Google's engEDU team (engineering education) wanted to convert its Machine Learning Bootcamp for employees into a self-study experience available to the public. Data Preparation is a core course in this series.
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After a needs analysis, I presented my recommendations to the stakeholders in a design doc that included learning objectives, assessments, instructional strategy, and an evaluation plan. I re-structured the workshop content, fleshed out examples with SME input, wrote practice questions, and designed visuals.

I also facilitated in-person pilot testing of the beta version. Participants used a guide I created to give verbal feedback after their review and also filled out an online survey. Feedback from pilot testers was very positive.

The beta feedback guide I created was so useful in helping us get constructive, specific feedback from target learners that the wider team began to use it for other course pilot tests.