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Transition from Data Analytics to Data Science job
STARTS ON:
March 23, 2023 8:00 PM (IST)
ENDS ON:
March 23, 2023 11:00 PM (IST)
VENUE:
Online

About this Masterclass

Data analytics is like dipping your toes in the data pool, but data science is diving headfirst into the deep end. To make the transition, you'll need to develop ninja-level skills in computer science, mathematics, and stats. It requires a strong foundation in computer science, mathematics, and statistics, as well as experience with programming languages such as Python or R.


In addition, data scientists are often required to work with big data and machine learning algorithms, so familiarity with tools like Hadoop, Spark, and TensorFlow is also beneficial. By developing these skills and gaining hands-on experience in data science projects, you can successfully make the transition and take advantage of the growing demand for data scientists in various industries.


Join this FREE masterclass on how to transition to Data Science Role on 23rd March, Thursday LIVE. Register now


What You Will Learn From This Session
  • Difference between Data Science, Data Analytics and other roles

  • Career opportunities in Data Science and Machine Learning

  • Roadmap to how to switch to a career in Data Science

  • What is currently missing in Data Science Bootcamps?

  • How does Scaler solve that problem?


Meet Srikanth Varma Chekuri (LinkedIn)
  • Co-Founder & Principal Instructor, Applied AI & AppliedRoots

  • Senior ML Scientist @ Amazon, Palo Alto and Bangalore

  • Co-Founder, Matherix Labs

  • Research Engineer, Yahoo! Labs

  • Masters from IISc Bangalore, Gate 2007(AIR 2)

  • 13 years of experience in AI and Machine Learning.

What our Learners have to say

prize

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