Data Analysis With Python

Coursera MOOC / Non-credit USD 49
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Data Analysis With Python

About this course

Python is a core skill for anyone working with data—and this course shows you exactly how to use it in practice. Through real-world examples, you’ll build an end-to-end data analysis workflow using four of Python’s most powerful libraries: NumPy, Pandas, Matplotlib, and Seaborn. You’ll start by loading and cleaning messy datasets, then move into common statistical analysis and transformation techniques. Finally, you’ll bring your insights to life with clear, compelling visualizations. Whether you’re just getting started in data or want to reinforce your Python fundamentals, this course will give you the tools and confidence to turn raw data into impactful results.

What you'll learn

  • loading and cleaning datasets
  • performing statistical analysis
  • using NumPy and Pandas
  • creating visualizations with Matplotlib and Seaborn

Course objectives

  • build an end-to-end data analysis workflow
  • develop proficiency in Python's data analysis libraries
  • transform raw data into clear insights

Skills you'll gain

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