Question: Establishing a baseline with your data is a very important step in understanding what your data is telling you. While the established baseline may not

Establishing a baseline with your data is a very important step in understanding what your data is telling you. While the established baseline may not be exactly accurate with new data updates, it gives you a basis from which to predict where the data is likely to fall. Many professionals in the field use baselines to be able to give organizations the best guidance on next steps. Being able to make a good decision with your organization starts with knowing where you are and being better able to predict where you will be going.
Prompt
The HR department of your organization wants to measure how well their employees are doing with the provided training. Specifically, HR wants to know if the training has an effect on either employee performance or job satisfaction ratings. Based on those results, HR would like to know if more training would result in even higher ratings in employee performance and job satisfaction.
In this assignment, you will establish a baseline to be able to predict your outcome.
Specifically, you must address the following rubric criteria:
Use Python and the HR Training Data set, located on the Apporto desktop in the DAT 430 folder, to create a model of trainings impact on employee performance and job satisfaction.
Using this model, create a visualization that represents your predictive outcomes from the scenario.
Explain the logic and reasoning for your hypothesis, including the outcomes of your analysis.

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