Part 4 of a New Graduate’s Guide to Becoming a Data/Business Analyst
If you are reading this in 2021, you may ask yourself, how can I network in a pandemic? If I can’t leave the house for fear of contracting a deadly virus, how can I possibly network?
If you’re a minority in the tech field of any kind, use it.
How to find professional groups
Use smaller job boards — the smaller, the better
Are you a woman? Gay? What about Black? Okay, well maybe, Asian? Do you live in a city or near one? (Seriously. Any city…
It’s been hard, man
Two weeks ago, I ordered Pad See Ew. It had been a hard day, a long day, an anxious day. I had spent too much time alone and then a terrifying ten minutes inside a small, badly ventilated office with unmasked people in an effort to print a single pdf document. So naturally, on my way home I ordered comfort food.
The restaurant was closing and one of the workers was wiping down tables as I waited. She had a round face and kind, dark brown eyes. She asked me if I had just finished work…
Part 3 of a New Graduate’s Guide to Becoming a Data/Business Analyst
Using LinkedIn — How to make your profile
Post on LinkedIn, a lot.
Use your alumni network
Informational interviews and how to do them effectively
This is Part 3 of a New Graduate’s Guide to Becoming a Business/Data Analyst.
This is one of the pieces of advice that any half-decent article about finding a job includes, but I cannot emphasize it enough: Use LinkedIn.
1. Your LinkedIn page is almost always the first impression that a potential employer or networking contact gets of you.
You’ve probably heard a lot about the importance of projects.
Projects are particularly crucial for a recent graduate applying to be a data analyst or a business analyst because they demonstrate proficiency in skills that you probably didn’t use outside of a classroom context.
As much as I might want to list my Data Structures class as experience because I used Java during it, please for the love of god, do not put any computer science labs or classes on your resume. Not only is putting labs on the internet likely directly against your school’s honor code…
Unemployment is hard. Use time management to help you through it.
While this is article stands alone, this is also Part 5 of New Graduate’s Guide to Becoming a Business/Data Analyst.
Make a daily schedule
Look, I’m a not routine person. But when you’re living in your parents’ basement in…
Part 1 of A New Graduate’s Guide to Becoming a Data/Business Analyst
What degree should I have?
What experience should I have?
Skills (to be continued in the next post)
This is the first blog in a series titled “A New Graduate’s Guide to Becoming a Data/Business Analyst”.
This series is written to help recent college graduates learn how to become a data or business analyst, particularly ones who are graduating during the coronavirus pandemic. …
It’s strange to walk the grounds of my old high school this fall. In the past, visits had been brief glimpses of the past moving stubbornly forward. Different faces, same faces, all housed together in a building I used to know. Did I really look that young? Is that a saxophone in my old locker?
Now that it’s a pandemic, it’s easier. There aren’t any pesky whippersnappers hogging the building and reminding me that I do not belong. The red-yellow leaves smell fresh with rainwater, yet earthy too, as if I can already smell them melting into the ground. …
Differential privacy is a data anonymization technique that’s used by major technology companies such as Apple and Google. The goal of differential privacy is simple: allow data analysts to build accurate models without sacrificing the privacy of the individual data points.
But what does “sacrificing the privacy of the data points” mean? Well, let’s think about an example. Suppose I have a dataset that contains information (age, gender, treatment, marriage status, other medical conditions, etc.) about every person who was treated for breast cancer at Hospital X. In this case, a data point is a row of a spreadsheet (or…
I began coding my website on a whim sometime in August. It’ll be fun, I thought. I had seen a few data science blogs built with R using blogdown, and it looked pretty simple to do. Before I knew it, I was learning how to use Hugo, a static website generator.
A deep data analysis of the 2018 midterm general election.
Swing states — states where the two major political parties have roughly equal levels of support among voters — are crucial in determining the winner of American presidential races. Since most states give all of their electoral votes to a single party, sometimes only a few thousand votes in a swing state can determine the winner of the entire national presidential election, such as in the 2016 election.
While both Democrats and Republicans have equal support overall among voters in swing states, I want to understand if this dynamic extends…