How to Ace Your First Hackathon–Tutorials in Python

Back in 2018, when I first learned about hackathons, I had never written a line of code in Python, let alone participated in coding events. While I was excited about solving data science problems, my lack of coding skills was a severe hindrance in achieving this feat. However, I was Continue reading How to Ace Your First Hackathon–Tutorials in Python

Quick Steps to Making a Resume in Tableau

Looking for resources to further my learning in how to display data using Tableau, I stumbled across an interactive resume concept. Creating a resume in Tableau is billed as a great way to showcase your Tableau skills and your experience. This medium allows for more creativity and freedom in how Continue reading Quick Steps to Making a Resume in Tableau

Twitter’s Role in Data Science

As data science enthusiasts, we hear about Twitter’s role in web scraping and sentiment analysis in various projects and research journals. Twitter gives us a constant influx of data on any topic imaginable, giving analysts a way to generate reports on how people feel about healthcare, the stock market, or Continue reading Twitter’s Role in Data Science

Learning SAS With Baseball Data, Where Process > Results

Last Monday marked the beginning of the “bootcamp” portion of the MSA program. Aside from two communications classes and preparing for a group presentation, the first week of bootcamp mainly consisted of learning and applying statistical concepts and the SAS programming language. As a member of the orange summer cohort, Continue reading Learning SAS With Baseball Data, Where Process > Results

How to Start Programming: Automating a Cover Letter

Solving the simple problems can be the most fun When starting my first job for Bloomberg LP in September 2015, I had to undergo 2 weeks of training on the Bloomberg Terminal, finance, and the internal systems of  the company. I learned about the people, the job and, most notably, Continue reading How to Start Programming: Automating a Cover Letter

Team of IAA Students Among Finalists at 2018 ASA Duke DataFest

The IAA team of Daniel Li, Veer Gupta, Idrees Hussain, Emily Hadley, and Matias Avila were among the 9 finalist teams in a field of over 80 teams at the 2018 Duke DataFest. We were commended for our presentation skills and analysis. The 2018 ASA Duke Datafest (https://www2.stat.duke.edu/datafest/) began on Continue reading Team of IAA Students Among Finalists at 2018 ASA Duke DataFest