The art of uncovering the insights and trends in data has been around since ancient times. The ancient Egyptians used census data to increase efficiency in tax collection and they accurately predicted the flooding of the Nile river every year. Since then, people working in data science have carved out a unique and distinct field for the work they do. This field is data science. In this course, we will meet some data science practitioners and we will get an overview of what data science is today.
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IBM이 강좌에 대하여
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32%
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지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.
유동적 마감일
일정에 따라 마감일을 재설정합니다.
초급 단계
완료하는 데 약 10시간 필요
영어
자막: 아랍어, 프랑스어, 포르투갈어 (유럽), 중국어 (간체자), 이탈리아어, 베트남어, 한국어, 독일어, 러시아어, 터키어, 영어, 스페인어
학습자 경력 결과
32%
가 이 강좌를 수료한 후 새로운 커리어를 시작함
32%
가 이 강좌를 통해 확실한 경력상 이점을 얻음
11%
가 급여 인상 또는 승진 성취
공유 가능한 수료증
완료 시 수료증 획득
100% 온라인
지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.
유동적 마감일
일정에 따라 마감일을 재설정합니다.
초급 단계
완료하는 데 약 10시간 필요
영어
자막: 아랍어, 프랑스어, 포르투갈어 (유럽), 중국어 (간체자), 이탈리아어, 베트남어, 한국어, 독일어, 러시아어, 터키어, 영어, 스페인어
제공자:
IBM
IBM offers a wide range of technology and consulting services; a broad portfolio of middleware for collaboration, predictive analytics, software development and systems management; and the world's most advanced servers and supercomputers. Utilizing its business consulting, technology and R&D expertise, IBM helps clients become "smarter" as the planet becomes more digitally interconnected. IBM invests more than $6 billion a year in R&D, just completing its 21st year of patent leadership. IBM Research has received recognition beyond any commercial technology research organization and is home to 5 Nobel Laureates, 9 US National Medals of Technology, 5 US National Medals of Science, 6 Turing Awards, and 10 Inductees in US Inventors Hall of Fame.
강의 계획 - 이 강좌에서 배울 내용
완료하는 데 3시간 필요
Defining Data Science and What Data Scientists Do
In this module, you will view the course syllabus to learn what will be taught in this course. You will hear from data science professionals to discover what data science is, what data scientists do, and what tools and algorithms data scientists use on a daily basis. Finally, you will complete a reading assignment to find out why data science is considered the sexiest job in the 21st century.
완료하는 데 3시간 필요
8개 동영상 (총 27분), 4 개의 읽기 자료, 2 개의 테스트
8개의 동영상
Fundamentals of Data Science2m
The Many Paths to Data Science3m
Advice for New Data Scientists2m
A day in the Life of a Data Scientist3m
Old problems, new problems, Data Science solutions3m
Data Science Topics and Algorithms3m
Cloud for Data Science3m
4개의 읽기 자료
Course Syllabus10m
Professional Certificate Career Support10m
Lesson Summary10m
Lesson Summary10m
2개 연습문제
Data Science: The Sexiest Job in the 21st Century30m
What Makes Someone a Data Scientist?30m
완료하는 데 3시간 필요
Data Science Topics
In this module, you will hear from Norman White, the Faculty Director of the Stern Centre for Research Computing at New York University, as he talks about data science and the skills required for anyone interested in pursuing a career in this field. He also advises those looking to start a career in data science. Finally, you will complete reading assignments to learn about the process of mining a given dataset and about regression analysis.
완료하는 데 3시간 필요
8개 동영상 (총 39분), 3 개의 읽기 자료, 2 개의 테스트
8개의 동영상
What is Hadoop?6m
How Big Data is Driving Digital Transformation3m
Data Science Skills & Big Data4m
Data Scientists at New York University4m
What's the difference?4m
Neural Networks and Deep Learning6m
Applications of Machine Learning3m
3개의 읽기 자료
Lesson Summary10m
Lesson Summary10m
Exercise: Identifying objects in images with IBM Watson3m
2개 연습문제
Data Mining30m
Regression30m
완료하는 데 4시간 필요
Data Science in Business
In this module, you will learn about the approaches companies can take to start working with data science. You will learn about some of the qualities that differentiate data scientists from other professionals. You will also learn about analytics, story-telling, and the pivotal role data scientists play in creating an effective final deliverable. Finally, you will apply what you learned about data science by answering open-ended questions.
완료하는 데 4시간 필요
7개 동영상 (총 32분), 4 개의 읽기 자료, 3 개의 테스트
7개의 동영상
How Should Companies Get Started in Data Science?2m
Applications of Data Science3m
How Can Someone Become a Data Scientist?5m
Recruiting for Data Science7m
Careers in Data Science2m
High School Students and Data Science Careers4m
4개의 읽기 자료
Lesson Summary10m
Lesson Summary10m
Lesson Summary10m
IBM Digital Badge2m
2개 연습문제
The Final Deliverable30m
The Report Structure30m
검토
데이터 과학이란 무엇인가요? 의 최상위 리뷰
UY 제공2018년 12월 26일
The Course answers the question which the title says. It is a very basic course, and no skill can be learned from this, but it provides insights from actual people who are working /teach data science.
PD 제공2018년 7월 18일
I thought this course introduced the topic of data science very well. I think I have a much better idea how to describe data science and common terms associated with the field (like machine learning).
RS 제공2020년 5월 11일
Very learning experience, I am a beginner in DS, but the instructors in this course simplified the contents that made me I could easily understand, tools and materials were very helpful to start with.
RM 제공2019년 6월 9일
The course is a perfect introduction to data science, making a person comfortable and showing the participants of the course a daily work of data scientist and to simplify the meaning of data science.
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