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Which data visualization technique is suitable for showing the relationship between two continuous variables?

  • Scatter plot
  • Bar chart
  • Pie chart
  • Histogram
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What does the term "PCA" stand for in data analytics?

  • Principal Component Analysis
  • Predictive Classification Algorithm
  • Probabilistic Component Analysis
  • Precision-Corrected Approximation
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Which of the following is an example of unstructured data?

  • Spreadsheet
  • Database table
  • Text document
  • CSV file
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Which machine learning algorithm is used for classification problems?

  • Linear regression
  • K-means clustering
  • Decision tree
  • Apriori algorithm
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Which statistical measure is used to measure the central tendency of a dataset?

  • Standard deviation
  • Variance
  • Mean
  • Median
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Which of the following is a disadvantage of using Excel for data analysis?

  • Limited data storage capacity
  • Difficulty in creating visualizations
  • Inability to handle large datasets
  • Lack of formula functions
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Which of the following techniques is used for sentiment analysis?

  • K-means clustering
  • Linear regression
  • Naive Bayes classifier
  • Apriori algorithm
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Which of the following is a supervised learning algorithm?

  • K-means clustering
  • Linear regression
  • Apriori algorithm
  • PCA (Principal Component Analysis)
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What is the purpose of A/B testing in data analytics?

  • To compare different versions of a web page or application
  • To visualize data
  • To clean and preprocess data
  • To perform sentiment analysis
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What is the purpose of data preprocessing in data analytics?

  • To visualize data
  • To clean and prepare data for analysis
  • To generate reports
  • To store data efficiently
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What is the purpose of data normalization in data analytics?

  • To visualize data
  • To clean and preprocess data
  • To create new features from existing ones
  • To evaluate a model's performance
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What does the term "Hadoop" refer to in data analytics?

  • A programming language
  • A data visualization tool
  • A distributed computing framework
  • A machine learning algorithm
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What is the purpose of feature engineering in machine learning?

  • To visualize data
  • To clean and preprocess data
  • To create new features from existing ones
  • To evaluate a model's performance
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Which of the following is NOT a dimensionality reduction technique?

  • Principal Component Analysis (PCA)
  • Singular Value Decomposition (SVD)
  • K-means clustering
  • t-Distributed Stochastic Neighbor Embedding (t-SNE)
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Which of the following techniques is used for text mining?

  • Linear regression
  • TF-IDF (Term Frequency-Inverse Document Frequency)
  • K-means clustering
  • Apriori algorithm
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Which of the following is NOT a step in the data analytics process?

  • Data Exploration
  • Data Visualization
  • Data Cleaning
  • Data Generation
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What is the purpose of data anonymization in data analytics?

  • To visualize data
  • To clean and preprocess data
  • To protect sensitive information
  • To evaluate a model's performance
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What is the purpose of logistic regression in machine learning?

  • To predict continuous values
  • To classify data into discrete categories
  • To perform clustering
  • To detect outliers
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Which statistical measure is used to measure the spread of a dataset?

  • Mean
  • Median
  • Standard deviation
  • Mode
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What is the purpose of outlier detection in data analytics?

  • To identify patterns in data
  • To remove irrelevant data points
  • To calculate summary statistics
  • To visualize data
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Which of the following is NOT a method for feature selection?

  • Lasso regression
  • Recursive feature elimination
  • Principal Component Analysis (PCA)
  • Ridge regression
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Which of the following is a measure of data skewness?

  • Mean
  • Median
  • Variance
  • Skewness coefficient
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What does the term "BI" stand for in data analytics?

  • Business Inference
  • Business Integration
  • Business Intelligence
  • Business Interaction
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What is the purpose of cross-validation in machine learning?

  • To evaluate a model's performance on unseen data
  • To visualize data
  • To clean and preprocess data
  • To perform feature engineering
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Which of the following techniques is used for time series forecasting?

  • Linear regression
  • ARIMA (AutoRegressive Integrated Moving Average)
  • K-means clustering
  • Apriori algorithm
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Which of the following is NOT a type of data analytics?

  • Descriptive analytics
  • Predictive analytics
  • Prescriptive analytics
  • Retrospective analytics
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What does the term "SQL" stand for?

  • Structured Query Language
  • Structured Query Language
  • Standard Query Language
  • Systematic Query Language
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In data analytics, what does the term "API" stand for?

  • Analytical Processing Interface
  • Application Programming Interface
  • Advanced Programming Interface
  • Algorithmic Processing Interface
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What is the primary objective of data analytics?

  • To visualize data
  • To generate reports
  • To extract insights from data
  • To store data efficiently
Mark for review

Which of the following is NOT a data type in Python?

  • Integer
  • String
  • Tuple
  • Array
Mark for review

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