@uscensusbureau Please stop doing this. Your chart makes it look like retail inventories have tripled when they have not. A bar chart is not an acceptable chart choice if you want a non-zero y-axis.
@CalAddison@PhDemetri No, data science is not dead.
The standard day in a life of a data science is changing, but there is still a key role for those who understand how to analyze data and can apply algorithms.
@uscensusbureau@uscensusbureau This bar chart is extremely deceiving since the y-axis does not start at zero! It looks like inventories have more than doubled in your chart, but actually they are up 4%
During my data science program, Git was taught as part of software engineering principles in week two. I still couldn't do basic Python, and had not figured out how to sum a column in a DataFrame.
https://t.co/uAbUFM9Xbh
@emil_priver Learning Git through a project makes sense
Id like to see more project based learning in Uni, letting students explore possibilities
I dont see a lecture on something like Git practical, though
It wont stick
The prof whizzed around advanced git concepts like branching and merge conflicts on the command line. I left this half day (on a Saturday) section feeling absolutely hopeless, dejected and confused.
@infornomics@tcarpenter216 Cube to me specifically means multidimensional (MDIM) cube, but those are largely a thing of the past. We use tabular models, but the term "cube" is still commonly used to refer to them.
I don't think we will ever get our business users to use the term semantic models
@Qualtrics why do unsubscribes using your platform take *10 business days* ? What technology possibly requires 10 business days to remove my email from a table
Prompt engineering is a skillset and mindset that we should all learn to become more efficient at our jobs. But prompt engineering in isolation doesn't sound like it will be an effective hiring strategy.
This tweet might not age well... but I do not buy into the concept that "prompt engineer" is a role that companies will hire for.
Generative AI's super power is combining an individual's domain knowledge and industry expertise with it's superhuman computational abilities.
Hiring a generalist "prompt engineer" feels silly as a prompt engineer would miss this domain knowledge or industry expertise to know when Generative AI is making a mistake.