Data Science: What You Always Wanted To Know

Abstract

Data is the most valuable currency today. With the huge amount of data flowing across industries today, Data Science helps us study and obtain insights from this raw, unstructured data, through analytics. Data Scientist jobs grew by 45% in 2019, and are amongst the highest paid roles in the IT industry.

This webinar helps you make sense of Data Science and its lifecycle, from Data Discovery to the Communication stage. It talks about various tools such as R, Tableau, QlickView, etc, and using machine learning algorithms such as regression and classification to predict valuable insights from data.

Agenda

• Introduction to Data Science
• Scope of Data science in projects
• Data Science components and lifecycle
• Tools used for Data science
• Understanding the relationship between Data, Data science and Machine learning
• Industry Use cases of Data Science 
  

About the Speaker

With over two decades of insightful experience, Kiran Babu has a unique blend of knowledge in Data science, Artificial intelligence (AI) & Blockchain, Machine learning, and SAP. He has managed projects in the areas of Cognitive and Predictive Analysis using Python, Data Mining, Predictive Modeling, etc. in multiple roles including Practice Head, Product Manager, Support Manager, etc.

As both a Data Scientist and a Mathematician, Kiran has a passion for Natural Language Processing, Image Recognition, and Deep Learning.