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所在平台: Coursera |
课程主页: https://www.coursera.org/learn/analytics-mysql
课程评论：没有评论
课程名称：使用 MySQL 管理大数据 课程概述：本课程旨在介绍如何在商业分析中使用关系数据库。您将学习关系数据库的工作原理以及如何使用实体-关系图展示数据的结构。这些知识将帮助您理解在商业环境中如何收集数据，并识别实施新数据收集时需要考虑的特征。您还将学习执行对业务分析师最有用的查询和表聚合语句，并通过真实数据库进行实践。完成本课程后，您将清楚地理解关系数据库的运行机制，并拥有一个能向潜在雇主展示的查询作品集。在数据驱动的商业世界中，能够自主访问数据的分析师将获得强大的竞争优势。 课程大纲： 1. **课程及专业概述**：介绍“使用 MySQL 管理大数据”专业化的内容，探讨大数据如何与商业互动以及如何通过数据分析为商业创造价值。 2. **理解关系数据库**：学习关系数据库如何组织，练习制作和解释实体关系图和关系模式，加深对数据库设计原则的理解。 3. **从单个表中提取数据的查询**：编写 SQL 查询，从真实公司（如 Dognition 和 Dillard’s）提取数据，并加强对 SQL 语法的理解。 4. **从多个表中总结数据的查询**：学习如何将数据分组和结合，练习 SQL 的连接（joins）语法。 5. **解决更详细的商业问题的查询**：将所学的 SQL 语法应用于商业数据分析问题，理解复杂的查询策略。 6. **巩固和测试您的理解**：完成课程的最终测验，以强化对关键概念的掌握。 通过此课程，您将获得使用 MySQL 进行大数据管理的必要技能，推动您在数据分析领域的职业发展。
Name:About this Specialization and Course
Description:The Coursera Specialization, "Managing Big Data with MySQL" is about how 'Big Data' interacts with business, and how to use data analytics to create value for businesses. This specialization consists of four courses and a final Capstone Project, where you will apply your skills to a real-world business process. You will learn to perform sophisticated data-analysis functions using powerful software tools such as Microsoft Excel, Tableau, and MySQL. To learn more about the specialization, please review the first lesson below, "Specialization Introduction: Excel to MySQL: Analytic Techniques for Business." In this fourth course of this specialization, "Managing Big Data with MySQL” you will learn how relational databases work and how they are used in business analysis. By the end of this course, you will have a clear understanding of how relational databases work and have a portfolio of queries you can show potential employers. Businesses are collecting increasing amounts of information with the hope that data will yield novel insights into how to improve businesses. Analysts that understand how to access this data – this means you! – will have a strong competitive advantage in this data-smitten business world. To get started with this course, you can begin with, "Introduction to Managing Big Data with MySQL." Please take some time to not only watch the videos, but also read through the course overview as there is extremely important course information in the overview.
Name:Understanding Relational Databases
Description:In this module, you will learn how relational databases are organized, and practice making and interpreting Entity Relationship (ER) diagrams and relational schemas that describe the structure of data stored in a database. This week’s exercises are donated from a well-known Database Systems textbook, and will help you deepen and strengthen your understanding of how relational databases are organized. This deeper understanding will help you navigate complicated business databases, and allow you to write more efficient queries. At the conclusion of the week, you will test your understanding of database design principles by completing the Week 1 graded quiz. To get started, please begin with the video “Problems with Having a Lot of Data Used by a Lot of People.” As always, if you have any questions, post them to the Discussions. I hope you enjoy this week's materials!
Name: Queries to Extract Data from Single Tables
Description:In this module, you will start interacting with business databases. You will write SQL queries that query data from two real companies. One data set, donated from a local start-up in Durham, North Carolina called Dognition, is a MySQL database containing tables of over 1 million rows. The other data set we'll learn about was donated from a national US department store chain called Dillard’s, is a Teradata database containing tables with over a hundred million rows. Make sure to watch the instructional videos about how to use the database interfaces we have established for this course, and complete the MySQL exercises. At the end of the week, you will test your understanding of the SQL syntax introduced this week by completing the graded quiz. As always, if you have any questions, post them to the Discussions. Enjoy this week's materials!
Name:Queries to Summarize Groups of Data from Multiple Tables
Description:In this module, we are going to learn the SQL syntax that allows you to segment your data into separate categories and segment. We are also going to learn how to combine data stored in separate tables. Make sure to watch the videos about joins, and complete the MySQL exercises. At the end of the week, you will test your understanding of the SQL syntax introduced this week by completing the graded quiz. We strongly encourage you to use the course Discussions to help each other with questions.
Name: Queries to Address More Detailed Business Questions
Description:In this module, you will practice integrating the SQL syntax you’ve learn so far into queries that address analysis questions typical of those you will complete as a business data analyst. Due to the extensive nature of the queries we will practice this week, we have put the graded quiz that tests your understanding of the SQL strategies you will practice in its own module at the end of this week. Make sure to complete the MySQL exercises, and we strongly encourage you to use the course Discussions to help each other with questions.
Name:Strengthen and Test Your Understanding
Description:This module contains the final graded quiz for the course. This quiz are intended to hone and build your understanding of the last important concepts in the course!
This course is an introduction to how to use relational databases in business analysis. You will learn how relational databases work, and how to use entity-relationship diagrams to display the structure of the data held within them. This knowledge will help you understand how data needs to be collected in business contexts, and help you identify features you want to consider if you are involved in implementing new data collection efforts. You will also learn how to execute the most useful query and table aggregation statements for business analysts, and practice using them with real databases. No more waiting 48 hours for someone else in the company to provide data to you – you will be able to get the data by yourself! By the end of this course, you will have a clear understanding of how relational databases work, and have a portfolio of queries you can show potential employers. Businesses are collecting increasing amounts of information with the hope that data will yield novel insights into how to improve businesses. Analysts that understand how to access this data – this means you! – will have a strong competitive advantage in this data-smitten business world.
