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