Much of the world's data resides in databases. SQL (or Structured Query Language) is a powerful language which is used for communicating with and extracting data from databases. A working knowledge of databases and SQL is a must if you want to become a data scientist.
제공자:
IBM이 강좌에 대하여
최근 조회 1,079,902회
학습자 경력 결과
38%
가 이 강좌를 수료한 후 새로운 커리어를 시작함
33%
가 이 강좌를 통해 확실한 경력상 이점을 얻음
공유 가능한 수료증
완료 시 수료증 획득
100% 온라인
지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.
유동적 마감일
일정에 따라 마감일을 재설정합니다.
초급 단계
완료하는 데 약 14시간 필요
영어
자막: 영어, 한국어, 아랍어
배울 내용
Create and access a database instance on cloud
Write basic SQL statements: CREATE, DROP, SELECT, INSERT, UPDATE, DELETE
Filter, sort, group results, use built-in functions, access multiple tables
Access databases from Jupyter using Python and work with real world datasets
귀하가 습득할 기술
Cloud DatabasesPython ProgrammingIpythonRelational Database Management System (RDBMS)SQL
학습자 경력 결과
38%
가 이 강좌를 수료한 후 새로운 커리어를 시작함
33%
가 이 강좌를 통해 확실한 경력상 이점을 얻음
공유 가능한 수료증
완료 시 수료증 획득
100% 온라인
지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.
유동적 마감일
일정에 따라 마감일을 재설정합니다.
초급 단계
완료하는 데 약 14시간 필요
영어
자막: 영어, 한국어, 아랍어
제공자:
IBM
IBM offers a wide range of technology and consulting services; a broad portfolio of middleware for collaboration, predictive analytics, software development and systems management; and the world's most advanced servers and supercomputers. Utilizing its business consulting, technology and R&D expertise, IBM helps clients become "smarter" as the planet becomes more digitally interconnected. IBM invests more than $6 billion a year in R&D, just completing its 21st year of patent leadership. IBM Research has received recognition beyond any commercial technology research organization and is home to 5 Nobel Laureates, 9 US National Medals of Technology, 5 US National Medals of Science, 6 Turing Awards, and 10 Inductees in US Inventors Hall of Fame.
강의 계획 - 이 강좌에서 배울 내용
완료하는 데 3시간 필요
Week 1 - Introduction to Databases and Basic SQL
In Week 1 you will be introduced to databases. You will create a database instance on the cloud. You will learn some of the basic SQL statements. You will also write and practice basic SQL hands-on on a live database.
완료하는 데 3시간 필요
12개 동영상 (총 38분), 6 개의 읽기 자료, 4 개의 테스트
12개의 동영상
Introduction to Databases4m
How to create a Database instance on Cloud3m
CREATE Table Statement2m
SELECT Statement3m
COUNT, DISTINCT, LIMIT2m
INSERT Statement2m
UPDATE and DELETE Statements3m
Information and Data Models4m
Types of Relationships3m
Mapping Entities to Tables1m
Relational Model Concepts2m
6개의 읽기 자료
Hands-on LAB: Provision a Cloud Hosted Database Instance30m
Examples to CREATE and DROP tables5m
SELECT statement examples5m
Hands-on LAB: Composing and Running basic SQL queries45m
About this Optional lesson2m
Additional Reading10m
4개 연습문제
Databases15m
Basic SQL15m
Practice Quiz: Review of Relational Database Concepts10m
Optional Not Graded Quiz on Relational Concepts15m
완료하는 데 4시간 필요
Week 2 - Advanced SQL
By the end of this module, you will learn the following: (1) Learn how to use string patterns and ranges to search data and how to sort and group data in result sets. (2) Learn how to work with multiple tables in a relational database using join operations.
완료하는 데 4시간 필요
9개 동영상 (총 38분), 5 개의 읽기 자료, 4 개의 테스트
9개의 동영상
Sorting Result Sets2m
Grouping Result Sets3m
Built-in Database Functions6m
Date and Time Built-in Functions2m
Sub-Queries and Nested Selects4m
Working with Multiple Tables6m
Relational Model Constraints2m
Relational Model Constraints - Advanced4m
5개의 읽기 자료
Hands-on LAB: String Patterns, Sorting & Grouping1시간
Hands-on Lab: Built-in functions20m
Hands-on Lab: Sub-queries, Multiple Tables30m
About this Optional lesson2m
Additional Information on Keys and Constraints5m
4개 연습문제
String Patterns, Ranges, Sorting and Grouping15m
Functions, Sub-Queries, Multiple Tables15m
Practice Quiz: Review of Database Constraints10m
Optional Not Graded Quiz on Constraints30m
완료하는 데 4시간 필요
Week 3 - Accessing Databases using Python
After completing the lessons in this week, you will learn how to explain the basic concepts related to using Python to connect to databases and then create tables, load data, query data using SQL, and analyze data using Python
완료하는 데 4시간 필요
10개 동영상 (총 45분), 3 개의 읽기 자료, 6 개의 테스트
10개의 동영상
Writing code using DB-API4m
Connecting to a database using ibm_db API2m
Creating tables, loading data and querying data3m
Analyzing data with Python9m
Join Overview3m
Inner Join3m
Left Outer Join5m
Right Outer Join4m
Full Outer Join2m
3개의 읽기 자료
Lab 0: Create Database Credentials10m
About this Optional Section2m
Hands-on LAB: JOINs45m
2개 연습문제
Database access from Python15m
JOIN operations15m
완료하는 데 3시간 필요
Week 4: Course Assignment
As a hands-on Data Science assignment, you will be working with multiple real world datasets for the city of Chicago. You will be asked questions that will help you understand the data just like a data scientist would. You will be assessed both on the correctness of your SQL queries and results.
완료하는 데 3시간 필요
2개 동영상 (총 13분), 2 개의 읽기 자료, 4 개의 테스트
2개의 읽기 자료
LOADing Data3m
IBM Digital Badge2m
1개 연습문제
Opt-in to receive your badge!
검토
DATABASES AND SQL FOR DATA SCIENCE의 최상위 리뷰
BS 제공2020년 5월 20일
Amazing course for beginners! The entire course is well structured and has good hands-on assignments. SQL is extremely essential for Database management and fun learning so please do try this one out!
DE 제공2019년 12월 27일
Course is god enough. However the last assessment is not. Misprints and not clear questions lead to disappointing marks in the end. Also other students marked assessments based on their understanding.
SA 제공2020년 4월 22일
The lessons were short and easy to follow, providing all the basics as well as a few more advanced topics, to get student quickly up-to-speed on databases and SQL and their application in D/S realm.
AT 제공2020년 2월 26일
A very useful course with some very interesting datasets/Jupyter notebooks to work through/practice your skills. Offers a good balanced blend between theory and practical/practice. Very good course!
자주 묻는 질문
When will I have access to the lectures and assignments?
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
What will I get if I subscribe to this Certificate?
When you enroll in the course, you get access to all of the courses in the Certificate, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
What is the refund policy?
If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.
궁금한 점이 더 있으신가요? 학습자 도움말 센터를 방문해 보세요.
© 2020 Coursera Inc. All rights reserved.
