Tutorial: Inferential Statistics for Data Science – Chap 2

Share on facebook
Facebook
Share on twitter
Twitter
Share on linkedin
LinkedIn
Share on reddit
Reddit
Share on whatsapp
WhatsApp

Data Science Webinars

Tutorial: Inferential Statistics for Data Science - Chap 2

May 9, 2019|Rohit Ghosh

Rohit Ghosh is a graduate of IIT-Bombay with over 5 years of experience as a data scientist. Rohit started his professional life working as a risk analyst at Nomura. It’s here that he discovered his love for machine learning and decided to pivot into data science. After re-training as a data scientist, Rohit had a successful run working for ListUp and Data Science Labs. Post this stint, he decided to apply his data science skills to fix healthcare challenges. Thus, his first startup Qure.ai was born. Qure.ai is a healthcare startup that leverages deep learning in radiology image processing. In addition to growing his startup, Rohit is also keen on learning about cryptocurrencies and reinforcement learning – an emerging niche in machine learning.

Key takeaways for you

  • What is inferential statistics and why it is useful
  • What is z-score and how can it be applied
  • Understand point-estimates and confidence intervals
  • Understand hypothesis testing and related concepts
  • Learn one-sample and two-sample t-test, chi-Squared Goodness-Of-Fit Test, and ANOVA

0 responses on "Tutorial: Inferential Statistics for Data Science - Chap 2"

Leave a Message

Your email address will not be published.

© 2020 GreyAtom. All rights reserved.