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A collaborative project for MSU's Data Visualization Bootcamp. Using the Census API, this project seeks to use census data to analyze changes in three MI counties (Kent, Oakland, and Saginaw) to determine risk of gentrification. Using the technologies noted in the topics area to analyze the data, create visualizations, and tell the data story.
markers-of-gentrification-project-1's Introduction
Certified Data Analyst with a background in Human Resources.
Programming Languages & Tools: SQL/NoSQL, R, Python (Pandas, NumPy, Flask), ETL, Tableau, Power BI Visualization, D3.js, Plotly, Matplotlib, Machine Learning – Supervised, Unsupervised, Neural Network Creation and management of Docker containers, Warehousing, Probability, Statistics.
Databases: MongoDB, PostgreSQL, SQLAlchemy, SQL Server, AWS, Azure Databricks, Data Factory.
Machine Learning Language Processing: Scikit-learn, PyTorch, Keras ,TensorFlow
Big Data Analytics: PySpark, AWS, S3, Hadoop
Statistics Modeling & Forecasting
Python Programming: Python, Pandas, NumPy , Matplotlib, Seaborn, Flask, API, Interactions, Social, Media Mining
Front-End Web Visualizations: HTML, CSS, Bootstrap, Dashboarding, JavaScript, Charting D3.js, Plotly, Geomapping, with Leaflet.js
Business Intelligence Software: Tableau Dashboard Creation & Geo Mapping
markers-of-gentrification-project-1's People
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