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Python Programming Fundamentals

Course Cover

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Course Features

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Duration

23 hours

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Mobile, Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Beginner

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Teaching Type

Self Paced

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Video Content

23 hours

Course Description

This course is intended for those who are new to programming or have little programming experience that want to begin their own software development or data science adventure with Python. Throughout the course, learners will gain a solid understanding of algorithmic thinking, Python syntax, code testing, debugging techniques, and modular code development--essential skills for a successful career in software engineering, development, or data science. At the end of this course, you'll be able to: - Take an understanding of how to solve problems by using programming logic and algorithms. Utilize commonly used functions, conditional statements and loops to create Python programs and scripts. Utilize using the VS Code programming environment to improve your coding skills. Utilize methods for testing and debugging to ensure the reliability of code. Perform mathematical and logical operations on data. In the last week of the course, you will apply your newly learned algorithms and programming abilities to solve a data analysis issue such as analysing the heart-rate data.

Course Overview

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International Faculty

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Post Course Interactions

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Instructor-Moderated Discussions

Skills You Will Gain

Prerequisites/Requirements

No prerequisites required

What You Will 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

Course Instructors

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Andrew D. Hilton

Instructor

Associate Professor of the Practice
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Nick Eubank

Instructor

Assistant Research Professor
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Genevieve M. Lipp

Instructor

Assistant Professor of the Practice
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Kyle Bradbury

Instructor

Assistant Research Professor
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