Description
- Analyze public datasets to identify tourist trends over time in a location.
- Include insights like peak seasons, visitor demographics, and top attractions.
- Tech Stack: Python, Pandas, NumPy, Seaborn, Scikit-learn, Matplotlib.
What You Will Learn:
âś… Explore and analyze datasets to uncover key tourism trends and insights.
âś… Identify peak tourist seasons based on historical data and patterns.
âś… Analyze visitor demographics to understand traveler preferences and behaviors.
âś… Visualize data using Seaborn & Matplotlib for insightful charts and graphs.
âś… Perform data preprocessing with Pandas and NumPy for efficient analysis.
âś… Apply machine learning models using Scikit-learn to predict tourist trends.
Who Should Take This Course?
🔹 Aspiring data analysts looking to work with real-world tourism data.
🔹 Students and researchers interested in tourism trends and data-driven insights.
🔹 Business professionals seeking to leverage data for strategic tourism planning.
🔹 Python enthusiasts eager to apply NumPy, Pandas, and Seaborn in practical projects.
🔹 Anyone interested in data science and learning practical applications of Python, visualization, and machine learning.
