How to Learn Data Science and Make a Career in it?

About the Webinar

Data science is the study of large and complex datasets to build analytical models for identifying insights and making value-driven business decisions. The domain includes machine learning (ML), artificial intelligence (AI), statistics, modeling, databases, and programming. Data science is driving businesses forward around the globe.

Building a successful career in data science requires one to opt for the right learning path. This webinar includes expert guidance on how to learn data science so as to have a rewarding career in it.

Agenda

• Introduction to Data Science
• Why Data Science?
• Roles and Responsibilities of a Data Scientist 
• Skills to become a Data Scientist
• Salary of a Data Scientist
• Further Learning

What Will You Learn 

• Meaning of data science
• Relationship among data science, AI, ML, neural networks, etc. 
• Core concepts of data science
• Step-by-step guide to learning data science
• Career prospects in data science

About the Speaker

Shivam carries vast experience in software engineering, data science, machine learning, etc., and has worked in leading companies, such as McKinsey & Company, at senior positions. Along with holding multiple licenses and certifications, he is also the founder of a tech startup and has extensive training experience.