The capstone project class will allow students to create a usable/public data product that can be used to show your skills to potential employers. Projects will be drawn from real-world problems and will be conducted with industry, government, and academic partners.
от партнера
Об этом курсе
Будет ли вашей компании выгодно обучить сотрудников востребованным навыкам?
Попробуйте Coursera для бизнесаЧему вы научитесь
Create a useful data product for the public
Apply your exploratory data analysis skills
Build an efficient and accurate prediction model
Produce a presentation deck to showcase your findings
Приобретаемые навыки
- Data Science
- Machine Learning
- R Programming
- Natural Language Processing
Будет ли вашей компании выгодно обучить сотрудников востребованным навыкам?
Попробуйте Coursera для бизнесаот партнера
Программа курса: что вы изучите
Overview, Understanding the Problem, and Getting the Data
Exploratory Data Analysis and Modeling
Prediction Model
Creative Exploration
Рецензии
- 5 stars69,53 %
- 4 stars20,77 %
- 3 stars5,21 %
- 2 stars2,40 %
- 1 star2,06 %
Лучшие отзывы о курсе ДИПЛОМНЫЙ ПРОЕКТ В СФЕРЕ НАУКИ О ДАННЫХ
This class was a huge challenge for me, but it pushed me to learn a whole lot and practice many of the skills that I had learned in previous courses! I had a lot of fun, too. Thanks!
Great finish to an excellent specialisation. It's actually opened up some excellent career options for me and I am very grateful to the instructions and Coursera for providing the platform.
This course was very challenging. It resembled a real world task, where an idea is presented and it is up to the user to research methods and processes for the best outcome.
Could improve on detailing the material , adding more technical stuff, but then again data science is very vast and it is best i the students explore things on their own
Часто задаваемые вопросы
Когда я получу доступ к лекциям и заданиям?
Что я получу, оформив подписку на специализацию?
Можно ли получить финансовую помощь?
Остались вопросы? Посетите Центр поддержки учащихся.