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[D] How to become the fastest data scientist in the world?

Hi, my name is Florian and I have a dream:

I am obsessed with process optimization and would love to be reaaally fast at Data Science because I love to understand new data sets and derive value from it. So, Data Scientist for me really is the sexiest job of the 21st century. However, to be honest, the work is quite tedious at times. For me, it is especially tiresome to dig into the data (with pandas), choosing the right visualizations. Always adjusting the analyses just a little bit to get them right. And basically the process is very similar for the next project. At least the data exploration part of it.

So, I would like to know: Do you have the same feelings? Where do you lose most of your time? What is especially tedious/slow/tiresome for you?

And then of course: if anyone has good suggestions on how to improve our workflows, I am very interested!

Currently, I already use pandas, seaborn, Jupyter Notebook/Lab, and pandas-profiling.

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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.