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    How to Explain in Data Science Interviews (Interview preparation)

    en-usFebruary 17, 2020
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    About this Episode

     Are you looking to get a break in data science but struggling to clear interviews? Well the process starts right from the stage you start researching the different roles that interest you. And it goes all the way up to the completion of in person interviews.

     If you’re applying to hundreds of jobs and not getting any interviews, though, there’s a good chance that something is wrong. It could be that you’re not qualified for the jobs you are applying to or it could be that something in your application materials is bothering recruiters. To make matters more complicated, unlike software development positions which have more standardized interview processes, data science interviews can have huge variations. This is partly because as an industry, there still isn’t an agreed upon definition of a data scientist into three paths: Algorithms, Inference and Analytics.

    We from BEPEC are ready to help you and make you shift your career at any cost.
    Anyone are interested for Career Transition Programs on ML / AI / DL / Data Science
    get register here https://www.bepec.in/registration-form



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    5. CMLA for Data Science Lifecycle
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    4. 3+ POC which are mandatory for interviews
    5. Customised Career Transition Roadmap based on learners' challenges
    6. 100% Support until you get placed
    7. Flexible entry & exit points, you can attend training any number of times until you get placed. 
    8. Mindmap Driven Learning for Revision and Easy Learning while Preparing for Interviews
    11. Holistic Learning with 360+ Hours of Content
    12. Tuition Classes on Weekdays
    13. Weekend Live Classes on Saturday & Sunday

    Instagram: https://www.instagram.com/meet_kanth/
    Linkedin: https://www.linkedin.com/in/rajeev-kanth-6222a618a/
    Spotify: https://open.spotify.com/show/0JDDBdl7aHtoBBwQuCyHV4

    Check this out: https://linktr.ee/BepecSolutions