Python 3 Engineer Certification Data Analysis Exam

Python3 data analysis test preparation | Free mock questions1,120 tanong

It is an easy-to-prepare exam, as the scope of questions and the number of questions per chapter are made public. NumPy, pandas, Matplotlib, and scikit-learn alone account for 27 out of 40 questions, so if you work hard on this, you'll be able to pass the exam. You can display both the problem and formula for reading the code execution results, so you can work with your hands without opening the teaching material.

Magsimulang mag-aral

Official past questions for this exam have not been released. This site contains study questions that we have created ourselves based on the published question ranges.

Pumili ng mode ng pag-aaral

Random na pagkakasunod

Pumili ng 5 hanggang lahat ng tanong mula sa 1,120 tanong para magsanay.

Pag-aaral ayon sa paksa

Tukuyin ang mahihinang bahagi ayon sa 12 paksa at hirap na ★1–★3.

Mock exam

40 tanong・60分. Nakatago ang tama/mali hanggang sa pagmamarka.
Mga kasamang tanong 1,120 tanong
Huling update 2026-09-22
Nilo-load ang data ng mga tanong…

Features of this Python3 data analysis exam question collection

Filter by library

NumPy, pandas, Matplotlib, and scikit-learn are separated into separate categories, so you can concentrate on areas that have a high proportion of questions.

Show code and formulas

You can display NumPy and pandas code in monospaced blocks, and expressions for linear algebra and probability statistics in LaTeX.

Detalyadong paliwanag sa bawat tanong

Makikita hindi lang kung bakit tama ang sagot kundi kung bakit mali ang ibang options.

Naka-save sa device ang study data

Naka-save sa LocalStorage ang accuracy at review schedule; hindi ipinapadala sa server ang answer data.

Mga available na mode ng pag-aaral

  1. Karaniwang pag-aaral: Magsanay sa pamamagitan ng pagpili ng set, kategorya, hirap, at bilang ng tanong.
  2. Review ngayong araw: Ipinapakita ang mga tanong na naka-iskedyul nang i-review batay sa answer history.
  3. Review ng mahihinang bahagi: Ulitin lamang ang mga tanong na dati mong nasagot nang mali.
  4. Mock exam: Hindi ipinapakita ang tama/mali hanggang matapos ang exam para mas malapit sa totoong exam flow.

Paano gamitin

  1. 1
    Pumili ng mode ng pag-aaral

    Pumili sa regular study, review, weakness practice, o mock exam.

  2. 2
    Itakda ang saklaw at bilang ng tanong

    Piliin ang set, paksa, antas ng hirap, at dami ng tanong mula 5 hanggang lahat.

  3. 3
    Basahin ang paliwanag at mag-review

    I-save ang resulta sa study history at balikan ang mga maling sagot.

Overview of the Python 3 Engineer Certification Data Analysis Exam (Contents included on this site)

Bilang ng tanong 1,120 tanong (libre, walang registration)
Mock exam 40 tanong・60分(CBT-style practice)
passing line 正答率70%（40 tanong中28 tanong）
Format ng tanong 4 na pagpipilian; may paliwanag at dahilan ng maling sagot sa bawat tanong
Mga saklaw na paksa 12 paksa (Data analysis engineer role、NumPy、pandas、Matplotlib、scikit-learn、Pythonの基礎、線形代数、確率と統計)
Formula/Code Supports formula display and code block display using KaTeX
Main teaching materials New Textbook for Data Analysis with Python, 3rd Edition (Shoeisha)
History ng pag-aaral Naka-save sa LocalStorage ng browser (hindi ipinapadala sa server)
Set ng mga tanong 2 set
Opisyal na website Check the latest range of questions in the Python Engineer Training Promotion Association's "Data Analysis Examination"

