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自分のスケジュールですぐに学習を始めてください。

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約23時間で修了

推奨:5 weeks, 8-12 hours per week...

英語

字幕:中国語(簡体), ベトナム語, 韓国語, ロシア語, 英語

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Data AnalysisMySQLTeradataSQL

100%オンライン

自分のスケジュールですぐに学習を始めてください。

柔軟性のある期限

スケジュールに従って期限をリセットします。

約23時間で修了

推奨:5 weeks, 8-12 hours per week...

英語

字幕:中国語(簡体), ベトナム語, 韓国語, ロシア語, 英語

シラバス - 本コースの学習内容

1
1時間で修了

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 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. Specifically, you will: (1) Describe the structure of relational databases; (2) Interpret and create entity-relationship diagrams and relational schemas that describe the contents of specific databases; (3) Write queries that retrieve and sort data that meet specific criteria, and retrieve such data from real MySQL and Teradata business databases that contain over 1 million rows of data; (4) Execute practices that limit the impact of your queries on other coworkers; (5) Summarize rows of data using aggregate functions, and segment aggregations according to specified variables; (6) Combine and manipulate data from multiple tables across a database; (7) Retrieve records and compute calculations that are dependent on dynamic data features; (8) Translate data analysis questions into SQL queries that accommodate the types of anomalies found in real data sets. 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.

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3件のビデオ (合計16分), 4 readings
3件のビデオ
Welcome to Managing Big Data with MySQL1 分
What You Will Learn in This Course10 分
4件の学習用教材
Specialization Overview10 分
Course Overview10 分
IMPORTANT FOR EVERY LEARNER10 分
Special Thanks!5 分
5時間で修了

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. <p>By the end of the week, you will be able to:<ul><li>Describe the fundamental principles of relational database design <li>Interpret Entity Relationship (ER) diagrams and Entity Relationship (ER) schemas, and</li><li>Create your own ER diagrams and relational schemas using a software tool called ERDPlus that you will use to aid your query-writing later in the course.</li></ul><p>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.</p> <p>To get started, please begin with the video “Problems with Having a Lot of Data Used by a Lot of People.” <p>As always, if you have any questions, post them to the Discussions. <p>I hope you enjoy this week's materials!

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9件のビデオ (合計55分), 7 readings, 1 quiz
9件のビデオ
How Relational Databases Help Solve Those Problems8 分
Database Design Tools That Will Help You Learn SQL Faster4 分
How Entity-Relationship Diagrams Work8 分
Database Structures Illustrated by Entity-Relationship Diagrams6 分
Relational Schemas9 分
How to Make Entity-Relationship Diagrams using ERDPlus4 分
How to Make Relational Schemas using ERDPlus4 分
Wrapping up Week 130
7件の学習用教材
Entity-Relationship Written Exercises1 時間
Entity-Relationship Written Exercises: Answer Key5 分
Relational Schemas Written Exercises1 時間
Relational Schemas Written Exercises: Answer Key5 分
Dognition Relational Schema Practice Exercise30 分
Dillard's Relational Schema Practice Questions30 分
Week One Quiz: Answers and Feedback10 分
1の練習問題
Week 1 Graded Quiz45 分
2
8時間で修了

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 containing tables of over 1 million rows. The other data set, donated from a national US department store chain called Dillard’s, is a Teradata database containing tables with over a hundred million rows. By the end of the week, you will be able to:1. Use two different database user interfaces2. Write queries to verify and describe all the contents of the Dognition MySQL database and the Dillard’s Teradata database3. Retrieve data that meet specific criteria in a socially-responsible using SELECT, FROM, WHERE, LIMIT, and TOP clauses, and4. Format the data you retrieve using aliases, DISTINCT clauses, and ORDER BY clauses.Make sure to watch the instructional videos about how to use the database interfaces we have established for this course, and complete both the MySQL and the Teradata exercises. At the end of the week, you will test your understanding of the SQL syntax introduced this week by completing the Week 2 graded quiz.To get started, please begin with the video “Introduction to Week 2.” As always, if you have any questions, post them to the Discussions. Enjoy this week's materials!

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8件のビデオ (合計60分), 11 readings, 5 quizzes
8件のビデオ
Meet Your Dognition Data11 分
Meet Your Dillard's Data2 分
Introduction to Query Syntax7 分
How to Use Jupyter Notebooks16 分
How to Use Your Jupyter Account8 分
How to Use Teradata Viewpoint and SQL Scratchpad10 分
You Have Already Become a Different Level of Business Analyst1 分
11件の学習用教材
Dognition Database Information10 分
Dillard's Database Information10 分
How to Use Jupyter (Written Instructions)10 分
MySQL Exercise 1: Answer Key10 分
MySQL Exercise 2: Answer Key10 分
MySQL Exercise 3: Answer Key10 分
How to Login to and Use Teradata Viewpoint (Written Instructions)10 分
Week 2 Teradata Practice Exercises Guide1 時間 30 分
Introduction to Teradata10 分
Read Before Starting Quiz 210 分
Week 2 Quiz: Answers and Feedback10 分
1の練習問題
Week 2 Graded Quiz using Teradata30 分
3
10時間で修了

