Data analysts can be divided into ‘in-house data analysts’ and ‘consulting data analysts’ depending on the type of company they work for.

Next Tuesday (7/9) at 7 PM, there will be a seminar where you can learn about the differences between the two types of data analysts , with senior data analysts who have built their careers as consulting data analysts and in-house data analysts .

If you have a colleague or friend who is an aspiring data analyst or junior analyst who is worried about their first company or career, please share the seminar information 🙂

👉 Check out the seminar: https://bit.ly/3GmaJzu

Datalian July Seminar “Data Analysts, Which Company Should You Go To?”

📅 7/9 (Tue), 7pm ZOOM Online

✔ [Part 1 Lecture] This is what data analysts at consulting firms do _ Kim Seon-young, Executive Director of Market Fit Lab Solutions Division

✔ [Part 2 Panel Talk] What is the difference between an in-house data analyst and a consulting data analyst?

👉 Apply: https://bit.ly/3GmaJzu

Hello, this is Datarian Bomin.

Since October of last year, Datalian has been running a challenge where students read books related to data analysis and write about them. This time in particular, we are openly recruiting challengers so that we can do this with more people who want to upgrade their data analysis skills 🙌 Anyone can participate in the challenge!

#DataNextLevelChallenge #DevelChallenge 1-minute summary

• Read recommended books from data analysts in the field and complete the mission of verifying your identity on SNS and Datalian Slack once a week.

• Anyone interested in data analysis can apply. If you have friends or colleagues interested in data analysis, please share the news of the challenge opening.

• It will be a 3-week challenge + retrospective meeting.

• There is no entry fee! Please prepare your own challenge book.

April Challenge Book: The Red Lie, Statistics

The April Challenge Book is an introductory book on statistics that explains statistical errors that can easily be made in real life in an easy and fun way.

I think I need to have basic statistical knowledge to effectively utilize data in my work .. I recommend this challenge to those who are wondering if there is an introductory book that is easy to read rather than a stiff and boring major book!

For more detailed information about the challenge and how to apply, please check the link below :)
👉 https://bit.ly/3IHTQQJ

Are you curious about what kind of camp the data analysis camp that includes challenges after the end of the semester is?

Get insights and tips from data analysts from Jobplanet, Coupang, and Ridibooks.

✅ Check out the 'SQL Data Analysis Camp' (~until 3/15, 30% early bird discount)
https://bit.ly/3RiEl79

✅ Check out the 'GA4 Data Analysis Camp' (until 3/15, 30% early bird discount)
https://bit.ly/3VcOJ2E

Hello, I'm Bomin, a data analyst 😊
I graduated from the Creative Writing Department and started working as a data analyst.

When I listen to the difficulties of people preparing for employment these days, I feel like the situation has not changed much since I was preparing for employment. In this article, I will answer the questions frequently asked by those who are starting to prepare for employment as a data analyst.

Q. What skills are needed for a data analyst?

A. To find the competencies required for a data analyst position, you should carefully look at the job posting. This is because the job posting is a document that officially lists the role, competencies, and skills that the company wants from the person who will work as a ‘data analyst.’

If you look at the job posting, especially the 'Qualifications' and 'Preferred Qualifications' sections, you can learn more about the capabilities and skills required to work in this position.

If you want to know what skills are needed for a data analyst, I recommend you collect the data below and check it out for yourself.

1. We are collecting job postings for data analysts.

2. Look for commonly mentioned skills in the ‘Qualifications’ and ‘Preferences’ sections.

3. Find out which skills are mentioned more in the ‘Qualifications’ section.

If this process is too cumbersome, I will share with you job posting data directly analyzed by field data analysts.

You can see the data from 40 data analyst job postings analyzed in the link below .

👉 https://bit.ly/3Hj5HE9

If you are wondering how to properly utilize this data,
Come to Datalian’s January seminar to learn the know-how of getting a job as a data analyst as a non-major.
I'll tell you some job-hunting tips from non-major data analysts who graduated from the Department of Creative Writing and the Department of Social Welfare.

Apply for the January seminar 'How did a non-major become a data analyst?'
👉 https://bit.ly/3GmaJzu

Monthly Datalian's October seminar "Creating an Environment Where Data Quickly Leads to Action" is back next Tuesday. In this seminar, Datalian's Minju and Hyejeong will discuss how to conduct data analysis that leads to action and how to create a dashboard that helps with data-based decision making.

1️⃣ GA4 Data Analysis Leading to Action _ Minju Kim

2️⃣ The Dashboard is Alive: Reviving a Dead Dashboard _ Song Hye-jeong

Seminar Schedule

• Date: 10/11 (Tue) 7:00-9:00 PM

• Participation fee: 10,000 won

• Location: Zoom Meeting Room

• Application Deadline: ~ 10/10 (Mon) 23:59

👉 Click here to apply for the October seminar!

I recommend the October seminar to these people.

👀 I want to know real-world examples of how other companies analyze data and use it to make decisions.

😭 I have GA4 data, but I can't use it. I wonder how I can analyze it to derive insights.

📈 I want to create a dashboard, but I don't know what metrics to use to compose the dashboard.

😢 I've been working hard on the dashboard, but I've noticed that people are increasingly not looking at it. I'm at a loss as to how to create a dashboard to share data in the future.

Datalian's August seminar is coming up next week.

Data visualization tips from a UX designer with 25 years of experience!

Datalian's May Seminar, "The Beginning of Persuasion, How to Properly Present Data"  In this article, we will discuss how to do data visualization well and how to communicate the extracted data well.

In Part 2, we will have time to answer the questions you sent us. Please write down any questions you have when you fill out the application form. If you are curious about data visualization tips from a 25-year UX designer and a 7-year data analyst, see you on Tuesday, May 31 at 7 PM!

Seminar Schedule

• Date: Tuesday, May 31, 7:00 PM - 9:00 PM
• Participation fee: 10,000 won
• Location: Zoom Meeting Room
• Application Deadline: ~ 9:00 AM, Tuesday, May 31

Click here to apply for the May seminar (Click!)

Questions received so far!

1. Why do we visualize? Is it to please the eyes?
2. I need to create a data analyst portfolio, but I'm at a loss as to how to present my analysis results.
3. Is there a separate persuasive dashboard?
4. What visualizations help us make decisions?
5. What is the most used data visualization tool in your field?

The early bird 30% discount for SQL Data Analysis Camp ends on 4/30 (Sat).

(8-week course / Regular price 858,000 won, Early bird discount price 596,000 won)

This is your last chance to attend the live class at an early bird price. Starting next month, the early bird discount policy for live classes will be eliminated, and you can only register at the regular price. If you have been interested in SQL, data analysis, retention analysis, and funnel analysis, why not start studying this opportunity?

Many IT professionals including marketers, planners, and data analysts, as well as students and job seekers who want to become data analysts, are participating in the Datalian SQL Data Analysis Camp. Check out the blog reviews and student interviews at the link below!

📍 For existing Infraon SQL students, we will provide a discount equivalent to the regular price of the Infraon lecture. For those whose lecture registration period has ended, we will extend the registration period.

📍 Check out our SQL Data Analysis Camp: https://bit.ly/3OMVuTh

thank you!

Yoon Seon-mi Dream