Duke University
Python Programming Fundamentals
Duke University

Python Programming Fundamentals

Taught in English

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14,389 already enrolled


Gain insight into a topic and learn the fundamentals

Andrew D. Hilton
Nick Eubank
Genevieve M. Lipp

Instructors: Andrew D. Hilton


(23 reviews)

Beginner level

Recommended experience

23 hours to complete
3 weeks at 7 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Utilize a Logical Seven Step framework to create algorithms and programs

  • Create useful test cases and efficiently debug Python code.

  • Master Python basics (conditionals, loops, mathematical operators, data types)

  • Develop a Python Program from scratch to solve a given data science problem.

Details to know

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There are 4 modules in this course

This module, you will learn best practices for developing code in any language by beginning with an algorithm: a stepwise approach to solving a problem. You’ll then apply the concepts by developing your own algorithms and properly identifying when to use specific data types in Python.

What's included

9 videos9 readings3 quizzes

This Module, you will learn how to take the logical process of algorithm design and translate an algorithm into functional Python code. You will apply this by correctly identifying proper Python syntax for a given algorithm, and then subsequently by creating your own Python program for a given algorithm.

What's included

13 videos8 readings5 quizzes4 programming assignments

This module, you will learn different approaches to testing Python code, and methods for debugging code. You will apply this by conducting a code review, identifying opportunities to use asserts to debug code, and generating your own test cases.

What's included

6 videos8 readings3 quizzes

This module, you will learn how to filter and perform operations (logical and mathematical) across a given dataset, and how to create modular code that can be used in discrete pieces. You will apply this by writing your own functions to identify a list item with a given property, and writing a program to calculate a set of conclusions from a given dataset.

What's included

7 videos3 readings1 quiz4 programming assignments2 discussion prompts


Instructor ratings
3.6 (9 ratings)
Andrew D. Hilton
Duke University
17 Courses1,047,503 learners

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Duke University

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Reviewed on Oct 10, 2023

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