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.
About this Course
학습자 경력 결과
공유 가능한 수료증
완료하는 데 약 7시간 필요
학습자 경력 결과
공유 가능한 수료증
완료하는 데 약 7시간 필요
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데이터 과학이란 무엇인가요? 의 최상위 리뷰
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.
This section of the course is decidedly an orientation and not so much an introduction. It leaves more to the student to wonder, which perhaps is intended to encourage students and not to hammer them.
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.
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).
The unique way the definitions of Data Science and Scientist were explained was exemplary. Hearing from experts and people who are practicing Data science is what made the course interesting thus far.
Very good introduction into data science. Some of the videos are very monotone, and it's easy to lose track of where the conversation is going. If you pay attention, you can get some good information.
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.
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.
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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