A data analyst, scientist, and engineer walk into a bar...w/ Danielle Oberdier

This is a podcast episode titled, A data analyst, scientist, and engineer walk into a bar...w/ Danielle Oberdier. The summary for this episode is: <p>Quick, what’s the difference between a data engineer and a data analyst? One preps the data, the other analyzes the data, right? A data scientist, meanwhile, analyzes more complex and disorganized data. The truth is all three of these roles perform overlapping functions leading to an incredible amount of confusion in the job market.</p> <p>Join Tim, Juan and special guest Danielle Oberdier, founder of DiKayo Data and host of the popular DataFemme podcast, to talk about the state of data jobs. How do we make sense of the roles that are out there today, who should companies be looking for in their hiring process, and what new and exciting data positions are starting to emerge?</p> <p>This episode will feature:</p> <ul> <li>Certifications that make you more marketable</li> <li>How to stand among your peers in a crowded job market</li> <li>What was the very first job you ever had?</li> </ul>