Data Literacy for Workers: Using Data in My Work [Monthly Datalian Seminar Replay | March 2023]

Monthly Data Analyst Seminar 💡
March 2023 Monthly Datarian Replay!

Monthly Datarian Seminar
In March, we're covering Data Utilization Methods for Office Workers!

Datarian's March seminar is 🔍

Recommended for those who have these concerns ✅

• I want to try data analysis too... but I don't know where to start. Planners, marketers, designers, and other IT industry professionals
• Aspiring work pros who want to get advice from online mentors on how to utilize data in their work
• A working professional curious about data analysis tips from a 17-year veteran data analyst
• Students and job seekers who want to know how companies utilize data in practice

March Seminar Timeline ⏰

#Part 1 - How Office Workers Use Data

✔ Speaker Kwon Jeongmin

• 17-year Data Scientist
• I believe the world is made up of data, and with the goal of utilizing it effectively, I work in creating and researching various data analysis and utilization methods. I majored in Industrial Engineering and Computer Science at KAIST and POSTECH, and I perform data analysis across various industries. My published works include "People Who Weave Data: Data Scientists" (BJ Public, 2023) and "A Data Analyst's Number Sentiments" (Golden Rabbit, 2021). My translated works include "Bayesian Statistics Using Python" (Hanbit Media, 2014) and "Big Data Analysis Tool R Programming" (Acorn, 2012), and I supervised the translation of "Deep Learning Revolution" (Korea Economic Daily, 2019).

For working professionals, data is both distant and close - we'll discuss it along with practical use cases so you can properly understand what you really need to know.

#Part 2 - How Can I Utilize Data in My Work?

✔ Panelist Song Hye-jeong

• Datarian Content PD, Data Analyst / Former Ridi Data Analyst
• I started creating content after founding a startup, having previously worked in data analysis at a content company. I utilize data in every process of producing and publishing newsletters and YouTube videos to ensure that necessary information is delivered at the right time.

✔ Panelist Kim Minju

• Datarian Growth Marketer, Data Analyst / Former B2B Logistics Startup Swatch On Data Analyst, Performance Marketer
• I learned data analysis to find answers in the world without correct answers that I faced after starting a business. After working as a data analyst, I am now working on growing services based on data.

✔ Panelist Yoon Sunmi

• Datarian Service Planner, Data Analyst / Former Coupang, Hyperconnect, Kakao Data Analyst
• I'm now an 8-year office worker. Ironically, I've come to believe in the power of data even more while working with Datarian members on various tasks like marketing and service planning, compared to when I worked solely as a data analyst. I'm interested in conveying data analysis in a way that anyone can easily understand.

It's said that data literacy is important not just for data analysts, but also for other roles like planners, marketers, and designers. But what exactly should planners, marketers, and designers do and how should they approach looking at data in their companies?
Current data analysts will show you in an easy and fun way through examples how to start data analysis in companies with data analysts, companies without data analysts, and even companies that don't have data at all.

March Seminar
Participant Introduction 📖

Expected Questions Q&A 💬

Live participation reviews if you're
curious 👏

What was the most impressive content from the seminar?

• The content from Part 1 that explained in detail how to practically approach data, and the content based on actual experience that you shared, remains memorable.
• It was most interesting to hear the author of a book I enjoyed reading speak as a presenter and share their stories.
• The point that using data well means using data correctly was impressive.
• I was able to learn practical approaches to data access, which was great.
• I was impressed that how to ask good questions was about basic soft skills beyond just data-related work! I'll practice thinking about questions by considering the format of answers in advance😊😊
• During the Part 1 lecture, 'Viewing Results Correctly' was perhaps something I was aware of but always tended to overlook, so it made me think that I need to establish the right standards once again. The statement at the end that people who make efforts despite insufficient and difficult circumstances will appear more attractive was impressive.
• I really appreciated being able to relate to the points about what you can experience when working with data (that there's no perfect data and that purpose is important), and all the other content was excellent as well.
• After hearing that data needs to be defined meticulously and specifically, I was able to understand how vaguely data can be expressed.
• Even though I'm still a job seeker, it was great to hear vivid content related to actual work in the field.
• Listening to the questions and answers in Part 2 was helpful as it allowed me to think about what I can do in my current situation.
• The statement that stuck with me is that companies want to hire people who have taken direct action (and worked through solutions) in limited or less-than-ideal situations.
• The response to the last question was impressive. The point about how it's important to try to find a breakthrough even when the company environment isn't satisfactory really resonated with me.
• The panel talk in Part 2 was fun and all the answers to the questions were impressive!
• What I remember most is preparing solutions even when not all environments were fully set up. Besides that, I was satisfied with all aspects including data utilization and methods.
• Data utilization that once felt distant has become familiar!
• I learned about methods that can be applied in practical work, which was very helpful for me as someone preparing for employment.
• Sunmi's Seongsu-dong restaurant story 😊😊 Also, mentioning specific pages when recommending books was great. The case studies introduced by other panelists and the clear audio quality were also good :)
• From the perspective of someone who isn't a data analyst, the content about working with data analysts was really interesting! I usually encounter content about how to work as a data analyst, but this made me think about how people from other job functions must feel when they request analysis.

A word you'd like to say to Datarian!

• Having Datarian gives me a lot of support and it's really great to be able to learn within it. I love you, Datarian!
• Thank you for the great seminar and fun panel talk!
• Thank you always for the great seminars. Thanks to you, it seems like good perspectives are taking root.
• Thank you so much for preparing such a beneficial and motivating seminar! This is my first encounter with Datarian, and I'm excited to keep exploring what stories will unfold next :)
• Thank you for providing great content!
• Thank you for always conducting seminars on great topics.
• There was so much information about the job that it was difficult to choose what content was important, but it was great to be able to listen to organized explanations of the necessary content!
• The Datarian seminar is great because I can hear a lot of real-world industry stories, even if indirectly. I listen to it well every month :) Thank you!
• The seminar seems to have given me new motivation. I wanted to let you know that consistently creating opportunities like this is very helpful. Thank you :)
• I appreciated how you explained the points of curiosity in a calm, easy-to-understand manner with clear organization. I enjoyed this beneficial seminar.
• I learned a lot in a short amount of time! I had been pondering these issues, but when they were presented as questions, it really cleared things up for me, and I was able to focus well since it was content I was curious about. Thank you for sharing real-world examples that are hard to organize in writing, presented so concisely without any fluff. The panelists had great communication skills! Listening to the seminar built my trust in the materials you shared, so I'm definitely going to make sure to check them all out!
• It was a beneficial and enriching seminar. Thank you :)

2023 Monthly Datarian
Past Seminar Replay 📺