amazon_vine_analysis

Analyzed 50 datasets of Amazon reviews written by members of the paid Amazon Vine program. Implemented ETL using Amazon Web Services, PySpark and Postgres SQL.

bikesharing

Exploring Bike-Sharing Data with Tableau. Create Worksheets, dashboards, and stories from New York City bike-sharing data.

credit_risk_analysis

We'll use Python to build and evaluate several machine learning models to predict credit risk. Being able to predict credit risk with machine learning algorithms can help banks and financial institutions predict anomalies, reduce risk cases, monitor portfolios, and provide recommendations on what to do in cases of fraud.

cryptocurrencies

Use unsupervised Machine Learning techniques to analyze cryptocurrency data

douguot

douguot.plotly.io

Plotly Project page on GitHub for deployment

election_analysis

Automating the results of an election using Python and Visual Studio Code

group_3_final_project

Group 3 Final Project - Data Science Bootcamp

kickstarter-analysis

Performing analysis on Kickstarter data to uncover trends on Excel.

mapping_earthquakes

Use JavaScript's Leaflet library along with the Mapbox API to create visualizations of earthquake data form the U.S. Geological Survey

mechacar_statistical_analysis

Learn how to use R and statistics in order to analyze vehicle data

mission-to-mars

Build an app to scrape websites for data pertaining to the Mission to Mars, and then create an HTML page to display the findings

movies-etl

ETL (Extract, transform and load) is a essential process for a Data Analysis. In this project we will Create an ETL pipeline from raw data to a SQL database, extract data from disparate sources using Python and then clean and transform data using Pandas and load data with PostgreSQL

neural_network_charity_analysis

Create a deep-learning neural network to analyze and classify the success of charitable donations.

pewlett-hackard-analysis

Data Analysis using SQL, Data modelling and Data engineering

pewlett-hackard-analysis2

Initial SQL exploration

plotly

Build an interactive dashboard using Plotly.js to explore data on the biodiversity of belly buttons and then deploy the dashboard to a cloud server

pyber_analysis

Creating visualizations of rideshare data for PyBer to help improve access to ride-sharing services and determine affordability for underserved neighborhoods.

school_district_analysis

Using Pandas and Jupyter Notebook

sql_pewletthackardanalysis

stock-analysis

Stock-Analysis using VBA

surfs_up

Using SQLite, SQAlchemy, Python in a Jupyter Notebook and Design a Flask application using data.

ufos

Use JavaScript, HTML, and CSS to create a custom webpage that showcases different UFO sightings around the world

world_weather_analysis

Using Jupyter Notebook, Pandas Library, CityPy, Python, APIs and JSON Traversals, to get more than 500 random latitudes and longitudes and analyze weather data