19数据的可视化 - 创建多工作表报告和仪表板 - 应用条件格式以增强洞察力 - 完成并展示COVID-19仪表板 课程结论： 完成本课程后，您将全面了解AWS QuickSight及其在创建交互式仪表板和强大数据可视化方面的能力。您不仅将学习使用QuickSight所需的技术技能，还将通过项目获得实践经验，展示如何将原始数据转化为可行的洞察。本课程非常适合希望提升数据可视化技能并利用AWS商用智能优势的任何人。
Course Introduction:Unlock the full potential of your data with AWS QuickSight, Amazon's powerful business intelligence tool. This course is designed to guide you through the complete process of data visualization and dashboard creation using AWS QuickSight. You'll learn how to build interactive dashboards, visualize data with various chart types, and use advanced features like conditional formatting, themes, and multi-sheet reports. With hands-on projects, including a real-world COVID-19 dashboard, you'll gain practical experience that can be applied to any industry or data source. Whether you're a data analyst, business intelligence professional, or simply someone looking to enhance your data skills, this course has everything you need to succeed.Section 1: AWS QuickSight - Creating DashboardsIn this section, you'll dive into the fundamentals of AWS QuickSight, starting with an introduction to the tool and its features. You'll explore why AWS QuickSight stands out among other BI tools, and how to set up datasets for analysis. We'll guide you through adding visual elements like tree maps, line graphs, and various charts. You'll learn to use themes, create multiple sheets, apply conditional formatting, and ultimately design dynamic dashboards. By the end of this section, you'll be able to create comprehensive dashboards tailored to your business needs.Key Lectures Include:Features of AWS QuickSightAdding and Visualizing DatasetsCreating Tree Maps, Line Graphs, and ChartsUsing Themes and Conditional FormattingDesigning Interactive DashboardsSection 2: Project on AWS QuickSight - Creating a COVID-19 DashboardThis project-based section takes you through a complete case study on building a COVID-19 dashboard using AWS QuickSight. You'll start by setting up the AWS Management Console, importing datasets, and applying filters to analyze the data effectively. We will explore various visualizations like line graphs, charts, and tables to represent COVID-19 trends. You'll also learn how to utilize multiple sheets, conditional formatting, and customize dashboard themes. The project concludes with step-by-step guidance on creating and refining your dashboard, providing hands-on experience that you can showcase in your portfolio.Key Lectures Include:AWS Management Console SetupBuilding Visualizations for COVID-19 DataCreating Multi-Sheet Reports and DashboardsApplying Conditional Formatting for Enhanced InsightsFinalizing and Presenting the COVID-19 DashboardCourse Conclusion:By the end of this course, you will have a thorough understanding of AWS QuickSight and its capabilities in creating interactive dashboards and powerful data visualizations. You'll not only learn the technical skills required to use QuickSight effectively but also gain hands-on experience through projects that demonstrate how to turn raw data into actionable insights. This course is perfect for anyone looking to elevate their data visualization skills and leverage the power of AWS for business intelligence.
