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!
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.
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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
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