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Data Science

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Data Analysis

[Mentoring] Drawing the Future with Data: Data Literacy for All

For individuals or leaders interested in data, this is an introduction to what the data team does and what data literacy is, which represents an organization's ability to utilize data.

(4.9) 14 reviews

81 learners

  • keeyonghan9539
데이터드리븐
데이터를 보는 방법
조직문화
전략기획
Data literacy
Data Engineering
data-transformation
EDA

Reviews from Early Learners

What you will learn!

  • Essential concepts related to data literacy

  • Data-driven insights for business growth

  • [Mentoring] 1:1 Coaching for Applying Data Literacy (1 session)

Learning from a 30-year veteran Silicon Valley leader
Insights for Data Literacy

Healthy, growing organizations work data-driven!

Han Ki-yong, a leader with 30 years of experience in Silicon Valley, shares his thoughts.
How to create value from data

•••

The role of data (organization) is important to get closer to the essence of business .”

Experience gained from various careers
Ultimately, the key is "data"

After starting my career at Samsung Electronics, I moved to Silicon Valley at the age of 31. There, I started my own business and worked at startups both large and small, including Yahoo, one of the biggest tech companies of the time. Before I knew it, I was a Silicon Valley developer with 30 years of experience !

Having worked at 13 different companies across various stages, I've come to a common realization : long-term business growth and digital transformation are impossible without data ! Drawing on my extensive experience, I'd like to share insights on how organizations can collect, manage, and utilize data, and how to foster a data-driven organizational culture.

Data literacy is
It is an essential skill required in all jobs.

Data literacy isn't just a skill for data scientists and analysts. Many companies are striving to build a corporate culture that emphasizes data-driven decision-making. Now, leveraging data to create value is crucial across all functions .

That's why the title of the lecture is "Data Literacy for All."
This book will serve as a valuable guide not only for those managing data organizations, those pursuing a career in data organizations, or those looking to start one, but also for anyone who wants to think data-driven.

From lectures that contain the core
Intensive 1:1 coaching all in one place

Applying what you learn in class is a whole other level of realization, and sometimes the process isn't easy. To help you on that journey, we've included [1:1 coaching] in the curriculum.

[Lecture] Basic Concepts of Data Organization and Infrastructure

We cover the roles and skill sets of data organization members, from data analysts to engineers and scientists, as well as data infrastructure.

[Lecture] How to Create Data-Driven Value

We introduce how to create data-driven value in two aspects: data-driven decision-making and improving product/service quality.

[Lecture] Data Utilization Trends and Precautions

We introduce recent data-related trends and issues. We also discuss privacy issues that are emerging alongside data.

[1:1 Coaching] Applying Data Literacy

We'll discuss one-on-one how you or your organization can apply data literacy to the challenges and business you face.

Things to note before taking the course

Q. I purchased a course. Where can I find the mentoring coupon?

For this course, if the progress rate is 30% based on the number of lecture units, a coupon for one 1:1 mentoring session is provided .
Please check whether a mentoring coupon has been issued through 'KakaoTalk Notification' .

Q. Where can I apply for mentoring?

You can apply for the mentoring voucher by applying it to the ‘Available Coupons’ in the mentoring link .

Q. Is there an expiration date for mentoring coupons?

The mentoring coupon is valid for [1 year].
When you reach 30% progress, a mentoring coupon will be automatically issued, and is valid for one year from the date of issuance.

Q. What should I do if I want follow-up mentoring?

If you would like to receive follow-up mentoring, you can apply additionally on the mentoring page .

Recommended for
these people

Who is this course right for?

  • Managers and C-level executives who need data-driven decision making

  • Those preparing for employment or job change in the data industry

  • Those who want to develop data-based problem-solving skills

Hello
This is

853

Learners

49

Reviews

30

Answers

4.9

Rating

5

Courses

컴퓨터 공학 석사 후 삼성전자에서 시작된 커리어가 친구덕에 실리콘밸리로 이어져 지난 29년간 13개의 다양한 스테이지의 회사를 다녔습니다 (창업, 대기업들, 다수의 스타트업들).

  • 야후: 엔지니어링 디렉터로 검색엔진 개발.

  • 유데미. 데이터팀을 처음 만들어 30명까지 성장. 2021년 10월에 나스닥 상장

  • 삼성전자

  • ...

중간에 11개월 쉬어보기도 했고 본의 아니게 엔젤투자자(Chartmetric, Goodtime.io, Select Star, EO, 비지니스 캔버스, ...), 어드바이저(몰로코, 블라인드, 월급쟁이부자들, ...), 컨설팅(SK텔레콤, 현대카드, 이마트 등등) 등의 역할을 하면서 나만의 브랜드를 만들었습니다. 실패를 실패가 아닌 교훈으로 보는 긍정의 힘과 꾸준함이라는 복리의 힘을 믿습니다.

https://www.linkedin.com/in/keeyonghan/

유투브 채널

월급쟁이부자들 강의

Curriculum

All

35 lectures ∙ (5hr 36min)

Course Materials:

Lecture resources
Published: 
Last updated: 

Reviews

All

14 reviews

4.9

14 reviews

  • Jihong Kim님의 프로필 이미지
    Jihong Kim

    Reviews 1

    Average Rating 5.0

    Edited

    5

    97% enrolled

    경험적으로 알고 있던 것을 개념적으로 이해할 수 있었습니다. 앞으로 선생님이 만드실 강의들도 기대하고 있겠습니다. 좋은 강의 만들어주셔서 감사합니다.

    • 테디님의 프로필 이미지
      테디

      Reviews 22

      Average Rating 5.0

      5

      100% enrolled

      • s00.park님의 프로필 이미지
        s00.park

        Reviews 1

        Average Rating 5.0

        5

        31% enrolled

        • dlguswl127님의 프로필 이미지
          dlguswl127

          Reviews 1

          Average Rating 5.0

          5

          100% enrolled

          • by14.kim님의 프로필 이미지
            by14.kim

            Reviews 12

            Average Rating 5.0

            5

            100% enrolled

            많은 배움을 얻었습니다. 정말 감사합니다.

            Limited time deal ends in 4 days

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