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:
About this Course
최근 조회 233,598회
배울 내용
Explain the basics of Object Oriented Python
Understand how data is stored across multiple tables in a database
Use the Create, Read, Update, and Delete operations to manage databases
Utilize the Google Maps API to visualize data
귀하가 습득할 기술
Python ProgrammingDatabase (DBMS)SqliteSQL
강의 계획 - 이 강좌에서 배울 내용
주
1완료하는 데 2시간 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.
8개 동영상 (총 64분), 4 readings, 2 quizzes
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 310m
Object Oriented Programming22m
주
2완료하는 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.
7개 동영상 (총 77분), 3 quizzes
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 SQL22m
주
3완료하는 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.
8개 동영상 (총 81분), 2 quizzes
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 SQL20m
주
4완료하는 데 2시간 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.
5개 동영상 (총 62분), 2 quizzes
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 Python18m
4.8
2018개의 리뷰35%
이 강좌를 수료한 후 새로운 경력 시작하기
34%
이 강좌를 통해 확실한 경력상 이점 얻기
13%
급여 인상 또는 승진하기
Using Databases with Python의 최상위 리뷰
하이라이트
Top rated instructor
(176)High quality course material
(143)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....
This course was great! I enjoyed parsing different types of data: from documents and the web. This course is definitely (rudimentary) a must take course for anyone who wants to go into data science.
강사
Charles Russell Severance
ProfessorSchool of Information
미시건 대학교 정보
The mission of the University of Michigan is to serve the people of Michigan and the world through preeminence in creating, communicating, preserving and applying knowledge, art, and academic values, and in developing leaders and citizens who will challenge the present and enrich the future.
모두를 위한 Python 전문 분야 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
강의 및 과제를 언제 이용할 수 있게 되나요?
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.
이 전문 분야를 구독하면 무엇을 이용할 수 있나요?
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.
환불 규정은 어떻게 되나요?
재정 지원을 받을 수 있나요?
궁금한 점이 더 있으신가요? 학습자 도움말 센터를 방문해 보세요.
Coursera는 세계 최고의 교육에 대한 보편적인 접근 기회를 제공하며,
최고의 대학 및 기관들과 제휴하여 온라인 강좌를 제공합니다.
© 2019 Coursera Inc. All rights reserved.
