Would you like to transition into the booming field of data science? But, every time you look there's a new technique to learn, a new MOOC to view, a new machine learning library to master, or even a new programming language to grok. You just read a data science job description that left you more confused than ever before—the job reads like a laundry list of buzzwords and statistical techniques that you're vaguely familiar with, and at worst have never heard of. You’re wondering who actually knows all this stuff and whether you “really” need to learn it all to get the job. You're obviously smart, you went to MIT after all, just how complicated does this need to be?!
What if you could cut through the buzzword hula-hoop-jumping, and rubbish, and simply ace the process of getting a data science job?
In this webinar, you will learn:
• What a data scientist does
• Key industry terms
• Your preferences in the field
• How to develop a job search action plan
• What hiring managers want
After this session, you will never again look at a data science job posting and wonder how to get that interview. You’ll be able to complete your career transition without sweating the small stuff and be happily using your brain to extract great insights and value from data.
Presented by: Sebastian Gutierrez, SB '03
For more information on MIT Alumni Association Career Lunch & Learns, visit [ Ссылка ]
