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What it takes to be a Data Scientist at Microsoft?
Master Product and Strategy questions for Data Science Interviews
STARTS ON:
November 19, 2022 5:00 PM (IST)
ENDS ON:
November 19, 2022 8:00 PM (IST)
VENUE:
Online
DURATION:
3 hours

About this Masterclass

Working at a leading Tech company is a dream for many. But most candidates just don’t know how to stand out in an ever-expanding, talented pool of candidates and prove their skills to hiring managers out there!

What is the recruitment process and preparation strategy for acing all those challenging interview rounds? And more importantly, what should you keep in mind while applying for a top tech company like Microsoft?

Shivank Agrawal will answer this in detail on 19th November, Saturday at 5 PM in his FREE Masterclass.

Register to learn the essential strategies needed to bag a job at a Top Tech Giant, LIVE!

What You Will Learn From This Session
  • Skills required to become a Data Scientist at the World's Top Companies
  • Design high-level solutions and map out key problems with reasonable hypotheses
  • How to tackle interview rounds at the World's Top Companies
  • The ability to outline all potential paths and obstacles in a systematic way
Meet Shivank Agrawal (LinkedIn)
  • Senior Software Development Manager, Microsoft
  • Ex-Engineering Manager, Inmob
  • Ex-Software Development Manager, Oracle
About Scaler Data Science

Many professionals (like us!) enter the field of Data Science by working on toy data sets and have no real-world knowledge of using real data. We are exposed to ‘old’ teaching methods and are taught to ‘cram’ content. When they start working in the industry, they fail to catch up on the skills that the industry needs because they never learnt the real-world application of using messy data and thus, end up lagging behind their peers. This leads to a loss of confidence and stops them from accelerating their career. This is where Scaler Data Science solves the problems!

Scaler Data Science is a tailor-made program to master the foundations of Data Science and Machine Learning and to take their career to the next level, via:

  • A structured, guided, and industry vetted curriculum
  • Live classes by faculty who have been there, done that
  • Regular 1:1 mentorship from industry veterans
  • Practical experience through real-life projects
  • Career support via a dedicated recruitment team, alumni network, etc.
  • Aspirational peer group of 3,500+ Scaler students & alumni

prize

 

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