Big Data Analysis Engineer Practical Exam Preparation (Using R)
We will help those preparing for the Big Data Analysis Engineer Practical Exam with R to prepare for the exam. We will select and inform you of only the essential parts based on the questions that were on the Big Data Analysis Engineer Practical Exam. If you complete the course, you will be one step closer to passing the Big Data Analysis Engineer Practical Exam. We have reviewed the recent exam questions and uploaded related scripts and data. Also check out the latest exam information.
263 learners
Level Basic
Course period Unlimited
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Edited
Work Type 3 Review
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