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Using ChatGPT for Exploratory Data Analysis with Python, R and prompting workshop

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Join our workshop on Using ChatGPT for Exploratory Data Analysis with Python, R and prompting, which is a part of our workshops for Ukraine series! 


Here’s some more info: 


Title:Using ChatGPT for Exploratory Data Analysis with Python, R and prompting


Date: Thursday, November 30th, 18:00 – 20:00 CET (Rome, Berlin, Paris timezone)


Speakers: Gábor Békés is an Associate Professor at the Department of Economics and Business of Central European University, a research fellow at KRTK in Hungary, and a research affiliate at CEPR. His research is focused on international economics; economic geography and applied IO, and was published among others by the Global Strategy Journal, Journal of International Economics, Regional Science and Urban Economics or Economic Policy and have authored commentary on VOXEU.org. His comprehensive textbook, Data Analysis for Business, Economics, and Policy with Gábor Kézdi was publsihed by Cambridge University Press in 2021.


Seth Stephens-Davidowitz is a data scientist and New York Times bestselling author. His 2017 book, Everybody Lies, on the secrets revealed in internet data, was a New York Times bestseller; a PBS NewsHour Book of the Year; and an Economist Book of the Year.  His 2022 book, Don’t Trust Your Gut, on how people can use data to best achieve their life goals, was excerpted in the New York Times, the Atlantic, and Wired.  Seth has worked as a data scientist at Google; a visiting lecturer at the Wharton School of the University of Pennsylvania; and a contributing op-ed writer for the New York Times.  Seth has consulted for top companies.  He received his BA in philosophy, Phi Beta Kappa, from Stanford, and his PhD in economics from Harvard.  


Description: How can GenAI, like ChatGPT augment and speed up data exploration? Is it true that we no longer need coding skills? Or, instead, does ChatGPT hallucinate too much to be taken seriously? I will do a workshop with live prompting and coding to investigate.  I will experiment with two datasets shared ahead of the workshop.  The first comes from my Data Analysis textbook and is about football managers. Here I’ll see how close working with AI will get to what we have in the textbook, and compare codes written by us vs the machine. Second, I’ll work with a dataset I have no/little experience with and see how far it takes me. In this case, we will look at descriptive statistics, make graphs and tables, and work to improve a textual variable.  It will generate code and reports, and I’ll then check them on my laptop to see if they work. The process starts with Python but then I’ll proceed with R.


Seth Stephens-Davidowitz is writing a book in 30 days using ChatGPT’s Data Analysis.  The book is called Who Makes the NBA? and is a statistical analysis of what it takes to reach the top of basketball. Seth will illustrate his experience with one of the case studies he had worked on. The Workshop will end with Seth and Gabor chatting about their experiences in what works well


Minimal registration fee: 20 euro (or 20 USD or 800 UAH)




How can I register?





If you are not personally interested in attending, you can also contribute by sponsoring a participation of a student, who will then be able to participate for free. If you choose to sponsor a student, all proceeds will also go directly to organisations working in Ukraine. You can either sponsor a particular student or you can leave it up to us so that we can allocate the sponsored place to students who have signed up for the waiting list.


How can I sponsor a student?





If you are a university student and cannot afford the registration fee, you can also sign up for the waiting list here. (Note that you are not guaranteed to participate by signing up for the waiting list).



You can also find more information about this workshop series,  a schedule of our future workshops as well as a list of our past workshops which you can get the recordings & materials here.


Looking forward to seeing you during the workshop!



















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