Data Science and Machine Learning are among the most popular buzzwords at present, and often, we tend to confuse the two terms with one another. In this one-hour webinar, let's look at how these terms differ and what is the role of Machine Learning in Data Science.

Data science is rapidly becoming popular in every industry. How is Data Science used in the industry? How is Machine Learning employed in Data Science projects? How can you be part of this growth and build a career in Data Science?

Key Takeaways:

How different organizations use Data Science.

Understand Machine Learning's role in the Data Science project.

How to become a Data Scientist/ML engineer.

What are the prerequisites to become Data Scientist?

Who Should Attend:

Software Engineers

IT Architects

Project Managers

Business Analysts

Domain Experts

Professionals and graduates aspiring to become data scientists

Date: 15 APR 2020

Time: 7:30 PM IST

Speaker: Rajeev Kumar

About the speaker: Rajeev Kumar is a highly optimistic individual that has worked with Fortune 100 clients including Google, IBM, and Disney. With over 22 years of experience in the IT industry, Rajeev has turned his focus for the past 5 years towards Data Science and AI/ML. To this end, he has come up with Data Science and AI/ML backed solutions in various fields, from Fashion to Education. His solutions have saved millions of dollars on costs to his clients. Rajeev is committed to sharing his learnings with enterprises to build Data Science and AI capabilities for their domains to make exponential gains.