Question12Max. score: 2.00To glean insights from the data, many analysts and data scientists rely on ___.Data miningData visualizationData warehouseAll of above
Question
Question12Max. score: 2.00To glean insights from the data, many analysts and data scientists rely on ___.Data miningData visualizationData warehouseAll of above
Solution
The answer is "All of above".
Here's why:
-
Data Mining: This is the process of discovering patterns in large data sets involving methods at the intersection of machine learning, statistics, and database systems. It's an essential tool for data analysts and scientists.
-
Data Visualization: This is the representation of data or information in a graph, chart, or other visual format. It communicates relationships of the data with images. This is another important tool for data analysts and scientists as it helps to easily understand complex data.
-
Data Warehouse: This is a large store of data collected from a wide range of sources within a company and used to guide management decisions. It further aids in the data analysis process.
So, all of the above options are tools and techniques that analysts and data scientists rely on to glean insights from data.
Similar Questions
To glean insights from the data, many analysts and data scientists rely on ___.Data miningData visualizationData warehouseAll of above
Question5Max. score: 2.00Data Analytics uses ___ to get insights from data.Statistical figuresNumerical AspectsStatistical MethodsNone of aboveYour answer has been saved.Reset Answer
Question14Max. score: 2.00Tableau is a ___ tool.VisualizationAnalyticalData ExplorationAll of the mentioned above
__________describes the data contained in the data warehouse.Question 15Answera.Relational datab.Metadata.c.Operational datad.Informational data.
Question10Max. score: 2.00Which of the following is not type of Data Analytics?DescriptivePrescriptiveDiagnosticPragmatic
Upgrade your grade with Knowee
Get personalized homework help. Review tough concepts in more detail, or go deeper into your topic by exploring other relevant questions.