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About AV LearnUp Hyderabad: Exploratory Data Analysis

The meetup is being co-organized with HydPy - Hyderabad Python User group and Swecha. With the aim to create a community full of aspiring analysts & data scientists, we are coming up with the next series of meetups focused on individual domains & topics. 


In this session, learn new strategies around analytics and data science.


10:00 am Welcome & Introduction

10:15 am:  Introduction to EDA by Sunayna Dutta

11:45 am Tea & Snacks Break

12:00 pm Hands on session on problem solving countinued

Sunayna is a Strategist at Google, Hyderabad. Previously, she was part of MuSigma and Amazon where she worked on solving problems of assortment optimization, campaign design and measurement, process improvements. In her current role, she works on anomaly detection , fraud and risk assessment, making internet a cleaner place for advertisers and end users. Analytics professional with 4 years of work experience in in machine learning and statistical modeling techniques like logistic regression, clustering, lda, random forest and coding languages R, SAS, SQL

Why should you attend this?

  • Know about the abundant career opportunities in data science & analytics industry
  • Find out what are skills required to start your career in data science
  • Q&A with Analytics Vidhya experts
  • Learn about the best practices to become a data scientist
  • Network opportunities


If you are a beginner, professional or student looking to build your career in Analytics, this meetup is just the place you might be looking for!

We are excited and invite your participation in this very engaging and informative opportunity.

Important Points:

  1. Bring Your Laptop
  2. Install Excel / SAS/ R / Python
  3. There is NO FEES!

Venue Partner: Swecha

Swecha Sy. No. 91, Beside Centre for Good Governance, Greenlands colony, 'X'Roads, beside Sherilingampally,, Jawaharlal Nehru Outer Ring Road, Gachibowli, Madhava Reddy Colony, Gachibowli, Hyderabad, Telangana 500032

Registration Fee

Applied ML