Python for Data Science

Course Overview

• Course Title: Python for Data Science
• Instructor: Omar Koryakin
• Target Audience:
  • Beginners
  • Career switchers
  • Individuals interested in data science and Python
• Prerequisites:
  • No prior experience required
  • Willingness to learn
  • Access to a computer with internet
  • Optional: Basic familiarity with Excel, Python, or statistics

Curriculum Highlights

• Key Topics Covered:
  • Introduction to data science
  • Data science job roles and market
  • Python for data science
  • Data cleaning with Pandas
  • Data exploration with NumPy
  • Data visualization with Matplotlib
  • Basic machine learning models
  • Structuring data science projects
  • Presenting data insights
  • Career guidance in data science
• Key Skills Learned:
  • Understanding data science roles and responsibilities
  • Identifying real-world applications of data science
  • Building end-to-end data science projects
  • Using Python, Pandas, NumPy, and Matplotlib
  • Asking analytical questions
  • Presenting data insights
  • Preparing for data science jobs

Course Format

• Duration: 5.5 hours of on-demand video
• Format: Self-paced online course
• Resources:
  • 1 coding exercise
  • 17 downloadable resources
  • Access on mobile and TV
  • Closed captions
  • Audio description in existing audio
  • Certificate of completion