Exam Name: Python Institute Certified Associate Data Analyst with Python (PCAD-31-02)
Certification Provider: Python Institute
Corresponding Certification: Python Institute Certification
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Check Updated on: Aug 27, 2026
No. of Questions: 146 Questions & Answers with Exam Engine
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- Total Questions: 146
- Updated on: Aug 27, 2026
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- Total Questions: 146
- Updated on: Aug 27, 2026
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- Total Questions: 146
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Python Institute PCAD-31-02 Exam Overview:
| Certification Vendor: | Python Institute |
|---|---|
| Exam Name: | Python Institute Certified Associate Data Analyst with Python |
| Exam Number: | PCAD-31-02 |
| Exam Price: | $195 USD |
| Related Certifications: | PCED – Certified Associate in Python Engineering PCEP – Certified Entry-Level Python Programmer PCAP – Certified Associate in Python Programming |
| Exam Duration: | 60 minutes |
| Real Exam Qty: | 48 |
| Available Languages: | German, English, Japanese, Spanish, French |
| Passing Score: | 75% |
| Certificate Validity Period: | 6 years |
| Exam Format: | Single-select questions, Multiple-select questions |
| Recommended Training: | Edube Interactive Learning Platform PCAD Official Syllabus and Resources |
| Exam Registration: | Python Institute Official Registration |
| Sample Questions: | DOWNLOAD DEMO |
| Exam Way: | Online proctored or onsite at authorized test centers |
| Pre Condition: | No mandatory prerequisites; recommended: PCAP – Certified Associate in Python Programming or equivalent knowledge, basic understanding of statistics and data concepts |
| Official Syllabus URL: | https://pythoninstitute.org/pcad |
Python Institute PCAD-31-02 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Data Acquisition and Preprocessing | 30% | - Data collection, integration and storage
|
| Data Visualization and Communication | 15% | - Visualization principles and best practices
|
| Data Modeling and Machine Learning Basics | 20% | - Model performance and optimization
|
| SQL and Database Integration | 10% | - SQL querying
|
| Data Exploration and Statistical Analysis | 25% | - Descriptive statistics
|
Python Institute PCAD-31-02 Certification Exam FAQ
The PCAD-31-02 exam, Python Institute Certified Associate Data Analyst with Python (PCAD-31-02), assesses whether a candidate can apply Python Institute knowledge to the skills measured by this credential. It is associated with the Certified Associate Data Analyst with Python certification. The certification is positioned at the Associate level. Related credentials include PCEP – Certified Entry-Level Python Programmer, PCAP – Certified Associate in Python Programming, PCED – Certified Associate in Python Engineering.
The PCAD-31-02 exam includes 48 questions and allows 60 minutes. Plan your pacing before exam day rather than calculating it under pressure. Timed sessions with Actual4dump practice tests can help you decide when to flag a difficult item, keep moving, and reserve enough time for a final review.
The published passing score for Python Institute Certified Associate Data Analyst with Python (PCAD-31-02) is 75%, and the official exam fee is $195 USD. A retake requires budgeting for the full official fee again, so it is sensible to complete several timed practice tests before scheduling. Consistent results across the 146 practice questions can give you a clearer picture of your readiness.
The stated prerequisite information for Python Institute Certified Associate Data Analyst with Python (PCAD-31-02) is: No mandatory prerequisites; recommended: PCAP – Certified Associate in Python Programming or equivalent knowledge, basic understanding of statistics and data concepts Before registering, review the eligibility details on the official exam page to confirm the requirements.
You can register for Python Institute Certified Associate Data Analyst with Python (PCAD-31-02) through the following channels:
The available exam delivery format is Online proctored or onsite at authorized test centers.
The following official training resources are recommended for Python Institute Certified Associate Data Analyst with Python (PCAD-31-02):
After reviewing these training options, you can reinforce each topic with 146 practice questions from Actual4dump.
Yes. Actual4dump provides a free PDF demo so you can review the format and quality of the Python Institute Certified Associate Data Analyst with Python (PCAD-31-02) practice questions before placing an order. Your purchase includes 365 days of free updates, and you can extend the update service after expiration at a 50% discount.
If you take the corresponding PCAD-31-02 exam within 60 days of purchase and do not pass, you may apply for a full refund under the 100% Money Back Guarantee. Claims based on an exam taken within 3 days of purchase are not eligible; free materials, expired orders, and downloaded products that were not used before sitting for the exam are also excluded. The candidate name must match the payer name.
To apply, submit a scanned enrollment slip and the official Score Report PDF within 2 days after the exam. Eligible requests are processed within 7 days. If you prefer an alternative, you may receive two free products of equal value and keep the update service for your original purchase.
Delivery is instant after payment. Your download is also sent to your email within one minute; if it has not arrived within 2 hours, contact customer service. There is no limit on the number of computers on which the material can be installed.
The published Python Institute Certified Associate Data Analyst with Python (PCAD-31-02) outline contains 5 major domains. The opening domains include:
- SQL and Database Integration (10%)
- Data Visualization and Communication (15%)
- Data Modeling and Machine Learning Basics (20%)
Review the complete Exam Topics section above for every domain and subtopic before planning your study time.
Python Institute Certified Associate Data Analyst with Python (PCAD-31-02) Sample Questions:
Question 1
What is the correct SQL statement to permanently remove a table named customers from a database?
A. REMOVE TABLE customers;
B. DROP TABLE customers;
C. TRUNCATE TABLE customers;
D. DELETE TABLE customers;
Question 2
What is the best approach when comparing SQL NULL values with Python data during conditional checks?
A. Replace NULL with zero before importing
B. Convert all NULL to string before comparison
C. Use Python's None and SQL's IS NULL clause
D. Use == None directly in SQL queries
Question 3
Which methods can be used to validate data types and structure in a Pandas DataFrame?
(Choose two)
A. df.dtypes
B. df.info()
C. df.memory_usage()
D. df.to_csv()
Question 4
Which practices enhance both readability and professionalism in spreadsheet formatting?
(Choose two)
A. Applying consistent font and cell styling
B. Using uniform date formats across columns
C. Centering all data regardless of type
D. Aligning column headers to the left
Question 5
Which characteristics are commonly associated with cloud-based data storage solutions?
A. Requires dedicated local hardware
B. Physical proximity to user machines
C. Elastic scalability
D. High availability and redundancy
Solutions:
| Question 1 Answer: B | Question 2 Answer: C | Question 3 Answer: A,B | Question 4 Answer: A,B | Question 5 Answer: C |
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