Об этом курсе: 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.
Для кого этот курс: This course is primarily for individuals who are passionate about the field of data science and who are aspiring to become data scientists.
Автор: IBM
Преподаватели: Alex Aklson, Ph.D., Data Scientist
IBM Cognitive Class
| Основные сведения | Course 1 of 4 in the Introduction to Data Science Specialization |
| Уровень | Начинающий |
| Выполнение | 3 weeks of study, 2-3 hours/week |
| Язык | English |
| Как пройти курс | Чтобы пройти курс, выполните все оцениваемые задания. |
| Оценки пользователей |
Программа курса
НЕДЕЛЯ 1
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, 3 материала для самостоятельного изучения
- Lecture: Course Syllabus
- Видео: The Many Paths to Data Science
- Видео: Advice for New Data Scientists
- Lecture: Data Science: The Sexiest Job in the 21st Century
- Видео: A day in the Life of a Data Scientist
- Видео: Data Science Topics and Algorithms
- Видео: What is the cloud?
- Lecture: What Makes Someone a Data Scientist?
Оцениваемый: Data Science: The Sexiest Job in the 21st Century
Оцениваемый: What Makes Someone a Data Scientist?
НЕДЕЛЯ 2
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, 2 материала для самостоятельного изучения
- Видео: Data Scientists at New York University
- Видео: What is Hadoop?
- Lecture: Data Mining
- Видео: Neural Networks and Deep Learning
- Видео: How Can Someone Become a Data Scientist?
- Видео: High School Students and Data Science Careers
- Видео: Applications of Machine Learning
- Lecture: Regression
Оцениваемый: Data Mining
Оцениваемый: Regression
НЕДЕЛЯ 3
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, 2 материала для самостоятельного изучения
- Видео: Recruiting for Data Science
- Видео: Applications of Data Science
- Lecture: The Final Deliverable
- Lecture: The Report Structure
Оцениваемый: The Final Deliverable
Оцениваемый: The Report Structure
Оцениваемый: Final Assignment
Часто задаваемые вопросы
Как это работает
Travail en cours
Chaque cours fonctionne comme un manuel interactif en proposant des vidéos préenregistrées, des quiz et des projets.
Aide de la part de vos pairs
Connectez-vous à des milliers d'autres étudiants et débattez sur des idées, discutez le contenu du cours et obtenez de l'aide pour en maîtriser les concepts.
Certificats
Obtenez une reconnaissance officielle pour votre travail et partagez votre réussite avec vos amis, vos collègues et vos employeurs.
Авторы
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.
Стоимость
| Приобрести курс | |
|---|---|
| Получить доступ к материалам курса | Доступен |
| Получить доступ к оцениваемым материалам курса | Доступен |
| Получить итоговую оценку | Доступен |
| Earn a shareable Course Certificate | Доступен |
Рейтинги и отзывы
this is so much fun.Thanks for providing such great idea
Very good introduction to what is data science and what is the role of data scientists in today's world
This is a good introduction. I like the video as it explains a lot ,and the speaker's comment are aspiring
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PD
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).