Python 3 Engineer Certification Data Analysis Exam

Python3 data analysis test preparation | Free mock questions1.120 soal

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.

Mulai belajar

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.

Pilih mode belajar

Urutan acak

Pilih 5 hingga semua soal dari 1.120 soal untuk berlatih.

Belajar per bidang

Persempit kelemahan berdasarkan 12 bidang dan tingkat kesulitan ★1–★3.

Ujian simulasi

40 soal・60分. Benar/salah disembunyikan sampai penilaian selesai.
Soal tersimpan 1.120 soal
Terakhir diperbarui 22/09/2026
Memuat data soal…

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.

Penjelasan rinci untuk semua soal

Selain alasan jawaban benar, dijelaskan juga mengapa pilihan lain salah.

Data belajar disimpan di perangkat

Tingkat jawaban benar dan jadwal ulasan disimpan di LocalStorage; data jawaban tidak dikirim ke server.

Mode belajar yang tersedia

  1. Belajar biasa: Berlatih dengan memilih set, kategori, tingkat kesulitan, dan jumlah soal.
  2. Ulasan hari ini: Menampilkan soal yang sudah tiba jadwal ulasannya berdasarkan riwayat jawaban.
  3. Atasi kelemahan: Ulangi hanya soal yang pernah dijawab salah.
  4. Ujian simulasi: Benar/salah tidak ditampilkan hingga ujian selesai agar alurnya mendekati ujian sebenarnya.

Cara menggunakan

  1. 1
    Pilih mode belajar

    Pilih belajar standar, ulasan, latihan kelemahan, atau simulasi ujian.

  2. 2
    Atur cakupan dan jumlah soal

    Pilih set, bidang ujian, tingkat kesulitan, dan jumlah soal dari 5 hingga semua soal.

  3. 3
    Tinjau pembahasan dan ulangi

    Simpan hasil ke riwayat belajar dan ulas kembali soal yang salah.

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

Jumlah soal 1,120 soal (gratis, tanpa registrasi)
Ujian simulasi 40 soal・60分(simulasi format CBT)
passing line 正答率70%（40 soal中28 soal）
Format soal 4 pilihan; semua soal dilengkapi pembahasan dan alasan opsi salah
Bidang yang dicakup 12 bidang (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)
Riwayat belajar Disimpan di LocalStorage browser (tidak dikirim ke server)
Set soal 2 set
Situs resmi 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.

Kebijakan pembuatan soal dan pembaruan

  • 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.

Soal tersimpan: 1.120 soal · Pembaruan soal terakhir: 22/09/2026

Pertanyaan yang sering diajukan

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

Semua soal dapat dikerjakan gratis tanpa registrasi. Tersedia belajar standar, ulasan hari ini, latihan kelemahan, dan simulasi ujian dengan pilihan set, kategori, tingkat kesulitan, dan jumlah soal.

Apakah ini soal ujian resmi sebelumnya?

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.

Berapa nilai kelulusannya?

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).

Di mana riwayat belajar disimpan?

Riwayat disimpan di LocalStorage browser yang sedang digunakan. Tidak ada sinkronisasi otomatis ke perangkat lain, dan riwayat akan terhapus jika data browser dihapus.

Penafian

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.