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