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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What is Data Science?
от партнера
IBM
Программа курса: что вы изучите
Неделя
12 ч. на завершение
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 видео ((всего 20 мин.)), 5 материалов для самостоятельного изучения, 2 тестов
6 видео
The Many Paths to Data Science3мин
Advice for New Data Scientists2мин
A day in the Life of a Data Scientist3мин
Data Science Topics and Algorithms3мин
What is the cloud?3мин
5 материала для самостоятельного изучения
Course Syllabus10мин
Data Science: The Sexiest Job in the 21st Century20мин
What Makes Someone a Data Scientist?20мин
Exercise: Identifying objects in images with IBM Watson5мин
Exercise: Upload and classify your images!30мин
2 практического упражнения
Data Science: The Sexiest Job in the 21st Century10мин
What Makes Someone a Data Scientist?10мин
Неделя
21 ч. на завершение
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 видео ((всего 37 мин.)), 2 материалов для самостоятельного изучения, 2 тестов
7 видео
Data Scientists at New York University4мин
What is Hadoop?6мин
Neural Networks and Deep Learning6мин
How Can Someone Become a Data Scientist?5мин
High School Students and Data Science Careers4мин
Applications of Machine Learning4мин
2 материала для самостоятельного изучения
Data Mining10мин
Regression20мин
2 практического упражнения
Data Mining10мин
Regression10мин
Неделя
33 ч. на завершение
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 видео ((всего 17 мин.)), 2 материалов для самостоятельного изучения, 3 тестов
3 видео
Recruiting for Data Science7мин
Applications of Data Science6мин
2 материала для самостоятельного изучения
The Final Deliverable20мин
The Report Structure20мин
2 практического упражнения
The Final Deliverable10мин
The Report Structure10мин
41%
начал новую карьеру, пройдя эти курсы
39%
получил значимые преимущества в карьере благодаря этому курсу
Лучшие рецензии
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).
Преподаватели
Alex Aklson
Ph.D., Data ScientistIBM Developer Skills Network
Polong Lin
Data ScientistIBM Developer Skills Network
О 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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