Foundations of Data Analytics Quiz
Explore data preprocessing, outlier detection, machine learning algorithms, and more in this comprehensive quiz.
#1
What is the primary goal of data preprocessing in data analytics?
To visualize data
To clean and transform data
To perform statistical analysis
To build machine learning models
#2
What is the purpose of a scatter plot in data visualization?
To show the distribution of a single variable
To display the relationship between two variables
To compare multiple datasets
To show the summary statistics of a dataset
#3
What is the main advantage of using the Naive Bayes algorithm in text classification?
It works well with large datasets
It handles complex relationships between features
It requires minimal training time
It is suitable only for numerical data
#4
Which of the following is a common technique for outlier detection in a dataset?
K-means clustering
Principal Component Analysis (PCA)
Z-score normalization
Random Forest
#5
What is the purpose of the SQL GROUP BY clause in data analysis?
To filter rows based on a condition
To sort data in ascending order
To group rows based on a column's values
To join multiple tables
#6
Which statistical measure provides a central tendency for a dataset?
Variance
Mean
Standard Deviation
Correlation
#7
Which algorithm is commonly used for classification tasks in machine learning?
K-means clustering
Decision Trees
Linear Regression
Principal Component Analysis (PCA)
#8
What is the purpose of the term 'dimensionality reduction' in data analytics?
To add more features to the dataset
To remove outliers from the dataset
To decrease the number of features while retaining key information
To increase the complexity of machine learning models
#9
In machine learning, what does the term 'overfitting' refer to?
Model performs well on training data but poorly on new data
Model performs well on both training and test data
Model is too simple to capture the underlying patterns
Model is too complex and fits noise in the training data
#10
What is the purpose of regularization techniques in machine learning?
To penalize complex models and prevent overfitting
To increase the complexity of models
To speed up the training process
To perform feature engineering
#11
What is the primary purpose of the 'ELT' (Extract, Load, Transform) process in data analytics?
To visualize data
To clean and transform data
To perform statistical analysis
To build machine learning models
#12
What is the role of the 'Hadoop Distributed File System (HDFS)' in big data analytics?
To store and manage large datasets across a distributed environment
To perform real-time analytics
To visualize data
To preprocess textual data
#13
Which statistical test is suitable for comparing means of two independent groups in data analytics?
Chi-square test
ANOVA (Analysis of Variance)
T-test
Kruskal-Wallis test
Sign In to view more questions.
Quiz Questions with Answers
Forget wasting time on incorrect answers. We deliver the straight-up correct options, along with clear explanations that solidify your understanding.
Popular Quizzes in Data Analysis
Report