The Certified Big Data Analyst exam is a nationally recognized certification administered twice a year. This course provides detailed lectures covering everything from the basics to the core concepts to help you prepare for the practical exam. The exam difficulty increases with each iteration. To address this, we provide a range of essential content, starting with the fundamentals, to improve your chances of passing.
Big Data Analytics Engineer Practical Exam - Written Exam
Big Data Analytics Engineer Practical Exam
Machine learning
Python Data Analysis (Pandas)
Nationally certified big data analysis specialist practical test,
You should definitely pass this year!
Planning big data analysis based on understanding big data,
Performs big data collection, storage, processing, analysis and visualization
This is a certificate for verifying practitioners .
In order to secure the competitiveness of the country and companies, the demand for big data analysis experts is increasing. However, due to the shortage of supply compared to demand, it is difficult to secure manpower. Therefore, the government launched the National Technology Big Data Analysis Engineer Certification, a national technical qualification that systematically verifies capabilities along with the training of big data analysis experts.
In 2025, the 10th and 11th regular exams will be held, and the difficulty of the exams increases with each successive exam, so in-depth study is required. This lecture summarizes the basics and core contents of three subjects: Python, Pandas, data processing, and machine learning .
This course is a course to learn about the programming language Python and the Pandas, Scikit-Learn, statsmodels, and scipy libraries. It is a course that can prepare for the 1st, 2nd, and 3rd tasks of the Big Data Analysis Engineer practical exam. Since it is a practical exam that cannot be solved by simple memorization , explanations are provided centered on examples that can help with various applications .
Pandas
Scikit-Learn, statsmodels
📖 Big Data Analysis Engineer Exam Guide
This course focuses on acquiring Python language skills by learning only the important contents at a level for exam preparation for beginners who are not familiar with Python.
Learn the basics of Pandas, a Python library for handling data. Type 1 of the task-based exam understands the types of data processing that can be presented from various perspectives, and understands data processing methods by directly following the problem solving.
In preparation for the Type 2 practical exam, learn about the overall structure and techniques of machine learning using sklearn. Learn how to create and evaluate machine learning regression and classification models, and solve past and highly likely questions.
To prepare for the Type 3 practical exam, we will learn about the interpretation of linear models and parametric/nonparametric tests using statsmodels and scipy.
We will solve past exam questions from the 2nd to the 9th exam to help you prepare for the actual exam.
Episode 9 is scheduled to be uploaded on April 7th.
Q. How many times can I take the practical exam after passing the written exam?
After passing the written exam, you have the opportunity to take the practical exam for two years. Since there are two exams per year, there are a total of four opportunities to take the exam. Please note that this is a national technical qualification and you must check if you are qualified to take the exam.
Q. How long should I study?
The learning period will vary from person to person. And if you learn without any concept of programming, it will take more time. I think it would be good to set aside about 2~3 months and make time to input and interpret code repeatedly every day. In particular, the learning about Pandas and ML is prepared to the extent that you can use it, so you may feel that there is a lot of content. It would be good to learn while asking questions, and you also need to memorize the actual code right before the exam.
Instructor Yoon So-young is an IT professional instructor who has been teaching SW classes for 24 years.
Lecture History
Possession of qualifications
Main Courses
[Textbook Purchase Guide]
Who is this course right for?
For those who wish to take the Big Data Analysis Professional certification exam
For those who want to learn the Python data analysis library, Pandas
Anyone interested in big data analytics
Need to know before starting?
Big Data Analyst Exam - Written Exam Pass
All
168 lectures ∙ (54hr 58min)
Course Materials:
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13 reviews
4.8
13 reviews
Reviews 6
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Average Rating 5.0
Reviews 5
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Average Rating 5.0
5
Cảm ơn bạn. Nhờ bạn mà tôi đã vượt qua được!
Chúc mừng bạn đã đậu~^^ Kỳ thi trước khó nên tôi đã chuẩn bị những câu hỏi khó làm quiz, mong rằng việc học tập khó khăn như vậy cũng sẽ giúp ích cho bạn trong việc sử dụng thực tế^^
Reviews 3
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Average Rating 5.0
5
Dù mất nhiều thời gian, vì là ngôn ngữ mới nên tôi đang học từ đầu. Tôi kỳ vọng nếu chăm chỉ học tập sẽ có kết quả tốt.
Chào bạn! ^^ Cảm ơn bạn đã đánh giá tốt! Bạn đang chuẩn bị cho kỳ thi 20/6 phải không? Từ 5/5 sẽ diễn ra đợt 2 quiz hàng ngày để luyện thi đỗ. Bạn cần học đến Pandas rồi nhé. Nếu quan tâm, hãy đăng ký nhé! (Tham gia phòng chat mở để nhận thông báo nhé.) Đăng ký cuộc thi đố vui hàng ngày 빅분기 Thực hành: https://forms.gle/oqQ9UZh6T3XoHwMQA Chúc bạn một ngày tốt lành!
Reviews 1
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Average Rating 3.0
3
Nó hay nhưng khó vì có quá nhiều bài giảng. Sẽ thật tuyệt nếu chỉ chọn những bài giảng cần thiết để lấy chứng chỉ.
좋은 말씀 감사합니다! Năm 2025, chúng tôi sẽ chia khóa học thành khóa học cấp chứng chỉ và khóa học nâng cao. Chúc mừng năm mới^^
Reviews 3
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Average Rating 5.0
$77.00
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