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Learner Reviews & Feedback for Applied Data Science Capstone by IBM

4.7
stars
6,960 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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101 - 125 of 959 Reviews for Applied Data Science Capstone

By Izabela K

•

Sep 24, 2019

I hoped this course would be more complex but it mostly consist of Foursquare API requests. I had to focus how to fit other datasets in addition to Foursquare data to find something interesting but instead of using fancy algorithms and testing them I had to focus on data and it was really time consuming, I spent 2x more time on each assignment. Whole IBM DS path was great but final course was a big disappointment.

By Bob D

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Feb 7, 2022

A comprehensive recap of the skills learned on the course, but once again full of typos, errors and technical issues. The capstone project itself was an incredibly dull way to bring all the information together, leading to a presentation containing almost no insight. The choice sof data and visualisations made little sense, essentially turning this into brainless donkey work.

By Alperen K

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Dec 14, 2020

it was the worst Coursera course I've ever took. Course capstones pages are buggy, there are not adequate explanations at videos. The final project is very painful because there are not enough resources and you are forced to prepare "notebook", "report" and "presentation/blog post" can't we just prepare two of these items?

By Prentice D T

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Jan 21, 2020

Issues with the lab sessions and untimely responses from the staff hindered my learning. Also, the students did not respond to my questions in the discussion forums, they seem to only be about themselves and having people grade their assignments.

By Sebastian F

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Jul 27, 2022

A stunningly miserable end to a relatively solid program. There are just so many questions I have. Why 40+ slides? Why link each previous project individually, and then collectively? Why have a link in a slideshow? Who on earth thought 40+ slides was at all realistic? That's roughly 4x longer than what would be considered a max number of slides in any professional context!

The amount of redundancy, busywork, and general disrespect toward the individual's time is absolutely attrocious. The several different "activities" that tell you how to make a POWERPOINT are downright insulting.

The actual data gathering, analysis, and prediction training are really cool! The way in which they're all brought together in the end is simply and infuriating waste of time.

By MNejc

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Jul 29, 2021

The course is actually very very hard, I made it through all the Data Science courses for Proffesional Certificate, however, when I came to this final course, I kind of got lost when working on assignments that would lead me to create a project of the desired outcome. As it's been some time since I took other Data Science courses and tried to complete this one, I came back now, after around a year, to see if anything got fixed as I believe other participants of the course had problems creating their projects as well, yet however, I see that nothing has changed. Tried creating the project again, yet got stuck at the assignment for week 3. Maybe Coursera or IBM Teaching staff should really look into this issue that not only I am experiencing.

By nikolas v

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Jul 8, 2020

I get now (8th of July) a message that I can only begin in August on my assignment although I have finished week 4 succesfully!!!

I find it unacceptable that Coursera tries to let you renew your monthly subscription over and over again.

Could you unlock my assignment week 5 please?

Also Coursera let you use IBM lite subscription for free in the beginning but if you use it a lot, the lite version is not enough. You can upgrade, if you pay...

If you enroll for subcourses, you are charged each time you submit another small part.

the classes itself are good but Coursera is not clear on how much you need to pay in the end. The prices they let you believe seem reasonable but there are hidden extra costs.

By Yuhui Z

•

Aug 13, 2022

Worst learning exeperience on Couresera!

Very steep learning curve for beginners. A lot of coding skills were not taught in previous course and I had to do a lot of googling.

It's not that I hating doing my own research, but for a professional training course, I don't expect so many DIYs! There's a difference between being lazy and lack-of- design course and a well-constructed, thinking-encouraging courses.

NOT RECOMMENDED!

By Angelo A d M F

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Jul 15, 2022

Like other courses of this program, it's just worthwhile for someone who is still learning Python, but even in theses cases, there are better course to take. The grading system is the worst I've seen in more than 40 courses at Coursera.

By Laura C

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Jun 18, 2023

If your IBM Watson trial code expires it's impossible to get anyone to help you. You can't finish the course and you're stuck paying coursera while you try to resolve it. Pessimal. Feels like a scam.

By Haryanto A

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Oct 16, 2021

Terrible. I was more than half way through this course and they changed the course and I had to start over. It was already unclear, now the instructions are much less than before. A waste of money.

By Dr S K G

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Apr 28, 2023

There are technical issues in the Lab Projects and no sufficient help received from the instructor/tutors. Very bad experience!

By Takahiro Y

•

Oct 3, 2020

cannot unlock and continue studying after resting the deadline.

By Peter V D

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Mar 18, 2022

It is a teribbly structured course. Avoid.

By Darsh M

•

Feb 18, 2022

Worst and Very hard

By Paul A

•

Sep 24, 2020

When I first started this capstone, it felt a bit disjointed compared with the rest of the courses. But after really biting into it, I realized the content makes sense: it allowed me to put to the test what I learned on the course. Being constrained to use the Foursquare API on the capstone feels a bit odd, but at the end using an API to get information works really well. I tried scrapping the information my self and the workload I put on my self became significant.

