Python Programming and Data Science​

  • Step 1: Python Programming Basics
  • Understand variables, loops, functions, and data structures
  • Practice with problem-solving platforms (LeetCode, HackerRank)
  • Work on small projects (calculators, file managers)
  • Step 2: Data Handling in Python
  • Use Pandas and NumPy for data analysis
  • Load and process CSV/JSON files
  • Perform basic statistics and data cleaning
  • Step 3: Visualization and Libraries
  • Visualize data using Matplotlib and Seaborn
  • Work with APIs, web scraping (BeautifulSoup, requests)
  • Automate tasks and scripts with Python
  • Step 4: Real Data Science Projects
  • Build predictive models using scikit-learn
  • Perform EDA and document insights
  • Share projects on GitHub and Kaggle
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