There's a Coursera specialization on Scala, however it seems to focus more on data analysis than web development.
If you're worried about your resume, just use the down time to pad it with new skills.
Maybe something like this? https://www.coursera.org/specializations/scala
Haskell forces you to think in a certain way. So if you want to learn about functional programming, then when you're searching for programming examples all those examples will be in a functional style. You can then apply those styles to Scala or F#. Personally I'd lean towards Scala (on the back of Spark) - there's the Coursera Scala Functional Programming course  which will give you a good start.
That's interesting. Just a few days ago with great regret I decided to drop the (free) Scala course on Coursera after almost finishing week #3 (of 5 I think). I'm actually already pretty familiar at least with the essentials of functional programming but would like to go even deeper.
However, I found the step too steep between the easy to understand lectures and the exercises, and the latter not as useful as they could be. It felt like I was suddenly dropped off and left to my own devices with no guidance. "Now implement this!" Uhm... what? Sure, that's easy, I've been implementing much more complicated things for decades. The problem is I have no idea how to approach it "the right way" as far as Scala is concerned, that's why I'm taking the course!
Looking at the forum - extremely sparsely populated even after over 4 months - showed that I could also expect no guidance from there. That meant that even when I finished a task I was unable to find out if what I had done was the right (functional) way. For one and most importantly, there is hardly anyone to respond, but also since the only exercises are the homework assignments you can't just post your code, that's an "honor code violation". There also is no "solution", i.e. you can't see how the course author(s) would have implemented it.
Another example, people in the forum complained about extreme differences in performance for very minor differences in the way you wrote something, and you had to find all of this out completely for yourself, again no guidance at all.
Another point is that I found the problems too academic. Sure, I can walk a list of head.tail or a tree of left.element.right tuples. But overall the problems were all from what I did a long time ago at university and it felt very, very far from what I deal with now - and I don't just do CRUD or other boring stuff and actually do have interesting algorithms to implement. The course feels like being made for university students - in a negative way.
Overall I found the course more frustration than it was worth. I could have solved the programming challenges easily enough in a way I already knew, but what's the point? I wanted to learn the new (Scala) way, but felt all alone in trying to do that.
The course was like a good violin player demonstrating a piece and then giving me some sheet music and shoving me out the door "come back when you can play that". It's hard to complain about "free", but if course forum participation is a guide, both total numbers as well as the steep drop-off after week 1 and 2, it isn't very successful.
The course: https://www.coursera.org/learn/progfun1
Note: Enrolling in the courses individually is possible for free, going through the "specialization" page at https://www.coursera.org/specializations/scala only shows the for-pay option.
My suggestion is to try to audit a series of courses. This will force you to concentrate on a particular theme; some of the courses are not self-paced and have a deadline to finish problem-sets (which are Juyptor notebooks where you have to actually do the work, and fill-in the code snippet but not to muck around with setting up annoying IDE/dev environment, autograded with unit tests), so will force you to stick to deadlines.
Here are some of courses that you might (read: actually I am) interested.
https://www.edx.org/xseries/data-science-engineering-apache-... (3 courses on Apache Spark using PySpark and introduction to simple machine learning and distributed computing)
https://www.edx.org/xseries/genomics-data-analysis (3 courses on R, next-gen genomics sequencing, annotation and some more cool computation protocols involved with CHIP-Seq and RNA-seq).
https://www.coursera.org/specializations/scala (4 courses + capstone, spearheaded by Martin Odersky; the guy who is the big-wig in the Scala community).
Also, I'd recommend taking the verified tracks for all of them. This will force you to complete them as money is on the line (if possible ask HR/your boss if it's related to your work, for tuition reimbursement benefit).