Which of the following is a technique used to handle missing data in a dataset?
Anonymous Quiz
17%
Data Augmentation
30%
Data Imputation
43%
Data Transformation
9%
Data Normalization
👏1
What is the primary purpose of data visualization in Data Science?
Anonymous Quiz
35%
To make data more complicated
43%
To simplify complex data
13%
To increase data complexity
9%
To store data
Which step in the Data Science process involves building and training predictive models?
Anonymous Quiz
21%
Data Collection
25%
Data Visualization
14%
Data Cleaning
39%
Model Building
🎲 اختبار '30سؤال في السلايد الاول (Introduction)'
إعداد/Amat Alkepsi
🖊29 سؤالاً · ⏱1د
إعداد/Amat Alkepsi
🖊29 سؤالاً · ⏱1د
What is the process of extracting patterns and information from data called?
Anonymous Quiz
21%
Data Wrangling
18%
Data Visualization
32%
Data Engineering
29%
Data Mining
Which statistical measure represents the middle value of a dataset when it is sorted in ascending order?
Anonymous Quiz
38%
Median
15%
Mean
42%
Standard Deviation
4%
Mode
In Data Science, what is the purpose of feature engineering?
Anonymous Quiz
56%
To extract features from data
24%
To visualize data features
8%
To clean data features
12%
To model data features
What is the term for a machine learning algorithm that learns from historical data to make predictions about the future?
Anonymous Quiz
18%
Regression
25%
Clustering
29%
Classification
29%
Supervised Learning
Which of the following is an example of an unsupervised learning algorithm used in clustering data?
Anonymous Quiz
32%
Linear Regression
35%
K-Means Clustering
21%
Decision Trees
12%
Logistic Regression
In Data Science, what is the term for the process of reducing the dimensionality of a dataset while preserving information?
Anonymous Quiz
38%
Dimensionality Reduction
21%
Data Cleaning
8%
Feature Engineering
33%
Data Transformation
Which library in Python is commonly used for data manipulation and analysis in Data Science?
Anonymous Quiz
45%
Pandas
36%
Matplotlib
14%
Scikit-Learn
5%
TensorFlow
👍1
What is the term for the process of cleaning and organizing data into a structured format suitable for analysis?
Anonymous Quiz
40%
Data Transformation
15%
Data Visualization
25%
Data Aggregation
20%
Data Extraction
In Data Science, what is the primary purpose of data visualization?
Anonymous Quiz
30%
To make data more confusing
20%
To obscure patterns in data
45%
To help communicate insights from data
5%
To complicate data
Which step in the Data Science process involves assessing the quality of collected data?
Anonymous Quiz
41%
Data Collection
23%
Data Cleaning
23%
Data Validation
14%
Data Visualization
Which of the following is a common technique used to handle imbalanced datasets in classification problems?
Anonymous Quiz
39%
Upsampling
11%
Downsampling
17%
Feature Engineering
33%
Data Wrangling
What type of data analysis focuses on understanding the relationships and patterns within a dataset?
Anonymous Quiz
59%
Denoscriptive Analysis
18%
Predictive Analysis
12%
Inferential Analysis
12%
Diagnostic Analysis
Which of the following is NOT a key role in a typical Data Science team?
Anonymous Quiz
39%
Data Engineer
17%
Data Analyst
17%
Data Scientist
28%
Database Administrator
👍1
What is the process of converting categorical variables into numerical values for machine learning called?
Anonymous Quiz
24%
Feature Extraction
29%
Data Encoding
29%
Data Standardization
18%
Label Encoding
Which of the following is NOT a common data visualization tool or library used in Data Science?
Anonymous Quiz
25%
Tableau
35%
Seaborn
20%
Power BI
20%
Excel
In Data Science, what is the term for the process of reducing the dimensionality of a dataset while preserving information?
Anonymous Quiz
47%
Dimensionality Reduction
16%
Data Cleaning
26%
Feature Engineering
11%
Data Transformation
What is the process of converting categorical variables into numerical values for machine learning called?
Anonymous Quiz
35%
Feature Extraction
40%
Data Encoding
10%
Data Standardization
15%
Label Encoding