Extracting and Visualizing Stock Data using Javascript and Python

This is a capstone project for IBM Datascience Professional Certificate. I collected data through SpaceX API and Webscrapping using Wikipedia and performed Data Wrangling. I also performed Exploratory Data Analysis using visualization and SQL. Then performed interactive visual analytics using Folium and Plotly Dash. Also performed predictive analysis using classification models.

Used stock market KPIs to determine whether the tech sector of the stock market was in a bubble. Displayed a working knowledge of Data ETL, Visualization, API frameworks, and statistical methods in Python to develop visualizations and implement analyses. Cleaned historical data for over 600 companies (in NASDAQ and S&P 500), accessing JSON endpoints for each company using (Python) Panda.