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.
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).
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).