the capacity for evaluation of uncertain, hazardous, and conflicting information
Apologies if you heard the story before but the donuts represent the sweet nudges from the universe that inspire a visualization, a story, or even a book.
For me, the data doesn’t appear from nothing. I need a curiosity or a knowledge gap that yearns for information. This new age of communication and learning needs a placeholder for the live workshops and meetings so many of us relied on.
This blog remains for all of us. I use it as an archivist and keen observer. I can turn over ideas, save thoughts, and stimulate conversations to encourage collaboration or at the very least--curiosity.
The persistent pause of “life as we knew it” creates opportunities to examine process. I have brought a few more tools on board and encourage you to explore as well.
Introducing datalchemy...
I started a little school over on Teachable. I wanted a centralized hub to create answers to some of the questions I get each month. I think the price point is pretty favorable but if you are in need of a different way to participate--please let me know.
So far, reviews are favorable. The net is intentionally wide for you to gain the most amount of information in the shortest time. Additional classes are being built around specific topics so if you want that deeper dive--there you go.
My objective is not to trick you into learning how to code in Python. I might share useful code tidbits here and there for quick free alternatives to software that might require an investment. As I discover new tools and platforms like Loom, Descript, or ArcGIS they will be in the background in courses I build using them but if you want to learn how to use them--I will have your back.
Two more things:
1. I built a new lesson into an existing course when a student had a specific need. The courses will be fluid and responsive like that--the platforms are all new to me too. If you don’t see it, ask for it.
2. Here is the big finish. I built these courses because skill development is one thing. What to do with the skill once you return to your desk is quite another. Maybe it was just me but all of the accolades in a Columbia School of Engineering Executive Online course in Applied Analytics wasn’t much help when I needed a work flow to create a sentiment analysis. I had a bunch of Python training but not much around the application side. Same thing with data visualization software or analyzing giant datasets--where to start.
Well, I humbly suggest you start here.
True genius resides in the capacity for evaluation of uncertain, hazardous, and conflicting information--Winston Churchill