Galvanize Week 8 & 9 Curriculum Wrap-up (Big Data & Data Viz)

This post is coming a bit later, whoops! After the break, a lot of the focus shifted over to capstone projects, and we hit the ground running. It was hard to get back into the swing of the classroom schedule when we returned- we had to have our preliminary proposals…

A quick post...

Earlier this week, I had the opportunity to chat with someone who is the director of data science for a well-known social app. I can't publicly share our discussion, but I do have a couple of take-aways that have been echoed in other conversations: Beef up the Github. A strong…

Galvanize Week 3: Regression

This week, we covered Linear Regression, Logistic Regression, cross-validation, and gradient descent. If you've taken Andrew Ng's Machine Learning course (video lectures here), then a lot of these concepts will be review. I found myself reading about more regularization techniques (we covered L1 & L2 this week). Regularization is a…

Galvanize Week 2: Probability & Statistics... then Multi-armed Bandit!

Most of this week's material overlapped with topics we had either been tested on in the admissions process or had completed in the pre-course assignments: basic set theory, conditional probability, Bayes theorem, distributions, A/B testing. It's a good week for those who haven't been exposed to probability & statistics…

Eric Koziol, Data Scientist at KPMG

Keeping in line with my goal to make this blog a good resource for career switches into data science, I'll also be posting interviews with people currently in data science. We'll discuss topics like: motivations for a career change different journeys to getting into data science what employers are looking…

Galvanize Week 1: Python & SQL

Done with our first official week! It was definitely more involved than Week 0 (optional week). We started our first morning with a welcome presentation & orientation, then getting to know the rest of our Cohort #15 group a bit more. There's 23 students (only 4 are girls- I was…

Galvanize Week 0: Pre-course Primer

Prior to the program start, Galvanize gave us a set of pre-course assignments to get everyone equally prepared for Day 1. It came with a forewarning that the work would take anywhere from 20-40 hours. It was comprised of 8 chapters, including: Python Linear Algebra SQL Pandas Probability Statistics Hypothesis…

Choosing a career switch through Galvanize

Cohort #15 of Galvanize SF’s Data Science Immersive program starts May 31! I’ve spent the last year exploring data science on my own and am excited to transition my career from structural engineering to data science. Leaving what I’d consider a comfortable job is pretty daunting, so…