The Beginning of Persuasion: How to Present Data Properly [Monthly Datarian Seminar Replay | May 2022]

Cumulative number of applicants: approximately 2,600!
Watch the hotly debated seminar in video format.

In May, we'll be talking about data visualization!
Monthly Datalian Seminar 🎤

Datalian Seminar in May is 🔍

I recommend this to those who are having these concerns ✅

• I tried drawing a chart with the data, but I'm not sure if I did it well.
• I need to create a data analyst portfolio, but I'm at a loss as to how to present my analysis results.
• I'm curious about how to write data analysis reports to be intuitive and persuasive.
• What makes a good data visualization? It depends on the situation, but I'd like to know the general criteria.

May Seminar Timeline ⏰

#1 - The Beginning of Persuasion, How to Present Data Properly

✔ "Data Visualization Story"

• Yeon Sa-gumi - 25 years of experience as an engineer, UX designer / working at pxd. I am interested in data visualization and interaction design.
• Part 1: Lecture video of Mr. Gungum Lee is not provided, only lecture materials (PPT) are provided.

We introduce how to visually represent data correctly without distorting it.
I'm going to talk about some things to consider when trying to capture numbers in color, shape, placement, and movement.

✔ "Create reports with data using Google Spreadsheets"

• Speaker Seonmi Yoon - 7th year data analyst / Worked at Coupang, Hyperconnect, Kakao, and now at Datalian.

🤯 I did some data analysis, but it's hard to convince..
We will talk about the know-how on how to effectively communicate data analysis results and persuade others. If you are someone who needs to persuade your boss, colleagues, or clients with data, pay attention to this presentation!

#2 - Q&A

May Seminar
About the participants 📖

Expected Questions Q&A 💬

Live participation review
If you're curious 👏

What was the most impressive thing you learned during the seminar?

• I was impressed by the part where you said that you must consider the audience and purpose of the report! It seems like a basic principle, but it seems like something that is always overlooked. And I was impressed by the part where you said that the content is more important than the data analysis tool!
• It was good to know that Google Spreadsheets are being used more in the workplace, so I can refer to it when I'm preparing for a job in the future. Homie can do what Homie can do..!
• The lecture was very informative overall! It was also very helpful that you pointed out common mistakes that people make when writing reports.
• How to Write a Report - Write concisely what the other person wants!
• I am learning Python during the data analysis process, and it is good to learn about practical aspects that are useful for Excel and Google Sheets.
• The fact that you can do efficient visualizations with just Google Spreadsheets, and that SQL comes before visualization tools.
• I could see the difference between reports and dashboards. I could see what Google Spreadsheets are used for.

A word to Datarian!

• I am always grateful that Datalian holds such a monthly seminar tailored to data analysts. I look forward to more great seminars in the future!
• Through this opportunity, I learned to remind myself of the "goal of analysis" and to have the mindset to proceed by reducing the portfolio as neatly as possible :) I hope that I will have the opportunity to meet you in a work-related manner after I successfully get a job in the future⋯ I want to meet a mentor and supervisor like Datarian!
• I'm currently looking for a job in data analysis, but I don't have any seniors in related fields around me, so I was at a loss and worried about whether I could do it. But I think the lecture helped me resolve a lot of that! I hope that one day I'll be able to attend a lecture as a data analyst 😊😊
• I am growing every month as I listen to it. Thank you.
• I liked the way the seminar was conducted, which was stable. Since I had written notes, I was able to understand the overall framework and listen to the seminar, which was well structured. I liked that I could quickly get answers to my questions through chat.
• I liked that the lectures and examples were based on the content of the actual work! I also liked that the way it was conducted was not a boring lecture, but rather in a comfortable atmosphere with continuous communication! I want to continue listening in the future 😊😊
• I liked the story about data analysis at the company. I also want to prepare hard and work in the field.
• It was great to learn about the things that people who have been working in the field for a long time have learned and realized.

Monthly Datalian
Watch the last seminar together 📺