Which approach to data analytics attempts to estimate or predict, for each unit, the numerical value of some variable using some type of statistical model Similarity matching Classification Data reduction Regression One of the most important aspects of data analytics that impacts tax is predictive analytics co occurrence grouping similarity matching data quality Which approach to data analytics attempts to identify similar individuals based on data known about them Similarity matching Clustering Co occurrence grouping Link prediction Which of the following best describes the goal of defining and addressing problems through statistical data analysis Multiple Choice recognize what is meant by data quality, be it completeness, reliability or validity perform basic analysis to understand the quality of the underlying data and its ability to address the business question demonstrate ability to sort, rearrange, merge and reconfigure data in a manner that allows enhanced analysis identify and implement an approach that will use statistical data analysis to draw conclusions and make recommendations on a timely basis With a goal to give organizations the information they need to make sound and timely business decisions, data analytics often involves all of the following except Multiple Choice technologies statistics growth databases Which of the following best describes the purpose of relational databases Multiple Choice To ensure that business rules are enforced To increase information redundancy in the organization To provide business information to data analysts To support business processes across the organization All of the following are included in the five steps of the ETL process except Multiple Choice Determine the purpose and scope of the data request Obtain the data Validate the data for completeness and integrity Scrub the data Which of the following best describes the purpose of a non key attribute Multiple Choice To ensure that each row in the table is unique To create the relationship between two tables To provide business information To support business processes across the organization The objective of data transformation is Multiple Choice To validate the data for completeness and integrity To load the data into the appropriate tool for analysis To identify and obtain the data from the appropriate source To identify which approach to data analytics should be used Relational databases help to reduce redundant data Which of the following is NOT a reason to reduce redundant data Multiple Choice It takes up unnecessary space It is expensive It increases the risk of data entry errors It is easier to perform analysis in spreadsheets Diagnostic analytics include all of the following except rev 06 13 2020 QC CS 216432 Multiple Choice Similarity matching Clustering Profiling All of the choices are correct Which approach to data analytics attempts to divide individuals into groups in a useful or meaningful way Multiple Choice Clustering Data reduction Similarity matching Co occurrence grouping Data profiling is used to assess data quality and internal controls and typically involves the following steps except Multiple Choice Filter the results Identify the objects or activity you want to profile Determine the types of profiling you want to perform Set boundaries or thresholds for the activity Which of the following best describes a dependent variable Multiple Choice Output Input Application Operation mark the split between one class and another Multiple Choice Decision trees Identifying questions Decision boundaries Linear classifiers All of the following are examples of a supervised approach to evaluation data except Multiple Choice Causal modeling Data reduction Link prediction Regression Red, Yellow, and Blue would be best described as an example of Multiple Choice Nominal data Ordinal data Structured data Continuous Data Which type of chart is preferred for when quartiles, median, and outliers are required for analysis and insights Multiple Choice Scatter plots Box and whisker plots Line chart Pie chart The following are typical examples of nominal data except Multiple Choice Marital status State of residency Temperature Nationality

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Posted on Jul 15, 2024

Which approach to data analytics attempts to estimate or predict, for each unit, the numerical value of some variable using some type of statistical model?

Similarity matching.

Classification.

Data reduction.

Regression.

predictive analytics.

co-occurrence grouping.

similarity matching.

data quality.

Which approach to data analytics attempts to identify similar individuals based on data known about them?

Which of the following best describes the goal of defining and addressing problems through statistical data analysis:

Multiple Choice

recognize what is meant by data quality, be it completeness, reliability or validity
perform basic analysis to understand the quality of the underlying data and its ability to address the business question
demonstrate ability to sort, rearrange, merge and reconfigure data in a manner that allows enhanced analysis
identify and implement an approach that will use statistical data analysis to draw conclusions and make recommendations on a timely basis

With a goal to give organizations the information they need to make sound and timely business decisions, data analytics often involves all of the following except:

Multiple Choice