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[백문이불여일타] 데이터 분석을 위한 고급 SQL 문제풀이
데이터리안
인프런 누적 수강생 10,000명 이상, 풍부한 온/오프라인 강의 경험을 가진 데이터리안의 SQL 고급 문제풀이 강의. SQL 고급 내용을 연습해 볼 수 있는 여러 문제를 함께 풀어봅니다.
Intermediate
SQL
If you were curious about what A/B testing is and how other companies experiment, attend this November seminar!

A/B test concept
Practical A/B Testing Cases
📍Notice
 Cumulative number of applicants: approximately 2,600!
 Watch the hotly debated seminar in video format. 
📢 Please check before taking the class!
 
    
📺 In December, we'll be talking about data analytics side projects!
 
     
    Carrot Market is a place that puts a lot of effort into doing A/B tests well. We are constantly thinking about how to create an environment where experiments can be conducted well and how to utilize them well. I used to be someone who would talk a little about such things, but embarrassingly, I overlooked it when I was making decisions and got in big trouble. I will tell you my story of how I suffered when I distributed without conducting experiments.
 
     
    A basic explanation of what A/B testing is,
- The more experimental data, the better?
- I tried the test, but what should I do if there is no difference in the indicators between Group A and Group B?
- I started testing and the indicator went up a lot and then started dropping. Is there something wrong?
Let's talk about some miscellaneous practical A/B testing stories that are useful to know.
Warm up
Q1. What is the difference between the data analysis work of a PM and the analysis work of a data analyst?
Ⅰ. A/B test design
Q2. What are the criteria and methods for selecting A/B test cases among many cases?
Q3. What target indicators do you set when designing A/B tests?
Q4. How should I determine the sample size?
Q5. How should I conduct A/B testing when there are few users?
Q6. How do I set the A/B test period?
Ⅱ. Interpreting A/B test results
Q7. When analyzing A/B test results, to what extent do you consider it a success/failure?
Q8. Please give me some tips for analyzing results and common mistakes!
Ⅲ. Other questions
Q9. Many companies ask or require experience with A/B testing. However, in an environment where it is practically impossible to gain experience with A/B testing, what kind of experience can replace this?
Q10. I am a planner. I need to convince designers and developers to do A/B testing. What would be an effective method?
I used to work as a data analyst at the recruitment platform Jobplanet, and now I work at Datalian. My hobby is writing resumes, and my specialty is data analysis.
I started out as a data analyst and then transitioned to Product Manager. I am now working as a search Product Manager at Carrot Market. I like getting to know users and improving product experiences based on data and experiments.
After working as a data analyst at Coupang, Hi-Connect, and Kakao, I am currently working at Datalian, providing data analysis consulting and training.
After working at a food e-commerce startup, I now work as a data analyst at Carrot Market.
Q. When is the monthly Datalian Live Seminar? Where can I apply?
You can check out the next month's seminar information on the Datalian website . You can also apply right away!
Q. Is there anything I need to prepare before listening?
No :D Anyone can hear it!
Q. Can I view the slides you used in the seminar separately?
 Please check the slides at the link below!
 November Seminar Slides: http://bit.ly/3V6D41X
Who is this course right for?
A/B testing, often seen in job postings. For those curious about exactly what it is.
Those who want to hear about practical A/B test cases
For those who want to know tips and precautions when conducting practical A/B tests
People curious about what a Danggeun Market planner thinks between intuition and A/B testing.
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