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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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151 - 175 of 990 Reviews for Applied Data Science Capstone

By Haseeb K

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Mar 17, 2023

Truly an amazing journey with IBM tutors I've learned so much from this amazing course. I'm marking this done for my future when I'll become a professional Data Scientist. Now I'll do a Master in Data Science after so much learning from IBM's best content.

By HAIDER M

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Feb 13, 2023

I'm a beginner and starting my career in data science. I'm about to land my dream job which is Data Scientist and this certification is my first step toward my job. It was a wonderful experience and i learned a lot in these five months. Highly recommended.

By Levllyn R

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May 18, 2020

Fantastic, excellently curated

For the capstone , Week 3 was challenging to use the imports for Beautiful Soup (spent a day here and did not figure it out) . As this is different on different platforms, suggest improving this part . Else I loved it.

By Emmanuel F

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Oct 15, 2019

Quite a long series of lectures, but it's definitely worth every minute. I've come to grow from a rudimentary understanding of data science to a level where i can tackle moderately difficult exercises. It was a thralling learning experience for me.

By Ioana B

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Feb 21, 2021

The IBM Data Science Specialization includes everything you need to know about data science. The classes are very comprehensive and can be considered as being for an intermediate level. Very well explained and the hands on labs are very helpful.

By Sarah S

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Jan 9, 2019

Completing this course has really opened a lot of avenues for me in the internship realm, I feel like I have experience with important concepts that open the doors to the places and jobs I want to go. This course was tricky, but worth it.

By Galib H K

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Apr 10, 2019

The Capstone project was great. It helped me to get some hands-on experiment on data Science. Just one thing, the project should be more open and the restriction of using Foursquare API should not be there. Overall, great course really!

By Robert T

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Sep 30, 2021

Applied Data Science Capstone is the final course in IBM data science specialization 10 course program. The course includes all skills learned in previous 9 and a bit of extra. Great course to finalize the program and text the learner.

By Jafed E G

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Jul 6, 2019

I enjoy the lectures. The professor has a good speaking and teaching style which keeps me interested. Lots of concrete math examples which make it easier to understand. Very good slides which are well formulated and easy to understand

By Prem V

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May 17, 2020

This course is really helpful for me, it has given me complete idea about Datascience and lots of Hands on exercise, given me lot of confidence to handle real life data problem alone and bring out useful insights out of it. Thank you

By Mahdi G

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Jun 27, 2023

Really it is Worthfull Course. Helpfull Training Method. Nice Videos & Specially The Labs Are Worthfull & Helpfull.

I extend my thanks and gratitude To Coursera & IBM To give me chance learning. i Say Best Wishes & Regards. u r great

By Robin B

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Mar 18, 2022

A special thanks to IBM for creating this phenomenal course that breaks down what to learn into digestible pieces that layer on top of eachother for a deeper level of understanding. I don’t think I have taken a better class.

By William B L

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May 16, 2019

i have learned a great deal about the tools, methodology, and procedures of data science over the course of these classes. All of this will be critical to building a new career. This course has really empowered my curiosity.

By SHUBHAM K

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Sep 21, 2020

This last project was given in such amnner that all that we learnt in the last 8 courses could be checked at once. I enjoyed a lot doin this course as well as the overall certification. Thanks a lot mentors, IBM and Coursera.

By Larry S

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Aug 31, 2022

A very fine course. It tied together a great deal of the key material in this series. The final project was demanding but very enlightening. Getting to review the work of other students provided many additional insights.

By Joseph G

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Jan 30, 2020

This was great! The review, the practice capstone, and then having the freedom to do our own thing. It took a really long time for me to get it right, but I am so proud of my final product and the fact that I did it myself!

By Emad D

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Jan 30, 2020

I've never imagined I'd be able to produce these insightful results and valuable conclusion from the scattered data. It was really fun and joyful going through the entire specialization, I'd recommend this course strongly.

By Brian B

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Dec 30, 2020

Thorough exercising of everything learned in the courses that lead up to this final capstone project. Python data structures, absorbing files, machine learning, visualizations, and other essential aspects of data science.

By Sergey Z

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Sep 20, 2022

It was excellent learning experience, enjoyed all the challanges this cource provides. Hope to move forward with all the knowledge is gained through this cource. Thank you Courcera, IBM Data Science and all instructors.

By Shepherd M

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Jul 12, 2020

It was really insightful, coming from knowing almost nothing about data science or tools used in data science, it was easy to understand and follow while not feeling shallow. Just the right amount of information density.

By Oliver L

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Jan 22, 2022

Excellent introduction to methodolgy, tools, and technology. If you are considering a BSc or MSc you might want to take this course as a good preview to find out if the field of data science is the right thing for you.

By Xiaolin Z

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Apr 28, 2019

This capstone project is challenge and fun. You are going to use what you have learned to complete an anlysis of a topic. What is more meaningful thing is that you can learn from others by reading their report and code.

By Luis A A

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Aug 27, 2021

Very good module to put in practice everything that has been learned on the previous IBM Data Science courses by creating a custom project, developing a Python notebook and elaborating a report and presentation or blog

By Ka M W

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May 3, 2020

Great course. Capstone project courses always sounds intimidating. Nevertheless with the first three weeks with some practices and guidance, it made the final project exercise very much enjoyable. Highly recommended

By Bhavesh G

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Apr 9, 2020

I learn lot many new things during this course to complete my capstone project. I specially thanks to Instructor Alex Aklson, who taught location based API i.e. foursquare, neighborhood segmentation and clustering.