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Driven By Data

3 Tips for Training Excel Users in R

Posted by Merav Yuravlivker on Jul 2, 2018 6:10:00 PM

This post was originally published on RStudio’s blog, R Views.

“I’m not a coder” or “I was never good at math” is a frequent refrain I hear when I ask professionals about their data analysis skills. Through popular culture and stereotypes, most people who don’t have a background in programming automatically underestimate their ability to create amazing things with code. However, Data Society has proven that this is a false narrative through our training program — with students in over 20 countries and many government and enterprise clients, we’ve seen so-called “non-coders” proficiently put together automated data cleaning code scripts and analyses within a few weeks. So how do we do it? Well, we’ve singled out three key steps to get someone started on their journey to an amazing skill set and more powerful data analytics:

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Topics: data training, data science, excel, r programming

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Data Society provides tailored data science training programs to help organizations build their data science capacity and instill a data-driven culture. We work across all levels of a company to bridge the data communication gaps, and we're preparing people for the data revolution!

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