Python for Data Science: Numpy and Pandas Libraries for Data

Course Overview

• Course Title: Python for Data Science: Numpy and Pandas Libraries for Data
• Instructor: Temotec Learning Academy
• Target Audience:
  • Beginners in Python programming
  • Individuals interested in data science and data analysis
  • Professionals seeking to enhance their data manipulation skills
• Prerequisites:
  • Computer and internet
  • No prior programming experience needed

Curriculum Highlights

• Key Topics Covered:
  • Basics of Python programming
  • Installation and use of Python IDEs like IDLE and Anaconda
  • Python data types, operators, functions, modules, and file handling
  • Usage of Numpy and Pandas libraries for data manipulation and visualization
  • Advanced topics in data analysis and visualization
• Key Skills Learned:
  • Python programming fundamentals
  • Data manipulation with Numpy and Pandas
  • Data visualization techniques
  • Advanced data analysis

Course Format

• Duration: 7 hours on-demand video
• Format: Self-paced online course
• Resources:
  • 1 article
  • Access on mobile and TV
  • Certificate of completion

Special Offer (If Applicable)