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所在平台: Coursera |
课程主页: https://www.coursera.org/learn/data-ecosystem
课程评论：没有评论
课程名称：数据生态系统 课程概述：数据生态系统课程将为您提供整个数据生态系统的基础知识，包括数据管理。具体来说，本课程将展示商业智能分析师如何组织、访问和使用数据。您将学习各种数据源及其用途和目的。此外，您还将了解数据质量和数据治理在有效数据管理中的重要性，以及数据管理的目标。 课程大纲： 1. **数据来源**： 本周课题将帮助您了解作为分析师最基本的数据来源——电子表格！同时，您还将学习更复杂的数据来源，如数据库，以及组织如何使用不同的系统来管理这些数据。 2. **数据仓库**： 随着组织收集的数据越来越多，它们需要更复杂的系统来存储和管理这些数据。本周将探讨数据仓库和数据湖的使用，帮助您描述数据仓库的目的以及它们的常见结构，识别数据湖与数据仓库的关键区别。 3. **数据管理**： 本周将深入探讨机构如何确保数据在组织内可访问的同时保持安全性。您将学习良好数据管理的关键组成部分，包括数据质量管理、数据治理和数据架构，理解组织采用的实践以确保数据的可信性。 通过本课程，您将为成为一名成功的商业分析师奠定坚实的基础。
Name:Data Sources
Description:Welcome to the Data Ecosystem course, the third course in the Tableau Business Intelligence Analyst Professional Certificate. By enrolling in this course, you are continuing on your journey to a career in business analytics. In the first week of this course, you will learn about the most basic data sources you will encounter as an analyst — spreadsheets! You will also learn about more complex data sources like databases and how organizations use different systems to manage them.
Name:Data Warehousing
Description:Welcome to the second week of Data Ecosystem! As organizations collect more and more data, they require more complex systems to store and manage it. Many organizations use a combination of data warehouses and data lakes for this exact purpose. So, that's what this week is all about! By the end of this week, you will be able to describe the purpose of a data warehouse for analytics and identify the most common ways they are structured. You will also be able to describe the application of data lakes for analytics and recognize the key differences between a data lake and a data warehouse.
Name:Data Management
Description:Welcome to the third week of the Data Ecosystem! With the amount of data that organizations are collecting, you might be wondering how they are able to ensure that it is accessible throughout the organization while maintaining security. In order to ensure that their data is useable and protected, organizations have to have strong data management practices throughout the data life cycle. Data management can be thought of as the logistics of data — how you collect, store, validate, protect, and maintain your data. This week, you'll dive into a few of the key components of good data management including data quality management, data governance, and data architecture. By the end of this module, you'll have an understanding of the practices organizations employ to make sure their data can be trusted.
The Data Ecosystem course will give you a foundational understanding of the entire data ecosystem, including data management. Specifically, this course shows how a business intelligence analyst would organize, access, and use data. You will learn about a variety of data sources along with the use and purpose of each type. Additionally, you’ll learn about the importance of data quality and data governance in relation to effective data management. You’ll also learn about the goals of data manageme
