emmaolof Goto Github PK

airbnb-deep-dive

Explore business insights from Chicago, Istanbul Airbnb data

belly-button-biodiversity

covid_in_county_jobless-claims

d3-challenge

data

does-higher-median-income-mean-higher-test-scores-

Is there a correlation between higher median income and higher test scores in Indiana? Exploratory Data Analysis based on IRS Median Household Income and Indiana Department of Education Data Reports. It also included Data Wrangling and Data Cleaning. Tech Stats : Python, Jupyter Notebook, Pandas, Numpy, Matplotlib

emmaolof.github.io

employee-database-analysis-sql-python

CRUD analysis of a mock employee database Using PostgreSQL and SQLAlchemy, Numpy, Pandas, and Matplotlib in Jupyter Notebooks

etl_with_python

ETL with Python - Taught at DWH course 2017 (TAU)

gaming-sales-analysis

Analysis of in-game purchases made by players in the video game "Heroes of Pymoli." Key Tools: Python (pandas), Jupyter Notebook, groupby, data cleaning/munging

gaming-sales-analysis-1

Analysis of in-game purchases made by players in the video game "Heroes of Pymoli." Key Tools: Python (pandas), Jupyter Notebook, groupby, data cleaning/munging

javascript-challenge

matplotlib-the-power-of-plots

ms-excel-

Organize and analyze a database of 4,000 past projects in order to uncover any hidden trends.

nfl-draft-picks---etl

An ETL Project to retrieve NFL draft picks data from various websites, transformed in python and stored data in a MongoDB database. Key tools: Python, Beautiful Soup, Splinter/Selenium, MongoDB.

pidata

python-api-challenge

python-challenge

sqlalchemy

ucsd_data_science_and_engineering

In the Data Science and Engineering program, engineering professionals combine the skills of software programmer, database manager, and statistician to create mathematical models of the data, identify trends/deviations, then present them in effective visual ways that can be understood by others. Data scientists unlock new sources of economic value, provide fresh insights into science, and inform decision makers by analyzing large, diverse, complex, longitudinal, and distributed data sets generated from instruments, sensors, internet transactions, email, video, and other digital sources. Students entering the MAS program for a degree in Data Science and Engineering will undertake courses in programming, analysis, and applications management and visualization. This program requires three foundational courses, four core courses, and two electives totaling thirty-four units, plus a capstone team project course of four units, for a total of thirty-eight units.

visualizing-data-with-leaflet

web-scraping-challenge

webvisualizations