Final Exam >> Data Science Methodology
1.Select the correct statement.
1 point
2.______________________ is an important stage in the data science methodology because it clearly defines the problem and the needs from a business perspective.
1 point
Data Understanding
1.The first state of the ________________ is Business Understanding.
1 point
2.Business Understanding is the least important stage in the data science methodology because none of the other stages depend on it.
1 point
3.According to the videos, you can think of the _______________ and __________________ stages as a cooking task, where the problem at hand is a recipe, and the data to answer the question is the ingredients.
1 point
4.In the Data Collection stage, techniques such as descriptive statistics and _______________ can be applied to the data set, to assess the content, quality, and initial insights about the data.
1 point
4.In the Data Collection stage, techniques such as descriptive statistics and visualization can be applied to the data set, to assess the content, quality, and initial insights about the data
1 point
5.A training set is used for _________________.
1 point
6.A false-positive is what type of error?
1 point
6.A false-negative is what type of error?
1 point
7.The Data Understanding stage encompasses what?
1 point
8.In what stage would you properly format the data?
1 point
8.Select the correct statement about the Data Preparation stage.
1 point
9.Which of the following is NOT one of the final stages of the data science methodology?
1 point
10.Deploying a model into production represents the beginning of an iterative process from ________, then Model Refinement, and to Redeployment.
1 point
10.Deploying a model into production represents the end of the iterative process that includes Feedback, Model Refinement, and Redeployment.
1 point
11.Select the correct sentence about the data science methodology as explained in the course.
1 point
11.Select the incorrect sentence about the data science methodology as explained in the course.
1 point
12.What do data scientists typically use for exploratory analysis of data and to get acquainted with it?
1 point
12.Support vector machines and neural networks are what type of algorithms?
1 point
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