- Provides foundational exposure to tools commonly used by data scientists.
- Learners gain skills applicable to data wrangling, visualization, and analysis tasks.
- Completing the course strengthens resumes and portfolios for entry-level positions.
- Knowledge of tools helps in pursuing further specialized courses in data science.
- Hands-on practice prepares learners for internships or practical projects.
