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[백문이불여일타] 데이터 분석을 위한 기초 SQL
데이터리안
인프런 누적 수강생 10,000명 이상, 풍부한 온/오프라인 강의 경험을 가진 데이터리안의 SQL 기초 강의. SQL 기초 이론을 배우고, 해커랭크 문제 10개를 함께 풀어봅니다.
입문
SQL, MySQL
We share the case of Datalian, founded by 4 data analysts, on how they analyze data, configure dashboards, and utilize data for action!
Examples of using data for action
Data Analysis Methods for Action
Dashboard Creation Know-how
Dashboard Cases
📍Notice
Cumulative number of applicants: approximately 2,600!
Watch the hotly debated seminar in video format.
📢 Please check before taking the class!
📺 In November, we talk about the foundation for creating actions with data!
Are you just staring at your data because you don't know how to use it? Datalian introduces examples of how to analyze data and take action.
Have you created a dashboard but it is not being used and is moving further and further away from data-based decision making? How should you plan a dashboard to contain only important information? How should you display data to check data more effectively? How should you handle the numerous additional requests derived from the dashboard? We will share the know-how of dashboard creation through the case of Datalian, started by four data analysts.
Q1. I am planning to introduce GA4 to analyze customer behavior patterns. Is there any reference material for introduction?
Q2. How detailed should GA4 events be set?
Q3. Can the data seen in the GA4 dashboard be implemented as is in Data Studio?
Q4. What is the most inconvenient thing about GA4?
Q5. I would like to conduct a study on dashboards in-house. How can I study in a way that will help me in my work?
Q6. Can the data analysis method that leads to action be applied to side projects? I always felt sorry that side projects ended up as analysis without action, so I am very curious about the method.
Q7. Have you ever had separate roles for analyzing and providing data and for taking action based on actual data? In that case, how did you communicate?
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.
Co-founded and exited shared housing startup Napster. Worked as a data analyst at B2B logistics startup SwatchOn, then founded Datarian.
I worked as a data analyst at content company Ridibooks, and am currently the founder of Datalian, where I am engaged in data analysis and content production.
After working as a data analyst at Coupang, Hi-Connect, and Kakao, I am currently working at Datalian, providing data analysis consulting and training.
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!
October Seminar Slides: https://bit.ly/3yyRK1d
Who is this course right for?
Someone who wants to know actual examples of what data other companies analyze and use for decision-making
Anyone curious about how to analyze data to gain insights
Those who are wondering what metrics should be used to configure a dashboard when asked to create one.
Those unsure how to build a dashboard and share data
33,003
Learners
2,900
Reviews
23
Answers
4.9
Rating
40
Courses
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6 lectures ∙ (1hr 52min)
5. Part 2 - Q&A
22:29
All
2 reviews
Free
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