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