Этот курс входит в специализацию ''Специализация Data Science'
Data Science Capstone
от партнера
Чему вы научитесь
- Apply your exploratory data analysis skills
- Build an efficient and accurate prediction model
- Create a useful data product for the public
- Produce a presentation deck to showcase your findings
Приобретаемые навыки
Программа курса: что вы изучите
1
Overview, Understanding the Problem, and Getting the Data
2
Exploratory Data Analysis and Modeling
3
Prediction Model
4
Creative Exploration
34%
83%
22%
Лучшие рецензии
Capstone did provide a true test of Data Analytics skills. Its like a being left alone in a jungle to survive for a month. Either you succumb to nature or come out alive with a smile and confidence.
Wow i finally managed to finish the specialization!! definitely learned a lot and also found out difficulties in building predictors by trying to balancing speed, accuracy and memory constraints!!!
Преподавателя
Jeff Leek, PhD
Associate Professor, Biostatistics
Roger D. Peng, PhD
Associate Professor, Biostatistics
Brian Caffo, PhD
Professor, BiostatisticsО Johns Hopkins University
О специализации ''Data Science'
Часто задаваемые вопросы
When will I have access to the lectures and assignments?
Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.
What will I get if I subscribe to this Specialization?
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
What is the refund policy?
Is financial aid available?
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