Python Numpy Data Analysis for Data Scientist | AI | ML | DL

Course Overview

• Course Title: Python Numpy Data Analysis for Data Scientist | AI | ML | DL
• Instructor: Faisal Zamir
• Target Audience: Data Scientists, AI, ML, DL professionals, and beginners with basic Python knowledge
• Prerequisites: Beginner-level experience with Python programming

Curriculum Highlights

• Key Topics Covered:
  • Introduction to Numpy
  • Creating and accessing arrays
  • Indexing and slicing
  • Array dimensions and ndarray object
  • Data types and conversion
  • Array attributes and creation
  • Broadcasting and iteration
  • Array manipulation and operations
  • Statistical functions and counting
  • Sorting and copying
• Key Skills Learned:
  • Data analysis using Python Numpy
  • Array creation and manipulation
  • Data type conversion and attributes
  • Broadcasting and iteration
  • Statistical functions and counting
  • Sorting and copying arrays

Course Format

• Duration: 7.5 hours of on-demand video
• Format: Self-paced online course
• Resources:
  • 1 practice test
  • Assignments
  • 3 articles
  • 10 downloadable resources
  • Access on mobile and TV
  • Certificate of completion

Additional Information

• Course Details: The course covers various topics in Python Numpy for data analysis, including array creation, manipulation, and operations.