Python Institute PCED-30-01 Practice Exams
Last updated on Oct 22,2026- Exam Code: PCED-30-01
- Exam Name: Certified Entry-Level Data Analyst with Python
- Certification Provider: Python Institute
- Latest update: Oct 22,2026
What does the "len()" function in Python do?
- A . Returns the sum of all elements in a list
- B . Returns the average of elements in a list
- C . Returns the number of elements in a list
- D . Returns the maximum value in a list
Which of the following statistical measures describes the spread or variability of a dataset?
- A . Mean
- B . Median
- C . Range
- D . Mode
Which of the following correlation coefficients indicates a perfect negative linear relationship between two variables?
- A . 0.75
- B . -0.50
- C . 0
- D . -1
In machine learning, what is the process of dividing a dataset into a training set and a test set called?
- A . Data exploration
- B . Data preprocessing
- C . Feature selection
- D . Train-test split
Which of the following type of chart is commonly used to visualize hierarchical data structures?
- A . Line chart
- B . Scatter plot
- C . Treemap
- D . Histogram
What is the purpose of correlation analysis in statistical analysis?
- A . To compare means of two independent groups
- B . To test the association between categorical variables
- C . To measure the strength and direction of a linear relationship between two continuous variables
- D . To analyze variance among multiple groups
Which of the following Python libraries can be used for creating geospatial visualizations and maps?
- A . Plotly
- B . Matplotlib
- C . Seaborn
- D . Altair
Which of the following tools can be used for interactive data visualization on the web?
- A . Tableau
- B . PowerBI
- C . D3.js
- D . Matplotlib
Which statistical method is commonly used in data analysis to determine the relationship between two continuous variables?
- A . T-test
- B . ANOVA
- C . Pearson correlation
- D . Chi-square test
In data pre-processing, what is the purpose of data cleaning?
- A . Removing missing values and duplicates
- B . Transforming data into a usable format
- C . Calculating summary statistics
- D . Visualizing data patterns