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

Inflearn cumulative students over 30,000, Datarian's SQL basics course with rich online/offline teaching experience. Learn SQL basic theory and solve 10 SQL problems together.

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🎁 Collection of reference links for preparing for a data analysis job

At Datalian, we hold seminars with industry analysts every month. We hold lectures, panel discussions, and interviews on various topics such as data analyst careers, job preparation, and practical cases. Thankfully, we receive many questions every month. Now, it has been over a year and a half since we started holding monthly seminars, so we have accumulated quite a few answers to questions that people preparing for data analysis jobs are curious about. As we answered the questions, we also found out that everyone's questions are similar.

 

"Can a non-major become a data analyst?"

"I heard that they only hire data analysts with a master's degree. Should I go to graduate school first?"

"What should I study first?"

 

If you have any questions like these, I think the links below will help you answer them.

 

  1. How do I create a data analytics portfolio?

https://bit.ly/3rbuR2O

 

  1. Will the Information Processing Engineer certification help me get a job as an analyst?

https://bit.ly/3O0ipvP

 

  1. What's the difference between a data engineer/analyst/scientist?

https://bit.ly/3D5So8i

 

  1. Do I need a certificate and enter competitions to become a data analyst?

https://bit.ly/44SIZgf

 

  1. If I want to become a data analyst, is it better to study development first?

https://bit.ly/3pGRj3G

 

  1. 8 Frequently Asked Questions by People Looking to Make the Job Transition to Data Analyst

https://bit.ly/3pGRjkc

 

  1. Data analysis seminar where you can hear 200% honest and realistic advice from industry analysts

 

The July seminar will feature Hyunseung Yang, a 5-year data analyst at Spoqa, as a speaker.

 

In Part 1, we will discuss what a one-person team data analyst does, and Hyunseung will share his know-how on how to streamline repetitive request tasks and conduct truly important analyses.

 

In Part 2, Hyunseung and Datalian analysts will answer your questions together. If you want to hear 200% honest and realistic advice from seniors about data analyst employment, job changes, work, and company life concerns, come see us at the July seminar!

 

👉 Apply for the seminar: https://bit.ly/3kmIEjK

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