Certificate Program in Data Science - Demo Session | In Collaboration With IBM

What does it take to become a Data Scientist? This 2-hour demo would lay the foundation for structured Data Science learning. Get introduced to fundamentals of Data Science and Statistics through this interactive expert-led session by GreyCampus in collaboration with IBM. This session would also help you to choose the right program for your Data Science career.


30

MAY
2020

11:00 AM IST

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Description

What you will learn in the "Certificate program in Data Science" demo:

  • How to get started with Data Science as a career option
  • Application of Data Science
  • Data Science terminologies
  • Understand what actually goes on behind the scenes by taking a look at real-life business scenarios that Data Scientists encounter 
  • Hands-on experience in data analysis using Python
  • How to choose the right data science program
  • Introduction to GreyCampus' certificate programs
  • QnA session

This demo class is a 2-hour session that's a part of a full-length live online boot camp. The demo class (and the boot camp) is run on industry-standard online class infrastructure from Zoom.us. You'll just need a computer/ tablet with internet access (>512 kbps recommended) to participate.

Links to GreyCampus Certificate Programs in collaboration with IBM:


For any queries or concerns drop an email to support@greycampus.com.

Chandan Kumar Sinha

Chandan Kumar Sinha

Chandan Sinha has almost a decade of industry experience in Data Analysis, Advanced Analytics, Machine Learning, and Software Engineering. He has applied Analytical techniques, Machine Learning algorithms, and Visualization concepts on a wide array of problem statements in different domains. He carries hands-on experience in R, Python, and Tableau and has thoroughly used multiple data sources like SQL Server, Teradata, and Hive, to name a few. His assignments span across Retail, Healthcare, Telecom, and Travel domains. He is extremely passionate about sharing his experience and knowledge with those interested in learning the concepts of Data Science.