Analyse de Données avec Python: Numpy, Pandas et Matplotlib

Course Overview

• Course Title: Analyse de Données avec Python: Numpy, Pandas et Matplotlib
• Instructor: Lucie G.
• Target Audience:
  • Beginners to advanced Python learners
  • Data scientists
  • Anyone interested in data analysis and visualization
• Prerequisites:
  • Basic knowledge of Python is beneficial but not required

Curriculum Highlights

• Key Topics Covered:
  • Utilizing scientific libraries in Python (NumPy, Pandas, Matplotlib)
  • Performing statistical analysis with NumPy
  • Data manipulation with Pandas
  • Creating and analyzing plots with Matplotlib
  • Handling real-world data
  • Mastering NumPy arrays
  • DataFrame exploration and manipulation with Pandas
  • Reindexing DataFrames
• Key Skills Learned:
  • Statistical analysis with NumPy
  • Data transformation and normalization with Pandas
  • Plotting and data visualization with Matplotlib
  • Real-world data analysis
  • Efficient use of NumPy arrays
  • DataFrame manipulation techniques

Course Format

• Duration: 2.5 hours on-demand video
• Format: Self-paced online course
• Resources:
  • 20 articles
  • 30 downloadable resources
  • Access on mobile and TV
  • Certificate of completion