Getting asked for Advice on being a Data Analyst

I got a message on LinkedIn from a former colleague of my from Arizona Priority Care asking me:

Wanted to pick your brain on something. what do you think the outlook is for a data analyst? Debating a masters program in that and covers a few things but also includes certifications in SAS. Trying to decide if that will “pay off” in the long run or if I should explore different disciplines.

This was a really good question and I thought about it a bit. My response was:

I think Data Analysis (or Data Science, or Analytics) are all going to play a huge role in business going forward and that it would be a smart move to get a masters degree in one of those. I would avoid any certification programs though, just because they can be less rigorous and don’t seem to have the same weight as a full degree.

SAS is an interesting language, but I’d investigate what companies use SAS and make sure that you’d like to work for them (or in the industry). Many companies are turning towards open source Data Analytics tools (like R and Python). But in general, don’t get too hung up on the tool (SAS, Python, R) but really understand what you’re doing with them. Why would I choose this Standard Regression over Two Stage Least Squares. When do I wan to use a Logistics regression model and why. What does the output tell me, and what is it missing.

Developing that understanding will allow you to really standout.

Good luck with your decision. Let me know which direction you decide to go in,

Best,

Ryan

I hope that I was able to help my former colleague and was super happy that he reached out to me.

I wanted to write this into a more public form just in case in helps someone, or just in case I look back on it at some point and it helps me.

Mischief Managed

A few weeks back I decided to try and update my Python version with Homebrew. I had already been through an issue where the an update like this was going to cause an issue, but I also knew what the fix was.

With this knowledge in hand I happily performed the update. To my surprise, 2 things happened:

  1. The update seemed to have me go from Python 3.7.6 to 3.7.3
  2. When trying to reestablish my Virtual Environment two packages wouldn’t installed: psycopg2 and django-heroku

Now, the update/backdate isn’t the end of the world. Quite honestly, next weekend I’m going to just ditch homebrew and go with the standard download from Python.org because I’m hoping that this non-sense won’t be an issue anymore

The second issue was a bit more irritating though. I spent several hours trying to figure out what the problem was, only to find out, there wasn’t one really.

The ‘fix’ to the issue was to

  1. Open PyCharm
  2. Go to Setting
  3. Go to ‘Project Interpreter’
  4. Click the ‘+’ to add a package
  5. Look for the package that wouldn’t install
  6. Click ‘Install Package’
  7. Viola … mischief managed

The next time this happens I’m just buying a new computer