TLDR: This guide puts together a three-year data panel (also known as longitudinal data) using public data available from the US Department of Education. Use the techniques in this article to prepare data that you can analyze on your own. Tell me in the comments what other federal data sources I should build similar guides for next.
Are you any of the following?
Across LinkedIn and Facebook, data science users report preferring LinkedIn as the place to go when looking for others in the field they know, like, and trust.
Even among Twitter users, LinkedIn is the second most preferred platform.
Across LinkedIn and Facebook, data science users report preferring LinkedIn as the place to go when looking for others in the field they know, like, and trust.
If you are looking to enter or level up as a data professional, let me know. You can reach out my way on any of these three platforms.
If you like what I have to say, find more at: adamrossnelson.medium.com. Check out my Udemy courses. …
TLDR: Now that I have ProWritingAid.com it is time for me to go back to my GitHub profile, find those ReadMe.md
files (plus other markdown files) and fix my atrocious writing! This article contains affiliate marketing links.
Confession, as a data scientist, I do not always follow my own advice. I constantly tell myself and others that the most important skill as a data scientist is to communicate. This includes writing well.
One of my favorite tweets shows the importance of writing well. This tweet shows how modest efforts and self-editing can improve your presentation.
To find evidence that I do not always follow my own advice, I looked no further than my GitHub repositories. They are full of incorrect spelling, split infinitives, and other writing problems. I recently wrote about these common writing problems. …
TLDR: This article previews a course I recently made available on Udemy. If you’re a classroom teacher (at any level), scroll to the bottom of this article where I discuss offering this course to you and your students for discounted rates. On a first-come-first serve basis, a select few classrooms will be eligible to enroll in the course for no charge.
Everyone needs to start some place. This Data Science Quick Start course is for folks who think they might be interested in data science but are not yet sure. …
Communicating about your work, your findings, and other aspects of your science is more difficult than many appreciate. More difficult than I once did! I base this article on the written communication errors I have made in the past. Listed in alphabetical order.
This one sounds harsh to my ears. For better or worse, I can find this word in multiple dictionaries. There is an alternate choice that has been in use much longer: administer.
An advantage of using administer over administrate is that the conjugations of administer are more regular and more well understood:
Think about, for example: Administer, Administering, Administered, Administers. …
Some data driven thoughts for anyone that wonders how important salary is in the mind of candidates that are or who have recently participated in a job search. I recently conducted and published the results of a poll that indicate salary is not the most important consideration on the mind of job seekers. A smart candidate will carefully consider all aspects of a job offer including health insurance, employer contributions to retirement, paid leave (vacation, sick time, time to care for sick family), the opportunity for tuition support, etc.
The problem for candidates, who might not consider salary to be the most important factor when evaluating a job offer, is that recruiters often demand to know a salary expectation during the first conversation. Sometimes even before the first conversation. And worse, recruiters will screen candidates based on salary. A companion article talks about why asking and screening questions on the basis of salary is a mistake. …
Whoa, the blogs and support forums are blowing up with users that are having trouble getting Anaconda to install on a Mac.
Anaconda Mac Installation that will (likely) be glitch free.
These two steps will help you avoid seeing: -bash: jupyter: command not found
after installing Jupyter Notebook.
Download the command line installer. Here is what that looks like:
For anyone interested in examining and improving how you write. For audiences who are technical or non-technical, junior or executive, academic or colloquial, business professional or creative casual.
By giving my take on the essay form, I hope others will also consider using this form to improve their writing.
Not long ago a reader of one of my articles over at Towards Data Science made a comment on my article’s conclusions. The reader wrote ‘You already told us this’ (gisted). After pushing past the humbling surprise that anyone cared enough to read my entire article. Also, that any cared enough to give feedback. I resisted the urge to comment back “Umm, yeah. You’re point? …
It’s a mistake that will potentially cost the opportunity to connect well with candidates that really want to work for you. It’s a mistake that will render your company vulnerable to hiring candidates who will be easily poached away by other competing employers. It involves making a faulty assumption about candidates. The faulty assumption is that salary is a candidate’s most important consideration in the job search.
I recently conducted a poll using multiple social media platforms. The combined polls collected 343 responses.
Less than half of the respondents indicated that salary was their most important consideration (47%). This means that more than half of the respondents may consider at least one other factor as more important (53%). …
While speaking with current, former, and aspiring data scientists I hear a common complaint. Recruiters will screen you based on your salary history or your salary expectations.
I’m troubled when recruiters do this, not only for the candidate’s sake, but also for the recruiter’s sake. To drive the conversation a bit further, I conducted a poll using social media.
I ran this poll in late October and early November of 2020. I posted the poll on LinkedIn, Twitter, and Facebook. I used hashtags, keywords, and forums that I thought would encourage responses from those that work in data science or other research oriented professions. …