This course will introduce students to the basics of the Structured Query Language (SQL) as well as basic database design for storing data as part of a multi-step data gathering, analysis, and processing effort. The course will use SQLite3 as its database. We will also build web crawlers and multi-step data gathering and visualization processes. We will use the D3.js library to do basic data visualization. This course will cover Chapters 14-15 of the book “Python for Everybody”. To succeed in this course, you should be familiar with the material covered in Chapters 1-13 of the textbook and the first three courses in this specialization. This course covers Python 3.
제공자:
모두를 위한 Python 특화 과정미시건 대학교이 강좌에 대하여
최근 조회 1,625,493회
학습자 경력 결과
34%
가 이 강좌를 수료한 후 새로운 커리어를 시작함
34%
가 이 강좌를 통해 확실한 경력상 이점을 얻음
13%
가 급여 인상 또는 승진 성취
공유 가능한 수료증
완료 시 수료증 획득
100% 온라인
지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.
다음 특화 과정의 5개 강좌 중 4번째 강좌:
유동적 마감일
일정에 따라 마감일을 재설정합니다.
완료하는 데 약 14시간 필요
영어
자막: 영어, 한국어
배울 내용
Use the Create, Read, Update, and Delete operations to manage databases
Explain the basics of Object Oriented Python
Understand how data is stored across multiple tables in a database
Utilize the Google Maps API to visualize data
귀하가 습득할 기술
Python ProgrammingDatabase (DBMS)SqliteSQL
학습자 경력 결과
34%
가 이 강좌를 수료한 후 새로운 커리어를 시작함
34%
가 이 강좌를 통해 확실한 경력상 이점을 얻음
13%
가 급여 인상 또는 승진 성취
공유 가능한 수료증
완료 시 수료증 획득
100% 온라인
지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.
다음 특화 과정의 5개 강좌 중 4번째 강좌:
유동적 마감일
일정에 따라 마감일을 재설정합니다.
완료하는 데 약 14시간 필요
영어
자막: 영어, 한국어
제공자:
미시건 대학교
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강의 계획 - 이 강좌에서 배울 내용
완료하는 데 3시간 필요
Object Oriented Python
To start this class out we cover the basics of Object Oriented Python. We won't be writing our own objects, but since many of the things we use like BeautifulSoup, strings, dictionaries, database connections all use Object Oriented (OO) patterns we should at least understand some of its patterns and terminology.
완료하는 데 3시간 필요
8개 동영상 (총 64분), 4 개의 읽기 자료, 2 개의 테스트
8개의 동영상
Unicode Characters and Strings17m
14.1 - Object Oriented Definitions and Terminology8m
14.2 - Our First Class and Object7m
14.3 - Object Life Cycle8m
14.4 - Object Inheritance6m
Bonus: Interview - Software Engineering - Bertrand Meyer11m
Bonus: Office Hours - London1m
4개의 읽기 자료
Help us learn more about you!10m
Python Textbook10m
Coming from Python 2 - Encoding Data in Python 310m
Notice for Auditing Learners: Assignment Submission10m
2개 연습문제
Using Encoded Data in Python 330m
Object Oriented Programming30m
완료하는 데 4시간 필요
Basic Structured Query Language
We learn the four core CRUD operations (Create, Read, Update, and Delete) to manage data stored in a database.
완료하는 데 4시간 필요
7개 동영상 (총 77분)
7개의 동영상
15.2 - Using Databases12m
15.3 - Single Table CRUD16m
Worked Example: Counting Email in a Database13m
Bonus: Office Hours Zagreb, Croatia3m
Interview: Elizabeth Fong - The Early Years of SQL7m
Worked Example: Twspider.py (Chapter 15)9m
1개 연습문제
Single-Table SQL30m
완료하는 데 3시간 필요
Data Models and Relational SQL
In this section we learn about how data is stored across multiple tables in a database and how rows are linked (i.e., we establish relationships) in the database.
완료하는 데 3시간 필요
8개 동영상 (총 81분)
8개의 동영상
15.5 - Representing a Data Model in Tables11m
15.6 - Inserting Relational Data9m
15.7 - Reconstructing Data with JOIN12m
Worked Example: Tracks.py (Chapter 15)13m
Bonus: Office Hours Perth, Australia1m
Bonus Interview: Niklaus Wirth15m
Bonus: Office Hours Barcelona2m
1개 연습문제
Multi-Table Relational SQL30m
완료하는 데 3시간 필요
Many-to-Many Relationships in SQL
In this section we explore how to model situations like students enrolling in courses where each course has many students and each student is enrolled in many courses.
완료하는 데 3시간 필요
5개 동영상 (총 62분)
5개의 동영상
Worked Example: roster.py (Chapter 15)11m
Bonus: Office Hours Mexico, City54
Bonus Interview: Andrew Tannenbaum - Minix10m
Worked Example: Twfriends.py (Chapter 15)21m
1개 연습문제
Many-to-Many Relationships and Python30m
검토
USING DATABASES WITH PYTHON의 최상위 리뷰
BT 제공2020년 1월 31일
Course is worthwhile taking and Dr. Severance is engaging in the videos. People new to Python should read book chapters prior to viewing videos so as to familiarize themselves with the subject matter.
MM 제공2018년 3월 12일
The course is great... You can definitely learn many things... Was kind of hard for me and i went many times back and forth through most of the lectures... However i think i learn many new things....
SZ 제공2016년 9월 10일
I hope this can be a little bit more challenge. All the assignments are easy to be finished, some of them can be done within minutes. Comparing with JHU's R programming, that can be too hard, though.
JL 제공2017년 6월 22일
Wonderful course! I learnt many useful SQL statements and know how to combine database operations into python program. Dr. Chuck's lectures are always comprehensible and clear. Thank you, professor.
모두를 위한 Python 특화 과정 정보
This Specialization builds on the success of the Python for Everybody course and will introduce fundamental programming concepts including data structures, networked application program interfaces, and databases, using the Python programming language. In the Capstone Project, you’ll use the technologies learned throughout the Specialization to design and create your own applications for data retrieval, processing, and visualization.
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 Specialization?
When you enroll in the course, you get access to all of the courses in the Specialization, 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.
Is financial aid available?
Yes, Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project. Learn more.
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