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Coursera - Data-Oriented Python Programming and Debugging Specialization - Printable Version +- Softwarez.Info - Software's World! (https://softwarez.info) +-- Forum: Library Zone (https://softwarez.info/Forum-Library-Zone) +--- Forum: Video Tutorials (https://softwarez.info/Forum-Video-Tutorials) +--- Thread: Coursera - Data-Oriented Python Programming and Debugging Specialization (/Thread-Coursera-Data-Oriented-Python-Programming-and-Debugging-Specialization)

Coursera - Data-Oriented Python Programming and Debugging Specialization - OneDDL - 03-13-2025 Free Download Coursera - Data-Oriented Python Programming and Debugging Specialization Released 3/2025 By Anthony Whyte, Paul Resnick, Elle O'Brien - University of Michigan MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English + subtitle | Duration: 147 Lessons ( 18h 20m ) | Size: 7 GB Write and systematically debug Python code. . Learn to develop readable and reproducible code in Python while investigating, manipulating, and analyzing real-world data using Python libraries. What you'll learn Effective use of modules, functions, and object methods in data-driven computing. Competent independent debugging and self-help skills in Python. Proficient programming with common data structures such as arrays and DataFrames using libraries like NumPy and pandas. Skills you'll gain Statistics Python (Programming Language) SciPy Debugging NumPy Data Analysis Critical Thinking Pandas (Python Package) Data Manipulation In "Data-Oriented Python Programming and Debugging," you will develop Python debugging skills and learn best practices, helping you become a better data-oriented programmer. Courses in the series will explore how to write and debug code, as well as manipulate and analyze data using Python's NumPy, pandas, and SciPy libraries. You'll rely on the OILER framework - Orient, Investigate, Locate, Experiment, and Reflect - to systematically approach debugging and ensure your code is readable and reproducible, ensuring you produce high-quality code in all of your projects. The series concludes with a capstone project, where you'll use these skills to debug and analyze a real-world data set, showcasing your skills in data manipulation, statistical analysis, and scientific computing. Applied Learning Project Perform Python debugging assignments on real data sets using Jupyter notebooks. Build your skills through debugging challenges and practice labs, using data sets from sports, weather, movies, and more. Complete a capstone project showcasing your skills as a data-oriented debugger using a transportation data set. Homepage: [To see links please register or login] Recommend Download Link Hight Speed | Please Say Thanks Keep Topic Live [To see links please register or login] No Password - Links are Interchangeable