The test consists of 40 multiple-choice questions, with a passing rate of 70% correct answers. The number of questions for each chapter of the main material is 2 questions (5%) for Chapter 1: The role of a data analysis engineer, 5 questions (12.5%) for Chapter 2, Python and the environment, 6 questions (15%) for Chapter 3, Basics of Mathematics, and 27 questions (67.5%) for Chapter 4, Analysis practice using libraries. The breakdown of Chapter 4 is 6 questions on NumPy, 7 questions on pandas, 6 questions on Matplotlib, and 8 questions on scikit-learn. Application (data collection and processing) in Chapter 5 is not included in the questions, so this site does not treat it as a field. With the revision on January 5, 2026, the main teaching materials have been changed to the 3rd edition, and the versions of Python and libraries have also been changed. Please be sure to check the official website for the latest information on exam fees, exam dates, and question ranges.

Patakaran sa paggawa ng tanong at mga update

  • We have created our own materials for learning purposes, based on the question range published by the Python Engineer Training Promotion Association and the chapter structure of the main teaching materials.
  • This is not a problem collection that reproduces text from the main teaching materials or official mock problems.
  • We post the correct answers, explanations, reasons for incorrect answers, and related functions and methods.
  • The code execution results are posted after confirming their operation with the listed library version.
  • Where specifications have changed due to revisions to the main teaching materials, we will review them from time to time based on revision information and problem reports.

Mga kasamang tanong: 1,120 tanong · Huling update ng tanong: 2026-09-22

Mga madalas itanong

Can I solve the Python3 data analysis exam questions for free?

Libre ang lahat ng tanong at hindi kailangan ng registration. May regular study, review ngayong araw, weakness practice, at mock exam, na may pagpili ng set, kategorya, hirap, at dami ng tanong.

Opisyal bang dating exam questions ang mga ito?

No. Official past questions for this exam have not been released. The questions on this site are original mock questions created for learning purposes, with reference to the question range published by the Python Engineer Training Promotion Association and the chapter structure of the main teaching materials. The association's official website also provides free certified mock questions, so using them together will improve your accuracy.

Which field should I study?

Chapter 4 is library practice. NumPy, pandas, Matplotlib, and scikit-learn alone accounted for 27 out of 40 questions, or 67.5% of the total. There are 6 questions (15%) on the basics of mathematics, so even if you are not good at formulas, you can pass the exam if you solidify your library first.

Ano ang passing score?

The passing mark is 70%, so you need 28 correct answers out of 40. The pass rate is relatively high at around 80%, but that reflects a clearly defined syllabus that is easy to prepare for; it is not an exam you should take without preparation.

Which main teaching materials should I buy?

Following the January 5, 2026 revision, the main study text changed to New Textbook for Data Analysis with Python, 3rd Edition (Shoeisha), and the Python and library versions were updated to match the new book. If you are buying the book now, choose the third edition.

Will I be asked to write code?

All questions are multiple choice, so you don't have to actually write any code. However, the main problem is reading code and predicting execution results. This site also presents questions in a format where NumPy and pandas code is displayed as is and you are asked to choose the output.

Are the formulas visible?

will be displayed. Matrix operations in linear algebra and formulas in probability statistics can be handled in LaTeX notation, so you can practice defining inner products and standard deviations as they are.

What are the eligibility requirements and test method?

There are no qualifications to take the test; anyone can take the test. You can take the test year-round at Odyssey Communications CBT test centers nationwide, and the results will be available immediately after the test ends. The approximate exam fee is 11,000 yen for the general public and 5,500 yen for the student discount (both tax included).

Saan naka-save ang study history?

Naka-save ang history sa LocalStorage ng kasalukuyang browser. Walang awtomatikong sync sa ibang device, at mabubura rin ang history kapag binura ang browser data.

Disclaimer

This tool is not affiliated with the Python Engineer Training Promotion Association or the testing organization. We do not guarantee the accuracy or comprehensiveness of questions, options, and explanations, nor do we guarantee that you will pass the actual exam. The behavior may change depending on the library version. Please be sure to check the official website for the latest information.

This site is an unofficial collection of exam preparation questions. "Python" is a registered trademark of the Python Software Foundation. The exam name belongs to the Python Engineer Training Promotion Association.