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Webinar: Getting Industry-Ready For Top Data Science Jobs

Online 10-03-2021 07:30 PM to 10-03-2021 08:30 PM
  • 1609

    Registered

  • Knowledge and Learning

    Prizes

About the Webinar:

Do you know why Experts in Industry reject data science applicants trying to get into data science even when they have equipped themselves with industry relevant tools and techniques?

It is the lack of real world Industry exposure in learning. You can know the most sophisticated algorithm in the world - but it is useless until you can apply it to solve Industry problems.

In this webinar, we bring an eclectic mix of speakers with a ton of industry experience who will discuss ways to gain industry exposure.


Agenda For the Webinar:

  • Data Science Job landscape
  • The need for becoming Industry-Ready
  • Best practices & guidance to become industry-ready
    • Importance of Data Science projects
    • Role of Industry Immersion
    • Preparing for interviews
    • Mentorship & Guidance
  • Challenges which aspirants face in getting the right exposure to industry


Who is this Webinar for?

  • Working professionals who want to transition to a data science career
  • Data science professionals who want to accelerate career growth with industry exposure
  • Students aspiring to be industry ready for data science and machine learning jobs

Who Should Attend this Session?

It is a must-attend for anyone and everyone who is interested in a career in data science

Speaker

Sachin Arora

Partner and Head of Lighthouse (Analytics, AI & Data), KPMG in India

Sachin brings over 18 years of experience in Analytics & Big Data Technologies. He has worked on strategizing Big Data roadmaps for large Indian enterprises, helping transform them into data-centric and efficient organizations. He is a thought leader on social, mobile, analytics and cloud

Kaushik Roy Chowdhary

Senior Data Scientist, Analytics Vidhya

Kaushik is a data science professional and trainer with more than 7 years of experience in the domain of data-driven consulting and around 3 years of experience disseminating the knowledge through teaching and training.

ALT

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