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Learner Reviews & Feedback for Applied Data Science Capstone by IBM

4.7
stars
7,186 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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826 - 850 of 998 Reviews for Applied Data Science Capstone

By Isobel K

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Jul 4, 2024

Good course, steps you through all the relevant steps and reasoning. The final project is graded more on your ability to put together a power point than your understanding of the material though.

By William O

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Aug 17, 2020

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.

By Siddharth J

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Mar 24, 2019

Last week took me too much time, but that was my own laziness. The course is well designed and taught me a lot about data cleaning, and strict deadlines are also a good learning. Thank you.

By saman e

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Sep 11, 2024

You should include questions relevant to learning material but i learned a lot more from this course and IBM really facilitated me to complete this specialization by aiding me financially.

By John S

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Dec 26, 2023

Lots of outdated content and not many resources to help, however a lot of it was at least a little bit useful. Though a lot could be cut if you already know a thing or 2 about programming

By RAJA S R

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Jun 7, 2020

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.

By Ritvik S

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Sep 28, 2020

Very in-depth and rewarding project - would be a little better if more specific guidance on what to exactly include in the notebook would be better. But overall very stimulating. Thanks!

By Alexander P

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Oct 23, 2021

After some trouble, I was able to fix the issue with the ID identification... But nevertheless, the Certificate is not shown when using its link...

The Course, nevertheless, is great!

By Giselle

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Oct 10, 2020

The capstone project was difficult. I struggled to incorporate the concepts I learned throughout this training in the final project, however I don't have any statistics background .

By Mustafa A

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Jul 5, 2019

The capstone project was not very identical to what is covered in the course. We are briefly taught Foliujm Library but at the end, it was our final project. This was a minus point.

By Miriam S

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Jan 23, 2023

The course is fine as long as you finish it in one go. I had to restart and then ran into some difficulty with the cloud licence. Happily, coursera gave a workable work around.

By Nishant V

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Apr 8, 2019

Overall this is a tough course, since it mainly involves building your own project with your idea and using the tools,technologies which we have learnt in previous courses.

By Sudarshan

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Oct 4, 2020

Nice course. Gave me good understanding and insight of how Python can be used in Data Science and what are different solutions and approaches currently in use in industry.

By Joe A

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Oct 3, 2020

I learn't a lot from this course. reinforced and needed to apply whatever I learn't in previous courses. Had to work on Python coding, pandas, Folium, Foursquare, etc.

By Petter W

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Apr 13, 2020

Great course and project, I would have liked to get a bit more freedom in what API to use. But great to have a bigger project to work on as you learn most from that.

By Christian M N

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Mar 17, 2020

Cours vraiment, permet à l'étudiant d'être dans une situation réelle et met l'accent sur la compréhension même des différentes tâche à travers le rapport à fournir.

By Nathalia P

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Sep 5, 2020

The course has to be revised, it has a lot of notebook problems. The content is very good, but it was exhausting to make the activities and to finish it.

By Thomas M

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Sep 9, 2021

Interesting course but too lengthy videos for my taste. I would have preferred a more text-based style, but this is just my personal preference.

By Parth G

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May 29, 2020

Overall, a good beginner's level project course. But, it will require a lot of input from the student side, which is necessary for one's growth.

By Ramsrinivas A

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Jan 29, 2020

It is excellent, especially getting to know about foursquare ApI is exciting. But still some part of the codes can be explained from the scratch

By Sylvian

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Aug 21, 2020

Some courses where not as good as others, but the value you get with the lab, provided you keep them and understand them, are of great value.

By Baptiste M

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Nov 27, 2019

Solid finisher with enough freedom and constraints to give a framework for notation yet remaining interesting while preventing to drift away.

By Peter D

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Feb 17, 2020

The course is absolutely a good one for beginners, a category which i fall into. I am sure it will help me in my career as a data scientist.

By Jianxu S

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Sep 21, 2019

An excellent course to learn how to use location data in data science. The last couple of sections can be long hours but worth the effort.

By Enrique H

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Nov 11, 2022

You can apply many concepts that you have learnt in previous courses of the certification, and maybe put in order all the knownledge.