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.
제공자:
IBM
About this Course
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Learner Career Outcomes
41%
이 강좌를 수료한 후 새로운 경력 시작하기
40%
이 강좌를 통해 확실한 경력상 이점 얻기
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초급 단계
완료하는 데 약 7시간 필요
권장: 3 weeks of study, 2-3 hours/week
영어
자막: 영어, 아랍어
강의 계획 - 이 강좌에서 배울 내용
완료하는 데 2시간 필요
Defining Data Science and What Data Scientists Do
In this module, you will go over the course syllabus to learn what will be taught in this course. Also, you will hear from data science professionals to learn what data science is, what data scientists do, and what tools and algorithms data scientists use on a daily basis. Finally, you will be required to complete a reading assignment to learn why data science is considered the sexiest job in the 21st century.
완료하는 데 2시간 필요
6개 동영상 (총 20분), 5 readings, 2 quizzes
6개의 동영상
The Many Paths to Data Science3m
Advice for New Data Scientists2m
A day in the Life of a Data Scientist3m
Data Science Topics and Algorithms3m
What is the cloud?3m
5개의 읽기 자료
Course Syllabus10m
Data Science: The Sexiest Job in the 21st Century20m
What Makes Someone a Data Scientist?20m
Exercise: Identifying objects in images with IBM Watson5m
Exercise: Upload and classify your images!30m
2개 연습문제
Data Science: The Sexiest Job in the 21st Century10m
What Makes Someone a Data Scientist?10m
완료하는 데 1시간 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 what skills are required for anyone interested in pursuing a career in this field and as he gives advice to those who are looking to start a career in data science. Finally, you will be required to complete reading assignments to learn about the process of mining a given dataset and about regression analysis.
완료하는 데 1시간 필요
7개 동영상 (총 37분), 2 readings, 2 quizzes
7개의 동영상
Data Scientists at New York University4m
What is Hadoop?6m
Neural Networks and Deep Learning6m
How Can Someone Become a Data Scientist?5m
High School Students and Data Science Careers4m
Applications of Machine Learning4m
2개의 읽기 자료
Data Mining10m
Regression20m
2개 연습문제
Data Mining10m
Regression10m
완료하는 데 3시간 필요
Data Science in Business
In this module, you will learn about what companies need to do in order to start with data science. You will also learn about some of the qualities that differentiate data scientists from other professionals. In addition, you will learn about analytics and what important role data scientists play in this process, and about story-telling and the importance of an effective final deliverable. Finally, you will be required to apply what you learned about data science by answering open-ended questions.
완료하는 데 3시간 필요
3개 동영상 (총 17분), 2 readings, 3 quizzes
3개의 동영상
Recruiting for Data Science7m
Applications of Data Science6m
2개의 읽기 자료
The Final Deliverable20m
The Report Structure20m
2개 연습문제
The Final Deliverable10m
The Report Structure10m
4.7
4,247개의 리뷰데이터 과학이란 무엇인가요? 의 최상위 리뷰
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).
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.
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.
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