What will I be able to do upon completing the Specialization?

This specialization allows you to better manage dependencies, use matplotlib and NLTK in other projects, as well as build simple sites with Django.

Is this course really 100% online? Do I need to attend any classes in person?

This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.

Can I just enroll in a single course?

Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. Visit your learner dashboard to track your progress.

Is financial aid available?

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

Can I take the course for free?

No, you cannot take this course for free. 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. If you cannot afford the fee, you can apply for financial aid.

Select Topics in Python 专项课程

Select Topics in Python 专项课程

Create packages, charts and plots, a website, and a chatbot

位教师：Mohit Chandarana

包含在 Coursera Plus 中

了解更多

4 门课程系列

深入学习学科知识

4.4

（18 条评论）

中级等级

推荐体验

4 周完成

在 10 小时一周

灵活的计划

自行安排学习进度

4 门课程系列

深入学习学科知识

4.4

（18 条评论）

中级等级

推荐体验

4 周完成

在 10 小时一周

灵活的计划

自行安排学习进度

您将学到什么

Create websites with Django
Create charts and plots with Matplotlib and Jupyter notebooks
Create a chatbot with the NLTK library

要了解的详细信息

可分享的证书

添加到您的领英档案

授课语言：英语（English）

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借助实践项目精通一门科目或一个工具
培养对关键概念的深入理解
通过 Codio 获得职业证书

专业化 - 4门课程系列

This specialization is intended for people who are interested in furthering their Python skills. It is assumed that students are familiar with Python and have taken the Programming in Python: A Hands-On Tutorial.

These four courses cover a wide range of topics. Learn how to create and manage Python package. Use Jupyter notebooks to visualize data with Matplotlib. The third course focuses on the basics of the Django web framework. Finally, learn how to leverage Python for natural langauge processing.

应用的学习项目

Learners create a variety of projects from their own Python packages, as well as use third-party package management tools. They also transform data into different charts and plots. In the Django course, learners build three simple websites. Finally, natural language processing powers a chatbot that learners build.

Select Topics in Python: Packaging

第 1 门课程7小时

您将学到什么

Manage packages and virtual environments with Python's built-in tools
Manage packages and virtual environments with third-party tools
Package Python scripts and applications for a wider audience

您将获得的技能

类别：Package and Software Management

类别：Python Programming

类别：Virtual Environment

类别：Dependency Analysis

类别：Platform As A Service (PaaS)

类别：Application Deployment

类别：Development Environment

Select Topics in Python: Django

第 2 门课程7小时

您将学到什么

Styling with Bootstrap
Django's MVT framework
Deploying Django

您将获得的技能

类别：Django (Web Framework)

类别：GitHub

类别：Bootstrap (Front-End Framework)

类别：Version Control

类别：Application Deployment

类别：PostgreSQL

类别：Model View Controller

类别：HTML and CSS

类别：Database Development

类别：Object-Relational Mapping

类别：Application Frameworks

类别：Development Environment

类别：Unit Testing

类别：Virtual Environment

类别：Python Programming

Select Topics in Python: Matplotlib

第 3 门课程6小时

您将学到什么

Jupyter notebooks
Create charts and plots
Style and customize charts and plots

您将获得的技能

类别：Matplotlib

类别：Box Plots

类别：Scatter Plots

类别：Animations

类别：Histogram

类别：Plot (Graphics)

类别：Python Programming

类别：Data Visualization

类别：Interactive Data Visualization

类别：Jupyter

类别：Data Visualization Software

Select Topics in Python: Natural Language Processing

第 4 门课程6小时

您将学到什么

Analyze text in a variety of ways
Leverage the Natural Language Toolkit (NLTK) platform
Build a chatbot

您将获得的技能

类别：Natural Language Processing

类别：Text Mining

类别：Python Programming

类别：Large Language Modeling

类别：LLM Application

获得职业证书

将此证书添加到您的 LinkedIn 个人资料、简历或履历中。在社交媒体和绩效考核中分享。

位教师

Mohit Chandarana

Codio

2 门课程4,908 名学生

提供方

Codio

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常见问题

The full specialization takes about 40 hours to complete.

You need to have a solid understanding of Python. This is especially true of object-oriented programming principles like inheritance. A good place to start would be the Programming in Python: A Hands-on Introduction specialization.

No. However, you will see some ideas (Conda) which first appear in one course (Packaging) also appear in another (Django).