5 Data Science Resolutions for 2020

Key Takeaways

hello everyone can hear back with another video for you first I'd like to wish you a happy holiday season I know I love coming home and having my parents asked me what I do for the one hundred and fiftieth time and me having to explain data science to them that's always a fun activity and it hopefully helps me explain data science in these videos a little bit better I'd also like to wish you a Happy New Year's before New Year's comes I wanted to reflect a little bit on some of the ways that I would like to improve my data science in 2020 going forward so I'm gonna talk about five resolutions that I have for 2020 regarding my work I usually don't like to set resolutions in general I think that if you're gonna make a personal change a life change or a work change you should just go ahead and do it but I know that for a lot of people it doesn't necessarily work that way so this is my way of saying hey you know what would you like to do different in the next year and I'm also using this to hold myself accountable for the year going forward before we continue I'd love it if you'd leave in the comments section what your data science resolutions are for the upcoming year it's a fun exercise that will hopefully help you improve the quality of your work as well as usual if you enjoyed this content please hit that like button and if you want to see more videos at the intersection of data science and sports analytics please consider subscribing to my channel my first resolution is to improve the readability and replicability of my code I found that I was doing a lot of projects where I was the sole data scientist on it and when I was doing that a lot of my work got a little bit sloppy for some of these projects I had to pass the codebase off to engineers to actually implement it and I really had to go back and do a lot of rework when that was the case so the first time through when I'm reading my code I would really like to make it you know had more comments make a lot of the actual algorithms into functions or objects and to actually like instill that as a habit whenever I'm doing project the second resolution I have is to actually go to more data science focused events in my area I live in Chicago and Chicago has a lot of great you know events through either Chicago ml or some of these other you know self organized groups where I can meet other data scientists meet other people in the field and learn from them but also learn about really cool topics that are on the cutting edge you know they had a series on kubernetes they had a couple other series with some pretty neat technology that there were showcasing and I'd love to get more involved in that my third resolution is to more actively use github but also to really improve the read Me's of my github I know a lot of people actually go to my github playing numbers and I just kind of post the code there to supplement or to complement my videos but the readme section is very important it lets people know how they should be using the code to some of the background on the project and things like that and it's important for me to develop that especially for your guys's benefit my fourth resolution is to participate more on Kaggle I do a lot of my own projects where I collect my own data but if I really want to practice what I preach which is to always be doing projects and Kaggle is a great platform I should really be doing more of these and seeing if I can place you know it is a lot of overhead there's a lot of work associated with participating in a cago competition but I think that that's worthwhile and it also can help give more people exposure to the videos and the other content that I produce my last resolution is to actually productionize a lot more of the projects that I do in the short term in the past I've done a lot of projects where I just focus on research and analysis and produce a cool insight going forward I'd like to make a couple more things available via API or or via a web app on my website playing numbers where people can go through and actually experiment and you know interact with the analysis or the that I'm running so I'd really like to again get more capital using flasks and creating these production environments for my code part of this is getting a bit more familiar with AWS and some of the infrastructure there or Microsoft Azure etc all right so those are my five data science resolutions for 2020 and going forward again in the comments section I would love to hear what yours are that's a great exercise to hold yourself accountable and to make sure that you actually go about doing these things thank you so much for watching and good luck on your data science journey in 2020 and beyond