This if the final course in the specialization which builds upon the knowledge learned in Python Programming Essentials, Python Data Representations, and Python Data Analysis. We will learn how to install external packages for use within Python, acquire data from sources on the Web, and then we will clean, process, analyze, and visualize that data. This course will combine the skills learned throughout the specialization to enable you to write interesting, practical, and useful programs.
Этот курс входит в специализацию ''Специализация Introduction to Scripting in Python'
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Специализация Introduction to Scripting in PythonУниверситет РайсаОб этом курсе
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Карьерные результаты учащихся
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Курс 4 из 4 в программе
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Начальный уровень
Прибл. 8 часов на выполнение
Английский
Субтитры: Английский, Китайский (упрощенное письмо)
Карьерные результаты учащихся
12%
начал новую карьеру, пройдя эти курсы
12%
получил значимые преимущества в карьере благодаря этому курсу
Сертификат, ссылками на который можно делиться с другими людьми
Получите сертификат по завершении
100% онлайн
Начните сейчас и учитесь по собственному графику.
Курс 4 из 4 в программе
Гибкие сроки
Назначьте сроки сдачи в соответствии со своим графиком.
Начальный уровень
Прибл. 8 часов на выполнение
Английский
Субтитры: Английский, Китайский (упрощенное письмо)
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Университет Райса
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.
Программа курса: что вы изучите
1 ч. на завершение
Week 1
This module will discuss the importance of using and writing documentation. The Python documentation is a valuable resource for learning about language features you haven't seen yet.
1 ч. на завершение
6 видео ((всего 38 мин.)), 2 материалов для самостоятельного изучения, 1 тест
6 видео
Welcome!1мин
Class Structure3мин
Using Python Documentation8мин
Writing Documentation9мин
Python Built-in Modules5мин
Installing Packages in Thonny9мин
2 материала для самостоятельного изучения
Code Reuse10мин
Practice Project: Drawing a USA Map in matplotlib10мин
1 практическое упражнение
Documentation14мин
3 ч. на завершение
Week 2
This module will teach you about packages and modules in Python, including how to install packages and how to create your own modules. You will also learn to use the Pygal plotting library.
3 ч. на завершение
6 видео ((всего 43 мин.)), 3 материалов для самостоятельного изучения, 2 тестов
6 видео
Importing Your Own Code7мин
Line Plots with Pygal6мин
Installing Packages using PIP - Part 17мин
Installing Packages using PIP - Part 26мин
Project 1 Video10мин
3 материала для самостоятельного изучения
Practice Project: Extracting Data from an SVG File10мин
Project Description: Creating Line Plots of GDP Data10мин
OwlTest: Automated Feedback and Assessment10мин
2 ч. на завершение
Week 3
This module will teach you about Python sets. Sets are used to hold unordered collections of data without duplicates. We will also discuss efficiency.
2 ч. на завершение
4 видео ((всего 36 мин.)), 3 материалов для самостоятельного изучения, 1 тест
4 видео
Python Sets7мин
Analyzing the Efficiency of Your Code8мин
Comparing Two Methods for Joining CSV Files9мин
Project 2 Video9мин
3 материала для самостоятельного изучения
Hashing10мин
Practice Project: Reconciling Cancer-Risk Data with the USA Map10мин
Project Description: Plotting GDP Data on a World Map - Part 110мин
2 ч. на завершение
Week 4
The final project of the specialization will enable you to demonstrate mastery of the concepts you have learned up to this point. You will also be able to understand and compare different approaches to reconciling two data sets.
2 ч. на завершение
3 видео ((всего 29 мин.)), 3 материалов для самостоятельного изучения, 1 тест
3 материала для самостоятельного изучения
Version Control10мин
Practice Project: Visualizing Cancer-risk Data on the USA Map10мин
Project Description: Plotting GDP Data on a World Map - Part 210мин
Рецензии
Лучшие отзывы о курсе PYTHON DATA VISUALIZATION
от партнера SS10 мар. 2019 г.
I went though all of the Specialization program and I totally recommend it. Awesome courses, the 4 of them, challenging projects and great material and classes from both Scott and Joe.
от партнера FG8 дек. 2018 г.
Great introduction to Python visualizations. The assignments are challenging but relevant and echo real world problems you might encounter.
от партнера CH6 июня 2019 г.
Great intro to python. I am taking a star away because I think a topic on OO python would have been very useful for me.
от партнера SG19 июля 2018 г.
The instructors are great, however, the library pygal is outdated, it does not support the newest versions of python.
Специализация Introduction to Scripting in Python: общие сведения
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.
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