These days, hot side projects and ways to view data [Monthly Datarian Seminar Replay | August 2023]

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".

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"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

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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.

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 _ Market Fit Lab Solution Business Division Managing Director Seonyoung Kim

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

👉 Apply: https://bit.ly/3GmaJzu