Predict Landing outcome of SpaceX F9 rockets (First-stage) using Python, SQL, and Data Visualization.
Dashboard
- Created interactive dashboards with Python Dash
Data Collection
- Prepated Dataset from SpaceX API using REST & BeautifulSoup
EDA Python
- Performed visual analysis using Python (Matplotlib & Seaborn)
EDA SQL
- Queried dataset using SQL to extract insights
Folium
- Interactive visual analytics using Folium Map
Models
- Predictive Analysis using Classification Models
Note
This Data Analysis project was developed while pursuing the IBM Data Science Professional certification in Coursera.