[A hundred words are not as good as seeing once] Basic SQL for data analysis

 

Hello, this is Datarian Hyejeong.

Last month, we held a webinar on the topic, “How did 4 non-majors become data analysts?”
Thanks to the interest of many people, we were able to successfully conclude the event with over 200 participants.
If you were unable to attend the January webinar, you can purchase it on VOD from Infraon. Please refer to the link below :)
👉 [Monthly Datalian Web Seminar VOD] January 2022 Issue How did four non-majors become data analysts?

Looking at the pre-questions left by the participants, many of them were worried about how to write their resumes and portfolios. So in February, we prepared a webinar on the topic [ Data Analyst Resume that Leads Straight to an Interview ].

There are already a lot of questions left in advance, and I plan to answer them.

I don't have any experience as a data analyst. Can I compensate for it with a portfolio or something? If so, how should I prepare for it? I also wonder if passing a Python coding test or having a certification equivalent to it would be helpful.

I am curious about what parts of the 'data analysis team project' content that practitioners mainly look at when reviewing resumes or conducting interviews (e.g. quality of analysis insight derivation, availability of analysis tools, etc.)

For detailed information about the webinar, please visit the Datalian website.

✔️ Date : 7:00 PM - 9:00 PM, Tuesday, February 22, 2022
✔️ Participation fee : 10,000 won (Students/Job seekers: 5,000 won)
✔️ Go directly to the event registration : https://www.datarian.io/webinar

 

See you at the February webinar!