Python for Data analysis

Course Overview

• Course Title: Python for Data Analysis
• Instructor: Tayzer, MTF Institute of Management, Technology and Finance
• Target Audience:
  • Aspiring data analysts
  • Students
  • Researchers
  • Professionals looking to add data skills
• Prerequisites:
  • No prior data analysis experience required
  • Basic familiarity with Python is helpful but not strictly required
  • A computer with internet access to install Python and necessary libraries

Curriculum Highlights

• Key Topics Covered:
  • Python environment setup and basics recap
  • Data manipulation with Pandas
  • Statistical analysis
  • Data integration techniques
  • Time series data handling
  • Data visualization
  • Hands-on practice exercises
• Key Skills Learned:
  • Analyze and interpret data using Python and Pandas
  • Clean and prepare data
  • Perform statistical analysis using Python
  • Manipulate and transform datasets using Pandas
  • Create compelling data visualizations

Course Format

• Duration: 4.5 hours on-demand video
• Format: Self-paced online course
• Resources:
  • 1 article
  • 1 downloadable resource
  • Access on mobile and TV
  • Certificate of completion

Additional Information

• N/A