Introduction To Data Science MCQ

Test your knowledge with important Introduction To Data Science MCQ and their applications. These MCQs are beneficial for competitive exams too. Explore 30 + more Introduction To Data Science MCQs at Bissoy

• Which of the following principle is incorrectly represented in the below figure?<br><img src="/images/question-image/data-science/introduction-to-data-science/1696508105-1-125.jpg" title="Introduction to Data Science mcq question image" alt="Introduction to Data Science mcq question image">
  ক

  Show Comparisons

  খ

  Integrate Evidence

  গ

  Describe Evidence

  ঘ

  None of the mentioned
• Which of the following principle characteristic is odd man out in the below figure?<br> <img src="/images/question-image/data-science/introduction-to-data-science/1696508401-1-124.jpg" title="Introduction to Data Science mcq question image" alt="Introduction to Data Science mcq question image">
  ক

  Principle 1

  খ

  Principle 2

  গ

  Principle 3

  ঘ

  Principle 4
• Which of the following type of data science question is missing in the figure?<br> <img src="/images/question-image/data-science/introduction-to-data-science/1696508774-1-122.jpg" title="Introduction to Data Science mcq question image" alt="Introduction to Data Science mcq question image">
  ক

  Correlative

  খ

  Exploratory

  গ

  Relative

  ঘ

  None of the mentioned
• Which of the following term is appropriate to the below figure?<br> <img src="/images/question-image/data-science/introduction-to-data-science/1696508996-1-121.jpg" title="Introduction to Data Science mcq question image" alt="Introduction to Data Science mcq question image">
  ক

  Large Data

  খ

  Big Data

  গ

  Dark Data

  ঘ

  None of the mentioned
• Which of the following language should be replaced with the question mark in the below figure?<br> <img src="/images/question-image/data-science/introduction-to-data-science/1696509070-1-120.jpg" title="Introduction to Data Science mcq question image" alt="Introduction to Data Science mcq question image">
  ক

  Java

  খ

  PHP

  গ

  COBOL

  ঘ

  None of the mentioned
• Which of the following analysis should come in place of question mark in the below figure?<br> <img src="/images/question-image/data-science/introduction-to-data-science/1696508493-1-119.jpg" title="Introduction to Data Science mcq question image" alt="Introduction to Data Science mcq question image">
  ক

  Inferential

  খ

  Exploratory

  গ

  Causal

  ঘ

  None of the mentioned
• Which of the following design term is perfectly applicable to the below figure?<br> <img src="/images/question-image/data-science/introduction-to-data-science/1696509161-1-118.jpg" title="Introduction to Data Science mcq question image" alt="Introduction to Data Science mcq question image">
  ক

  Correlation

  খ

  Confounding

  গ

  Causation

  ঘ

  None of the mentioned
• Which of the following would be more appropriate to be replaced with question mark in the following figure?<br><img src="/images/question-image/data-science/introduction-to-data-science/1696507986-1-117.jpg" title="Introduction to Data Science mcq question image" alt="Introduction to Data Science mcq question image">
  ক

  Data Analysis

  খ

  Data Science

  গ

  Descriptive Analytics

  ঘ

  None of the mentioned
• Data Products shown in the below figure is built using which programming language?<br> <img src="/images/question-image/data-science/introduction-to-data-science/1696508292-1-116.jpg" title="Introduction to Data Science mcq question image" alt="Introduction to Data Science mcq question image">
  ক

  S

  খ

  Python

  গ

  R

  ঘ

  Java
• Which of the following is commonly referred to as 'data fishing'?
  ক

  Data bagging

  খ

  Data booting

  গ

  Data merging

  ঘ

  None of the mentioned
• Which of the following allows you to find the relationship you didn't about?
  ক

  Inferential

  খ

  Exploratory

  গ

  Causal

  ঘ

  None of the mentioned
• Which of the following approach should be used if you can't fix the variable?
  ক

  randomize it

  খ

  non stratify it

  গ

  generalize it

  ঘ

  none of the mentioned
• Which of the following statement would create branch named as 'sanfoundry'?
  ক

  git checkout -b sanfoundry

  খ

  git checkout -c sanfoundry

  গ

  git check -b sanfoundry

  ঘ

  none of the mentioned
• 3V's are not sufficient to describe big data.
  ক

  True

  খ

  False
• Which of the following is NOT typically considered a part of the Data Science process?
  ক

  Data Collection

  খ

  Data Visualization

  গ

  Data Cleaning

  ঘ

  Software Development
• What is the primary objective of exploratory data analysis (EDA) in Data Science?
  ক

  To make predictions

  খ

  To find patterns

  গ

  To summarize data

  ঘ

  To transform data
• What is the primary role of a Data Scientist in a business context?
  ক

  Conducting market research

  খ

  Developing marketing campaigns

  গ

  Extracting data from databases

  ঘ

  Leveraging data for insights
• Which of the following is a common method for dealing with missing data in a dataset?
  ক

  Dropping missing values

  খ

  Imputing missing values

  গ

  Creating new features

  ঘ

  Normalizing the data
• Which step in the Data Science process involves visualizing and interpreting the results of data analysis?
  ক

  Data Collection

  খ

  Data Cleaning

  গ

  Data Visualization

  ঘ

  Model Building
• What does the acronym "SQL" stand for in the context of Data Science?
  ক

  Structured Query Language

  খ

  Statistical Query Language

  গ

  Simplified Query Language

  ঘ

  Secure Query Language
• Which of the following is a common algorithm used for classification in supervised learning?
  ক

  K-Means Clustering

  খ

  Decision Tree

  গ

  Principal Component Analysis (PCA)

  ঘ

  Naive Bayes
• What is the process of splitting a dataset into a training set and a test set used for machine learning called?
  ক

  Data Partitioning

  খ

  Data Sampling

  গ

  Data Splitting

  ঘ

  Data Shuffling
• In Data Science, what is the purpose of data wrangling?
  ক

  To create complex models

  খ

  To transform raw data

  গ

  To visualize data

  ঘ

  To remove outliers
• Which type of data is represented by categories or labels and cannot be measured numerically?
  ক

  Numerical Data

  খ

  Categorical Data

  গ

  Continuous Data

  ঘ

  Ordinal Data
• What is the primary objective of data exploration in Data Science?
  ক

  To build predictive models

  খ

  To find hidden patterns

  গ

  To summarize data

  ঘ

  To collect data
• In Data Science, what is the term for a data point that is missing a value for one or more features?
  ক

  Outlier

  খ

  Anomaly

  গ

  Null Value

  ঘ

  Feature
• Which statistical measure represents the spread or dispersion of data values in a dataset?
  ক

  Median

  খ

  Mean

  গ

  Standard Deviation

  ঘ

  Mode
• Which of the following best describes the purpose of data sampling in Data Science?
  ক

  To analyze the entire dataset

  খ

  To select a representative subset

  গ

  To visualize data

  ঘ

  To calculate data statistics
• What is the term for the process of removing or reducing noise and inconsistencies from data?
  ক

  Data Integration

  খ

  Data Transformation

  গ

  Data Aggregation

  ঘ

  Data Cleansing
• In Data Science, what is the term for the process of reducing the dimensionality of a dataset while preserving information?
  ক

  Dimensionality Reduction

  খ

  Data Cleaning

  গ

  Feature Engineering

  ঘ

  Data Transformation