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How did a non-major become a data analyst? [Datalian Seminar Replay | January 2024]

Are you worried about whether you can become a data analyst as a non-major? Hear from a non-major senior analyst!

(5.0) 5 reviews

303 students

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This course is prepared for Beginners.

What you will learn!

  • 5 Steps to Getting a Job as a Data Analyst Without a Major

  • Analysis of 40 Data Analyst Job Postings

  • How to Prioritize Your Job Preparation

  • Job Tips for Creative Writing Major Data Analysts

Data analysis seminars conducted by industry analysts 💡
Watch the January 2024 Seminar Again!

📢 Please check before taking the class!

  • This lecture is a recorded video of the live seminar How did a non-major become a data analyst? held in January 2024 .

  • Part 1 Speaker Q&A and Part 2 Panel Talk are live-only sessions and will not be available for replay.

Datalian Seminar

In January, we're covering data analyst jobs !

Datalian Seminar January 2024_Main Slide

Datalian Seminar in January is 🔍

I recommend this to those who are having these concerns

  • For those of you who are not majoring in data science and are wondering how to prepare for a job as a data analyst

  • Are you curious about what the most commonly mentioned essential skills are in data analyst job postings?

  • Anyone who wants to hear stories about their job preparation from seniors who are working as data analysts

  • Anyone who wants to hear stories from current IT company data analysts

Lecture Introduction

# I'll tell you how a non-major became a data analyst. (feat. Graduated from Creative Writing Department)

Speaker Lee Bo-min

  • Datalian Data Analyst

  • Former Jobplanet Data Analyst

  • I worked as a data analyst at the recruitment platform Jobplanet, and now I work as a content marketer and data analyst at Datalian. I work to spread the word so that those who are curious about data analysis can easily and quickly access data analysis content that is close to practical use.

January 2024 Datalian Seminar_Bomin
January 2024 Datalian Seminar_Bomin_2

I graduated from the Department of Creative Writing and became a data analyst.
After becoming a data analyst, whenever I went to give lectures or give mentoring, job seekers would ask me, "How did you become a data analyst when you were not a major?" In this lecture, I will try to answer this question properly.
For those who are having trouble finding a direction for their job search, I will share with you the data from analyzing 40 data analyst job postings . If you are curious about the skills that are commonly found in data analyst job postings and how to develop those skills and capabilities, be sure to listen to this lecture.

Expected Questions Q&A 💬

Q. When is the Datalian Live Seminar? Where can I apply?

You can find the next seminar information on the Datalian website . You can also apply right away!

Q. Is there anything I need to prepare before listening?

No :D Anyone can hear it!

Q. Can I view the slides you used in the seminar separately?

Please check the slides at the link below!
January Seminar Slides : https://bit.ly/3HyOR4m

Q. Is replay of only Part 1 of the lecture available?

Yes, only Part 1 of the lecture is available for replay.
Part 1 Speaker Q&A and Part 2 Panel Talk are live-only sessions that can only be heard during the live seminar and replays are not available.

Live participation review
If you're curious
👏

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

  • It was very helpful to hear that you have to apply to find out if you are ready. You will know if you need to do more once you put it out in the market! I will have to apply for more.

  • I remember that the speaker's job preparation process itself was very much like that of a data analyst.

  • I liked the relatively detailed story of how a non-major became a data analyst, and the various experiences and practical tips I gained.

  • I liked how you explained in detail how a non-major could become a data analyst, step by step, how to utilize the skills I have, and how to learn if I don't have them. It gave me strength as a non-major!

  • What impressed me was that being a non-major is not a weakness, and that you should turn the soft skills you can bring out as a non-major into strengths, and that you should always be prepared for questions related to the relevance of your major and job.

  • Thank you for giving me an example of connecting seemingly unrelated things, which gave me a sense of how to write it specifically.

  • What I found most impressive and helpful was how to sort out what I have and what I lack, and how to fill in those gaps!

  • I was impressed by the job posting that told me to look into what kind of analyst I wanted to be and to apply without waiting.

  • I was impressed by the content that said that you have to apply to find out if it will work out or not. It was the content that made me think that you shouldn't put off applying just because you're preparing.

  • I had a vague idea that I should analyze job postings like data, but it was really helpful that you actually did it, and I was able to make a plan for what to prepare first.

  • What I remember is that it takes time to define not just the technology itself, but also what direction you will take as an analyst by utilizing it.

A word to Datalian!

  • This is my first time attending a seminar! I was at a loss as to how to prepare for a job in data analysis as a non-major... I think getting to know Datalian was my first stroke of luck this year! Thank you for the informative lecture! Thank you for your warm support...!

  • Thanks to attending the seminars for a few months, I feel like I can prepare for a job change without losing my direction. Thank you!

  • Thank you for your hard work today, and it was very informative!! I got to know Datarian while participating in the Datarian open chat room, and there are many good lectures, and I am gradually preparing for employment by reading blog posts one by one. I am grateful to those who have helped me in various ways during my difficult and lonely job search life :)

  • Thank you for preparing such an informative and in-depth seminar. I felt that you had done a lot of preparation in advance. Thanks to you, I learned a lot. Thank you for your hard work!

  • Thank you for always giving great lectures for data analysis beginners!

  • Datarian is like a ray of light!! Thank you so much for your help.

  • I had recently become interested in becoming a data analyst and was at a loss as to how to prepare, but I felt a bit relieved as it seemed like you gave me some direction.

  • It was a great time as it was a comprehensive lecture that taught me good content from data analysis to job hunting know-how!

  • It was a time of great enlightenment for me regarding my career as a data analyst. Thank you for the good energy and influence for everyone who wants to find insights from data!

  • I have become more confident after hearing directly about things I had only thought about! Please continue to provide many good lectures in the future.

  • Thank you for the great lecture. I recently found out about Datalian and attended the first seminar. I want to attend the next seminar too!

  • Datalian is awesome! I will continue to support you.

Recommended for
these people!

Who is this course right for?

  • For those of you who are not majoring in data science and are wondering how to prepare for a job as a data analyst

  • Are you curious about what the most commonly mentioned essential skills are in data analyst job postings?

  • Anyone who wants to hear stories about their job preparation from seniors who are working as data analysts

  • Anyone who wants to hear stories from current IT company data analysts

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Curriculum

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3 lectures ∙ (45min)

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