Category Archives: Resources

Mastering the Job Interview Process: A Guide for Data Science and Analytics Students 

Posted on by
screen shot of interview app

The most nerve-racking part of securing a job offer is the job interview process. After spending an entire year mastering technical concepts, building projects, and gaining hands-on experience, it all culminates in the crucial moments sitting across from potential employers. Whether you are applying for full-time roles or rotational programs, Continue reading Mastering the Job Interview Process: A Guide for Data Science and Analytics Students →

AI and Data Analytics in Criminal Justice: Opportunities and Challenges

Posted on by

In recent years, the rise of big data and AI has reshaped many fields, including criminal justice. These technologies create new possibilities, such as more accurate forensic analysis and data-driven risk assessments. They also bring risks, such as reinforcing existing biases, potentially infringing upon civil rights, and raising concerns about Continue reading AI and Data Analytics in Criminal Justice: Opportunities and Challenges→

From Data to Decisions: How the Intelligence Cycle Enhances Data Science

Posted on by
decorative: intelligence cycle

In data science, the real value data scientists provide is not in the complex code and algorithms themselves, but in the insights these methods uncover. It can be challenging, however, to ensure those insights are valuable, particularly when dealing with broad objectives and diverse audiences. This is where I have Continue reading From Data to Decisions: How the Intelligence Cycle Enhances Data Science→

Color Me … Confused.

Posted on by
block of colors showing gradient and discrete colors

Would you believe me if I told you that some people can’t tell these images apart? It’s me. I’m one of those people. I can tell that the tritanopic image is quite different, and the protanopic image’s top light looks weird, but the normal and deuteranopic images look very similar Continue reading Color Me … Confused.→