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Community Talk: Data Manipulation with dplyr
March 14 @ 6:00 pm - 8:00 pmFree
Can’t make it? Watch the livestream here: https://hubs.ly/H0b0Sdb0
What we’ll do:
dplyr is a a great tool to perform data manipulation. It makes your data analysis process a lot more efficient. Even better, it’s fairly simple to learn and start applying immediately to your work! Oftentimes, with just a few elegant lines of code, your data becomes that much easier to dissect and analyze. For these reasons, it is an essential and foundational skill to master for any aspiring data scientist. Often one may be surprised how some easy-to-learn functions can make the data analysis process that much more efficient. That is certainly the case with dplyr. We will teach you how to use this incredibly useful package to mung data, while demonstrating with a Kaggle dataset on wine ratings. Remember to bring your laptops to follow along if you like.
Learn more: https://hubs.ly/H0b0Sxl0
About the Speakers
Arham Akheel holds a Masters degree in Technology Management from Texas A&M University and has a background of managing information systems.
Raja Tanveer Iqbal is the Founder of Data Science Dojo, one of the best-rated data science training companies in the world. Data Science Dojo’s mission is to make data science skills accessible to everyone. Raja and and his team have trotted the globe to train over 2,800 aspiring data scientists from 400+ companies.
Completely rehabilitated now, Raja once suffered from the harmful addiction of a monthly salary*. As a paycheck addict, Raja worked at Microsoft Corporation for over six years in various roles, solving problems in organic and paid search. When not doing data science, Raja likes to go around educating people about the dangers of salary addiction.
Raja has a Ph.D. Computer Science with a focus on computer vision and data mining.
*For those who get the reference, Raja is still struggling with his carb addiction. Fortunately, he has never been a heroin addict.
6:00 – 6:30 Grab some pizza and socialize
6:30 – 7:45 Presentation
7:45 – 8:00 Questions & Answers