About this Masterclass

A foundational understanding of Python concepts is essential for any Data Scientist to succeed. Every Data Science model built uses the programming language. Thus, to work at top companies and prove yourself as a skilled Data Scientist, you must learn Python and work on projects that assess your understanding well.

Are you ready to learn the most essential skills for any aspiring Data Scientist in just 3 hours?

Attend Anant Mittal’s Python Bootcamp on 29th October, Saturday at 4 PM to learn Data Science using Python, LIVE!

What You Will Learn From This Session

• Understand what happens under the hood with Python
• Mutability and Immutability
• Dunders or Magic Methods in Python
• Higher Order Functions and Decorators
• Iteration Protocol
• Become proficient in the language core and not just the syntax

Meet Anant Mittal (LinkedIn)

• Lead Data Scientist & Instructor, Scaler
• Associate Researcher at IIITH
• Ex Data Scientist, Lightmetrics
• Ex Researcher, University of Maryland

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