DataScience

Hands-on Learning for Data Science:

• Data collection methodology:

• Perform data wrangling

• Perform exploratory data analysis (EDA) using visualization and SQL

• Perform interactive visual analytics using Folium and Plotly Dash

• Perform predictive analysis using classification models

Name		Name	Last commit message	Last commit date
README.md		README.md
SpaceX_Machine Learning Prediction_Part_5.ipynb		SpaceX_Machine Learning Prediction_Part_5.ipynb
edadataviz.ipynb		edadataviz.ipynb
jupyter-labs-eda-sql-coursera_sqllite.ipynb		jupyter-labs-eda-sql-coursera_sqllite.ipynb
jupyter-labs-spacex-data-collection-api_final.ipynb		jupyter-labs-spacex-data-collection-api_final.ipynb
jupyter-labs-webscraping.ipynb		jupyter-labs-webscraping.ipynb
lab_jupyter_launch_site_location.ipynb		lab_jupyter_launch_site_location.ipynb
labs-jupyter-spacex-Data wrangling.ipynb		labs-jupyter-spacex-Data wrangling.ipynb
omersubasi-ds-capstone-coursera.pdf		omersubasi-ds-capstone-coursera.pdf
spacex-dash-app.py		spacex-dash-app.py

Navigation Menu