How to Create a Data Analysis Portfolio That Stands Out to Interviewers [Datarian Seminar Replay | May 2026]

Portfolios are an essential element for landing a job as a data analyst! If you've been feeling overwhelmed about how to prepare, get some tips from this seminar.

5 learners are taking this course

Level Beginner

Course period 12 months

Big Data
Big Data
Portfolio
Portfolio
Big Data
Big Data
Portfolio
Portfolio
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What you will gain after the course

  • Data analysis project workflow

  • Tips for creating a data analysis portfolio

Data Analysis Seminar Conducted by Working Professionals 💡
May 2026 Seminar Replay!

📢 Please check before taking the course!

  • This course is a recorded video of the How to Create a Data Analysis Portfolio That Catches the Interviewer's Eye” live seminar held in May 2026.


  • Part 2 Q&A is a Live-only session, and a replay will not be provided.

Datarian Seminar

In May, data analysis portfolios will be covered!

2026년 5월 데이터리안 세미나_다시보기

The May Datarian Seminar is 🔍

We recommend this to those who have these concerns

  • Job seekers who are curious about how to prepare a portfolio for a data analyst position

  • Career changers who are worried about not having any data analysis projects

  • Those who are struggling with how to revise their applications after repeatedly failing the document screening process

  • Anyone who is curious about data analysis portfolios

Lecture Introduction

# How to Create a Data Analysis Portfolio That Catches the Interviewer's Eye

Speaker Hyejung Song

  • Current) Datarian Data Analyst

  • Former) Ridi Data Analyst

  • I started creating content after founding a company, following a career in data analysis at a content company. To ensure necessary information is delivered at the right time, I utilize data in every step of the process, from producing to publishing newsletters and YouTube videos.

2026년 5월 데이터리안 세미나_1부 강연 (1)
2026년 5월 데이터리안 세미나_1부 강연 (2)

Are you struggling with job postings that demand "entry-level candidates with experience"? The secret to a winning portfolio is already hidden within the 'job description' itself.

In this lecture, I will share strategic methods for analyzing job postings and including only the specific skills the company wants in your portfolio. Get all the tips for planning and completing an attractive portfolio that catches the interviewer's eye in the fastest way possible without getting lost.

Anticipated Q&A 💬

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

You can find information about the next seminar on the Datarian website. You can also sign up right away!

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

None :D Anyone can listen!

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

Please check the slides at the link below!
May Seminar Slides: https://dub.sh/BXSdEpB

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

Yes, a replay is provided only for Part 1 of the lecture.
Part 2 Q&A is a Live-only session, which can only be heard during the live seminar and will not be available as a replay.

Curious about the
live participation reviews?
👏

What was the most memorable part of the seminar?

  • I liked that you provided detailed information on portfolio creation, such as structure and domain selection. It was also great that you explained the differences between entry-level and experienced positions.

  • It was a great time because you shared so many tips based on your experience! In particular, the advice that I need to know myself accurately and find my own direction gave me a lot of strength today!


  • The most impressive part was how much my existing perspective on portfolios changed through this seminar. I was very satisfied because I was able to get a lot of realistic and practical advice.

  • The most impressive part was not just the structure of the portfolio, but the content on how to approach and organize the projects that go into it!

  • The detailed explanation of precautions when organizing a portfolio and the realistic number of projects to prepare was very impressive.

  • As an aspiring data analyst, I had many worries and concerns about which projects to include in my portfolio, so I really appreciated that you addressed those parts in such detail :)

  • It was a very helpful lecture that condensed and detailed everything needed for employment in a short amount of time, from analyzing job postings to portfolio writing methods and interview preparation.

  • It was helpful to learn that it's good to include achievements as relative percentages and to restructure portfolios or projects based on the wording of job postings; these feel like the next steps I should take. Also, you mentioned comparing my portfolio with job postings to see what's missing, which is something I hadn't thought of, so I plan to try that out.


  • The parts about tool selection and choosing a topic suitable for those tools when preparing a portfolio were impressive because I hadn't thought of them before.

  • As a beginner who hasn't even started a project yet, it was great to hear detailed information about the table of contents and format for a portfolio that felt overwhelming.




A word for Datarian!

  • I think Datarian's greatest strength is that they provide content that is much closer to real-world practice compared to other data analysis educational institutions. In the current job market, where one cannot simply spend an indefinite amount of time, they always focus their lectures and seminars on what to prioritize and how to prepare, which I believe is especially helpful for those preparing for data analysis roles. Thank you for always providing such great information! haha

  • Thank you so much for hosting the seminar! I learned a lot thanks to you

  • Thank you for always hosting seminars with such great topics!!

  • Thank you for providing various lectures for free or at a low cost. Thanks to you, I think "lost sheep" who don't know the first thing about data are able to find their way haha. As a non-major, I felt so overwhelmed, but I will try to put your advice into practice one by one and succeed in getting a job. Please continue to create many great lectures in the future!!

  • It was great to gain new insights as other people's questions covered areas I hadn't thought of, providing answers to things that hadn't even crossed my mind!

  • The format and seminar content aligned well with the expected topics, and the progression was smooth. I also liked that the content seemed to be thoroughly prepared.

  • Thank you for always providing great lectures. I will work hard so that I can participate in a Datarian student testimonial interview in the future.

  • Thank you for always consistently creating great content. As a non-major preparing for employment alone, I had difficulty obtaining information, but I am receiving a lot of help thanks to Datarian!!

  • They say there's a person behind the monitor. It's reassuring to think that the Datarian team is there behind the screen as my mentors. I will continue to grow with the help of Datarian. Thank you.

  • Thank you so much for always bringing up interesting topics and explaining them in a way that is easy to understand!



Recommended for
these people

Who is this course right for?

  • A job seeker who is curious about how to prepare a portfolio for a data analyst position.

  • A career changer worried about the lack of data analysis projects.

  • Those who are struggling with how to revise their application after repeatedly failing the document screening process.

  • Anyone curious about data analysis portfolios

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