About this Course
최근 조회 88,780

다음 전문 분야의 5개 강좌 중 4번째 강좌:

100% 온라인

지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.

유동적 마감일

일정에 따라 마감일을 재설정합니다.

완료하는 데 약 24시간 필요

권장: 5 weeks, 8-12 hours per week...


자막: 중국어 (간체자), 베트남어, 한국어, 러시아어, 영어, 스페인어...

귀하가 습득할 기술

Data AnalysisMySQLTeradataSQL

다음 전문 분야의 5개 강좌 중 4번째 강좌:

100% 온라인

지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.

유동적 마감일

일정에 따라 마감일을 재설정합니다.

완료하는 데 약 24시간 필요

권장: 5 weeks, 8-12 hours per week...


자막: 중국어 (간체자), 베트남어, 한국어, 러시아어, 영어, 스페인어...

Course을(를) 수강하는 학습자

  • Data Analysts
  • Controllers
  • Business Analysts
  • Process Analysts
  • Tutors

강의 계획 - 이 강좌에서 배울 내용

완료하는 데 1시간 필요

About this Specialization and Course

3개 동영상 (총 16분), 4 readings
3개의 동영상
Welcome to Managing Big Data with MySQL1m
What You Will Learn in This Course10m
4개의 읽기 자료
Specialization Overview10m
Course Overview10m
Special Thanks!5m
완료하는 데 5시간 필요

Understanding Relational Databases

9개 동영상 (총 55분), 7 readings, 1 quiz
9개의 동영상
How Relational Databases Help Solve Those Problems8m
Database Design Tools That Will Help You Learn SQL Faster4m
How Entity-Relationship Diagrams Work8m
Database Structures Illustrated by Entity-Relationship Diagrams6m
Relational Schemas9m
How to Make Entity-Relationship Diagrams using ERDPlus4m
How to Make Relational Schemas using ERDPlus4m
Wrapping up Week 130
7개의 읽기 자료
Entity-Relationship Written Exercises1h
Entity-Relationship Written Exercises: Answer Key5m
Relational Schemas Written Exercises1h
Relational Schemas Written Exercises: Answer Key5m
Dognition Relational Schema Practice Exercise30m
Dillard's Relational Schema Practice Questions30m
Week One Quiz: Answers and Feedback10m
1개 연습문제
Week 1 Graded Quiz45m
완료하는 데 8시간 필요

Queries to Extract Data from Single Tables

8개 동영상 (총 60분), 11 readings, 5 quizzes
8개의 동영상
Meet Your Dognition Data11m
Meet Your Dillard's Data2m
Introduction to Query Syntax7m
How to Use Jupyter Notebooks16m
How to Use Your Jupyter Account8m
How to Use Teradata Viewpoint and SQL Scratchpad10m
You Have Already Become a Different Level of Business Analyst1m
11개의 읽기 자료
Dognition Database Information10m
Dillard's Database Information10m
How to Use Jupyter (Written Instructions)10m
MySQL Exercise 1: Answer Key10m
MySQL Exercise 2: Answer Key10m
MySQL Exercise 3: Answer Key10m
How to Login to and Use Teradata Viewpoint (Written Instructions)10m
Week 2 Teradata Practice Exercises Guide1시 30분
Introduction to Teradata10m
Read Before Starting Quiz 210m
Week 2 Quiz: Answers and Feedback10m
1개 연습문제
Week 2 Graded Quiz using Teradata30m
완료하는 데 10시간 필요

Queries to Summarize Groups of Data from Multiple Tables

6개 동영상 (총 29분), 7 readings, 6 quizzes
6개의 동영상
Habits that Help You Avoid Mistakes4m
What are Joins?8m
Joins with Many to Many Relationships and Duplicates6m
A Note about Our Join Examples2m
No More Waiting to Retrieve Your Data42
7개의 읽기 자료
MySQL Exercise 4: Answer Key10m
MySQL Exercise 5: Answer Key10m
There is NO Answer Key for MySQL Exercise 65m
MySQL Exercise 7: Answer Key10m
MySQL Exercise 8: Answer Key10m
Week 3 Teradata Practice Exercises Guide2h
Week 3 Quiz: Answers and Feedback10m
1개 연습문제
Week 3 Graded Quiz using Teradata1시 15분
완료하는 데 11시간 필요

Queries to Address More Detailed Business Questions

2개 동영상 (총 9분), 6 readings, 4 quizzes
2개의 동영상
Start with an Analysis Plan5m
6개의 읽기 자료
MySQL Exercise 9: Answer Key10m
MySQL Exercise 10: Answer Key10m
Dognition Structured Pyramid Analysis Plan (SPAP)30m
MySQL Exercise 11: Answer Key10m
MySQL Exercise 12: Answer Key10m
No Week Four Quiz5m
556개의 리뷰Chevron Right


이 강좌를 수료한 후 새로운 경력 시작하기


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Managing Big Data with MySQL의 최상위 리뷰

대학: YJAug 20th 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.

대학: 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!!!!!



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

듀크대학교 정보

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....

MySQL 전문가 과정: 비즈니스를 위한 분석 테크닉 전문 분야 정보

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....
MySQL 전문가 과정: 비즈니스를 위한 분석 테크닉

자주 묻는 질문

  • 강좌에 등록하면 바로 모든 비디오, 테스트 및 프로그래밍 과제(해당하는 경우)에 접근할 수 있습니다. 상호 첨삭 과제는 이 세션이 시작된 경우에만 제출하고 검토할 수 있습니다. 강좌를 구매하지 않고 살펴보기만 하면 특정 과제에 접근하지 못할 수 있습니다.

  • 강좌를 등록하면 전문 분야의 모든 강좌에 접근할 수 있고 강좌를 완료하면 수료증을 취득할 수 있습니다. 전자 수료증이 성취도 페이지에 추가되며 해당 페이지에서 수료증을 인쇄하거나 LinkedIn 프로필에 수료증을 추가할 수 있습니다. 강좌 내용만 읽고 살펴보려면 해당 강좌를 무료로 청강할 수 있습니다.

  • No. Completion of a Coursera course does not earn you academic credit from Duke; therefore, Duke is not able to provide you with a university transcript. However, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

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