Last module of the IBM data science course on coursera. An analysis on a Space X data set is carried out, in an attempt to model and predict the successful landing of the first stage. If the latter lands succesfully, it can be reused. This is the principal reason why Space X launches are far cheaper than those offered by other companies. If one could increase the number of succesful landings, this would have an immediate and direct economical impact.
Requests via SpaceX API and data cleaning:
Data collection via webscraping with BeautifulSoup
Geospatial data visualziation
[Folium](Visual Analytics with Folium.ipynb)
[EDA with SQL](EDA with SQL.ipynb)
[EDA with Data Visualization](EDA with DATA Visualization.ipynb)
The results of the analysis carreid out in the different notebooks is reported in a presentation.
Please Note: precise instructions on how to assemble the presentation were given. This is not necessarily how I would report this DATA