[A hundred words are not as good as seeing once] Basic SQL for data analysis

The Data Next Level Challenge (Data Level Challenge), a challenge for reading and recording recommended books related to data analysis, has returned for its 5th cohort.

This recommended book is the 12th Brunch Award 🏆 winner "UX Emerged After Data Struggles."

This book is a secret manual that generously shares the know-how of working in a data-driven way from a 17-year veteran product designer—insights that can only be provided by someone who has directly experienced hands-on work in the field.

Less than 50 days left in 2025! If you want to spend it meaningfully and productively, join us with Devel Challenge 🥰

📚 DevChall 5th Cohort Recommended Books

∙ 『UX Emerged After Data Struggles』 _ Written by Lee Mi-jin (Ranran)

✔ We recommend this challenge for these people
∙ Those curious about why designers, planners, and marketers need to understand data

∙ Those who want to know specific methods for working in a data-driven way
∙ Those who want to spend the remaining 2025 meaningfully

📌 How to Apply for the Challenge (Free, Application Deadline 11/23)
∙ https://dub.sh/5Qy11p6

If you have colleagues or friends around you who want to start studying data analysis, please share the news about this challenge.

Have you ever felt like you're studying data diligently on your own, but still relying on 'intuition' when it comes to actual work? You read books, take courses, and try things out in practice, but often it's hard to grasp what exactly it means to "work based on data."

Datarian has prepared a seminar to resolve that frustration.
In the November seminar, 17-year veteran product designer Lee Mi-jin (Ranran) will share 'How to work data-driven without data analysts' based on her direct experience at 7 small startups.

If you're curious about the vivid real-world cases and know-how that couldn't be fully covered in the Brunch Book award-winning work "UX Emerged at the End of Data Struggles", don't miss Datarian's November seminar "Data-Driven Design Without Data Analysts".

​

"Data-Driven Design Without a Data Analyst" Seminar

• Date: November 4th (Tuesday) 7:00 PM - 9:00 PM

• Location: Zoom Online Seminar

• Speaker: Lee Mi-jin (Ranran) — Author of 『UX Emerged After Data Struggles』, 17-year Product Designer

► Register for Seminar

​

We recommend this seminar for these people​

• Designers, planners, and marketers who want to work based on data

• Small startup practitioners without analysts

• All practitioners who want to persuade with data, not intuition

If you have team members, colleagues, or acquaintances who might need this seminar content, please be sure to share this link with them.

I'd like to share information about the free GA4 Hands-On Seminar that will be held next Tuesday evening.

I've prepared this for those who have resolved to learn GA4 this year but haven't started yet.

In just 2 hours at the seminar, you can install GA4 on your blog and check real-time data yourself.

✔ GA4 can be installed without development knowledge

✔ Hands-on, hands-on training with simple setup in just a few clicks

✔ Install GA4 on your Tistory blog and check real-time data

✔ You can ask practitioners directly about your GA4-related questions in the Q&A session.

📅 Seminar Information

• Event Date: 7/15 (Tue) 7:00 PM - 9:00 PM

• Location: Zoom Online

• Cost: Free

👉 Apply for participation

If you have a teammate or acquaintance who might need a seminar, please share the news with them :)

“ 🥲 Job hunting is so daunting. I wish I could just look at my seniors’ portfolios once.”

" 🙌 ​You can directly see the portfolios of successful seniors who found employment at Datarian's January seminar!"

From a portfolio that passed the entrance exam as a new 'marketer at a large corporation' without any relevant experience, to a portfolio that changed jobs from 'agency marketer' to 'in-house data analyst', we will reveal all the job-hunting secrets of our seniors who succeeded in finding a job despite the cold wave!

▼ Apply for the “Data Analysis Portfolio that Leads Straight to an Interview” Seminar
(1/14 (Tue) 7:00 PM - 9:00 PM, ZOOM Online)

https://bit.ly/4gZQHLk

• [Lecture] Revealing a portfolio that changed jobs from marketer to data analyst (feat. Department of Korean Language and Literature)
  _ Catch Table Data Analyst, Jiho Yoon

• [Lecture] How to Create a Data Analysis Project That Will Become a Weapon for Your Marketing Job

  
  _ Jaerim Lee, Marketer, Card Finance Team, Card Company

If you have friends, acquaintances, or colleagues around you who are struggling to prepare for employment, please share the seminar news with them.

Share January Seminar News ▶ https://bit.ly/4gZQHLk

Hello planners and marketers,
Has anyone seen the outdoor advertisement for Speak that covered Gangnam Station earlier this year?

