14 de dic. de 2020
Really great pacing, practical examples and quizzes without being overwhelming. Great for both beginners in programming and statistics, and for those with some experience. Awesome lesson, thank you!
26 de ene. de 2018
Excellent, engaging teaching that makes me want to use Julia language (and Jupyter notebooks) all the time. As the language evolves, you need to adjust to newer Julia versions - just a part of fun.
20 de ago. de 2018
The course could have been much better if it was more aligned with the language itself instead of the epidemic and disease stuffs.
por Sonja S•
6 de dic. de 2021
It's a good course if you don't know anything about coding.
por Vishal S•
30 de abr. de 2020
sound problem in all videos, audio is very low
17 de oct. de 2016
fair intro level to julia
24 de dic. de 2019
A little bit to easy.
por Alexey V•
15 de may. de 2021
The course gives some basic understanding of Julia and packages that can be used in data science (not exactly in scientific programming). However, the course is quite messy, outdated, and with errors. The quiz for week 4 was a major disappointment; "guess what the authors wanted" instead of "answer the question".
por Luis A C G•
27 de may. de 2018
While it's indeed a very good introduction to Julia lang, it makes no sense videos are based on course notes. I paid for the course because it has very positive comments, but in my opinion it doesn't worth it.
por Ashrith R•
25 de dic. de 2017
Poorly organised course content
por Matthieu L•
24 de dic. de 2020
With all due respect, this is the worst course I followed on Coursera.
- First of all week 1 is extremely basic. I would think that most people learning Julia are coming from Python and/or data-science background with programming knowledge. Yet the week 1 feels like for people with no programming experience.
- But then week 2 goes directly into plotting! Plotting is the last phase of any data analysis. Before that, you need to manipulate your data and there is a lot to learn about as Julia's Array seems very different than Python or Numpy's arrays but is absolutely not covered.
- Worse, week 3 has nothing to do with Julia. I appreciate having a real world example but most of the lectures are explaining epidemiology SIR models and teach nothing more about Julia. In terms of learning Julia, that entire week can be skipped.
- Week 4, which should have been before week 2 is more interesting going into DataFrames and data manipulation. But again, I think there's a lot to teach first about basic Julia data types like Arrays, Vectors, Sets...
An example. In week 4 there is a code doing the following on DataFrames dataA = data[data[:Treatment] .== "A", :] But never in the course is it explained that the period, when prefixing a function or operator is used to indicate broadcasting (performing the operation element wise).
In short, the course fails on teaching any of the important specificities about Julia.
And on top of that, as other mentions, it is outdated.
por Lafras U•
4 de oct. de 2021
This course is very basic. For somebody with industry experience using Python or R a more rigorous and comprehensive course would be needed. The course also still relies on Julia 1.0, at the time of writing this I was using Julia 1.6.
por Arturo E•
23 de oct. de 2019
Low quality course in many aspects: videos, updates, code, ideas.
por Isai A M M•
13 de feb. de 2022
They only read a jupyter notebook
por Alireza L•
6 de ago. de 2022
It was not useful at all!