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Intermediate Python

Python is a general-purpose coding language with applications in web development, data science, machine learning, fintech, and more. The Intermediate Python Nanodegree program equips you to leverage the capabilities of Python and streamline the functionality of applications that perform complex tasks, such as classifying files, data mining a webpage, etc. By the end of the program, you’ll have a portfolio that demonstrates your ability to apply practitioner-level Python skills on the job.

  • Nanodegree Program
  • Intermediate
  • 35 hours
  • 4.4 (118)
  • Updated: Feb 23, 2026

Subscription · Monthly

  • Cancel Anytime
  • Unlimited access to hundreds of top-rated courses
  • Hands-on projects with expert feedback
  • Personalized career coaching and interview prep
  • Program Certificates

Skills you'll learn

37 skills

  • File i/o
  • Functional programming concepts
  • Python data structures
  • Python library fluency
  • Object-oriented Python

Prerequisites

2 prerequisites

Prior to enrolling, you should have the following knowledge:

  • Basic Python
  • Control flow

You will also need to be able to communicate fluently and professionally in written and spoken English.

Program Outline

  • 4 courses
  • 16 lessons
  • 2 projects

Skills that demand high salaries

The Bureau of Labor Statistics estimates a 36% job growth rate for data scientists; a 21% growth rate for computer and information research scientists; and a 25% growth rate for software developers.*

Python Developer

Salary info from Talent.com
  • Low

    $106,845
  • Average

    $125,571
  • High

    $159,900

Program Instructors

2 instructors

Unlike typical professors, our instructors come from Fortune 500 and Global 2000 companies and have demonstrated leadership and expertise in their professions:

Sam Redmond

Co-founder, Hedron Vision

Gabriel Ruttner

Instructor

Sam Redmond

Co-founder, Hedron Vision

Gabriel Ruttner

Instructor

Reviews

Average Rating: 4.4 (118 Reviews)

A complete and comprehensive intro to ML

Iraklis K

Mar 8, 2026

The course is "ML with Pytorch" implying there would be algorithms implementing in supervised and unsupervised ML models as well a neural network using Pytorch, which could be interesting.. But it just rehashes material using scikit-learn from other nanodegrees. And even the course on neural networks is material all cribbed from the "AI programming with Python" nanodegree. Just a way to recombine existing material to sell another product.

Karen F

Jan 12, 2026

everything were explained very well

abdulrahman a.

Jul 19, 2022

Decent.

Omer A.

Apr 27, 2022

Good , yes Definitely but would need more time to understand the concepts in details. Because we are learning a lot of concepts

Narendhra Kumar M.

Mar 11, 2022

Subscription · Monthly

  • Cancel Anytime
  • Unlimited access to hundreds of top-rated courses
  • Hands-on projects with expert feedback
  • Personalized career coaching and interview prep
  • Program Certificates

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