Python for Data Science: Python Programming & Data Analysis

Course Overview

• Course Title: Python for Data Science: Python Programming & Data Analysis
• Instructor: Start-Tech Trainings
• Target Audience:
  • Aspiring data scientists
  • Individuals aiming to enhance data analysis skills
  • Those overwhelmed by data, seeking to turn it into actionable insights
• Prerequisites:
  • No prior experience in Python or data analysis required
  • Basic computer skills
  • Access to a computer with an internet connection

Curriculum Highlights

• Key Topics Covered:
  • Python syntax, script writing, and fundamental programming concepts
  • Using lists, dictionaries, tuples, and sets in Python
  • Conditional statements and loops in Python
  • Designing reusable Python functions
  • Reading from and writing to files in Python
  • Using NumPy arrays for complex mathematical computations
  • Using Pandas for data manipulation and analysis
  • Creating data visualizations with Matplotlib and Seaborn
• Key Skills Learned:
  • Effective data organization and management
  • Automating and optimizing data processing tasks
  • Performing repetitive tasks efficiently with reusable functions
  • Handling large datasets with high performance
  • Exploring, cleaning, and transforming data
  • Creating insightful visual representations of data

Course Format

• Duration:
  • 6 hours on-demand video
• Format:
  • Self-paced online course
• Resources:
  • 17 coding exercises
  • Assignments
  • 4 articles
  • 1 downloadable resource
  • Access on mobile and TV
  • Certificate of completion