DataHour: Normal Distribution - Understanding the Numbers and its Real Life Applications

DataHour Recording

Find the resources used in the DataHour HERE.

About the DataHour:

In this DataHour, Sumit will cover the following topics:

• What is a Normal Distribution, Standard Normal Distribution and Central Limit Theorem.
• How can we convert a Skewed Distribution to Normal Distribution and why should we do it?
• How to find the probability of an outcome in a Normally Distributed dataset using the Nifty 50 data of the last 20 years.
• Can we predict the probability of the market movements? 

Prerequisites: Interest in Data Science and willingness to pursue the Data Science domain.

Who is this DataHour for?

• Students & Freshers who want to build a career in the Data-tech domain.
• Working professionals who want to transition to the Data-tech domain.
• Data science professionals who want to accelerate their career growth

Speaker:

Sumit Patel

Data Scientist at PayPal

Sumit is currently working as a Data Scientist at PayPal. He has an overall experience of 5.5 years in the field of Data. He started his professional journey after graduating as a Civil Engineer from PEC University of Technology, Chandigarh and post-graduating as a MBA in Marketing and Operations from Symbiosis Institute of Management Studies, Pune.

Then Sumit started diving into Machine Learning and Data Science during the Covid Lockdown. He explored various learning platforms and worked on 25+ hands-on projects involving Supervised and unsupervised learning models, Neural Networks, Recommendation Systems and Anomaly Detection systems and is now excelling in the field of Data Science.

Connect with Sumit on linkedin