Learner Reviews & Feedback for Applied Data Science Capstone by IBM

4.7

stars

7,165 ratings

About the Course

This is the final course in the IBM Data Science Professional Certificate as well as the Applied Data Science with Python Specialization. This capstone project course will give you the chance to practice the work that data scientists do in real life when working with datasets. In this course 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 will be tasked with predicting if the first stage of the SpaceX Falcon 9 rocket will land successfully. 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. In this course, there will not be much new learning, instead you’ll focus on hands-on work to demonstrate and apply what you have learnt in previous courses. By successfully completing this Capstone you will have added a project to your data science and machine learning portfolio to showcase to employers....

Top reviews

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

Jun 15, 2023

It's a great course to get a comprehensive background on Data Science (including ML) and lays the foundation for more advanced courses. It touches on all the areas that are required for data science.

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426 - 450 of 992 Reviews for Applied Data Science Capstone

By melih t

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May 25, 2020

This course was very helpful and educative. Thanks for your effort.

By Nagendra R J

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Feb 4, 2020

Awesome. Loved learning through this all coureses.

keepup good work!

By Amir K

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Nov 20, 2019

This course gives learners a chance to practice data science skills

By Muhammad F H

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Aug 7, 2021

This course is recommended to try applying data science knowledge.

By Anand G

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May 18, 2020

Best way to kick start into the fascinating world of Data Science!

By MANIK G

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Apr 21, 2019

well designed, good for beginners and for who have basic knowledge

By Mohitkumar R

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Jan 13, 2019

Great course,and exercise .Best resource for start in data scuence

By Luis M J

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Aug 4, 2022

Excelent course, all the contents and the labs are pretty useful.

By Harsh S

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Oct 2, 2019

Very Nice Platform to learn and explore more as a Data Scientist.

By Marwan K

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Sep 30, 2021

Thank you Coursera.

Thank you IBM

Thank you to all instructors.

By Cris M

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Jan 7, 2019

Very good chance to practice what you learned in IBM DSC course.

By Alicia M

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May 5, 2021

Really good capstone project. You learn a lot from this course.

By Cường N

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Jan 4, 2021

Very interesting course and I can apply immediately to my work!

By Himanshu S

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Apr 24, 2019

Really good course for Data Science and ML interested students.

By Mahmood H

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Apr 15, 2019

The Capstone projects were fun. Sometimes hard, but mostly fun!

By Siddhanto R

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May 3, 2020

GOOD COURSE TO GAIN KNOWLEDGE IN CAPSTONE AND HANDS-ON PROJECT

By DORNYOH D

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Sep 1, 2020

This is a great course for any beginner to learn data science

By Akash M

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Feb 28, 2020

just loved this course. it it designed to learn in a good way

By Parab N S

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Oct 15, 2019

An excellent capstone project for Applied Data Science by IBM

By Percy K

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Aug 8, 2022

very good despit spending lots of time to learn but it worth

By fernandes m

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Nov 9, 2020

My first certificate with the best IBM/Coursera course ever.

By Jason P

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Apr 10, 2020

This course was definitely a challenge, but I learned a LOT!

By Farrukh N A

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Oct 24, 2019

Excellent Course, Really well oriented Certification Program

By Janki D

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Apr 8, 2019

Great experience doing Assignment!!

Thank you for opportunity

By Serdar M

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Jan 25, 2019

I liked this course the most,

great job, everyone contributed