Data Science Methodology
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Final Exam
1.
Question 1Select the correct statement.
2.
Question 2______________________ is an important stage in the data science methodology because it clearly defines the problem and the needs from a business perspective.
3.
Question 3According to the videos explaining the Data Requirements and Data Collection stages of the data science methodology, you can think of the Data Requirements and Data Collection stages as a cooking task, where the problem at hand is a recipe, and the data to answer the question is what?
4.
Question 4In 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
5.
Question 5A training set is used for _________________.
6.
Question 6A false-positive is what type of error?
7.
Question 7The Data Understanding stage encompasses what?
8.
Question 8In what stage would you properly format the data?
9.
Question 9The final stages of the data science methodology are an iterative cycle between Modeling, Evaluation, Deployment, and ___________.
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Question 10Deploying a model into production represents the beginning of an iterative process from Feedback, then Model Refinement, and to what?
11.
Question 11Select the incorrect sentence about the data science methodology as explained in the course.
12.
Question 12As a data scientist what is typically NOT used for exploratory analysis of data?
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