I’ve been using DataQuest for a few weeks now, and recently finding it a bit hard to make
consistent progress self-studying when other things in life start getting in the way.
I think back to when I was the most productive (a while back, around the 3rd year of university): in addition to deadlines, having peers to work towards the same goals together, and compare progress (or the lack thereof ) was also really important in staying motivated, and making steady progress.
If you feel the same and could also use some help to stay on track, I suggest we update our daily or weekly progress together in this thread! (or it could be a thread in another category, where the DQ site moderators decide is more fitting).
It could be like those social media posts of people updating their daily diets or gym workout routines. It could be something short like:
May 19-25: Completed Pandas and Numpy Fundamentals, 6 missions
May 27: Completed Screens 1-7 of 14, Functions: Intermediate Mission
Another advantage to sharing progress is it might be easier to find someone who is working on the same mission, or at a similar pace, as you are, so that sets it up nicely for working together on projects/helping each other with questions!
(And hopefully we can maintain an atmosphere of friendly competition on here - don’t judge others for how much or how little work they did one week - they might have a lot going on in their lives! Steady progress is what counts )
Let me know what you think about this idea!
I haven’t had much interaction with other DQ learners so far, and I hope this could help improve the learning experience on this platform!
-----------------------Edited May 31, 10:30PM------------------------------
Xinru’s DQ progress as of May 31:
9% Data Scientist Path (14% Data Analyst Path)
(I’m skipping around on the path a bit, hoping to get to the DS path and start doing ML projects soon because I’m working on my portfolio; also started going to networking events in May as well as a PT job so haven’t spent as much time on this as I hoped )
Python for DS: Fundamentals – 70% complete
Pandas and NumPy Fundamentals – 10% complete
Command Line: Beginner – 42% complete
Git and Version Control - 53% complete
SQL Fundamentals - 2% complete
My goal is 10-15 hours/week, hopefully finishing all of the above courses (and maybe start a couple of new ones) in June! Happy learning everyone!