Coursera – Data-Oriented Python Programming and Debugging Specialization 2025-3

Data-Oriented Python Programming and Debugging Specialization is a data-oriented programming course in Python published by Coursera Online Academy. This course focuses on data-oriented programming in Python and equips learners with the skills to efficiently process, analyze, and debug data-driven applications. It covers key topics such as data structures, memory optimization, performance tuning, and working with large data sets using libraries such as NumPy and Pandas. Students will learn advanced debugging techniques, error handling, and profiling tools to optimize Python code.

The courses in this series explore how to write and debug code, as well as manipulate and analyze data using Python’s NumPy, Pandas, and SciPy libraries. You will rely on the OILER framework – Orient, Investigate, Locate, Experiment, and Reflect – to systematically approach debugging and ensure that your code is readable and repeatable, ensuring that you produce high-quality code across all your projects. The course also explores functional and object-oriented programming approaches to data processing, along with best practices for writing clean, maintainable, and scalable code. By the end, learners will have a deep understanding of debugging and performance improvement strategies for building robust and efficient Python applications.

What you will learn in Data-Oriented Python Programming and Debugging Specialization:

• Learn the skills you need from experts in academia and industry
• Proficient programming with common data structures like arrays and DataFrames using libraries like NumPy and Pandas
• Independent debugging and self-help skills in Python
• Master a topic or tool with hands-on projects
• Develop a deep understanding of key concepts
• And…

Course specifications

Publisher: Coursera
Instructors: Anthony Whyte, Paul Resnick and Elle O’Brien
Language: English
Level: Intermediate
Number of Lessons: 147
Duration: 18 hours and 20 minutes

Course topics

Data-Oriented Python Programming and Debugging Specialization Prerequisites

Learners should complete “Python 3 Programming” on Coursera or have equivalent experience with Python programming basics.

Pictures

Data-Oriented Python Programming and Debugging Specialization introduction video

Installation guide

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Quality: 720p

Download link

Download Part 1 – 2 GB

Download Part 2 – 2 GB

Download Part 3 – 2 GB

Download Part 4 – 473 MB

Size

6.4 GB