Python for Data Science

Description

• Description: Dive into Python’s most popular libraries for data science: Pandas, NumPy, Matplotlib, and Scikit-learn. Learn how to manipulate data, create visualizations, and build machine learning models.
• Format: Video lessons, code samples, quizzes, and hands-on projects
• Duration: 8 hours of video content, 4 hours of coding exercises
• Level: Intermediate
• Modules:
  • Introduction to Data Science with Python
  • Data Manipulation with Pandas
  • Numerical Computation with NumPy
  • Data Visualization with Matplotlib
  • Introduction to Machine Learning with Scikit-learn
  • Working with Datasets and Real-World Projects
• Features:
  • Real-world data projects (e.g., analysis of COVID-19 data)
  • In-depth tutorials with Jupyter notebooks
  • Quizzes to test concepts
  • Certificate of completion