# Introduction to Julia for Data Science Short course @ MIT

**URL:** https://discourse.julialang.org/t/introduction-to-julia-for-data-science-short-course-mit/90062
**Category:** Teaching & Outreach
**Tags:** announcement
**Created:** [November 10, 2022, 6:01pm UTC](https://discourse.julialang.org/t/introduction-to-julia-for-data-science-short-course-mit/90062 "2022-11-10T18:01:07Z")
**Posts on this page:** 6
**Page:** 1

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### Author: ![bkamins](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/bkamins/32/208538_2.png) [@bkamins](https://discourse.julialang.org/u/bkamins)
#### Post date: [November 10, 2022, 6:01pm UTC](https://discourse.julialang.org/t/introduction-to-julia-for-data-science-short-course-mit/90062/1 "2022-11-10T18:01:07Z")

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For anyone interested, there is a 4-day “Introduction to Julia for Data Science” short course organized at MIT on Jan 17-20, 2023. You can find a PDF with the schedule [here](https://drive.google.com/file/d/1lMDMDXGofyCInlsHCfr4_hS0Ew5l55Dc/view).

The course instructors are be both from academia and industry, so you can expect rigorous yet practical content.

Everyone is welcome to join us!

Also, since my team and I will be at MIT for one week I will be happy to meet with anyone interested in the Julia language 😄. If someone has time for chatting please give me a ping!

Best,  
Bogumił

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### Author: ![jishnub](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/jishnub/32/33620_2.png) [@jishnub](https://discourse.julialang.org/u/jishnub)
#### Post date: [December 7, 2022, 6:20pm UTC](https://discourse.julialang.org/t/introduction-to-julia-for-data-science-short-course-mit/90062/2 "2022-12-07T18:20:42Z")

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Is there any chance that this will be recorded?

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### Author: ![bkamins](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/bkamins/32/208538_2.png) [@bkamins](https://discourse.julialang.org/u/bkamins)
#### Post date: [December 8, 2022, 7:21am UTC](https://discourse.julialang.org/t/introduction-to-julia-for-data-science-short-course-mit/90062/3 "2022-12-08T07:21:28Z")

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We will try to record and live-stream it, but we cannot be sure what is possible until we get at MIT. If it will be possible to stream it I will post about it before the workshop.

CC @pszufe

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### Author: ![bkamins](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/bkamins/32/208538_2.png) [@bkamins](https://discourse.julialang.org/u/bkamins)
#### Post date: [January 11, 2023, 3:45pm UTC](https://discourse.julialang.org/t/introduction-to-julia-for-data-science-short-course-mit/90062/4 "2023-01-11T15:45:52Z")

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There were several requests for on-line access to the course. If someone would like to register for this please use the following form [https://forms.gle/kTEEGGcbuSPF9UbQ9](https://forms.gle/kTEEGGcbuSPF9UbQ9). Then you will be invited via MS Teams to participate.

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### Author: ![rafael.guerra](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/rafael.guerra/32/216610_2.png) [@rafael.guerra](https://discourse.julialang.org/u/rafael.guerra)
#### Post date: [January 11, 2023, 6:10pm UTC](https://discourse.julialang.org/t/introduction-to-julia-for-data-science-short-course-mit/90062/5 "2023-01-11T18:10:41Z")

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> [@bkamins](#):
>
> please use the following form …

NB: there is a big typo: _each day of the classes (June 17-20th)_

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### Author: ![bkamins](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/bkamins/32/208538_2.png) [@bkamins](https://discourse.julialang.org/u/bkamins)
#### Post date: [February 2, 2023, 9:44am UTC](https://discourse.julialang.org/t/introduction-to-julia-for-data-science-short-course-mit/90062/6 "2023-02-02T09:44:03Z")

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For anyone interested on [GitHub - pszufe/MIT\_18.S097\_Introduction-to-Julia-for-Data-Science: MIT\_18.S097](https://github.com/pszufe/MIT_18.S097_Introduction-to-Julia-for-Data-Science) you can find YouTube videos of all courses that we have taught. They cover eight topics:

1. first steps with Julia.
2. Working with tabular data.
3. Basic predictive models (GLM.jl)
4. Advanced predictive models (MLJ.jl, @ablaom - we have started teaching MLJ.jl finally 😄)
5. Optimization with JuMP.jl
6. Analyzing graph data with Graphs.jl
7. Deployment of Julia in production
8. Introduction to parallel computing using Julia

I hope it will be useful.
