Managing Big Data with MySQL

Managing Big Data with MySQL

课程
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60 时
此内容评级为 3.6667/5
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  • 来自www.coursera.org
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课程详情

教学大纲

  • Week 1 - About this Specialization and Course
    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...
  • Week 1 - Understanding Relational Databases
    Welcome to week 1! This week 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.

    By the end of the we...

  • Week 2 - Queries to Extract Data from Single Tables
    Welcome to week 2! This week, 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 co...
  • Week 3 - Queries to Summarize Groups of Data from Multiple Tables

    Welcome to week 3! This week, 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.

    By the end of the week, you will b...

  • Week 4 - Queries to Address More Detailed Business Questions

    Welcome to week 4, the final week of Managing Big Data with MySQL! This week 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.

    <...
  • Week 5 - Strengthen and Test Your Understanding
    This week contains the final ungraded Teradata exercises, and the final graded quiz for the course. The exercises are intended to hone and build your understanding of the last important concepts in the course, and lead directly to the quiz so be sure to do bot...

先决条件

没有。

讲师

Daniel Egger
Executive in Residence and Director, Center for Quantitative Modeling
Pratt School of Engineering, Duke University

Jana Schaich Borg
Assistant Research Professor
Social Science Research Institute

编辑

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虽然该大学直到 1924 年才正式成立(其根源可追溯到 1838 年)。杜克大学经常被称为 "南方的哈佛",是美国南方选拔最严格的大学。

该大学是美国大学协会的成员,自 1900 年以来,该协会一直将北美的精英研究型大学聚集在一起。

平台

Coursera是一家数字公司,提供由位于加利福尼亚州山景城的计算机教师Andrew Ng和达芙妮科勒斯坦福大学创建的大型开放式在线课程。

Coursera与顶尖大学和组织合作,在线提供一些课程,并提供许多科目的课程,包括:物理,工程,人文,医学,生物学,社会科学,数学,商业,计算机科学,数字营销,数据科学 和其他科目。

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