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[Data Humanities] Think with Data

An easy-to-understand introduction to data lecture by Korea's first data humanist, Shin Do-yong! Let's learn data-based thinking to properly read and utilize massive amounts of data!

6 learners are taking this course

Level Beginner

Course period 12 months

Big Data
Big Data
Data literacy
Data literacy
Big Data
Big Data
Data literacy
Data literacy
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What you will gain after the course

  • Data Utilization

  • Data accident

The oil of the 4th Industrial Revolution is data.

  • Data analysis and utilization are no longer the domain of specialists, but rather a fundamental skill for all working professionals. But when it comes to data, where do you start? This course is an essential introductory course before learning data analysis techniques and tools. It offers solutions that will transform your perspective and viewpoint on data. If you're curious about what data is, cultivate data-driven thinking with this course!

After listening to all the lectures, we... 🙆‍♀️

  • You can understand the meaning of data and interpret it in context.
  • Data thinking allows you to analyze and fully utilize field data.
  • I am very good at making data-driven decisions when performing my work.

Lecture Features ✨

Data analysis also requires humanistic thinking.

People are the ones who create data! Humanistic thinking is essential to properly understand and analyze this human-generated data. Through a variety of real-life examples and practical exercises, we can shift our perspective on data.

■ Data starts with coding? No! Let's start by learning why data is important!

While data analysis courses using languages like R and Python abound, none truly explain why data is important and how to approach it. This course cultivates fundamental data-driven thinking skills, enabling even non-majors to easily and enjoyably approach the concept of "data."

■ The vividness of being in an actual lecture is a bonus!

By implementing the format of TV lecture programs such as "Somehow Adult" and "Different Classes," we deliver the vividness that students feel as if they are listening to an actual lecture.


What you'll learn 📚

First, Big Data Utilization and Analysis

  • The contribution areas and roles of big data
  • Business Use Cases
  • Why a Humanities Perspective is Necessary for Big Data Analysis

Second, data analysis and interpretation.

  • The importance of data analysis and interpretation
  • How to access data correctly

Third, data analysis methods

  • Demonstration of data analysis using Excel
  • The meaning, examples, and practice of data visualization

Fourth: The Future of Big Data

  • The development direction of big data
  • Data Scientist Capabilities
  • What does data-driven thinking mean?

Introducing the Knowledge Sharer ✒️

Hello! This is SK M&Service.

As the No. 1 Learning Partner leading the paradigm shift, we develop content focused on Future Tech (AI, DT) based on decades of expertise in capacity building.

Recommended for
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Who is this course right for?

  • All students and working professionals who are curious about what data is

  • Anyone who wants to use data to apply it to real life

Hello
This is skmns

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Curriculum

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20 lectures ∙ (2hr 2min)

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