Post-workshop survey

In order to understand the impact of this training, we are collecting information about attitudes and skills related to the content before and after the training. Your responses will be recorded anonymously. Your computer's IP address will not be recorded.
You are also not expected to know these skills beforehand. Otherwise, why would you come to this training?!

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* 1. When are you taking this survey?

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* 2. Please give us some feedback about the overall training event.

  Strongly disagree Disagree Neither agree nor disagree Agree Strongly agree
The amount of information covered was reasonable for the allotted time.
The overall atmosphere was welcoming.
I learned skills that I will be able to use in my work.
I would recommend this training to a friend or colleague.
The training was worth my time.

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* 3. How did you perceive the pace of the training?

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* 4. How was the balance of lecture to hands-on work?

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* 5. Please select how you felt the instructor performed.

  Strongly disagree Disagree Neither agree nor disagree Agree Strongly agree
Instructor was enthusiastic.
Instructor was considerate.
Instructor was a good communicator.
Instructor gave clear answers to your questions.

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* 6. How has your knowledge of the following changed after the workshop?

  Much worse Somewhat worse Unimproved - neither worse nor better Better Much better N/A
Explain the purpose of machine learning.
Compare and contrast supervised and unsupervised learning.
Describe two kinds of supervised learning.
List data requirements for scikit-learn.
Communicate and explain results from machine learning.

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* 7. How has your confidence in doing the following tasks changed after the workshop?

  Much worse Somewhat worse Unimproved - neither worse nor better Better Much better N/A
Load data with pandas.
Build classification and regression models.
Use the scikit-learn API.
Perform data preprocessing.

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* 8. Is there anything else you'd like to add?

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