Enroll Course: https://www.coursera.org/learn/what-is-datascience-ko

In today’s data-driven world, the ability to extract insights and trends from data is more crucial than ever. If you’re interested in stepping into the realm of data science or enhancing your understanding of the field, the Coursera course titled ‘데이터 과학이란 무엇인가?’ (What is Data Science?) is a compelling option to consider.

This course begins with a historical overview of data science, illustrating its evolution from ancient times, when the Egyptians utilized census data for efficiency in tax collection and to predict flooding, to contemporary practices that are reshaping industries today. This historical context not only piques interest but also helps learners appreciate the foundational significance of data science.

The syllabus is thoughtfully structured into three main modules that progressively build your knowledge:

1. **Definition of Data Science and the Role of Data Scientists**: This module sets the stage for learning, as students review the course outline and gain insights from experienced data science professionals. Participants get a grasp of what data science is, what a data scientist does, and the tools and algorithms commonly used in the field. By the end of this module, you will complete an assignment that consolidates your understanding of why data science is touted as one of the most appealing professions of the 21st century.

2. **Topics in Data Science**: Here, students are introduced to essential skills needed for a career in data science through insights from Norman White, the Head of the Stern Center for Research Computing at NYU. This module is particularly valuable for those seeking to start their journey in data science, as it covers the fundamentals of data mining and regression analysis, encouraging practical application through assignments.

3. **Data Science in Business**: This final module connects theoretical learning with real-world application. It discusses how companies can initiate their own data science strategies, the key traits that distinguish data scientists, and the importance of analysis, storytelling, and presenting effective deliverables. You will also respond to open-ended questions that challenge you to apply your newfound knowledge practically.

Overall, ‘데이터 과학이란 무엇인가?’ serves as an excellent introduction to the multifaceted world of data science. Its blend of historical context, practical assignments, and expert insights make it suitable for both beginners and those looking to refresh their knowledge. I highly recommend this course to anyone interested in understanding the principles of data science and its application in various sectors.

Whether you are a student, a working professional, or simply someone curious about the world of data, this course is a stepping stone that can lead you towards a rewarding career in data science. Don’t miss out on the opportunity to explore this exciting field!

Enroll Course: https://www.coursera.org/learn/what-is-datascience-ko