Об этом курсе: 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. By the end of the course, you will be comfortable installing Python packages, analyzing existing data, and generating visualizations of that data. This course will complete your education as a scripter, enabling you to locate, install, and use Python packages written by others. You will be able to effectively utilize tools and packages that are widely available to amplify your effectiveness and write useful programs.
Для кого этот курс: This class is for people who have completed the other courses within the specialization and want to put the skills they have learned throughout the specialization to use in a culminating project.
Преподаватели: Scott Rixner, Professor
Computer Science
Преподаватели: Joe Warren, Professor
Computer Science
| Основные сведения | Course 4 of 4 in the Introduction to Scripting in Python Specialization |
| Уровень | Beginner |
| 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 |
- Видео: Class Structure
- Видео: Using Python Documentation
- Видео: Writing Documentation
- Видео: Python Built-in Modules
- Reading: Code Reuse
- Видео: Installing Packages in Thonny
- Reading: Practice Project: Drawing a USA Map in matplotlib
- Видео: Importing Your Own Code
- Видео: Line Plots with Pygal
- Видео: Installing Packages using PIP - Part 1
- Видео: Installing Packages using PIP - Part 2
- Reading: Practice Project: Extracting Data from an SVG File
- Видео: Project 1 Video
- Reading: Project Description: Creating Line Plots of GDP Data
- Reading: OwlTest: Automated Feedback and Assessment
- LTI Item: Project Submission History
- Reading: Hashing
- Видео: Analyzing the Efficiency of Your Code
- Видео: Comparing Two Methods for Joining CSV Files
- Reading: Practice Project: Reconciling Cancer-Risk Data with the USA Map
- Видео: Project 2 Video
- Reading: Project Description: Plotting GDP Data on a World Map - Part 1
- Reading: Version Control
- Reading: Practice Project: Visualizing Cancer-risk Data on the USA Map
- Видео: Project 3 Video
- Reading: Project Description: Plotting GDP Data on a World Map - Part 2
- Видео: Wrapup Video
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| Приобрести курс | |
|---|---|
| Получить доступ к материалам курса | Доступен |
| Получить доступ к оцениваемым материалам курса | Доступен |
| Получить итоговую оценку | Доступен |
| Earn a shareable Course Certificate | Доступен |
Very good course. Thorough and detailed explanation of all concepts. Course takes you smoothly from beginner level to the very end. Amazing how much can be learned in this course. The learning curve is gradual so make sure you follow instructions and complete all the practice assignments in order. Definitely worth the time.
Awesome course! From 0 to hero :D
A challenging and rewarding specialization - thank you Joe and Scott!
MH
At times a bit tough if you want to fully understand all parts of the "basics", but highly worth it