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学生对 杜克大学 提供的 使用 MySQL 管理大数据 的评价和反馈

4.7
3,937 个评分

课程概述

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....

热门审阅

DQ

Jun 20, 2020

One of the best course till now I find on Coursera, well structured everything and practice questions made me feel like real life problems as data were from real database of dognition and ua_dillards.

YC

Aug 19, 2019

Nice and well-organized course. I joined this course after self-studying on SQL for a few days. The context is really nice. The only problem is the Teradata is not stable. I tried very hard to login.

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301 - 使用 MySQL 管理大数据 的 325 个评论(共 897 个)

创建者 Yunlin H

Oct 3, 2020

创建者 Haohan C

Sep 15, 2020

创建者 Haoting C

Oct 12, 2017

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Jul 7, 2017

创建者 杜高飞

Jan 20, 2018

创建者 Shengbo J

Jul 27, 2020

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Aug 7, 2017

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May 7, 2017

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Sep 19, 2019

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Jan 7, 2018

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Aug 1, 2017

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Jun 12, 2016

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Jan 1, 2019

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Apr 18, 2018

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Nov 15, 2016

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May 15, 2016

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Aug 4, 2019

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Jun 19, 2020

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创建者 Jingxiong Z

Feb 14, 2017