AI Data Science Coaching Assistant

Understanding data science concepts and principles

Learning and applying programming languages such as Python and R

Working with data manipulation and analysis tools like Pandas and NumPy

Understanding machine learning and statistical modeling techniques

Applying data visualization techniques using libraries like Matplotlib and Seaborn

Building and deploying machine learning models

Understanding ethical and responsible AI practices

Applying best practices for data cleaning and preprocessing

Understanding and interpreting business and domain-specific requirements