데이터 과학이란 무엇인가?

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

Introduction

**Course Review: "What is Data Science?" on Coursera** In an era where data underpins virtually every decision in business, science, and technology, understanding the intricacies of data science has never been more essential. "What is Data Science?", offered on Coursera, is a comprehensive course designed to shed light on this fascinating field, originating from ancient practices and evolving into a sophisticated profession today. ### Course Overview The course dives deeply into the foundations of data science, delivering insights from industry practitioners who highlight the importance and versatility of data in the modern context. You’ll not only learn about the definition and scope of data science but also engage with the tools and algorithms that professionals use daily. Throughout the course, there’s an emphasis on the practical applications of data science in various disciplines, underscoring its relevance and demand in today's job market. ### Syllabus Breakdown The course is structured into several engaging modules: 1. **Defining Data Science and the Role of Data Scientists:** In this module, the course begins by discussing the objectives and framework of the syllabus itself. Learners will explore the definition of data science and the daily responsibilities of a data scientist. They will also gain an understanding of the algorithms and tools frequently employed in the field. Completing a written assignment towards the end of this module will allow students to reflect on why data science is considered one of the most attractive careers of the 21st century. 2. **Key Topics in Data Science:** This module features insights from Norman White, the head of the Stern Center for Research Computing at NYU. He imparts valuable advice for those aspiring to build a career in data science, including essential skills and strategies. Participants will have the chance to practice data mining with a provided dataset and learn about regression analysis through a hands-on task. 3. **Data Science in Business:** The final module focuses on the corporate aspect of data science. It covers the prerequisites for companies to begin harnessing data science effectively, differentiating data scientists from other professionals. Participants will learn about crucial analytical processes, storytelling in data presentation, and the significance of crafting effective final outputs. A subjective question will prompt students to apply their learned knowledge and synthesize insights gained throughout the course. ### Overall Review "What is Data Science?" offers a well-rounded introduction to the field, making it suitable for beginners as well as those looking to brush up on their foundational knowledge of data science. The inclusion of industry experts provides real-world context, while the structured assignments enhance the learning experience through practical application. ### Recommendation I highly recommend this course for anyone curious about delving into the world of data science. Whether you’re an absolute newcomer or someone considering a shift in your career, this course will equip you with the essential knowledge and insights needed to understand and appreciate the power of data. The skills you learn will not only enhance your career prospects but also empower you to engage with the data-driven world effectively. In conclusion, if you are eager to explore what makes data science such a critical and exciting field today, "What is Data Science?" on Coursera is an excellent place to start. Enroll today and begin your journey into the exhilarating world of data science!

Syllabus

데이터 과학 정의 및 데이터 과학자가 하는 일

이 모듈에서는 이 과정에서 학습할 내용을 알아보기 위해 과정 계획서를 살펴봅니다. 또한 데이터 과학 전문가로부터 데이터 과학의 정의, 데이터 과학자가 하는 일, 데이터 과학자가 매일 사용하는 도구 및 알고리즘에 대해 들어봅니다. 마지막으로, 문서 과제를 완료하여 데이터 과학이 21세기 가장 매력적인 직업으로 여겨지는 이유를 알아봅니다.

이 모듈에서는 New York University의 Stern Center for Research Computing 학부장인 Norman White가 데이터 과학과 이 분야에서 경력을 쌓는 데 관심이 있는 사람에게 필요한 기술에 대해 이야기하고, 데이터 과학 분야에서 경력을 시작하려는 사람들에게 조언을 제공합니다. 마지막으로, 문서 과제를 완료하여 주어진 데이터 세트를 마이닝하는 과정과 회귀 분석에 대해 학습해야 합니다.

이 모듈에서는 기업이 데이터 과학을 시작하기 위해 무엇을 해야 하는지에 대해 배웁니다. 데이터 과학자를 다른 전문가와 구별하는 몇 가지 자질에 대해서도 배우게 됩니다. 또한 분석과 이 프로세스에서 데이터 과학자가 수행하는 중요한 역할, 스토리텔링 및 효과적인 최종 결과물의 중요성에 대해 배우게 됩니다. 마지막으로 주관식 질문에 답하여 데이터 과학에 대해 배운 내용을 적용해야 합니다.