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Learner Reviews & Feedback for Applied Data Science Capstone by IBM

4.7
stars
5,998 ratings
808 reviews

About the Course

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. You are tasked with predicting if the first stage of the SpaceX Falcon 9 rocket will land successfully. SpaceX advertises Falcon 9 rocket launches on its website, with a cost of 62 million dollars; other providers cost upward of 165 million dollars each, much of the savings is because SpaceX can reuse the first stage. Therefore if you can accurately predict the likelihood of the first stage rocket landing successfully, you can determine the cost of a launch. With the help of your Data Science findings and models, the competing startup you have been hired by can make more informed bids against SpaceX for a rocket launch. This course is the final course in the IBM Data Science Professional Certificate as well as the Applied Data Science with Python Specialization. It is expected that you have completed all of the prior courses in the specialization/certificate before starting this one, as it requires the application of the knowledge and skills taught in those courses. In this course, there will not be too much new learning, and instead, the focus will be on hands-on work to demonstrate what you have learned in the previous courses. If you choose to take this course and earn the Coursera course certificate, you will also earn an IBM digital badge upon successful completion of the course....

Top reviews

LD

Oct 23, 2019

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

SG

Mar 3, 2020

Very good capstone project. Learnt lot of insights on how to represent data through out this course.\n\nVery good starting point for ""Data Science" field. I would definitely recommend this course.

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426 - 450 of 812 Reviews for Applied Data Science Capstone

By Luis H

Jul 8, 2019

No es posible concluir el último ejercicio.

By Prasad J

Oct 13, 2020

Excellent videos, labs and study material!

By Tang K T

May 13, 2019

Excellent courses with intensive training!

By Isabella R

Mar 15, 2019

Great course! Challenging and very useful!

By Parma R R

Nov 14, 2021

Good course, thank you for all instructor

By Bruno H M

Apr 24, 2020

It is a challenging and rewarding course.

By Linda A L

Jul 1, 2019

Flying with Python: https://xkcd.com/353/

By Kristen P

Jan 12, 2020

excellent course. easy to follow content

By KARTHIK

Dec 18, 2019

Feeling happy to complete this course!!!

By vignaux

Sep 7, 2018

Great Course. Practice and learning deep

By Abdelhalim B O

Oct 11, 2021

very helpful thank you ibm and coursera

By Shiva k

Jun 29, 2020

Its Amazing learning module. Thank you.

By Shailendra S

Jun 27, 2020

Challenging! Great learning experience.

By Juan M F M

Jun 23, 2020

Amazing course and amazing certificate!

By Yui

May 26, 2019

nice to know foursquare, beautiful soup

By Rafael M

Sep 23, 2020

Very good course with hands on project

By A I

Jan 17, 2020

Engaging Project!! Learnt new concepts

By Prateek V

Jun 7, 2019

Best Course i have ever studied online

By Jesús R P

Feb 7, 2021

Thanks for sharing, excellent course!

By abhishek k

Apr 29, 2020

Great Design for self paced learning.

By Чернова И Р

Jul 19, 2019

It was hard work but great experience

By Dr. B R R

Nov 25, 2020

Top Class Course.

Hands on experience

By Danish B

Feb 19, 2020

Brilliant and fully hands-on course.

By Vithyabathi

Jun 24, 2019

Great Course with clear Instructions

By Alexander P G

Sep 3, 2021

Good course, topics well explained.