Python Data Analysis

Course Description:
This hands-on micro-course teaches learners how to use Python for analyzing, visualizing, and interpreting data. Through concise lessons, learners will explore essential Python libraries, real-world datasets, and practical techniques for drawing insights.

Prerequisites:

• Completion of “Intro to Python Programming” (recommended)
• Basic familiarity with Python syntax and Jupyter Notebooks
• No prior data analysis experience required

Course Objectives:

By the end of this course, learners will be able to:

• Work with data using Pandas and NumPy
• Clean, sort, and filter datasets efficiently
• Generate visualizations with Matplotlib and Seaborn
• Perform basic descriptive statistics and trend analysis
• Draw conclusions and present data insights clearly