FREE Master of Data Science Questions and Answers
Which of the aforementioned describes processed data?
Data merging, summarization, and subsetting are all aspects of processing.
What is the primary objective of statistical modeling?
The act or process of drawing logical inferences from premises that are known or presumed to be true is known as inference.
One of the fundamental abilities in data science is which of the following?
The presenting of data in a graphical or pictorial style is known as data visualization.
Which of the subsequent CLI commands also has a file renaming option?
Mv is short for move.
Identify the incorrect statement.
Data formatting is the arrangement of information in accordance with predetermined guidelines.
Which of the following uses information about one object to forecast the values of another?
A forecast is a forecast, but not always regarding the weather.
Which of the following should the question mark in the accompanying figure be used in place of?
Data science is an interdisciplinary field that includes drawing knowledge from vast amounts of structured or unstructured data.
What qualifies as a characteristic of raw data?
Data that has not been processed for usage is known as raw data.
Which of the following traits best describes a hacker?
Hacker is a pro in computer programming and problem-solving.
Which of the following languages is crucial for data science?
R is a free statistical computing and analysis program.
Which of the following methods also goes by the name "bagging"?
In statistical regression and classification, bagging is used.
What tasks are carried out by data scientists?
An employee or business intelligence (BI) consultant that excels at analyzing data, especially huge volumes of data, is known as a data scientist.
Identify the accurate statement.
Prototypical examples of data processing applications are accounting programs.
Which of the following analyses aids in determining how a variable change affects a system?
Causal analysis reveals the true cause of events, enabling targeted change activities.
Which of the following methods falls under the category of applied machine learning?
An technique to machine learning called "boosting" is based on the notion of building a very accurate predictor.
Which of the following approaches should be utilized when posing questions about data analysis?
There are many different facets and methods to data analysis.