강의

멘토링

커뮤니티

Data Science

/

Data Analysis

[A Hundred Words are Not as Good as Seeing Once] SQL Practical Guide for Data Analysis (Free Mini Course)

Datalian's SQL practical lecture with over 10,000 cumulative students and rich online/offline lecture experience. How is SQL used in practice? Let's become a data analyst who solves problems using real data from Microsoft's Yammer service.

(4.8) 82 reviews

8,627 learners

SQL
kakao-service

Everything You Need to Know About Hiring a Data Analyst: From Resume to Interview

Datalian's August seminar is coming up next week.

This month’s seminar topic is “Everything About Hiring Data Analysts: From Resume to Interview . We will be discussing the hiring of data analysts with My Real Trip Data & Insight Lab Director Seunghwa Yang and OP.GG Data Chapter Lead Jeonghwan Yoon.

If you are curious about how to write a resume, what kind of analysts they want to hire from a hiring perspective, and how to prepare for an interview, please apply!

In Part 2, we will take the time to answer the questions you have sent us. Please write down any questions you have when you fill out the application form. See you next Tuesday (8/30) at 7pm!

Seminar Schedule

  • Date: 8/30 (Tue) 7:00 PM - 9:00 PM
  • Location: Online Zoom meeting room
  • Participation fee: 10,000 won
  • Application Deadline: 23:59 on Monday, August 29

:point_right: Click here to apply for the August seminar (Click!)

Questions received so far!

  1. The domain of My Real Trip can be seen as travel and tourism. Can we say that a data analyst with basic knowledge of the domain does a better job? I am curious if there was a case where domain knowledge of travel and tourism was combined with actual data analysis !
  2. I am considering a graduate school (special graduate school) while working in data-related fields to become a data analyst/scientist. I also considered a government-funded program (boot camp), but I thought graduate school would be better. I wonder if graduate school would be a big help to my career .
  3. I want to work with data , so I studied statistics, machine learning, and deep learning. Will I be able to appeal if I apply for a data analysis position such as KPI management and funnel analysis?
  4. Looking at the seminars, it seems like many of them are people who switched from other jobs to data analysts. I also saw many people emphasizing domain knowledge. I am preparing for my first job, so I have no domain knowledge. Will that be a disadvantage in the job market? In addition, there are many career-related job postings. I feel like I have no place as a newbie who has no social experience.
  5. What are the most sought-after skills for entry-level data analysts?
  6. I am currently a new data analyst, but I have not been able to do any related practical work because there are no senior analysts in the company and the data structure is not properly established. How should I approach preparing for a job change ?
  7. I'm curious to know if there is a point of view that you consider most important when hiring for a data analyst career .
  8. I would like to know what competencies are required for applicants who want to transition from other positions to analysts, how to verify them, etc.
  9. I'm a marketer. How can I move on without any data-related experience ?
  10. I'm curious about tips for transitioning from a planner to a data analyst .
  11. I'm curious about what you look at in a resume and what criteria you use to determine which applicants are accepted and which are rejected in the document screening process!
  12. I'm curious about what you mainly want to verify in a data analyst interview and how applicants should prepare for it.
Comment

Free