The only new machine learning tool introduced for this final part is K-means clustering, it's the most abstract concept on the entire specialization and I think it's the only one that could have been presented somewhat better. What I noticed while reviewing my peers is that for the assignments everyone (me included) would just copy the k-means clustering algorithm and repeat the same analysis used on the labs. Which is kind of a shame, I just wish K-means clustering could have been developed better, beyond copy-paste.

At then end it's you; the person taking this specialization, the one who decides how much work you're going to put into this.

By Sagiraju S D

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Mar 12, 2023

This is a fantastic course for students to learn from scratch what is Data Science about? Articulating and defining Data Science Problem, choosing and curating a dataset, Data wrangling and web-scraping, along with SQL for Data Science for querying data from the databases. Data Analysis, feature identification, identifying independent and dependent variables etc. Various plotting techniques were introduced including Plotly, Plotly Express, Seaborn and Folium. Generating Dashboard using Dashly app development for interactive Exploratory Data Analysis (EDA). Model selection, best Hyper Parameter selection, confusion matrix and model outcome / Performance evaluation etc. Highly recommended for beginners to take this course to up their skills and begin solving Data Science problems....

By Masoud N

•

Oct 12, 2022

A comprehensive step-by-step guided project with a real-world dataset to implement most of the required skills that a data scientist must be familiar with. Data collection thru API & web scraping, data cleaning, EDA with SQL & pandas/numpy, visualizations with matplotlib, pandas & seaborn plus geospatial data visualization with folium, creating interactive with plotly dash, classification with machine learning algorithms, and preparing a set of slides to present the story and a GitHub repo to share the outcomes with the peers are the steps that an individual must carry out to complete the course. Totally recommended! Thanks, IBM & thanks, Coursera!

By Marius-Liviu B

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Dec 28, 2021

A tough course! I'm not a 9 to 5 Data Scientist so I need to made a lot of research in order to finish the project. But in the end it deserved it. I've learn a lot of things: technologies, libraries and concepts. Even my current job is PHP Developer I was amayzed how many tools from my current domain activity I can use on Data Science (Git, programming, SQL, Web scraping, Office suite tools). It was a well spent time and looking back on the overall experience for IBM Data Science Professional Certificate my one word conclusion is: "professionalism". And the second word that defines IBM since I hear about it is "innovation".

By SADASHISH K B

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May 17, 2023

Thank you to IBM and Coursera for providing such a beautiful and depth knowledge of Data Science to us in an order way. Really after completion of 1 year of IBM Data science course ,I can say confidentally that I am IBM Certified Data Scientist with depth Knowledge. Thank you to All my mentors and teachers who really made me knowledgeable person regarding Data Science.

I will recommend this professional Data Science course to all beginners who are searching Data Science course in Coursera.

By Oritseweyinmi H A

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May 31, 2020

Tough but ultimately very rewarding as you see your own data science project through from inception, to data pre-preprocessing, modelling and finally presenting. All in all, great course and a perfect way to round out an amazing specialization! Thank you IBM and thank you to all the course lecturers who contributed to make this high calibre program. This has given me the grounding and the confidence needed on my path towards being a data scientist.

By Had G

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Apr 29, 2021

Interesting project using Folium and Foursquare API. I learned a lot about geolocalization, and also pandas tricks, as i if you choose a subject on your own, usually your data sources are not cleaned (most of the time you got it by scrapping). Plan to work more than 20hrs (rather 30 - 40h) in order to complete the programming part (notebook and data analysis), the report (15 - 20 pages) and finally the blog article.

Enjoy it all !

By Zhanna K

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Jun 22, 2021

Many thanks to all the teaching staffs for such interesting courses and diversified subjects. It was fascinating to learn something new each time. Sometimes there were technical issues with Watson Studio and code running mostly because of our lack of knowledge but sometimes real technical issues not depending on us. Thanks for teacher's help and peers' care to assist. I am satisfied with this 10 Module course.

By Aécio L

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May 21, 2020

O curso em si é bom, porém pede conhecimentos que não são passados durante o programa, e isso é algo inesperado, porém todos que querem trabalhar como cientista de dados devem estar preparados para contornar e vencer desafios diariamente. Então vejo como positivo essa estratégia de solicitar algo fora do escopo do treinamento. Pra mim foi muito bom, tive oportunidade de aprender coisas novas o tempo todo.

By Anthony S

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Mar 2, 2020

This course was challenging but rewarding. The setting up of the course was really quite frustrating but as everything continued I found myself incredibly engaged with what is going on. This course specialization was my first exposure to what are essentially programming skills and use of the Python language so it was really valuable to be able to produce a piece of work to demonstrate what I learned.