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Data Analysis

Data Analysis Skills You Can Use Right Away in Practice [Monthly Datarian Seminar Replay | April 2022]

Don't miss Data Rian's packed April seminar, covering everything from revenue-generating sales analysis to the Cohort analysis framework.

(5.0) 3 reviews

127 learners

  • datarian
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What you will learn!

  • Upsell, Cross-sell Cases and Importance

  • Key Metrics and Examples for Sales Analysis

  • LTV Concept and Utilization

  • Concepts and Cases of Customer Segmentation Analysis

  • Concept and Cases of Cohort Analysis

📍Notice

  • This course will be converted to a free course starting Monday, June 2, 2025. Please note this before paying for the course.
  • For inquiries, please click the 'Contact Us' button at the bottom right.

Cumulative number of applicants: approximately 2,600!
Watch the hotly debated seminar in video format.

📢 Please check before taking the class!

  • This lecture is a recorded video (VOD) of the live seminar “Data Analysis Skills for Immediate Use in Practice” held in April 2022.
  • Includes replies to real-time chat that comes up during the live presentation.

Data Analysis in April
Let's talk about practical matters!
Monthly Datalian Seminar 🎤


April's Datalian Seminar is 🔍

Don't miss Datalian's April seminar, packed with information ranging from profitable sales analysis to cohort analysis frameworks.

“From coming to Avan* to signing a contract for Gran* full option”
Revenue, Paying User Ratio, ARPU, ARPPU, LTV, Up-selling, Cross-selling, Unit Price... Why are there so many technical terms related to sales? Because making sales is the most important thing for a company. We will talk about 'money-making' data analysis, from the basics of sales analysis to Up-selling/Cross-selling.

“Analysis is sluggish? Then try adding a cohort.”
On your first day at work, your team leader suddenly comes to your desk and asks, “We launched a service in January. Can you take a look to see if it’s going well?” He leaves a cup of coffee on your desk. The number of customers is increasing by 1,000 every month, and the average purchase amount per customer is 5,000 won in January, 4,300 won in February, and 4,500 won in March. Team leader, are we… going well?

I recommend this to those who are having these concerns ✅

  • I work as a data analyst, but I don't know which analysis method to use for my analysis.
  • I want to get a job as a data analyst, but I don't know exactly what this job involves.
  • I want to use data in my work, but how do I get started?

📺 In May, we'll talk about how to use visualizations to better present your data.


April Seminar Timeline

#1 - Data analysis skills that can be used right away in the field

  • “From coming to buy Avan* to signing a contract for the Gran* full option” _ Hyejeong
  • “Analysis is sluggish? Then try adding a cohort.” _ Sunmi

#2 - Q&A with 4 Data Analysts (Hyejeong, Seonmi, Minju, Bomin )

Expand the pre-questions answered in Part 2


Q1. I'm also curious about CLV utilization ! I know that CLV is predicted and utilized when selecting good customers or measuring marketing costs, but do you know all individual CLVs? Or do you roughly estimate it with average CLV? I'd also like to know the reason for choosing the method! Or do you use another analysis method?

Q2. Domain knowledge is said to be important for data analysts. How does the application of the same analysis technique differ depending on domain knowledge? Is there a way for data analysts to study domain knowledge?

Q3. I feel like it is more difficult to see and analyze various data for retention than for acquisition . I am curious about what data, including cohorts, are recommended for analysis.

Q4. From the perspective of a job seeker, I am curious about how to study analysis methodologies such as Cohort and AARRR.

Q5. How can I develop a business perspective ? Should I take a separate business class? Questions about methods, etc.

Q6. I'm curious about the process of deriving a hypothesis when a problem is given :)

Q7. What are the current trends in analysis techniques ?

Q8. I’m curious about insight derivation skills!

Q9. How can I select important analyses when analyzing data? If I go into too much detail, it feels like TMI (a waste of time), but if I don't go into too much detail, I'm worried that I'll miss out on important things!

Q10. Have you ever regretted your decision to become an analyst?

Q11. I'm curious to know when you feel the most rewarded in your job as a data analyst. :)




April Seminar
About the participants 📖

Part 1 Speaker <Hyejeong>

I started out as a data analyst at a content platform and am now the CPO of Datarian. I am passionate about creating and analyzing original content for Datarian.

Part 1 Speaker <Sunmi>

After working as a data analyst at Coupang, Hyperconnect, and Kakao, I am now the CEO of Datarian. Working with Datarian members has made me believe in the power of data even more.

Moderator, Panel
<Democracy>

After founding a shared housing startup and working as an analyst for a B2B logistics startup, he is now the CEO of Datarian. He is a young entrepreneur with experience from startup to exit. From the time he first started a company, he has constantly thought about business funnels, and he is currently designing and analyzing Datarian’s funnel.

Panel <Bomin>

Data worker on a recruitment platform. From creating data that never existed in the world to proposing business strategies using data and managing projects. I do all the AZ of what can be done with data.


Expected Questions Q&A 💬

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

You can check out next month's seminar information on the Datalian website . You can also sign up right away!

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

No :D Anyone can hear it!

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

Please check the slides at the link below!
April Seminar Slides: https://bit.ly/3Lrwzm6


In this seminar, we will provide Notion note-taking so that you can listen to the lecture while taking notes. Copy it to your personal Notion or watch it while taking notes on your tablet :)
Notion Notepad: https://bit.ly/3MpfyJc


Live participation review
If you're curious 👏

What was the most impressive thing you learned during the seminar?

  • This is an explanation of upselling and cross-selling. I was able to clearly understand how to sell which products specifically! I also liked the detailed explanation and examples of how to divide the cohorts in detail.
  • It was nice to learn that there are different analysis techniques and different interpretations of the analysis!
  • I liked how you explained it with easy examples, such as Avante, iPhone, Baemin, and KakaoTalk.
  • The content definitely contained things that are necessary for practical work, so for me, a new employee in my first year, it felt like I had met a kind senior.
  • I only knew it in theory, but I'm getting tips on how to modify and use it in practice.
  • Thank you for sharing your Notion notes, it helped me focus a lot!
  • I found the practical tips relatable and helpful!
  • I liked that you answered questions based on your field experience in Q&A.

A word to Datarian!

  • I think it would be great if you continued to hold seminars on various topics! Today was very informative, and I think I should attend all the previous seminars as well :) Thank you!
  • Thank you for sharing and preparing such good information! It was great to be able to get a lot of useful information!
  • I applied for the boot camp and thought that I was just wasting my money, but this seminar made me regret it right away and make a study plan! See you later!
  • The seminar content was informative and the way it was conducted was great. I am very satisfied because I feel like I learned useful information.
  • Thank you for preparing and conducting such a great lecture.
  • Datalian, fighting!

Last Monthly Datalian
Curious about webinars? 📺

Recommended for
these people

Who is this course right for?

  • Those who work as data analysts but don't know what analysis methods to use.

  • For those curious about what a data analyst does, whether seeking employment or a career change.

  • Those who want to use data at work but don't know how to start

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Curriculum

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5 lectures ∙ (1hr 51min)

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3 reviews

5.0

3 reviews

  • yijuyeon928330님의 프로필 이미지
    yijuyeon928330

    Reviews 5

    Average Rating 4.8

    5

    100% enrolled

    It was nice to hear about the actual analysis methods used.

    • jjhgwx님의 프로필 이미지
      jjhgwx

      Reviews 525

      Average Rating 4.8

      5

      100% enrolled

      Thank you for the great lecture!

      • isjoung52291님의 프로필 이미지
        isjoung52291

        Reviews 3

        Average Rating 5.0

        5

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        Thank you.

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