PYTHON INSTITUTE

Python Institute PCAD - Certified Associate in Data Analytics with Python

PCAD-31

The Python Institute PCAD certification validates the essential skills for performing practical data analysis at the junior to intermediate level. It covers the full data analysis cycle—from data acquisition and cleaning through exploration and modeling to communicating insights—with Python and SQL at its core. Earning PCAD demonstrates your ability to collect, integrate, clean, validate, analyze, and visualize data using essential libraries like Pandas, NumPy, Matplotlib, and Seaborn, and to apply sound programming practices including object-oriented design and exception handling. This credential is ideal for junior data analysts and professionals transitioning into data analytics, providing a competitive edge in data-driven industries.

Practice Free Questions

5Domains

14Objectives

80Practice pages

378Free questions

PCAD-31 free practice questions

Choose any objective and open any question page — no sign-in required.

Data Collection, Integration, and Storage

25 questions · 5 pages

Questions 1–5 6–10 11–15 16–20 21–25

Data Cleaning and Standardization

26 questions · 6 pages

Questions 1–5 6–10 11–15 16–20 21–25 26–26

Data Validation and Integrity

10 questions · 2 pages

Questions 1–5 6–10

Data Preparation Techniques

27 questions · 6 pages

Questions 1–5 6–10 11–15 16–20 21–25 26–27

Core Python Proficiency

50 questions · 10 pages

Questions 1–5 6–10 11–15 16–20 21–25 26–30 31–35 36–40 41–45 46–50

Module Management and Exception Handling

24 questions · 5 pages

Questions 1–5 6–10 11–15 16–20 21–24

Object-Oriented Programming for Data Modeling

26 questions · 6 pages

Questions 1–5 6–10 11–15 16–20 21–25 26–26

SQL for Data Analysts

18 questions · 4 pages

Questions 1–5 6–10 11–15 16–18

Descriptive Statistics

14 questions · 3 pages

Questions 1–5 6–10 11–14

Inferential Statistics

33 questions · 7 pages

Questions 1–5 6–10 11–15 16–20 21–25 26–30 31–33

Data Analysis with Pandas and NumPy

26 questions · 6 pages

Questions 1–5 6–10 11–15 16–20 21–25 26–26

Statistical Methods and Machine Learning

30 questions · 6 pages

Questions 1–5 6–10 11–15 16–20 21–25 26–30

Data Visualization Techniques

39 questions · 8 pages

Questions 1–5 6–10 11–15 16–20 21–25 26–30 31–35 36–39

Effective Communication of Data Insights

30 questions · 6 pages

Questions 1–5 6–10 11–15 16–20 21–25 26–30

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Percentages reflect share of the current practice bank, not official exam weightings. Every page above is a live, crawlable practice page (14 objectives · 80 pages).

Python Institute PCAD - Certified Associate in Data Analytics with Python

PCAD-31 free practice questions

Domain 1 · Data Acquisition and Pre-Processing23% of practice bank · 4 objectives · 88 questions23%

Domain 2 · Programming and Database Skills31% of practice bank · 4 objectives · 118 questions31%

Domain 3 · Statistical Analysis12% of practice bank · 2 objectives · 47 questions12%

Domain 4 · Data Analysis and Modeling15% of practice bank · 2 objectives · 56 questions15%

Domain 5 · Data Communication and Visualization18% of practice bank · 2 objectives · 69 questions18%