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CodePath & Alteryx - Predictive Modeling, Again!

Alteryx Alumni (Retired)

A huge Thank You! to the awesome students and staff at CodePath for participating in another Alteryx SparkED Workshop.

(If you missed the inaugural session by my friend and colleague @bpatel of the SparkED team, definitely check it out here.

Although much of the hour was spent going through building a predictive model using educational and income data, we touched on a lot more than just the workflow.


A few of the initial talking points we addressed were:

  1. What is Alteryx? What problem(s) does it solve?
  2. Is it really that easy to automate the cleaning, transformation, and preparation of data?

Then we jumped into the more advanced notion of predictive modeling:

  1. How can I use Alteryx to create a predictive model in just minutes?
  2. What’s going on under the hood? How are these models built?
  3. How can I tweak, optimize, and build on top of Alteryx models?

On the more existential side, a few ideas we discussed were:

  1. What does a career in data science/engineering look like?
  2. How can I leverage my computer science skills in the data field?
  3. How does a no-code/low-code platform like Alteryx help add to my pre-existing technical skillset?

For those who missed it, or for those who didn’t get enough the first time, you can find a link to the recording here. As well, you can find attached both input data files used during the demo.

Happy solving! 😊