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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教學大綱 - 您將從這門課程中學到什麼
週
1完成時間為 2 小時
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.
6 個視頻 （總計 20 分鐘）, 5 個閱讀材料, 2 個測驗
6 個視頻
The Many Paths to Data Science3分鐘
Advice for New Data Scientists2分鐘
A day in the Life of a Data Scientist3分鐘
Data Science Topics and Algorithms3分鐘
What is the cloud?3分鐘
5 個閱讀材料
Course Syllabus10分鐘
Data Science: The Sexiest Job in the 21st Century20分鐘
What Makes Someone a Data Scientist?20分鐘
Exercise: Identifying objects in images with IBM Watson5分鐘
Exercise: Upload and classify your images!10分鐘
2 個練習
Data Science: The Sexiest Job in the 21st Century10分鐘
What Makes Someone a Data Scientist?10分鐘
週
2完成時間為 1 小時
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.
7 個視頻 （總計 37 分鐘）, 2 個閱讀材料, 2 個測驗
7 個視頻
Data Scientists at New York University4分鐘
What is Hadoop?6分鐘
Neural Networks and Deep Learning6分鐘
How Can Someone Become a Data Scientist?5分鐘
High School Students and Data Science Careers4分鐘
Applications of Machine Learning4分鐘
2 個閱讀材料
Data Mining10分鐘
Regression20分鐘
2 個練習
Data Mining10分鐘
Regression10分鐘
週
3完成時間為 3 小時
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.
3 個視頻 （總計 17 分鐘）, 2 個閱讀材料, 3 個測驗
3 個視頻
Recruiting for Data Science7分鐘
Applications of Data Science6分鐘
2 個閱讀材料
The Final Deliverable20分鐘
The Report Structure20分鐘
2 個練習
The Final Deliverable10分鐘
The Report Structure10分鐘
4.6
1,100 個審閱43%
完成這些課程後已開始新的職業生涯
40%
通過此課程獲得實實在在的工作福利
熱門審閱
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.
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).
講師
Alex Aklson
Ph.D., Data ScientistIBM Developer Skills Network
Polong Lin
Data ScientistIBM Developer Skills Network
關於 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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