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.
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Habilidades que obtendrás
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 stars80,31 %
- 4 stars14,15 %
- 3 stars3,06 %
- 2 stars1,12 %
- 1 star1,33 %
Principales reseñas sobre APPLIED DATA SCIENCE CAPSTONE
This course is instructive and challenging at the same time. Now I do wish I know a bit more about python and pandas before I jump in this course. But in the end I managed to get through.
Very challenging but truly rewarding. I learnt a lot through the mistakes I made throughout the project but there is a lot of support on the forum and the internet to help with any issue.
This Program was well structured, it was a great combination of learning and problem solving. You also got a great chance to see how useful data can be and how easy it is to make it work for you
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!
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