[A hundred words are not as good as seeing once] Advanced SQL for data analysis
Inflearn cumulative students of over 30,000, Datarian's advanced SQL course with extensive online/offline teaching experience. Learn advanced SQL theory and solve 25 practice problems together.
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๐ข A hot side project these days will teach you how to view data.
I want to try a side project, but I don't know where to start.
Are there people who have ideas but can't get started because they don't even know how to verify the MVP?
In the August seminar of Monthly Datalian, 'How to View Data: Hot Side Projects These Days', we will hear vivid MVP verification cases from two speakers who created the app 'Skrr', which became a hot topic by beating out KakaoTalk and taking 2nd place in the App Store, and the 'Gmeme' service that makes it easy to search for Infinite Challenge memes .
If you are thinking about starting a business and would like to learn about the MVP verification case of an extremely early-stage product, extracting insights by looking at qualitative data such as user interviews and quantitative data measured using tools such as GA4 and Maze, and upgrading usability by 250%, don't miss this seminar.
1๏ธโฃ Unknown pain points through thorough research! Select MVP action items with data
_ Geumim PO, Fintech startup product designer Jeon Jeong-min
โ๏ธ 'Find Infinite Challenge memes here, How 'Geummim' improved usability by 250%' Go to the interview
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2๏ธโฃ Skrr, the app that achieved 2nd place in the App Store, how it utilized data when verifying the MVP hypothesis
_ Skrr(Skull) Founder Kim Hyun-jun
โ๏ธ Read the blog post 'Side project that beat KakaoTalk and reached 2nd place in the App Store in just 3 days after launch'
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If you have a colleague, friend, or acquaintance who might be interested in this seminar, please share the seminar news with them :)
๐ Go to the seminar (application deadline: Tuesday, August 15)
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๐ Apply for the seminar (application deadline is Tuesday, August 15)
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[Questions received so far]
โ๏ธ I'm planning to deploy the service this year, but is there anything I should keep in mind when operating a service from a side project? If you have any tips for operating it efficiently, please let me know.
โ๏ธ What data should I look at in the early stages of MVP launch? Please let me know if there is any data that I looked at in the early stages but stopped looking at later, or if there is any data that I think is new and important. (Summary: I'm curious about the data that I should look at in each product life cycle!)
โ๏ธ I would like to know about examples of using qualitative research and data together.
โ๏ธ I'm curious whether you took on all of the UI/UX, planning, and development, or whether you only took on specific tasks. I heard you created a team, so I'd appreciate it if you could tell me how you divided up the work and carried it out.
โ๏ธ How many users were there at the stage where you considered it a successful MVP?
โ๏ธ How many MVP tests are needed to complete a service?
โ๏ธ Even when implementing minimal services, should we still care about design for consumer perception?
โ๏ธ It seems like the core of MVP is collecting customer data. I would like to know the data collection method and tips for using tools.
๐ I want to know more about data analysis. If you want to see easy and fun data analysis content,
๐ Would you like to hear about data analysis news sent out free of charge every month?