Introduction to Python For Data Science

A beginner-friendly introduction to Python, focusing on core concepts for data analysis
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Learning Outcomes

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

  1. Write Python code for data work
  2. Use NumPy for numerical computing
  3. Manipulate and clean data with Pandas
  4. Scrape web data with BeautifulSoup
  5. Perform exploratory data analysis
  6. Visualize data with Matplotlib/Seaborn

Topics Covered

  • Python essentials for data work (4 hours)
  • NumPy for numerical computing (3 hours)
  • Pandas for data manipulation and cleaning (6 hours)
  • BeautifulSoup for web scraping (3 hours)
  • Data cleaning: handling missing values, duplicates, formatting (4 hours)
  • Exploratory data analysis with Pandas (3 hours)
  • Data visualization basics (Matplotlib/Seaborn) (2 hours)
  • Capstone Project: Complete data cleaning and analysis pipeline with real messy dataset