Queries to Summarize Groups of Data from Multiple Tables

<p>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.</p><p>By the end of the week, you will be able to:</p><ul><li>Summarize values across entire columns, and break those summaries up according to specific variables or values in others columns using GROUP BY and HAVING clauses</li><li>Combine information from multiple tables using inner and outer joins</li><li>Use strategies to manage joins between tables with duplicate rows, many-to-many relationships, and atypical configurations</li><li>Practice one of the slightly more challenging use cases of aggregation functions, and</li><li>Work with the Dognition database to learn more about how MySQL handles mismatched aggregation levels.</li></ul><p>Make sure to watch the videos about joins, and complete both the MySQL and the Teradata exercises. At the end of the week, you will test your understanding of the SQL syntax introduced this week by completing the Week 3 graded quiz.</p><p>We strongly encourage you to use the course Discussions to help each other with questions. </p> <p>To get started, please begin with the video 'Welcome to Week 3.’</p><p>I hope you enjoy this week’s materials!</p>

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6件のビデオ (合計29分), 7 readings, 6 quizzes
6件のビデオ
Habits that Help You Avoid Mistakes4 分
What are Joins?8 分
Joins with Many to Many Relationships and Duplicates6 分
A Note about Our Join Examples2 分
No More Waiting to Retrieve Your Data42
7件の学習用教材
MySQL Exercise 4: Answer Key10 分
MySQL Exercise 5: Answer Key10 分
There is NO Answer Key for MySQL Exercise 65 分
MySQL Exercise 7: Answer Key10 分
MySQL Exercise 8: Answer Key10 分
Week 3 Teradata Practice Exercises Guide2 時間
Week 3 Quiz: Answers and Feedback10 分
1の練習問題
Week 3 Graded Quiz using Teradata1 時間 15 分
4
11時間で修了

Queries to Address More Detailed Business Questions

<p>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.</p> <p>By the end of the week, you will be able to:</p><ul><li>Design and execute subqueries</li><li>Introduce logical conditions into your queries using IF and CASE statements</li><li>Implement analyses that accommodate missing data or data mistakes, and</li><li>Write complex queries that incorporate many tables and clauses.</li></ul><p>By the end of this week you will feel confident claiming that you know how to write SQL queries to create business value. 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 week rather than including it in this week’s materials. </p> <p>Make sure to complete both the MySQL exercises and the Teradata exercises, and we strongly encourage you to use the course Discussions to help each other with questions. </p><p>To get started, please begin with the video 'Welcome to Week 4.’</p><p>I hope you enjoy this week’s materials!</p>

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2件のビデオ (合計9分), 6 readings, 4 quizzes
2件のビデオ
Start with an Analysis Plan5 分
6件の学習用教材
MySQL Exercise 9: Answer Key10 分
MySQL Exercise 10: Answer Key10 分
Dognition Structured Pyramid Analysis Plan (SPAP)30 分
MySQL Exercise 11: Answer Key10 分
MySQL Exercise 12: Answer Key10 分
No Week Four Quiz5 分
4.7
525件のレビューChevron Right

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コース終了後に新しいキャリアをスタートした

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Managing Big Data with MySQL からの人気レビュー

by SJNov 6th 2016

It was an Awesome course. Really enjoyed doing all the exercises. Now I feel quite confident to write any queries.\n\nSpecial Thanks to Professor Jana Schaich Borg for teaching so wonderfully!!!!!

by AZFeb 1st 2016

Great course! It takes you from zero knowledge of SQL to being able to write quite complicated queries, and being ready for most of standard SQL questions in job interviews. Strongly recommended!

講師

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Daniel Egger

Executive in Residence and Director, Center for Quantitative Modeling
Pratt School of Engineering, Duke University
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Jana Schaich Borg

Assistant Research Professor
Social Science Research Institute

デューク大学(Duke University)について

Duke University has about 13,000 undergraduate and graduate students and a world-class faculty helping to expand the frontiers of knowledge. The university has a strong commitment to applying knowledge in service to society, both near its North Carolina campus and around the world....

Excel` から MySQL: ビジネスのための分析テクニックの専門講座について

Formulate data questions, explore and visualize large datasets, and inform strategic decisions. In this Specialization, you’ll learn to frame business challenges as data questions. You’ll use powerful tools and methods such as Excel, Tableau, and MySQL to analyze data, create forecasts and models, design visualizations, and communicate your insights. In the final Capstone Project, you’ll apply your skills to explore and justify improvements to a real-world business process. The Capstone Project focuses on optimizing revenues from residential property, and Airbnb, our Capstone’s official Sponsor, provided input on the project design. Airbnb is the world’s largest marketplace connecting property-owner hosts with travelers to facilitate short-term rental transactions. The top 10 Capstone completers each year will have the opportunity to present their work directly to senior data scientists at Airbnb live for feedback and discussion....
Excel` から MySQL: ビジネスのための分析テクニック

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