This capstone project course will give you a taste of what data scientists go through in real life when working with real datasets. You will assume the role of a Data Scientist working for a startup intending to compete with SpaceX, and in the process follow the Data Science methodology involving data collection, data wrangling, exploratory data analysis, data visualization, model development, model evaluation, and reporting your results to stakeholders.
À propos de ce cours
Compétences que vous acquerrez
Réseau de compétences IBM
IBM is the global leader in business transformation through an open hybrid cloud platform and AI, serving clients in more than 170 countries around the world. Today 47 of the Fortune 50 Companies rely on the IBM Cloud to run their business, and IBM Watson enterprise AI is hard at work in more than 30,000 engagements. IBM is also one of the world’s most vital corporate research organizations, with 28 consecutive years of patent leadership. Above all, guided by principles for trust and transparency and support for a more inclusive society, IBM is committed to being a responsible technology innovator and a force for good in the world.
- 5 stars80,27 %
- 4 stars14,15 %
- 3 stars3,08 %
- 2 stars1,11 %
- 1 star1,37 %
Meilleurs avis pour APPLIED DATA SCIENCE CAPSTONE
Overall it was a good course. It could have been better is the support staff for the course were available answering questions. Some of the materials are outdated and needs to be updated.
Overall a solid course. I wish there was a little more explanation of the code that was used but this capstone definitely pushed me to learn and get better. Thanks IBM and Coursera for the course!
This course for me was very challenging, not only for the assessments but also because I introduced new tools to my study like APIs. I really appreciate the time and the knowledge you gave me.
Its was great experience in completing the project using all skills that we learned in the course, thanks to coursera and IBM for giving me an opportunity to update my selft and also to test my skills
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