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. LIMITED TIME OFFER: Subscription is only $39 USD per month for access to graded materials and a certificate.
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IBM
About this Course
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초급 단계
완료하는 데 약 7시간 필요
권장: 3 weeks of study, 2-3 hours/week
영어
자막: 영어
강의 계획 - 이 강좌에서 배울 내용
완료하는 데 2시간 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 2시간 필요
8개 동영상 (총 27분), 6 readings, 2 quizzes
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
6개의 읽기 자료
Course Syllabus10m
Professional Certificate Career Support10m
Data Science: The Sexiest Job in the 21st Century20m
Lesson Summary10m
What Makes Someone a Data Scientist?20m
Lesson Summary10m
2개 연습문제
Data Science: The Sexiest Job in the 21st Century10m
What Makes Someone a Data Scientist?10m
완료하는 데 2시간 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 2시간 필요
8개 동영상 (총 39분), 6 readings, 2 quizzes
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
6개의 읽기 자료
Data Mining10m
Lesson Summary10m
Regression20m
Lesson Summary10m
Exercise: Identifying objects in images with IBM Watson3m
Exercise: Upload and classify your images!30m
2개 연습문제
Data Mining10m
Regression10m
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 31분), 6 readings, 3 quizzes
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
6개의 읽기 자료
The Final Deliverable20m
Lesson Summary10m
Lesson Summary10m
The Report Structure20m
Lesson Summary10m
IBM Digital Badge2m
2개 연습문제
The Final Deliverable10m
The Report Structure10m
4.7
4,470개의 리뷰데이터 과학이란 무엇인가요? 의 최상위 리뷰
Excellent quality content! It's a great introductory course that really gets you interested in Data Science. I would highly recommend it to anyone curious in learning about what Data Science is about.
Terrific introduction to the Data Science course. Never expected but was extremely excited with the quality of content, speakers and a very honest attempt to making this course interesting.\n\nKrishna
IBM 정보
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.
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