
Project Planning: Detailed discussion on planning a data science project, including methodology, tools, and resources.
Data Analysis and Insights: Review and provide feedback on existing data analysis work, suggest improvements, or guide on how to derive insights from data.
Mentorship Session: In-depth guidance and mentorship on data science concepts, practical applications, and career development.
Technical Problem-Solving: Help solve specific technical issues related to data science, such as coding problems, algorithm implementation, or statistical analysis.