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Learner Reviews & Feedback for Applied Data Science Capstone by IBM

4.7
stars
7,160 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

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

CS

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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901 - 925 of 990 Reviews for Applied Data Science Capstone

By Napattarapon P

Sep 11, 2019

Useful course for starter

By Muhamad H R

Oct 10, 2023

Good for beginner

By Shahid R

Jul 13, 2023

Too Much PPTs....

By Hardik R S

Feb 24, 2019

Little bit hard

By Robert B

Apr 20, 2022

A great course

By adetunji p

Feb 23, 2022

it was awsomee

By Deepak N

Aug 12, 2019

Good exposure.

By YIFAN H

Nov 10, 2019

真的难,对我这个初学者来说

By Praveen A

Sep 15, 2019

great course

By Ernesto C M P

Jan 16, 2022

good course

By zoubair a

Jun 2, 2020

good course

By Magnus B

Jun 10, 2019

Fun course!

By Mustafa M M E

May 28, 2023

very good

By Abdulla M

Nov 6, 2020

very good

By Amanullah K

Oct 31, 2020

Excellent

By Satishkumar M

Jan 9, 2020

Average

By Prayag P

Jul 30, 2020

Good !

By Romero R J Y

May 25, 2024

nice

By Narmeen i

Sep 10, 2021

good

By Andrian R N

Aug 15, 2021

Cool

By Khalid h

Oct 21, 2024

ok

By Ben G

Aug 6, 2024

Let's start with the good: The activities. These are great reviews of what we have learned in other IBM courses, with some new stuff thrown in. I learned a lot. So why only 3 stars? The course has several basic problems that caused me to waste a LOT of time. 1) Unintelligible instructions/materials. There are so many grammar spelling errors, things copy/pasted into the wrong place, etc that it can be quite hard to follow. This is common in IBM courses but in this one I really felt it. 2) Technical issues. Labs crashed several times for me. In the Dash lab, it was particularly annoying, as the work cannot be saved in the lab itself, and so I lost all progress every time there was a crash. To make things worse, the staff moved several of my labs to different locations, forcing me to redo several hours of work (hopefully this is just a once-off problem though). 3) Some strange activities. For example, how does finding everything that starts with 'CCA' help us to answer the research question? Yes, it might be good practice in it's own right, but why can't we get practice by working towards the stated goal instead of by doing random time-filler activities?

By Tania D

Aug 21, 2020

The assignments were interesting especially when we had to think of our own problems to solve. It would've been really helpful if the course was regularly updated, specifically when it comes to the first assignment where a lot of students experienced challenges with their machines and the course was designed with old operating machines in mind. the discussion forums would help a lot if instructors actually answered the questions and not directed students to links that were of no assistance at all. The course material could really do with an upgrade.

By Thøger E R

Sep 14, 2022

The curriculum and project work was fine. Notebooks to complete were OK, although not flawless. The final presentation format was... bad. A written report in the form of a 50 slide PowerPoint presentation is *not* a good habit to be teaching future data science professionals. Plus the instructions regarding what was expected were either ambiguous, confusing, or absent. The curriculum is great and I learned something. The testing procedure was extremely tedious and poorly thought out and in dire need of a major overhaul.

By John F

Sep 14, 2022

Very prescriptive and guided. Everything I have come to expect from Coursera. Little room for critical thought or original content. Designed for begineers. I am surprised this is an IBM course beyond building the user base for its tools. The marking Rubik's are too prescribed to provide accurate marks which matters little given the way in which they are applied. The final powerpoint assignment should be replaced with a report and a ten slide deck.