#1
What is the primary goal of Business Intelligence (BI)?
To improve decision-making
ExplanationEnhancing decision-making processes through data analysis.
#2
Which programming language is commonly used for implementing data science algorithms?
Python
ExplanationHighly versatile language for data analysis and algorithm implementation.
#3
What does the acronym SQL stand for in the context of databases?
Structured Query Language
ExplanationStandardized language for managing and querying relational databases.
#4
Which statistical measure is used to describe the spread of data in a dataset?
Standard Deviation
ExplanationIndicator of the dispersion or variability within a dataset.
#5
Which of the following is an example of supervised learning?
Linear regression
ExplanationPredicting a continuous outcome using labeled training data.
#6
In the context of data visualization, what does a histogram represent?
Distribution of numerical data
ExplanationGraphical representation of the frequency distribution of data.
#7
In the context of data science, what does the term 'EDA' stand for?
Exploratory Data Analysis
ExplanationAn initial analysis to understand data characteristics and relationships.
#8
What is the main purpose of a decision tree in machine learning?
To represent hierarchical decisions visually
ExplanationVisual representation of decision-making processes based on data.
#9
In data science, what is the purpose of the term 'feature engineering'?
Transforming raw data into input features
ExplanationCreating meaningful input variables for machine learning models.
#10
What is the primary role of a Data Warehouse in business intelligence?
Long-term data storage
ExplanationCentralized repository for historical and aggregated data.
#11
What is the role of a data scientist in the data science process?
Building machine learning models
ExplanationDeveloping and refining predictive models using data.
#12
What is the purpose of the K-means clustering algorithm?
Clustering
ExplanationGrouping similar data points together based on features.
#13
What is the purpose of the 'bias' term in a neural network?
To offset errors in predictions
ExplanationCompensating for systematic errors in model predictions.
#14
What is the primary purpose of A/B testing in the field of data science?
To test the effectiveness of changes
ExplanationComparing different versions or treatments to determine the most effective.
#15
What does the term 'Big Data' refer to in the context of data science?
Data with high volume, velocity, and variety
ExplanationDatasets characterized by their size, speed, and diversity.
#16
What is the purpose of a confusion matrix in machine learning?
To evaluate classification performance
ExplanationTabular representation of model performance in classification tasks.
#17
What is the purpose of the term 'cross-validation' in machine learning?
To prevent overfitting
ExplanationAssessing model generalization and performance on unseen data.
#18
What is the purpose of the term 'ensemble learning' in machine learning?
To combine predictions from multiple models
ExplanationAggregating predictions from diverse models to improve accuracy.