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Python Programming Fundamentals

Python Programming Fundamentals

Python for Data Analysts in 30 Days

Target Audience: Python for Data Analysts in 30 Days

Difficulty: Intermediate

Structure: 5 modules, 20 lessons

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Last Update 04/25/2026
Members 1
  • Introduction to Python for Data Analysis
    4Lessons ·
    • Python Basics
    • Control Structures in Python
    • Data Structures
    • Setting Up Python Environment
  • Data Manipulation with Pandas
    4Lessons ·
    • Introduction to Pandas
    • Data Cleaning with Pandas
    • Filtering and Selecting Data
    • Aggregation and Grouping in Pandas
  • Data Visualization with Matplotlib and Seaborn
    4Lessons ·
    • Introduction to Matplotlib
    • Customizing Plots
    • Advanced Visualization with Seaborn
    • Interpreting Visual Data
  • Statistical Analysis with NumPy
    4Lessons ·
    • Introduction to NumPy
    • Descriptive Statistics with NumPy
    • Inferential Statistics and Hypothesis Testing
    • Applying Statistical Methods
  • Capstone Project: Data Analysis Workflow
    4Lessons ·
    • Project Overview and Planning
    • Data Collection and Cleaning
    • Data Analysis and Visualization
    • Final Presentation of Findings