Data Science

Data Processing Using Python

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Coursera

This course offers a structured Python introduction for individuals who are not majoring in computer science. The course concentrates on data analysis and visualization, with practical, cross-disciplinary applications.

Key AI Functions:python programming, numpy, pandas, wxpython, data science

Description for Data Processing Using Python

  • Comprehensive Python Basics: Delves into the fundamentals of Python syntax, progressing from data acquisition to presentation. This course is appropriate for individuals who are not majoring in computer science.

  • Focus on Statistical Analysis and Visualization: Enables practical insights by incorporating both fundamental and advanced statistical techniques and data visualization methods.

  • Cross-Disciplinary Applications: Demonstrates the relevance of Python's data processing capabilities in a diverse array of disciplines, including the humanities, social sciences, science, and engineering.

  • Updated for Modern Compatibility: The course now incorporates Python 3.x, webpage retrieval, parsing, and Web API usage, as well as enhanced project details and improved content flow.

Level: Beginner

Certification Degree: Yes

Languages the Course is Available: 1

Offered by: On Coursera provided by Nanjing University

Duration: 29 hours (approximately)

Schedule: Flexible

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