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Discuss how a business can use supervised and unsupervised learning together to gain more insights about a problem it is facing.

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Supervised and unsupervised learning are...

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In the context of questions that help identify a business problem, asking "What factors continue to drive this problem?" will help determine the outcome of the ________.


A) stakeholder
B) impacted unit
C) root-cause analysis
D) timeline

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In the context of the 7-step marketing analytics process, which of the following steps should be followed after completing model evaluation and interpretation?


A) model deployment
B) model and results communication
C) business problem understanding
D) data preparation and feature selection

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In which step of the 7-step marketing analytics process are the unit of analysis and the target and predictor variables identified?


A) data understanding and collection
B) model development
C) model evaluation and interpretation
D) data preparation and feature selection

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In supervised learning, the testing dataset is used to


A) assess how well the algorithm developed using the training dataset estimates the target variable.
B) evaluate the final selected algorithm and see how well it performs on a third dataset.
C) "learn" the relationship between the predictors and the target variable.
D) select the model that most accurately predicts the target value of interest.

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Discuss the importance of knowledge of marketing analytics when an individual is searching for a job.

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Knowledge of marketing analytics is cruc...

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Google Dataset Search is useful in helping data enthusiasts find available data sources.

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Which of the following is true about the fifth principle in the SMART analytics principles?


A) The project should be trackable and the outcomes measurable.
B) The project should solve the analytics problem and align with the business objectives.
C) The project should be completed in a timely manner.
D) The project's goals should be specific and clearly defined.

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The goal of unsupervised learning is to model the underlying structure and distribution in the data to discover and confirm patterns in the data.

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The Department of Agriculture is a source of secondary data on ________.


A) consumer complaints regarding government's financial products and services
B) population, economy, housing, and geography
C) demographic characteristics such as gender, ethnicity, and citizenship
D) fruit and vegetable prices for over 153 commonly consumed products

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In the context of defining the right business problem, list the questions that need to be asked to determine context.

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1. What is the specific issue or challen...

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A marketing analyst at a gaming company is studying the effect of school holidays on sales of video games. In this study, what type of variable is school holidays?


A) a target variable
B) a dependent variable
C) an outcome variable
D) an independent variable

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Identify a valid difference between descriptive analytics and predictive analytics.


A) Descriptive analytics predicts new needs and opportunities, whereas predictive analysis reinforces existing beneficial practices.
B) Descriptive analytics mimics human-like intelligence, whereas predictive analytics identifies the best optimal decision.
C) Descriptive analytics can identify patterns in data, whereas predictive analytics can recognize objects from an image.
D) Descriptive analytics uses data to explain the past, whereas predictive analytics uses data to explain the future.

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When the target variable is categorical, supervised learning is called prediction.

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In the context of variable types in data measurement, explain the difference between numerical and categorical variables.

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Numerical variables are those that repre...

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