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My blog on data science

Perfection is the enemy of good

I heard this phrase once a few years ago in a job interview and it’s stuck with me ever since. The idea is that you don’t need to strive for perfection and that creating something good is….good enough. This resonated with me for a while, I believe in most aspects of my life I strived for perfection most likely Everything was either wrong or right, complete or incomplete there was no middle ground.

I'm now a data scientist!

TLDR; I went to a recruitment hackathon 6 months ago and got offered a job. Now part of one of the coolest data science teams around As the title explains, I started a new job two months ago as a junior data scientist! I spoke to a friend of mine when I got the job and he said I should write a blog post on it, so here it is.

SQL Part 2 of 4

I said I’d continue these posts this year and that’s what I plan to do! A sequel to my post on SQL! (My wife thought this was a terrible joke) Now let’s talk about SEGMENTATION! Segmentation isn’t something I found as intuitive as basic SQL. You can generally figure out what a basic SQL statement is going to do before it runs. Have a look at my last SQL post for an example.

New Year, New post!

We’re three weeks into January so guess it’s unusual to write a new year post so late into the month. However, I recently had a twitter conversation with John Mackintosh who is a data analyst for the NHS up in Scotland. If you look at his blog site you can see that I based my blog style on his. Long story short, John encouraged me to write more so that’s what I plan to do

G1 Climax

Here’s a post that is slightly different to the other posts that I’ve done so far. Rather than having a step by step tutorial on how to do something. The below allows me to work on my python skills and explain a few things as I go along. People who work in Data Science tend to work in programming languages R or Python. I’ve been learning both languages over the last two years and at the moment I’m trying to get better at my Python.

Pip install guide[Mini-Post]

I will get back to the SQL posts but thought I would post something that could be useful to others. If you want to use Python for Data Science you will need additional python libraries. I don’t have a huge understanding of command line functions and I found it a bit difficult to find a step by step guide on how to install python libraries . My wife(the doctor) thought that PIP was something else medical related from a scandal a few years ago.