Об этом курсе: By now you have definitely heard about data science and big data. In this one-week class, we will provide a crash course in what these terms mean and how they play a role in successful organizations. This class is for anyone who wants to learn what all the data science action is about, including those who will eventually need to manage data scientists. The goal is to get you up to speed as quickly as possible on data science without all the fluff. We've designed this course to be as convenient as possible without sacrificing any of the essentials. This is a focused course designed to rapidly get you up to speed on the field of data science. Our goal was to make this as convenient as possible for you without sacrificing any essential content. We've left the technical information aside so that you can focus on managing your team and moving it forward. After completing this course you will know. 1. How to describe the role data science plays in various contexts 2. How statistics, machine learning, and software engineering play a role in data science 3. How to describe the structure of a data science project 4. Know the key terms and tools used by data scientists 5. How to identify a successful and an unsuccessful data science project 3. The role of a data science manager Course cover image by r2hox. Creative Commons BY-SA: https://flic.kr/p/gdMuhT
Преподаватели: Jeff Leek, PhD, Associate Professor, Biostatistics
Bloomberg School of Public Health
Преподаватели: Brian Caffo, PhD, Professor, Biostatistics
Bloomberg School of Public Health
Преподаватели: Roger D. Peng, PhD, Associate Professor, Biostatistics
Bloomberg School of Public Health
| Основные сведения | Course 1 of 5 in the Executive Data Science Specialization |
| Выполнение | 1 week of study, 4-6 hours |
| Язык | English, Субтитры: Turkish, Russian, Chinese (Traditional) |
| Как пройти курс | Чтобы пройти курс, выполните все оцениваемые задания. |
| Оценки пользователей |
- Видео: About Your Instructors
- Leyendo: Specialization Textbook
- Leyendo: Grading
- Leyendo: Pre-Course Survey
- Видео: What is Data Science?
- Leyendo: Statistics by example activities
- Видео: Statistics by example activities
- Leyendo: Machine learning
- Видео: Machine learning, the basics
- Видео: Machine learning further reading
- Видео: What is Software Engineering for Data Science?
- Видео: The Structure of a Data Science Project
- Leyendo: The outputs of a data science experiment
- Видео: The outputs of a data science experiment
- Leyendo: The four secrets of a successful data science experiment
- Видео: The four secrets of a successful data science experiment
- Видео: Data Scientist Toolbox
- Видео: Separating Hype from Value
- Leyendo: Post-Course Survey
Cada curso es como un libro de texto interactivo, con videos pregrabados, cuestionarios y proyectos.
Conéctate con miles de estudiantes y debate ideas y materiales del curso, y obtén ayuda para dominar los conceptos.
Obtén reconocimiento oficial por tu trabajo y comparte tu éxito con amigos, compañeros y empleadores.
| 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 |
Great introduction to data science workflows, really helps me understand where within the data science project lifecycle a product can provide value.
excellent intro course into the field of data science
It was good introductory course.
S
Awesome !