Об этом курсе: 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. By the end of the course, you will be comfortable working with tabular data in Python. This will extend your Python programming expertise, enabling you to write a wider range of scripts using Python. This course uses Python 3. While most Python programs continue to use Python 2, Python 3 is the future of the Python programming language. This course uses basic desktop Python development environments, allowing you to run Python programs directly on your computer.
Для кого этот курс: This class is for people who have have the background from our Python Data Representations course.
Автор: Rice University
Преподаватели: Scott Rixner, Professor
Computer Science
Преподаватели: Joe Warren, Professor
Computer Science
| Основные сведения | Курс 3 из 4 — Introduction to Scripting in Python Specialization |
| Уровень | Начинающий |
| Выполнение | This is a four week class with an expected workload of 5-7 hours per week. |
| Язык | English |
| Как пройти курс | Чтобы пройти курс, выполните все оцениваемые задания. |
| Оценки пользователей |
Программа курса
НЕДЕЛЯ 1
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.
7 видео, 2 материала для самостоятельного изучения
- Видео: Class Structure
- Видео: Python Dictionaries
- Видео: Defining a Dictionary
- Видео: Dictionary Lookup and Update
- Видео: Checking Keys
- 阅读: Dictionaries - Example
- Видео: Handling Dictionary Errors
- 阅读: Practice Exercises for Dictionaries
Оцениваемый: Dictionaries
НЕДЕЛЯ 2
Tabular Data and Nested Data Structures
This module will teach you about storing tabular data within Python programs using lists and dictionaries.
4 видео, 2 материала для самостоятельного изучения
- 阅读: Tabular Data
- Видео: Tabular Data as a Nested List
- Видео: Tabular Data as a Nested Dictionary
- Видео: Displaying Dictionaries
- 阅读: Practice Exercises for Nested Data Structures
Оцениваемый: Nested Representations for Tabular Data
НЕДЕЛЯ 3
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.
8 видео, 4 материала для самостоятельного изучения
- 阅读: CSV Files
- Видео: Parsing CSV Files
- Видео: Python's CSV Module
- Видео: CSV DictReader
- Видео: CSV Reader Options
- Видео: Experimenting with CSV Methods - Part 1
- Видео: Experimenting with CSV Methods - Part 2
- 阅读: Practice Project: Loading Cancer-Risk Data
- Видео: Project Video for Part 1
- 阅读: Project Description: Reading and Writing CSV Files
- 阅读: OwlTest: Automated Feedback and Assessment
- LTI 项目: Project Submission History
Оцениваемый: Project: Reading and Writing CSV Files
НЕДЕЛЯ 4
Organizing Data
This module will teach you how to sort data in Python. You will organize and analyze tabular data.
6 видео, 3 материала для самостоятельного изучения
- Видео: Lambda
- Видео: Advanced Sorting
- 阅读: Dictionaries vs. Lists for storing data
- Видео: Refactoring Your Code - Part 1
- Видео: Refactoring Your Code - Part 2
- 阅读: Practice Project: Processing Cancer-Risk Data
- Видео: Project Video for Part 2
- 阅读: Project Description: Analyzing Baseball Data
Оцениваемый: Project: Analyzing Baseball Data
Часто задаваемые вопросы
Как это работает
课程作业
每门课程都像是一本互动的教科书，具有预先录制的视频、测验和项目。
来自同学的帮助
与其他成千上万的学生相联系，对想法进行辩论，讨论课程材料，并寻求帮助来掌握概念。
证书
获得正式认证的作业，并与朋友、同事和雇主分享您的成功。
Авторы
Rice University
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.
Стоимость
| Приобрести курс | |
|---|---|
| Получить доступ к материалам курса | Доступен |
| Получить доступ к оцениваемым материалам курса | Доступен |
| Получить итоговую оценку | Доступен |
| Получите сертификат о прохождении курса, ссылкой на который можно делиться с другими людьми | Доступен |
Рейтинги и отзывы
De mucha utilidad, permite ver la gran variedad de funciones que dispone Python.
It's fantastic learning opportunity, well taught, covered almost everything.Baseball project is cherry on the cake.
Great teachers I must say!
Learned many new things and cool teachers!
Coursera делает лучшее в мире образование доступным каждому, предлагая онлайн-курсы от ведущих университетов и организаций.
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For foundation part to data analysis and concerning about it help me in the basic understanding.
Though with the pandas library make it simple that is some sort of drawback I find.
But it make my concept clear.
Thanks for the python Data Analysis course by Rice university.