Duke University

Managing Big Data with MySQL

Daniel Egger
Jana Schaich Borg

Instructors: Daniel Egger

189,394 already enrolled

Included with Coursera Plus

Gain insight into a topic and learn the fundamentals.
4.7

(4,063 reviews)

27 hours to complete
3 weeks at 9 hours a week
Flexible schedule
Learn at your own pace
96%
Most learners liked this course
Gain insight into a topic and learn the fundamentals.
4.7

(4,063 reviews)

27 hours to complete
3 weeks at 9 hours a week
Flexible schedule
Learn at your own pace
96%
Most learners liked this course

Details to know

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Assessments

5 assignments

Taught in English

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This course is part of the Excel to MySQL: Analytic Techniques for Business Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 6 modules in this 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 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.

What's included

3 videos5 readings

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!

What's included

9 videos6 readings1 assignment

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!

What's included

6 videos5 readings2 assignments4 ungraded labs

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.

What's included

6 videos5 readings1 assignment5 ungraded labs

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.

What's included

2 videos5 readings4 ungraded labs

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!

What's included

1 video1 assignment

Instructors

Instructor ratings
4.7 (450 ratings)
Daniel Egger
Duke University
8 Courses1,176,173 learners
Jana Schaich Borg
Duke University
7 Courses739,697 learners

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Duke University

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