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Data manipulation and feature engineering are crucial steps in Data Science, making them critical skills that every data scientist must possess. Every language has its own tools for accomplishing these tasks and for R, it’s the powerful yet elegant dplyr library.

Get your laptops and join us for a hands-on workshop where we’ll cover the functionalities offered by dplyr for manipulating data. Knowledge of R is not required for this session. Please have R Studio installed on your computers. We will work on the Titanic dataset from Kaggle (https://www.kaggle.com/c/titanic/data). The dataset is also available here https://drive.google.com/open?id=1zd5mYiLFXjHNF5eT6yDQdfkSNdiBP5cz

Slides: https://docs.google.com/presentation/d/1JHf-MqTq_Nkt5Z6wscbruwZJeFA_OSQ3Q2Jx4P6omf0/edit?usp=sharing