Python Big Data Tutor for HackerU

Achivements

• Tutored a course on Python for Big Data Analysis
• Created a 20 weeks course program and held class room studies
• Assigned and checked a homework exercises

About course on Python for Big Data Analysis

The course emphasizes practical Python data analysis skills with a focus on NumPy, visualization, regex, databases, and BigQuery integration—perfect foundation for your data engineering work!

Here’s a markdown list of topics covered in the Python for Big Data Analysis course:

• NumPy Fundamentals
  • Basics of NumPy arrays
  • NumPy exercises and operations
• Data Visualization
  • Seaborn for exploratory data analysis
  • Football analytics with Seaborn
  • London air quality data analysis (london_merged.csv)
• Telecom Churn Analysis
  • Exploratory data analysis (EDA) of telecom customer churn
  • Data visualization and insights
• Regular Expressions (Regex)
  • Python regex fundamentals
  • Spam corpus analysis
  • Regex homework exercises
• Web Scraping and Parsing
  • Web parser implementation
  • Leroy Merlin parser data analysis (Russian retail data)
• Database Integration
  • SQLite with Pandas and Seaborn
  • Database API connectivity (hackeru-database-db-api.ipynb)
  • Google BigQuery tutorial
• Version Control
  • Git practice exercises
• Python Scripting
  • Quote processing scripts (quites1.py through quites6.py)
• Big Data Tools
  • Introduction to Google BigQuery for large-scale analysis