Managing Big Data with MySQL

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FREE,
Add a Verified Certificate for $79

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Coursera online courses
Coursera's online classes are designed to help students achieve mastery over course material. Some of the best professors in the world - like neurobiology professor and author Peggy Mason from the University of Chicago, and computer science professor and Folding@Home director Vijay Pande - will supplement your knowledge through video lectures. They will also provide challenging assessments, interactive exercises during each lesson, and the opportunity to use a mobile app to keep up with yo...
Coursera's online classes are designed to help students achieve mastery over course material. Some of the best professors in the world - like neurobiology professor and author Peggy Mason from the University of Chicago, and computer science professor and Folding@Home director Vijay Pande - will supplement your knowledge through video lectures. They will also provide challenging assessments, interactive exercises during each lesson, and the opportunity to use a mobile app to keep up with your coursework. Coursera also partners with the US State Department to create “learning hubs” around the world. Students can get internet access, take courses, and participate in weekly in-person study groups to make learning even more collaborative. Begin your journey into the mysteries of the human brain by taking courses in neuroscience. Learn how to navigate the data infrastructures that multinational corporations use when you discover the world of data analysis. Follow one of Coursera’s “Skill Tracks”. Or try any one of its more than 560 available courses to help you achieve your academic and professional goals.

Provider Subject Specialization
Humanities
Sciences & Technology
4701 reviews

Course Description

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 inf... 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.
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Reviews 8/10 stars
2 Reviews for Managing Big Data with MySQL

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Greg Hamel profile image
Greg Hamel profile image
8/10 starsCompleted
  • 116 reviews
  • 107 completed
3 years, 3 months ago
Managing Big Data with MySQL is the fourth and final course in Duke University's Excel to MySQL: Analytic Techniques for Business specialization offered through Coursera. The 5-week course focuses on teaching students how to make relational database queries. Unlike some database courses that delve into details concerning database construction and theory, this course is all about the practical use of databases from the perspective of a business analyst. The first week introduces the concept of relational databases, entity relationship diagrams and schema, while the remainder of the course covers querying from simple select statements to summary functions, grouping, joins and subqueries. You don't need any particular background to take this course and it could be taken in isolation from the rest of the specialization. Grading is based on 4 week-end multiple-choice quizzes. Weekly course content is divided into several lessons that... Managing Big Data with MySQL is the fourth and final course in Duke University's Excel to MySQL: Analytic Techniques for Business specialization offered through Coursera. The 5-week course focuses on teaching students how to make relational database queries. Unlike some database courses that delve into details concerning database construction and theory, this course is all about the practical use of databases from the perspective of a business analyst. The first week introduces the concept of relational databases, entity relationship diagrams and schema, while the remainder of the course covers querying from simple select statements to summary functions, grouping, joins and subqueries. You don't need any particular background to take this course and it could be taken in isolation from the rest of the specialization. Grading is based on 4 week-end multiple-choice quizzes. Weekly course content is divided into several lessons that typically involve watching a short video segment and then working through an exercise set in MySQL or Teradata, two relational databases used in the course. The lecture content is high quality but after the first week, you'll be spending most of your time working on exercises rather than watching videos. In fact, some lessons don't have video lectures at all: the written exercises are really the core of the course. The MySQL exercises are contained in Jupiter notebooks--interactive text and code documents--that let you read instructions and play around with code in the same place. The exercises provide plenty of opportunity to drill SQL queries and build SQL vocabulary. The answers to exercise questions are provided in PDFs (they are ungraded), which means you can skip ahead if you don't need more practice. Considering each week after the first has at least 3 exercises sets plus a quiz, each of which could take a few hours to complete in their entirety, consulting the answer keys frequently is recommended to keep things moving along at a reasonable pace. At the end of each week after the first you'll do a final exercise set using Teradata and answer multiple choice quiz questions based on your results. You use the same real-world data set for each quiz--product information from Dillard's department stores—helping you build some familiarity with the data by the end of the course. The final week of the course doesn't cover any new material: it just contains the final quiz. Managing Big Data with MySQL is a great course for learning practical relational database querying skills with plenty of exercises that let you interact with real-life data sets. The focus on drilling ungraded exercises combined with sparing use of lectures after the first week does, however, make the course feel impersonal. It plays out more like a collection of training materials than the sort of university-style course you may expect from Coursera. I give Managing Big Data with MySQL 4.5 out of 5 stars: Great.
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10/10 starsTaking Now
2 years, 8 months ago
I'm surprised that given SQL is in such high demand there are so few courses on Coursera that even touch on this topic. But that said, this is the only SQL class you need to take for becoming quite comfortable with the language. The lectures are clear and helpful. The interface is excellent. And the exercises and quizzes really help you master the materials. This is a time-consuming class, but you learn stuff that you can apply directly to your work. I've taken data science classes on Coursera from JHU and they pale in comparison to this one in terms of the depth of the materials and practicality. I recommend it to anyone who wants to learn SQL.
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