Now that I've passed the Python 3 Engineer Certification Basic Exam, I'll leave some progress as I'm learning to take data analysis.
First of all, what is the difference between the engineer certification basic test and the engineer certification data analysis test? The engineer certification basic test is a Python-only test. The test range is narrow, and if you have experience with languages other than python, you only need to study for about a week.
Engineer certified data analysis exams are primarily library and math exams. Even if you are speaking in another language, it will take a lot of time to study from scratch.
The following four libraries are in the test range ・ NumPy ・ Pandas ・ Matplotlib ・ Scikit-learn
I studied four libraries of engineer certified data analysis exams
These four libraries also account for ** 67.5% ** of the exam questions. The next most common problem is the basic mathematics problem ** 15% **. ** The pass line is 70% **, so I think that if you spend some time on the library while doing some basic math problems, you will pass. [Designated teaching materials](https://www.amazon.co.jp/Python%E3%81%AB%E3%82%88%E3%82%8B%E3%81%82%E3%81%9F%E3 % 82% 89% E3% 81% 97% E3% 81% 84% E3% 83% 87% E3% 83% BC% E3% 82% BF% E5% 88% 86% E6% 9E% 90% E3% 81 % AE% E6% 95% 99% E7% A7% 91% E6% 9B% B8-AI-TECHNOLOGY-% E5% AF% BA% E7% 94% B0-% E5% AD% A6 / dp / 4798158348 / ref = as_li_ss_tl? __mk_ja_JP =% E3% 82% AB% E3% 82% BF% E3% 82% AB% E3% 83% 8A & dchild = 1 & keywords =% E3% 83% 87% E3% 83% BC% E3% 82% BF % E5% 88% 86% E6% 9E% 90% E3% 81% AE% E6% 95% 99% E7% A7% 91% E6% 9B% B8 & qid = 1599359168 & sr = 8-5 & linkCode = sl1 & tag = isekihakken-22 & linkId = 1e0444405f510c550fb0e103ab7cc = ja_JP) will ask questions at the following rate. (Reference: https://www.pythonic-exam.com/exam/analyist)
| chapter | section | chapter立て | The number of questions | Question rate |
|---|---|---|---|---|
| 1 | Role of data engineer | 2 | 5.00% | |
| 2 | Python and environment | |||
| 1 | Execution environment construction | 1 | 2.50% | |
| 2 | Python basics | 3 | 7.5% | |
| 3 | Jupyter Notebook | 2 | 2.5% | |
| 3 | Foundations of mathematics | |||
| 1 | Basic knowledge for reading mathematical formulas | 1 | 2.50% | |
| 2 | linear algebra | 2 | 5.00% | |
| 3 | Basic analysis | 1 | 2.50% | |
| 4 | Probability and statistics | 2 | 5.00% | |
| 4 | Analysis practice by library | |||
| 1 | NumPy | 6 | 15.00% | |
| 2 | pandas | 7 | 17.5% | |
| 3 | Matplotlib | 6 | 15.00% | |
| 4 | scikit-learn | 8 | 20.00% | |
| 5 | application:Data collection and processing | 0 | 0.00% |
◆ How to take the test Examination date: All year Test Center: Odyssey Communications CBT Test Centers Nationwide Application URL: http://cbt.odyssey-com.co.jp/pythonic-exam.html Examination fee: 10,000 yen (excluding tax) Student discount 5,000 yen (excluding tax)
◆ Outline of "Python 3 Engineer Certification Data Analysis Exam" Exam Name: Python 3 Engineer Certified Data Analysis Exam (English name: Python 3 Certified Data Analyst Examination) Qualification name: Python3 engineer certified data analysis test passer (English name: Python 3 Data Analyst Certification) Summary: A test that asks the basics and methods of data analysis using Python Examination fee: 10,000 yen (excluding tax) Student discount 5,000 yen (excluding tax) Number of questions: 40 questions (all selection questions) Pass line: 70% correct answer rate Test Center: Odyssey Communications CBT Test Centers Nationwide Main teaching material: Released on September 19, 2018 (2,678 yen including tax) "A new textbook for data analysis using Python" (Shoeisha) Authors: Manabu Terata, Shingo Tsuji, Takanori Suzuki, Shintaro Fukushima (honorific title omitted)
This site has a mock exam and an explanation video. There are 3 practice tests, which is highly recommended. Is it just the beginning? The explanation video has been played 12 times when I saw it, the length is as short as about 2 minutes and the explanation speed is fast, so I think that some prior knowledge is required. Personally, I thought it was a little difficult to understand.
I haven't taken this test yet, but the impression that I took the mock test is that if you are not usually involved in python or data analysis, you should definitely take the mock test. Of course, the good side is that you can see the tendency of the problem, but I think it is important to know the time allocation. That said, I haven't seen an article about the time limit on this exam, so it may not be a problem.
My study method is just to use the library by tapping the specified teaching materials with Jupyter notebook. It can be difficult to remember if you don't just read the material "like this" and actually use it. For those who are not good at math basics, there are videos that are easy to understand if you take a little time and search on Udemy. I've bought a machine learning video before and did basic math (I don't remember when I was a student), so I feel that the designated teaching materials are enough.
I have rarely used python in my work, so I forgot even the basics of python shortly after passing the engineer certification basic exam. If anyone has just passed the Engineer Certification Basic Exam, we recommend that you take the Engineer Certification Data Analysis Exam without any sensation.
If you can pass the basic engineer certification exam, you'll probably be able to take it in a month (again, I haven't taken it yet). I think that expensive teaching materials are exams that can be taken only with designated teaching materials, so if you are in doubt, take it.
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