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 Specialization

Select Topics in Python Specialization

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

Instructors: Mohit Chandarana

Included with Coursera Plus

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4 course series

Get in-depth knowledge of a subject

4.4

(18 reviews)

Intermediate level

Recommended experience

4 weeks to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

4 course series

Get in-depth knowledge of a subject

4.4

(18 reviews)

Intermediate level

Recommended experience

4 weeks to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

What you'll learn

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

Skills you'll gain

Tools you'll learn

Details to know

Shareable certificate

Add to your LinkedIn profile

Taught in English

practice exercises

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Specialization - 4 course series

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.

Applied Learning Project

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

Course 17 hours

What you'll learn

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

Skills you'll gain

Package and Software Management, Python Programming, Virtual Environment, Development Environment, Platform As A Service (PaaS), Dependency Analysis, and Application Deployment

Select Topics in Python: Django

Course 27 hours

What you'll learn

Styling with Bootstrap
Django's MVT framework
Deploying Django

Skills you'll gain

Django (Web Framework), GitHub, Bootstrap (Front-End Framework), Version Control, PostgreSQL, Application Deployment, Model View Controller, Database Development, Object-Relational Mapping, Development Environment, Unit Testing, HTML and CSS, Virtual Environment, Python Programming, and Application Frameworks

Select Topics in Python: Matplotlib

Course 36 hours

What you'll learn

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

Skills you'll gain

Matplotlib, Box Plots, Scatter Plots, Histogram, Animations, Jupyter, Plot (Graphics), Data Visualization, Python Programming, Interactive Data Visualization, and Data Visualization Software

Select Topics in Python: Natural Language Processing

Course 46 hours

What you'll learn

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

Skills you'll gain

Natural Language Processing, Text Mining, Python Programming, LLM Application, and Large Language Modeling

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

Instructors

Mohit Chandarana

Codio

2 Courses4,917 learners

Offered by

Codio

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Frequently asked questions

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).

Select Topics in Python Specialization

What you'll learn

Skills you'll gain

Tools you'll learn

Details to know

See how employees at top companies are mastering in-demand skills

Advance your subject-matter expertise