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 425,272회
학습자 경력 결과
34%
이 강좌를 수료한 후 새로운 경력 시작하기
34%
이 강좌를 통해 확실한 경력상 이점 얻기
13%
급여 인상 또는 승진하기
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%
이 강좌를 수료한 후 새로운 경력 시작하기
34%
이 강좌를 통해 확실한 경력상 이점 얻기
13%
급여 인상 또는 승진하기
공유 가능한 수료증
완료 시 수료증 획득
100% 온라인
지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.
다음 전문 분야의 5개 강좌 중 4번째 강좌:
유동적 마감일
일정에 따라 마감일을 재설정합니다.
완료하는 데 약 13시간 필요
영어
자막: 영어, 한국어
제공자:
미시건 대학교
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.
강의 계획 - 이 강좌에서 배울 내용
완료하는 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.
완료하는 데 2시간 필요
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
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 SQL22m
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 SQL20m
완료하는 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.
완료하는 데 2시간 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 Python18m
검토
USING DATABASES WITH PYTHON의 최상위 리뷰
BT 제공Jan 31, 2020
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.
SZ 제공Sep 10, 2016
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.
MM 제공Mar 12, 2018
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....
JG 제공Jun 16, 2016
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.
JL 제공Jun 22, 2017
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.
GB 제공Jan 13, 2018
It's an excellent course. Thanks for the oportunity to learn. Thanks to Coursera, to the University of Michigan and of course to Dr. Chuck, a very good an enthusiastic teacher! All the best for you!
RS 제공Mar 5, 2019
This course is well designed to get fast launching in programming & talking to data with python. As the name suggests " Python For Everybody ", courses in this specialization really signifies that.
CS 제공Jul 5, 2018
Well taught course, with material made easy to understand and discussed in an engaging way. The assignments really help to solidify your understanding and are like puzzles that I enjoy working at.
CW 제공Jan 19, 2020
Tied together many data transfer concepts that I had heard of but did not understand. Very interesting set of topics - makes a novice understand what other languages might be interesting to learn.
SS 제공Nov 10, 2018
Amazing experience yet again... Dr Chuck makes it so seamless to connect python, with web data retrieval, json/xml parsing and then linking it all into building a database from scratch. Thank you!
ML 제공Jul 5, 2018
this course is very helpful. It would be even more charming if the difficulty level increases slightly after several training videos to throw challenge at the programmer.Rest its worth 5 stars...
BR 제공Jan 2, 2016
I had a little bit of knowledge about Python coding before taking these courses, but it was very insightful and helpful in my quest to learn more and helped instill the things I did already know.
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.
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