It is not easy for a startup with a limited budget to plan and confirm outdoor advertising.

I would like to share a blog post written by 'Jung Du-hyeon', a Speak Branding Marketer, about the difficult process of planning, confirming, and executing outdoor advertising.

I think there are many people who are worried about the promotional plans for the year-end and New Year holidays.
I recommend that you read Duhyun's blog post and use it as a reference to learn how to persuade your CEO and team members.

✨ The story of covering Gangnam Station with outdoor advertising - Internal persuasion
https://bit.ly/4gUDIvj

✨ Internal Persuasive for Brand Campaigns
https://bit.ly/4eZ3yN1

If you attend the Datalian seminar held next Tuesday, you will also hear internal persuasion tips from IT startup practitioners, so if there are people around you who are interested, please share the seminar news with them 😀

✅ Watch the seminar 'Effectively Persuading My Plan Based on Data' on Tuesday, October 15th
https://bit.ly/4eMWVgC

Data analysts can be divided into ‘in-house data analysts’ and ‘consulting data analysts’ depending on the type of company they work for.

Next Tuesday (7/9) at 7 PM, there will be a seminar where you can learn about the differences between the two types of data analysts , with senior data analysts who have built their careers as consulting data analysts and in-house data analysts .

If you have a colleague or friend who is an aspiring data analyst or junior analyst who is worried about their first company or career, please share the seminar information 🙂

👉 Check out the seminar: https://bit.ly/3GmaJzu

Datalian July Seminar “Data Analysts, Which Company Should You Go To?”

📅 7/9 (Tue), 7pm ZOOM Online

✔ [Part 1 Lecture] This is what data analysts at consulting firms do _ Kim Seon-young, Executive Director of Market Fit Lab Solutions Division

✔ [Part 2 Panel Talk] What is the difference between an in-house data analyst and a consulting data analyst?

👉 Apply: https://bit.ly/3GmaJzu

Have you ever used ChatGPT? These days, with the emergence of various generative AIs in addition to ChatGPT, many people are receiving help in their work or daily lives. In this era, will data analysts soon disappear? What kind of preparation should we make for the generative AI era?

​

We will be talking with Naver Head of Data Science Jinyoung Kim, who has built his career in the U.S., at the Datarian May seminar. Don’t miss the panel talk with Datarian CEO Sunmi Yoon, who has built her career as a data analyst at various companies in Korea, including Coupang, Hyperconnect, and Kakao.

If you are curious about the future of data analysis and the role of data analysts in the AI era, be sure to register for this May seminar.

If you have a friend or colleague around you who needs this seminar, don't forget to share the news about it with them :)

📅 Apply for the Zoom seminar on Tuesday, May 14 at 3 PM

▶ https://bit.ly/3OeU85q

1⃣ [Lecture] “Data Science in the Age of Generative AI”

2⃣ [Panel Talk] “Career Guide for Data Analysts Who Want to Grow”

Hello, this is Datarian Bomin.

Since October of last year, Datalian has been running a challenge where students read books related to data analysis and write about them. This time in particular, we are openly recruiting challengers so that we can do this with more people who want to upgrade their data analysis skills 🙌 Anyone can participate in the challenge!

#DataNextLevelChallenge #DevelChallenge 1-minute summary

• Read recommended books from data analysts in the field and complete the mission of verifying your identity on SNS and Datalian Slack once a week.

• Anyone interested in data analysis can apply. If you have friends or colleagues interested in data analysis, please share the news of the challenge opening.

• It will be a 3-week challenge + retrospective meeting.

• There is no entry fee! Please prepare your own challenge book.

April Challenge Book: The Red Lie, Statistics

The April Challenge Book is an introductory book on statistics that explains statistical errors that can easily be made in real life in an easy and fun way.

I think I need to have basic statistical knowledge to effectively utilize data in my work .. I recommend this challenge to those who are wondering if there is an introductory book that is easy to read rather than a stiff and boring major book!
For more detailed information about the challenge and how to apply, please check the link below :)
👉 https://bit.ly/3IHTQQJ

Are you curious about what kind of camp the data analysis camp that includes challenges after the end of the semester is?

Get insights and tips from data analysts from Jobplanet, Coupang, and Ridibooks.

✅ Check out the 'SQL Data Analysis Camp' (~until 3/15, 30% early bird discount)
https://bit.ly/3RiEl79

✅ Check out the 'GA4 Data Analysis Camp' (until 3/15, 30% early bird discount)
https://bit.ly/3VcOJ2E