[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) 16 reviews

88 learners

Level Beginner

Course period Unlimited

Data literacy
Data literacy
Data Engineering
Data Engineering
data-transformation
data-transformation
EDA
EDA
Data literacy
Data literacy
Data Engineering
Data Engineering
data-transformation
data-transformation
EDA
EDA
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Reviews from Early Learners

Reviews from Early Learners

4.9

5.0

Jihong Kim

97% enrolled

I could conceptually understand what I knew empirically. I also look forward to your future lectures. Thank you for creating a great lecture.

5.0

by14.kim

100% enrolled

I gained a lot of learning. Thank you very much.

5.0

삐뽀삐뽀삐뽀

100% enrolled

Things were unclear when a dedicated data team was formed at the company, but now I know the direction to take.

What you will gain after the course

  • 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 keeyonghan

1,070

Learners

71

Reviews

41

Answers

4.9

Rating

5

Courses

After earning a Master's degree in Computer Science, my career began at Samsung Electronics and led me to Silicon Valley thanks to a friend. Over the past 29 years, I have worked at 13 companies across various stages (startups, major corporations, and numerous early-stage ventures).

  • Yahoo: Developed search engines as an Engineering Director.

  • Udemy. Built the data team from scratch and grew it to 30 people. Listed on NASDAQ in October 2021.

  • Samsung Electronics

  • ...

I took an 11-month break in between and built my own brand while unintentionally taking on roles such as an angel investor (Chartmetric, Goodtime.io, Select Star, EO, Business Canvas, ...), advisor (Moloco, Blind, Wolbu, ...), and consultant (SK Telecom, Hyundai Card, E-mart, etc.). I believe in the power of positivity to see failure as a lesson rather than just failure, and the power of compounding that comes from consistency.

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

YouTube Channel

Wolgeupjae-Bujadeul Lectures

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Curriculum

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35 lectures ∙ (5hr 36min)

Course Materials:

Lecture resources
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Reviews

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16 reviews

4.9

16 reviews

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          I could conceptually understand what I knew empirically. I also look forward to your future lectures. Thank you for creating a great lecture.

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