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

Learn more

4 course series

Get in-depth knowledge of a subject

4.4

(18 reviews)

Intermediate level

Recommended experience

1 month at 10 hours a week

Flexible schedule

Earn a career credential

Share your expertise with employers

4 course series

Get in-depth knowledge of a subject

4.4

(18 reviews)

Intermediate level

Recommended experience

1 month at 10 hours a week

Flexible schedule

Earn a career credential

Share your expertise with employers

What you'll learn

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

Overview

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.

What’s included

Shareable certificate

Add to your LinkedIn profile

Taught in English

practice exercises

Advance your subject-matter expertise

Learn in-demand skills from university and industry experts
Master a subject or tool with hands-on projects
Develop a deep understanding of key concepts
Earn a career certificate from Codio

Specialization - 4 course series

Select Topics in Python: Packaging

Course 17 hours4.6 (10 ratings)View course

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

Select Topics in Python: Django

Course 27 hoursView course

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, Application Frameworks, Object-Relational Mapping, Python Programming, Development Environment, Database Development, Model View Controller, Unit Testing, Virtual Environment, and HTML and CSS

Select Topics in Python: Matplotlib

Course 36 hours3.3 (11 ratings)View course

What you'll learn

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

Skills you'll gain

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

Select Topics in Python: Natural Language Processing

Course 46 hoursView course

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, Python Programming, Text Mining, 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 Courses4,922 learners

Patrick Ester

Codio

30 Courses103,095 learners

Kevin Noelsaint

Codio

11 Courses43,998 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

Overview

Skills you'll gain

Tools you'll learn

What’s included

Advance your subject-matter expertise