Good introduction to basic julia.

Good Course

The course wasn't well prepared. There were two teacher with completely different pace of teaching. First one slow and the second one very fast. The content provided for weeks weren't balanced. the 4th week took 3 times more time compared to each of the first three weeks. The transition of the content to the new Julia version in the middle of taking the course made a lot of trouble. There were a lot of inconsistencies.

Compared to other courses, this one is not rich in content. The peer-reviewed assignments are the most interesting features, but they are way too easy to be actually challenging. On the other side, the quizzes are sometimes oddly specific.

Some lessons are just Julia hype, without real explanations.

The course is good to get an introduction to Julia. Unfortunately a lot of stuff should be updated and improved as Julia develops the course should be kept up to date. On the flipside the course forces you to search for changes and better or further explanations resulting in long-term learning.

While the course does a good job of explaining most things but if you struggle with a problem or a topic support is nearly non existent and offline resources for julia are limited. No one used the discussion forums either unfortunately.

This course was helpful in understanding the basics of Julia, but there are still a few things I feel I'm missing. A longer course with more time for advanced details would be better in my opinion.

The course could have been much better if it was more aligned with the language itself instead of the epidemic and disease stuffs.

It's a good course if you don't know anything about coding.

sound problem in all videos, audio is very low

fair intro level to julia

A little bit to easy.

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 However, the course is quite messy, outdated, and with errors.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".

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.

Poorly organised course content

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.

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.

Low quality course in many aspects: videos, updates, code, ideas.

They only read a jupyter notebook

It was not useful at all!

nulle