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Programming for Python Data Science: Principles to Practice

Accelerate your journey as a data scientist with this data science specialization in Python. Designed for data science beginners, this course series helps you develop the skills necessary to effectively manage, analyze, and communicate insights about data with Python. Whether you're a professional looking to add Python to your data science toolkit or a complete novice, this series offers hands-on practice and frameworks to navigate a full data science pipeline. Across five courses, you’ll develop competency with foundational computer science concepts: algorithm development, data structures, and using the industry-standard text editor for Python, VS Code. You’ll get in-depth experience and create your programs with essential Python libraries for data science — NumPy, Pandas, and Matplotlib. These learning experiences focus on guided, stepwise development of these programs, with live-coding experiences designed to share insights from four experienced data scientists as they navigate these same problems. In the final two courses, you'll focus on modeling, prediction, and visualization, laying the groundwork for exploring advanced topics like machine learning and inferential statistics. By the end of the series, you'll confidently clean and analyze data, uncover compelling insights, and create programs and visualizations for your data science portfolio. Earning your certificate will demonstrate your ability to generate impactful insights from raw data in a data-driven world.

Status: Data Visualization
Status: Data Manipulation
BeginnerSpecialization

Top reviews across Programming for Python Data Science: Principles to Practice

BK

Reviewed Dec 9, 2025

Exactly what I was looking for, with good exercises, mostly useful feedback from AI evaluations.

NR

Reviewed Aug 16, 2025

The course was really very interesting and Was very Useful and The concepts was clear with Implementation

JI

Reviewed Nov 26, 2025

I really like the content of this course. It covered all the basics for Data Science and I think it set me up to be able to apply it to my workday.

PG

Reviewed Jul 24, 2026

Good class. Made me stretch to figure things out. I with the projects had a way of giving more help during the process but I figured it out. Thanks Duke!

AM

Reviewed Aug 20, 2026

The assignments in this course provided the chance to work on real-world data, which is what I liked the most. This course is absolutely worthy

UM

Reviewed Jan 25, 2025

I really liked the step by step approach described in this course to solve a problem.

CM

Reviewed Aug 13, 2025

Good course for beginners. A little more explanation and help with the assignments would be nice

SC

Reviewed Nov 22, 2025

Very thorough course and is still provides challenge as a beginner course.

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