The Executive Data Science Capstone, the specialization’s culminating project, is an opportunity for people who have completed all four EDS courses to apply what they've learned to a real-world scenario developed in collaboration with Zillow, a data-driven online real estate and rental marketplace, and DataCamp, a web-based platform for data science programming. Your task will be to lead a virtual data science team and make key decisions along the way to demonstrate that you have what it takes to shepherd a complex analysis project from start to finish. For the final project, you will prepare and submit a presentation, which will be evaluated and graded by your fellow capstone participants.
Este curso faz parte do Programa de cursos integrados Executivo em ciência de dadosExecutivo em Ciência Dados
Informações sobre o curso
Habilidades que você terá
Universidade Johns Hopkins
The mission of The Johns Hopkins University is to educate its students and cultivate their capacity for life-long learning, to foster independent and original research, and to bring the benefits of discovery to the world.
- 5 stars77,86%
- 4 stars16,37%
- 3 stars3,79%
- 2 stars0,98%
- 1 star0,98%
Principais avaliações do EXECUTIVO EM CIÊNCIA DADOS - PROJETO DE CONCLUSÃO
The Executive Data Science Capstone was so much fun, while I was doing it I was really feeling like I am a data manager and managing the data science team in real life. So interesting it was.
the interaction with DataCamp is awesome!! love the data science capstone, I even felt under pressure from time to time, like if I was managing a data science team for real!!
Would love to do about 30 more of these! The Capstone was really fun, very creative, and gave me a boost of confidence in pursuing a deeper study of Data Science Management! Loved It x 3
The capstone tests your decision-making skills but ought to be a bit more challenging. Also, the 3 presentations the learner must assess have a few typos.
Sobre Programa de cursos integrados Executivo em ciência de dadosExecutivo em Ciência Dados
Assemble the right team, ask the right questions, and avoid the mistakes that derail data science projects.
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