data science methodology coursera week 3 quiz answers
From Deployment to Feedback
1. Feedback is not required once the model is deployed because the Model Evaluation stage would have assessed the model and made sure that it performed well.
- True
- False
2. A data scientist determines that building a recommender system is the solution for a particular business problem at hand. This is represented by the Modeling stage of the data science methodology?
- True
- False
3. A car company asked a data scientist to determine what type of customers are more likely to purchase their vehicles. However, the data comes from several sources and is in a relatively “raw format”. What kind of processing can the data scientist perform on the data to prepare it for the Modeling stage?
A. Feature Engineering.
B. Transforming the data into more useful variables.
C. Combining the data from the various sources.
D. Addressing missing invalid values.
- Only options A and D are correct.
- Only option C is correct.
- None of the options are correct.
- All of the options are correct.
4. Which of the following represent the two important characteristics of the data science methodology?
- It has no endpoint because data collection occurs before identifying the data requirements.
- It is a highly iterative process and immediately ends when the model is deployed.
- It is a highly iterative process and it never ends.
- It immediately ends when the model is deployed because no feedback is required.
5. For predictive models, a test set, which is similar to – but independent of – the training set, is used to determine how well the model predicts outcomes. This is an example of what step in the methodology?
- Data Requirements.
- Analytic Approach.
- Deployment.
- Model Evaluation.
6. What are three important reasons that data scientists should maintain continuous communication with business sponsors throughout a project?
- So that business sponsors can review intermediate findings.
- Actually, data scientists do not need to maintain a continuous communication with business sponsors and stakeholders.
- So that business sponsors can provide domain expertise.
- So that business sponsors can ensure the work remains on track to generate the intended solution.
Final Exam
7. The first state of the ________________ is Business Understanding.
- Computer modeling methodology
- Data science methodology
- Data analysis methodology
- Data collection methodology
8. Business Understanding is an important stage in the data science methodology because;
- It clearly defines the problem and the needs from a business perspective.
- It generates the data that will be used in the study.
- It ensures that the work generates all possible solutions.
- It is determined by the analytical approach you want to use.
Shuffle Q/A 1
9. Which of the following analogies is used in the videos to explain the Data Requirements and Data Collection stages of the data science methodology?
- You can think of the Data Requirements and Data Collection stages as building an outpatient clinic for patients with congestive heart failure, where the medical condition is the data and the patients are the ingredients.
- 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 the ingredients.
10. In what stage can techniques such as descriptive statistics and visualization applied to the data set, to assess the content, quality, and initial insights about the data?
- The Business Analysis stage
- The Data Requirements stage
- The Data Analysis stage
- The Data Collection stage
