Data Science Career Q&A for Undergrads

#datascience #career #job Data Science Career Q&A for Undergrads with Mallory LaRusso 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! Keywords: data analytics, data science, programming, coding, workday, work culture, educational background   0:00 - Introduction 02:20 - Series overview 06:44 - Educational and career path 09:16 - Typical work day 17:00 - The importance of writing in data science 20:39 - Work culture 23:30 - Type of data you work with 26:00 - Mathematical vs Statistical Models 31:45 - The harder DS jobs are what’s left 32:35 - Favorite project as data scientist 36:00 - Work on a real problem  39:55 - Data scientists’ degrees 44:15 - Difference of data analytics and data science 54:13 - Favorite programming language 1:01:29 - How data science jobs will change 1:07:42 - Largest data set to have worked with 1:17:02 - Advice for students to prepare for data science roles 1:36:30 - What advantage does an undergraduate have? 1:40:22 - Wrap-up