How Should You Prepare to Become a Data Analyst? [Monthly Datarian Seminar Replay | February 2023]

Monthly Data Analyst Seminar 💡
Check out the February 2023 Monthly Datalian!

Monthly Datalian Seminar
In February, we'll be covering the story of finding a job as a data analyst !

Datalian Seminar in February is 🔍

I recommend this to those who are having these concerns ✅

• Students who are interested in working at IT companies and are exploring career opportunities
• Marketers, planners, and developers considering a career change to data analyst
• Are you curious about how the data analyst hiring process, interviews, and coding tests are conducted these days?
• For those who got a job in data analysis in 2022, I'm curious about how they studied and what kind of portfolio they created.

February Seminar Timeline ⏰

#1 - Data Analysis Projects, Why Are They So Difficult?

✔ Speaker Kim Min-joo

• Datalian Data Analyst
• Co-founded and exited shared housing startup Napster. Worked as a data analyst at B2B logistics startup SwatchOn, then founded Datarian.

From finding data to analyzing it and creating a portfolio, nothing is easy for a job seeker. I will share the data analysis project know-how of an industry analyst who is providing project feedback.

#2 - This is how I got a job as a data analyst in 2022

✔ Interviewee Damra

• Smart Order Platform Data Analyst
• I am in charge of data analysis for B2B, B2C, and O2O, and help make data-driven decisions based on the analysis. I am also in charge of planning using data.

✔ Interviewee Yoo Ga-yeon

• Fashion Platform Data Analyst
• I want to be someone who constantly asks questions and answers with data. I worked at a second-hand trading platform and now I am working as a data analyst at a fashion platform.

What should I prepare to get a job as a data analyst? We will talk about how they prepared for the job with two people who got a job as a data analyst in 2022. The job market is still changing rapidly. It is important to get the most up-to-date information. If you are curious about the hiring process and interview process for data analysis jobs these days, be sure to listen to this session.

February 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 only had a vague interest in data analysis, but the part where you explained the basics of what data analysis is really resonated with me! Also, the host chose the questions I was most curious about, so I was able to hear clear answers.
• What impressed me the most was how you taught me how to find data. I never tried it because I thought it would be pointless and I wouldn't do much of it manually, but I realized that there are more cases of analyzing data manually than I thought, and that there are many methodological things that can be gained in the process.
• I was impressed by the part where you summarized and showed us the mistakes that are often made when writing a portfolio.
• I was anxious because the job preparation period was long, but I gained a lot of strength from the words telling me to keep going to interviews and challenging myself without worrying about the number or level of completion of projects.
• When you say analysis project, you think there are a lot of hurdles, a lot to do, and a large scale, but it was nice to learn that it wasn't like that :)
• What impressed me most was how he taught me how to raise issues to solve a project.
• I really liked the part where you gave me tips on various cases needed to write a portfolio. Also, I was grateful that you gave me a different way to think about the direction of creating a portfolio through Notion and how you actively helped in the project rather than appealing the content of the project when doing a machine learning project.
• I had concerns about how to proceed with the project, but I felt like I could get a framework by being told step by step. I also liked that you shared tips on mistakes that are easy to miss and how to improve quality.
• I've always had a hard time deciding on a project topic, but it was interesting to define a problem based on my interests. I felt like I had found a clue!
• In Part 1, I was impressed by the detailed explanation of how to proceed with a data analysis project, and in Part 2, I was impressed by the opportunity to hear about the two people's employment experiences and thoughts.
• All of them were impressive, but I especially remember the interviews with Damra and Gayeon, who worked in data analysis positions in different directions and types. Thanks to the interview format and good questions, I was able to obtain vivid and helpful information.
• I was impressed by the fact that you got a job even though you didn't have any related certifications!
• I liked how well-organized the project was from the beginning, and it was great to hear vivid stories from people who recently found jobs!
• I was impressed by many aspects, such as project planning, posting on Notion/blog, and what good answers you gave during the interview.

A word to Datalian!

• Thank you for showing me an oasis on the daunting journey to becoming a data analyst.
• I thought it was really cool that you prepared each and every lecture and seminar with such care! I want to be like you!
• It was great to hear in detail the story of a working data analyst. Good luck to Datalian!
• It was great to hear directly from people who have walked the same path and have succeeded in finding employment. Thank you for providing such a helpful lecture.
• Thank you for the systematic, clean, and smooth progress.
• Thanks to Datalian, I feel like I can get closer to the data analysis job. Thank you!
• I liked that you covered even the little things that job seekers might be concerned about.
• I was satisfied with the way the content and progression of parts 1 and 2 were different while still conveying a consistent theme. Thank you for giving me this great opportunity :)
• Thank you for the great class and seminar! I will use what I learned from Datalian to succeed in getting a job!
• It's like a ray of hope for those who aspire to become data analysts!
• I was very satisfied with both the content and the way the seminar was conducted. Datalian is the best!
• It was nice to hear interviews with seniors who have recently found jobs in a conversational format. Thank you for hosting a great seminar this month as well^_^
• I look forward to more news about data analysts in the future 😊😊
• Thank you so much for creating so much great content related to data analysis :)
• This is my first time finding out about this, but I think there is a lot of good information, so thank you. Thank you for always providing quality content.
• Thanks for the great information about data analysis!
• Thank you for preparing such a valuable lecture.
• It was nice that things went smoothly even though many people answered. I always receive a lot of help :)
• It was a really informative two hours. Thank you!
• Thank you always for providing such a quality seminar.

2023 Monthly Datalian
Rewatch the last seminar 📺