- Yes, the course covers popular Python libraries like Pandas, NumPy, and Matplotlib.
- Learners practice loading, cleaning, and analyzing data efficiently.
- Techniques include handling missing values, filtering data, and aggregating statistics.
- Hands-on exercises help develop practical skills for real-world datasets.
- Advanced data manipulation may require additional study.
