Data Science Career Q&A for Undergrads

<p>#datascience #career #job</p> <p>Data Science Career Q&A for Undergrads with Mallory LaRusso </p> <p>We continue to answer data science career questions. We've heard back from a lot of different groups about the world of data science. In this episode, we're talking about undergraduate DS job prospects. Mallory LaRusso is a senior at NCSU finishing her BS in Statistics, and Minor in Genetics. Watch/Listen as Glen and Richard answer questions from our guest Malory as she tries to understand ways of how to properly transition from being an undergrad student to becoming a data scientist. From questions about data scientists’ typical workday to their most challenging projects to date, we’ve got it all covered in this episode!</p> <p>Keywords: data analytics, data science, programming, coding, workday, work culture, educational background</p> <p> </p> <p>0:00 - Introduction</p> <p>02:20 - Series overview</p> <p>06:44 - Educational and career path</p> <p>09:16 - Typical work day</p> <p>17:00 - The importance of writing in data science</p> <p>20:39 - Work culture</p> <p>23:30 - Type of data you work with</p> <p>26:00 - Mathematical vs Statistical Models</p> <p>31:45 - The harder DS jobs are what’s left</p> <p>32:35 - Favorite project as data scientist</p> <p>36:00 - Work on a real problem </p> <p>39:55 - Data scientists’ degrees</p> <p>44:15 - Difference of data analytics and data science</p> <p>54:13 - Favorite programming language</p> <p>1:01:29 - How data science jobs will change</p> <p>1:07:42 - Largest data set to have worked with</p> <p>1:17:02 - Advice for students to prepare for data science roles</p> <p>1:36:30 - What advantage does an undergraduate have?</p> <p>1:40:22 - Wrap-up</p>