Project-based program made up of data analysis assignments involving EDA, Data Wrangling, Statistical Modeling, Data Story Telling and A/B Tests using Python in Jupyter Notebooks, RStudio, SQL and Tableau.
Project-based program made up of data foundations assignments involving Survey Results Insight Gathering, Databases and Visualizations using Excel, SQL and Tableau.
Identify inequalities in academic achievement amongst 15-year-olds around the world who participated in the PISA 2012 survey.
Exploration of a dataset containing demographic information and other details of children born in the United States from 1978-1983. Observations are aggregated by parent income percentile rank, child race, gender and commuting zone.
Data gathering from a variety of sources in a variety of formats, assessment of its quality and tidiness, and cleaning of it. Wrangling showcased through analyses and visualizations.
Running an A/B test for an e-commerce website and working to understand if they should implement the new page, keep the old page, or maybe even run the experiment longer to make the decision.
Exploring and visualizing flight data for a number of US-based airlines in 2015 and look at delays and cancellations by airlines and airports.
Investigated GDP per Capita, Human Development Indices, Urban Population Percentage and Democracy Scores in 160 countries of the world across 40 years.
Using Python in Jupyter Notebooks to go through steps of the data analysis process on US bikesharing data, including data wrangling, exploration, and visualization.
Use SQL code to operate on a music database to identify patterns and insights to then highlight and visualize in a final report.