Python Programming Fundamentals

About This Course

This introductory course is designed for beginners and individuals with limited programming experience who want to embark on their software development or data science journey using 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.

Course Link: Python Programming Fundamentals

Course Learn Path

The courses enlisted as follows:

• [] C1-Python Programming Fundamentals

Course Description: 1 Course

Sponsor University : Duke University

Main Instructor:

1. Andrew D. Hilton
2. Nick Eubank
3. Genevieve M. Lipp
4. Kyle Bradbury

By the end of this course, you will learn to:

• Gain a stepwise approach to problem-solving using algorithms and programming logic.
• Apply common functions, conditional statements, and loops to build Python scripts and programs.
• Work with the VS Code programming environment to enhance coding proficiency.
• Use testing and debugging strategies to ensure code reliability.
• Perform logical and mathematical operations on datasets.

In the final week of the course you will apply your new algorithm design and programming skills to a data analysis problem: analyzing heart rate data.

Applied Learning Project

Tools: Jupyter / JupyterLab, GitHub,

Libraries: Pandas, NumPy

Projects: Python Programming Fundamentals

Useful Resources

• Course Link

Course Certificate

Total Hours: ~23 Hrs

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