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Where you get the statistics that shows real value to coding camp, despite a lack of tech passion is when you teach modern data science tools to "domain users"

Where you get the statistics that shows real value to coding camp, despite a lack of tech passion is when you teach modern data science tools to "domain users" currently stuck within the limitations of excel(The only successful low code platform in the market), or web skills to existing content managers, but that is a much smaller market then trying to push the vision of easy money to youngsters still trying to break into the job market as something other then baristas or line cooks. And the companies that chased the market for youngsters without any real passion or plan is now running out of customers due both the the fact credit is now tight and that the publics infatuation with the tech industries is waning. And from the looks of it BloomTech looks to definitely target the market for youngster as their primary revenue stream.

miketery 4y ago
This is excellent insight. In a previous role, on the side I ran an SQL training for the customer success team, and that was fun and beneficial. What kind of curriculum do you think is best for these folks coming from excel or the other BI tools? Is python jupyter too advanced? It feels like we’re still early in the tooling for “no code”.
- Stranger43 4y ago
  SQL is definitely where the curriculum should start. and Jupyter(or in reality pandas and matplotlib) is definitely not too advanced unless you make it so by talking machine learning and complex statistical modelling. What gets used in the organizations that do try and exit excel is typically batch jobs written in either python(pandas) or powershell taking data from one or more databases for display in a reporting framework like tableau. no code is im my view basically a myth when we start dealing with systems more complex then what the average high school student can create as a spreadsheet, as the effort in learning the low code platforms idiosyncrasies are similar to those needed to use an modern scripting language.

miketery 4y ago

This is excellent insight. In a previous role, on the side I ran an SQL training for the customer success team, and that was fun and beneficial. What kind of curriculum do you think is best for these folks coming from excel or the other BI tools? Is python jupyter too advanced? It feels like we’re still early in the tooling for “no code”.

Stranger43 4y ago
SQL is definitely where the curriculum should start. and Jupyter(or in reality pandas and matplotlib) is definitely not too advanced unless you make it so by talking machine learning and complex statistical modelling. What gets used in the organizations that do try and exit excel is typically batch jobs written in either python(pandas) or powershell taking data from one or more databases for display in a reporting framework like tableau. no code is im my view basically a myth when we start dealing with systems more complex then what the average high school student can create as a spreadsheet, as the effort in learning the low code platforms idiosyncrasies are similar to those needed to use an modern scripting language.