Short on study time for the Python Institute PCED - Certified Entry-Level Data Analyst with Python exam? Getcertkey condenses your preparation into 52 focused practice questions for the PCED-30-02 exam, so even a packed schedule leaves room for steady, measurable progress.
Python Institute PCED-30-02 Exam Overview:
| Certification Vendor: | Python Institute |
|---|---|
| Exam Name: | Certified Entry-Level Data Analyst with Python |
| Exam Number: | PCED-30-02 |
| Exam Duration: | 60 + NDA |
| Available Languages: | Spanish, English |
| Real Exam Qty: | 40 |
| Related Certifications: | PCAD PCEP |
| Passing Score: | 75% |
| Exam Format: | Single-select, Multiple-select |
| Certificate Validity Period: | Lifetime |
| Exam Price: | $69 USD |
| Sample Questions: | ![]() |
| Exam Way: | Online (remote proctored) or at authorized testing centers via TestNow™ platform. |
| Pre Condition: | No formal prerequisites. Recommended: PCEP™ (or equivalent) and foundation in mathematics/statistics. |
| Official Syllabus URL: | https://pythoninstitute.org/pced |
Python Institute PCED-30-02 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Communicating Insights and Reporting | 12.5% | - Data Storytelling and Reporting
|
| Topic 2: Python Basics for Data Analysis | 32.5% | - Python Fundamentals
|
| Topic 3: Introduction to Data and Data Analysis Concepts | 22.5% | - Data Ethics and Privacy
|
| Topic 4: Working with Data and Performing Simple Analyses | 32.5% | - Data Analysis with Python Libraries
|
PCED-30-02 Exam FAQs for 2026 Candidates
Which certification does the PCED-30-02 exam lead to?
The PCED-30-02 exam is the official Python Institute exam behind the Python Institute PCED certification, validating the skills measured by the Python Institute PCED - Certified Entry-Level Data Analyst with Python credential. It sits at the Entry-Level level of the Python Institute certification program. It also connects to PCEP, PCAD, so the knowledge you build here carries over to those tracks as well.
How many questions are on the PCED-30-02 exam, and how much time do I get?
The PCED-30-02 exam contains 40 questions to be completed within 60 + NDA. Before exam day, divide the available time by the question count to work out a comfortable per-question pace, and mark any item that eats into it so you can return later instead of getting stuck. Timed sessions in the Getcertkey test engines make that pacing automatic — run at least two full-length mock exams under the clock so time pressure never becomes the reason you drop points.
What score do I need to pass the PCED-30-02 exam, and what does it cost?
The passing score for the PCED-30-02 exam is 75%, and the official registration fee is $69 USD. Retakes are not discounted — every new attempt means paying the full fee again — so it pays to measure yourself before you book. Work through the 52 practice questions on Getcertkey, sit a timed practice test, and schedule your exam only when your scores are consistently comfortable. That simple habit is the cheapest exam strategy there is.
Are there any prerequisites for the PCED-30-02 exam?
No formal prerequisites. Recommended: PCEP™ (or equivalent) and foundation in mathematics/statistics. Requirements can change when Python Institute revises its certification program, so confirm the current eligibility rules on the official exam page before you register.
Can I try the PCED-30-02 practice questions before I buy?
Yes. Getcertkey provides a free PCED-30-02 PDF demo so you can review the question style and answer quality before purchasing. Every purchase also includes 365 days of free updates — if Python Institute revises the exam during that period, the updated material reaches you at no cost. Once the free-update year ends, you can extend your update service at a 50% discount.
What if I fail the PCED-30-02 exam, and how is my order delivered?
Every Python Institute PCED - Certified Entry-Level Data Analyst with Python purchase on Getcertkey is covered by a 100% money-back guarantee with clear conditions: if you take the corresponding exam within 60 days of your purchase and do not pass, you can claim a full refund by submitting a scanned copy of your exam enrollment slip and your official score report as a PDF within two days of the exam date; claims are processed within seven days of submission. The guarantee does not apply to exams taken within three days of purchase, to material that was downloaded but never used in an exam attempt, or to free products and expired orders, and the candidate name must match the payer name. If you would rather not take a refund, you can instead exchange your purchase for two free exam preparation products of equal value and keep the update service on your original product.
Delivery is instant: your download is sent to your email within one minute of payment, with no limit on how many computers you may install the material on. If nothing arrives within two hours, check your spam folder and contact customer service for help.
What topics are covered in the PCED-30-02 exam?
The Python Institute PCED - Certified Entry-Level Data Analyst with Python exam blueprint is organized into 4 domains. The first three are:
- Introduction to Data and Data Analysis Concepts — 22.5% of the exam
- Python Basics for Data Analysis — 32.5% of the exam
- Working with Data and Performing Simple Analyses — 32.5% of the exam
For the complete domain-by-domain breakdown, scroll up to the full exam topics outline above and use it to plan how you distribute your study time.
Python Institute PCED - Certified Entry-Level Data Analyst with Python Sample Questions:
Question 1
You have collected sales data and want to compute the average using the NumPy library.
Which option correctly shows how to install NumPy and use it in your code to perform this task?
A. To install NumPy:
from pip install numpy
Then run this code:
import numpy as np
data = np.array([10, 20, 30])
print(np.mean(data))
B. To install NumPy:
pip install numpy
Then run this code:
import numpy as np
data = numpy.arr([10, 20, 30])
print(numpy.mean(data))
C. To install NumPy:
pip install numpy as np
Then run this code:
import np
data = np.array([10, 20, 30])
print(np.mean(data))
Question 2
A program uses slicing on a string "Python". The expression s[1:4] is evaluated. Which substring will be returned?
A. ytho
B. ythn
C. tho
D. yth
Question 3
A program compares two values using == and is. The variables a = 256 and b = 256 are defined.
What is the expected result of a is b in most Python implementations?
A. Error
B. None
C. True
D. False
Question 4
A healthcare provider analyzes patient records to determine that appointment cancellations spike during weather alerts and flu season.
What type of analytics is this?
A. Diagnostic analytics - it identifies reasons behind patterns in patient behavior.
B. Predictive analytics - it uses weather and illness trends to forecast future cancellations.
C. Descriptive analytics - it reports appointment numbers across past seasons.
D. Prescriptive analytics - it automates patient rescheduling based on cancellation patterns.
Question 5
You are reading a data.csvfile line by line. To prepare each line for formatting with f-strings, you need to remove extra whitespace and split the values by commas.
Which line should you insert to correctly clean and parse the input?
A. fields = line.split().strip(', ')
B. fields = line.split(', ').trim()
C. fields = line.replace(', ', '|').split('|')
D. fields = line.strip().split(', ')
Solutions:
| Question 1 Answer: A | Question 2 Answer: D | Question 3 Answer: C | Question 4 Answer: A | Question 5 Answer: D |


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