astromaddie

Manhattan is still a living, breathing, city without empty buildings or fake grocery stores. Even the "outdoor shopping mall" on Times Square is a real commerce district that millions of people use.

Look at the lights in that apartment building on the right. Notice how many of them are on in a consecutive row or column. You'll never see that in an apartment high-rise here; that looks like the occupants were probably (lazily) "scattered" throughout the building to give the illusion of higher occupancy.

Hey guys! OneNote is a really cool piece of tech, and I've been starting to get used to switching over to it for notes at work (the cross-syncing is super useful for my laptop and tablet).

Out of curiosity, while there's obviously no "wrong" way to use software like OneNote, it's a pretty versatile blank slate-- so, what's the most innovative, creative, or just flat-out bizarre usage of OneNote that has surprised you from users or test groups?

I can actually give some help to this! I have a physic BS and four years' experience in astronomy research, much of which was data science-related. After 7 months of job hunting and interviewing, I start my first data scientist job on Monday!

Basically, create a resume (not a CV) that de-emphasises your research material (which wards people off) and exemplifies the pure at a science you did. Talk about accomplishments, not tasks (e.g., "optimised a computer model using linear regression forecast modelling" rather than "performed linear regression modelling"). The bulk of your resume should focus on things you achieved, and unlike a CV, keep your resume at a page or so in length. ALWAYS attach a cover letter that will quickly gab their interest and defend why you, lacking direct work experience, are more than qualified for the position. And then, if you get an interview, consider they already think you're worth pursuing so you should relax, charm them, and make a persuasive argument for how your experience applies.

Also, I recommend learning R, SQL, and SAS in your free time.

Ninja edit: You'll face rejection. A lot. Even for positions you are ABSOLUTELY qualified for. Data science is a new field and far too many companies just want to hire business/economics graduate. But just keep on it, look for more startup-y companies that hire based on intelligence rather than experience, and you'll find something!

Well, it looks like Tableau has a python API!

Then there's d3py, a python interface for d3.js, and PyHighcharts, a python interface for Highcharts! I've never used them though, all my data visualisation has been done using pyplot and matplotlib.

Come over to the dark side! There's way more money here. Haha.

Continue working on Python, and learn SQL, for sure! SQL isn't very difficult to learn, and it's a really big one in a lot of companies, because it allows easy manipulation with relational databases. And even though it's so similar to Python, learn R too. Don't invest too much time there, but companies are impressed when they see you can teach yourself those languages easily, and they're often more familiar with R than Python.

Thanks! I'm excited to start, and it' such a belief to know I'm finally succeeding in making the transition. I was starting to give up hope! Good luck crossing over, too!