This course will continue the introduction to Python programming that started with Python Programming Essentials and Python Data Representations. We'll learn about reading, storing, and processing tabular data, which are common tasks. We will also teach you about CSV files and Python's support for reading and writing them. CSV files are a generic, plain text file format that allows you to exchange tabular data between different programs. These concepts and skills will help you to further extend your Python programming knowledge and allow you to process more complex data.
제공자:
이 강좌에 대하여
최근 조회 79,099회
학습자 경력 결과
67%
가 이 강좌를 수료한 후 새로운 커리어를 시작함
60%
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.
다음 특화 과정의 4개 강좌 중 3번째 강좌:
유동적 마감일
일정에 따라 마감일을 재설정합니다.
초급 단계
완료하는 데 약 9시간 필요
영어
자막: 영어
학습자 경력 결과
67%
가 이 강좌를 수료한 후 새로운 커리어를 시작함
60%
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.
다음 특화 과정의 4개 강좌 중 3번째 강좌:
유동적 마감일
일정에 따라 마감일을 재설정합니다.
초급 단계
완료하는 데 약 9시간 필요
영어
자막: 영어
제공자:
라이스 대학교
Rice University is consistently ranked among the top 20 universities in the U.S. and the top 100 in the world. Rice has highly respected schools of Architecture, Business, Continuing Studies, Engineering, Humanities, Music, Natural Sciences and Social Sciences and is home to the Baker Institute for Public Policy.
강의 계획 - 이 강좌에서 배울 내용
완료하는 데 1시간 필요
Dictionaries
This module will teach you about Python's dictionary data type and its capabilities. Dictionaries are used to map keys to values within programs.
완료하는 데 1시간 필요
7개 동영상 (총 45분), 2 개의 읽기 자료, 1 개의 테스트
7개의 동영상
Welcome!2m
Class Structure4m
Python Dictionaries5m
Defining a Dictionary6m
Dictionary Lookup and Update8m
Checking Keys8m
Handling Dictionary Errors8m
2개의 읽기 자료
Dictionaries - Example10m
Practice Exercises for Dictionaries10m
1개 연습문제
Dictionaries14m
완료하는 데 1시간 필요
Tabular Data and Nested Data Structures
This module will teach you about storing tabular data within Python programs using lists and dictionaries.
완료하는 데 1시간 필요
4개 동영상 (총 32분), 2 개의 읽기 자료, 1 개의 테스트
4개의 동영상
Tabular Data as a Nested List10m
Tabular Data as a Nested Dictionary9m
Displaying Dictionaries5m
2개의 읽기 자료
Tabular Data10m
Practice Exercises for Nested Data Structures10m
1개 연습문제
Nested Representations for Tabular Data14m
완료하는 데 4시간 필요
Tabular Data and CSV Files
This module will teach you the basics of CSV files and how to read them from Python programs. We will discuss the use of Python's csv module to help you access tabular data in CSV files.
완료하는 데 4시간 필요
8개 동영상 (총 66분), 4 개의 읽기 자료, 2 개의 테스트
8개의 동영상
Parsing CSV Files6m
Python's CSV Module7m
CSV DictReader10m
CSV Reader Options9m
Experimenting with CSV Methods - Part 18m
Experimenting with CSV Methods - Part 27m
Project Video for Part 19m
4개의 읽기 자료
CSV Files10m
Practice Project: Loading Cancer-Risk Data10m
Project Description: Reading and Writing CSV Files10m
OwlTest: Automated Feedback and Assessment10m
완료하는 데 2시간 필요
Organizing Data
This module will teach you how to sort data in Python. You will organize and analyze tabular data.
완료하는 데 2시간 필요
6개 동영상 (총 53분), 3 개의 읽기 자료, 1 개의 테스트
6개의 동영상
Sorting7m
Lambda9m
Advanced Sorting5m
Refactoring Your Code - Part 17m
Refactoring Your Code - Part 27m
Project Video for Part 215m
3개의 읽기 자료
Dictionaries vs. Lists for storing data10m
Practice Project: Processing Cancer-Risk Data10m
Project Description: Analyzing Baseball Data10m
검토
PYTHON DATA ANALYSIS의 최상위 리뷰
MR 제공2020년 5월 17일
Excellent Lecture + good support from mentors (Patrick, the only one?). However, the final project's description is quite obscure, I have to rely heavily on owl-test.
AS 제공2020년 5월 15일
One of the best course in this specialization. It was really interesting work with some real world data which could really enhance the problem solving skills.
J 제공2019년 1월 29일
Important concepts covered - including dictionaries and data structures. Useful in developing a basic foundation and understanding of Python.
VS 제공2019년 11월 1일
Great Course ! Specially the project at the end uses some really powerful code, combining all that we had learnt throughout the course
Introduction to Scripting in Python 특화 과정 정보
This specialization is intended for beginners who would like to master essential programming skills. Through four courses, you will cover key programming concepts in Python 3 which will prepare you to use Python to perform common scripting tasks. This knowledge will provide a solid foundation towards a career in data science, software engineering, or other disciplines involving programming.
자주 묻는 질문
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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?
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