About this Masterclass

Thanks to Data Science and Data Scientists, we can now understand, predict and solve real-world issues. From creating forecasting algorithms and data models to understanding consumer behaviour & patterns, they have made life much easier.

Even FinTech giants rely heavily upon them for faster decision-making and cutting-edge insights. Putting their skill set to use, these companies try to capture valuable information. Do you want to join the club?

Be it a real-time analyst, consumer analyst, financial planner, or more, learning Data Science is the first step to becoming a FinTech Data Scientist. But, that’s not it. You’ll also need a preparation strategy and a structured roadmap to ace those nerve-wracking interview rounds. 

Join Ramit Sawhney on 31st January, Tuesday at 8 PM to know all about becoming a FinTech Data Scientist, LIVE. Register Now!

What You Will Learn From This Session

• Career opportunities in Data Science & Machine Learning 
• Preparation strategies for Data Science Interviews at top companies
• Must-have competencies to build a thriving career in Data Science
• Ask career-related questions from a Top Data Scientist
  

Meet Ramit Sawhney (LinkedIn)

• Research Group Lead, IIIT Delhi
• Affiliate Researcher, University of South Carolina
• Research Associate, Georgia Institute of Technology
• Engineering Manager, Tower Research Capital

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