A data scientist for an online retailer is given the assignment of predicting what a customer will be interested in based on past purchases. The data scientist is given access to six months of purchasing history from 1000 customers. What task does the data scientist do next? Give a presentation of the results to the targeted advertising team. Run classification models to predict which product characteristics are likely to appeal to each customer. Create scatter plots of each pair of variables to determine which are likely to be correlated. Reformat the data into a csv file and remove rows with missing data. The task is an example of which step in the data science lifecycle? Pick î

Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
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**Assignment Context for a Data Scientist:**

A data scientist for an online retailer is given the assignment of predicting what a customer will be interested in based on past purchases. The data scientist is given access to six months of purchasing history from 1000 customers.

**Question:**
What task does the data scientist do next?

1. Give a presentation of the results to the targeted advertising team.
2. Run classification models to predict which product characteristics are likely to appeal to each customer.
3. Create scatter plots of each pair of variables to determine which are likely to be correlated.
4. Reformat the data into a CSV file and remove rows with missing data.

**Additional Question:**
The task is an example of which step in the data science lifecycle?

**Response Options:**
- A dropdown menu allows the selection of a lifecycle step.
Transcribed Image Text:**Assignment Context for a Data Scientist:** A data scientist for an online retailer is given the assignment of predicting what a customer will be interested in based on past purchases. The data scientist is given access to six months of purchasing history from 1000 customers. **Question:** What task does the data scientist do next? 1. Give a presentation of the results to the targeted advertising team. 2. Run classification models to predict which product characteristics are likely to appeal to each customer. 3. Create scatter plots of each pair of variables to determine which are likely to be correlated. 4. Reformat the data into a CSV file and remove rows with missing data. **Additional Question:** The task is an example of which step in the data science lifecycle? **Response Options:** - A dropdown menu allows the selection of a lifecycle step.
A data scientist for an online retailer is given the assignment of predicting what a customer will be interested in based on past purchases. The data scientist is given access to six months of purchasing history from 1000 customers.

What task does the data scientist do next?

- [ ] Give a presentation of the results to the targeted advertising team.
- [ ] Run classification models to predict which product characteristics are likely to appeal to each customer.
- [ ] Calculate statistics for each pair of variables to determine which are likely to be correlated.
- [ ] Open up a csv file and remove rows with missing data.

This task represents which step in the data science lifecycle?

- Step 1: Gathering the data
- Step 2: Cleaning the data
- Step 3: Exploring the data
- Step 4: Modeling the data
- Step 5: Interpreting data
Transcribed Image Text:A data scientist for an online retailer is given the assignment of predicting what a customer will be interested in based on past purchases. The data scientist is given access to six months of purchasing history from 1000 customers. What task does the data scientist do next? - [ ] Give a presentation of the results to the targeted advertising team. - [ ] Run classification models to predict which product characteristics are likely to appeal to each customer. - [ ] Calculate statistics for each pair of variables to determine which are likely to be correlated. - [ ] Open up a csv file and remove rows with missing data. This task represents which step in the data science lifecycle? - Step 1: Gathering the data - Step 2: Cleaning the data - Step 3: Exploring the data - Step 4: Modeling the data - Step 5: Interpreting data
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