Big Data Analysis Engineer Practical Exam Preparation (Using R)

Are you having a happy Chuseok holiday?

For those who are new to the course and taking the exam, some of the lecture content has been updated as of September 16, 2024.

I've prepared a short update by summarizing frequently asked questions, so I think it would be helpful to refer to it.

Well, I hope you get good results.

Hello. The 7th Big Data Analyst Practical Exam will be held soon.

In relation to this, I have uploaded a lecture that briefly reviews the three types of work-related tasks.

To prepare for the exam, which is not a statistically perfect theory or in-depth content.

Because I organized and recorded the content, there may be some errors.

I think it would be a good idea to search Google or use other methods to find statistical theories or detailed explanations.

I reviewed it to exceed the minimum requirements to pass the exam in line with the purpose of the lecture.

I would like to point out in advance that questions about statistical theory are difficult to answer.

Below are the contents. I hope you get good results.

1) Normality test

2) T-test (single sample, paired sample, independent sample)

3) One-Way ANOVA

4) Correlation coefficient, regression coefficient

5) Chi-square test

hello.

The question types have changed ahead of the 6th Big Data Analyst exam.

https://www.dataq.or.kr/www/board/view.do?bbsKey=eyJiYnNhdHRyU2VxIjoxLCJiYnNTZXEiOjUzNTY3OX0=&boardKind=notice

You can check the link above.

Statistical test questions have been added.

I think it would be difficult to cover the statistics part in this lecture.

Because it requires explaining many theories and mathematical explanations for each assumption and test.

So, I recorded a video focusing on simple problem-solving and released it, so please refer to it.

If you have any questions, please search for my ID in Q&A or Infraon Mentoring and ask.

However, please understand that it is difficult to answer questions about the theoretical aspects of statistics.

As I mentioned earlier, there are limitations to simply conveying the message in writing.

I hope you do well on your 6th exam. Thank you.

hello.

The 5th Big Data Analysis Engineer Practical Exam will be held soon.

Is everyone well prepared?

Data Qualification Test ( dataq.or.kr )

If you click on the link above, you will see a notice uploaded by the Promotion Agency.

If you receive the attached file, you will find detailed grading criteria for each type.

Please make sure to check it out once in a while.

For type 1 of the task, use the unname function and decimal point removal (celling, floor, round functions) that I explained.

You should look into the related content.

For task type 2, you now need to specify a column name and submit only that column name.

I think it would be good to practice with special care so that you don't lose points in this part.

Well then, I hope you get good results.

Thank you for purchasing my insufficient lecture, and I apologize if you failed to pass the exam after taking my lecture.

And thank you for always leaving good reviews.

I have uploaded the contents of the 4th Big Data Analysis Engineer practical exam held in July 2022.

I have uploaded the contents including the full exam review, related code, and data, including the solution.

During the lecture, there are parts where the screen does not turn in the task type 1 (2).

If you actually type in "?as.Data" and "?strptime" and follow along, I believe you will have no problems taking the course.

I left that part back in the working type 1 (2). Thank you.

I hope this will be helpful to you in preparing for the 5th practical exam.

Regarding the 3rd Big Data Analysis Engineer Practical Examination held in December 2021

The content has been uploaded.

Full review of the exam and explanations of related code and data

I've organized everything and uploaded the content.

I hope this will help you prepare for the 4th exam.

hello.

The third test was administered today.

The type of problem did not seem to be much different from the lecture content.

Everyone, thank you for your hard work on the exam.

I hope you all get good results.

I will also fix the problem within a month or two.

I will update the lecture contents again.

Have a nice weekend.

We are announcing the lecture materials.

Section 1. Review the basic functions of R, including the four basic operations and vector access.

I have attached it to the video.