Alex Aklson
This capstone project course will give you a taste of what data scientists go through in real life when working with data. You will learn about location data and different location data providers, such as Foursquare. You will learn how to make RESTful API calls to the Foursquare API to retrieve data about venues in different neighborhoods around the world. You will also learn how to be creative in situations where data are not readily available by scraping web data and parsing HTML code. You will utilize Python and its pandas library to manipulate data, which will help you refine your skills for exploring and analyzing data. Finally, you will be required to use the Folium library to great maps of geospatial data and to communicate your results and findings. If you choose to take this course and earn the Coursera course certificate, you will also earn an IBM digital badge upon successful completion of the course. LIMITED TIME OFFER: Subscription is only $39 USD per month for access to graded materials and a certificate. IBM offers a wide range of technology and consulting services; a broad portfolio of middleware for collaboration, predictive analytics, software development and systems management; and the world’s …
Instructor Details
Courses : 7
Specification: Applied Data Science Capstone
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64 reviews for Applied Data Science Capstone
Add a review
| Price | Free |
|---|---|
| Provider | |
| Duration | 14 hours |
| Year | 2018 |
| Level | Intermediate |
| Language | English |
| Certificate | Yes |
| Quizzes | Yes |
FREE
Mo R –
This course is a great place to apply all the concepts about Data Science that we have learned in 8 courses!
ADIL B –
Started with no programming knowledge, took this while working a full time job, it was not always easy, but i am really glad that i took the decision to go out from my confort zone. Today i can handle topics like machine learning, data analysis and visualization with python. thanks for the IBM team who really has done an amazing job on this course.
Armen M –
Just terrible , No Any Idea what to build no any suggestion what methods to use togeher
Mariusz M –
It brings a lot of challenges, I like them.
Ajit C –
Fantastic experience… Lots of new learning and room for self improvement… Keep it up.. Cheers
Shengrong T –
Excellent course. Love the labs the projects.
Houssam A –
A real data science projet. This one took me the most time between all other courses in this formation. I is useful and make you work with real problems and searching for real data.
Matthew L –
This course was fantastic and provided invaluable hands on experience with data science and machine learning that is immediately applicable to real world projects.
Javier I R V –
recommended if you do all the other courses od data science
Jacob K J –
great classes
KARTHIK –
Feeling happy to complete this course!!!
Anil K S –
It was an excellent experience having this course. Thanks a lot to Alex.
Nguyen D H A –
Good practice. The format of the submission also helped to showcase your skills too!
nauman m –
Best course on datascience covering all steps to follow to be a better DS
Ashish D –
Utterly useless. It mandates a learner to work on geo data related project only. And that too using a very specific api and data. No option to work or submit meaningful capstone projects.
Daniele –
Very nice! You get to work on a project on your own to demonstrate the skills acquired in the other courses of the specialization!
Alberto I A –
Broken links in samples and csv data files.
Yu M C –
very long to get anything reviewed.
Alaso L K –
Very challenging and gives room for the student to apply all they’ve learnt wrangling, sorting and analysing Data… and using these skills to solve a real world problem.
VIGNESHKUMAR R –
Learn new concept in this course .Thanks to IBM and coursera.
Aaron T V –
A tough project at the end, but if you’ve worked through all the previous modules leading up to this one, you’ll be well prepared.
Hadi N –
I would have liked to come up with a capstone project which did not encourage me to use location data from Foursquare, and rather use other data to come up with problems and solutions which do not necessarily have to do with location data. But all in all, it was an interesting course and great knowledge was gained
Hoang A Q N –
I learn new skills from this course, especially how to establish the Github profile and use it as my portfolio; and using Foursquare API to for location analysis
Michel M –
Challenging and interesting
PATRICK M –
excellent supervision and tutor
iyyanar –
Good
Manikandan P –
Good Start and Good knowledge
Jeffrey G D –
Demanding and thorough course.
MUTHURAMALINGAM A –
Good content
Satishkumar M –
Average
Josh H –
AAA
Karin M C –
A great capstone. I enjoyed it very much. Thank you
Kristen P –
excellent course. easy to follow content
Tsungai J M –
Very challenging but truly rewarding. I learnt a lot through the mistakes I made throughout the project but there is a lot of support on the forum and the internet to help with any issue.
Sree –
Engaging Project!! Learnt new concepts
AHMET T –
Great!!!
Kevin C –
This was a great course. Being able to apply all of the knowledge gained from the rest of the specialisation was great!
PD T –
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.
Abilio R D –
I loved the challenged and freedom that this course gave us to produce our Capstone project. Congrats for this excellent course! thank you.
Johan M R Z –
excelente
Sumit G –
The course was very helpful in presenting me the world of data science, what exactly are the things we need to be proficient in to excel in this field ! Best course of all was Machine learning with Python, you will enjoy doing it ! and we need more questions in quiz to test what student has gained at every step.
Jayesh M –
Awesome course, hand on experience for completing and solving the problem.
Frederick O –
I learned a lot more than I was expecting. Also, the course was structured for finishing small portions of the capstone so you are not too overwhelmed.
Ramsrinivas A –
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
Joseph G –
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!
Emad –
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.
Nagendra R J –
Awesome. Loved learning through this all coureses. keepup good work!
Satwik R K –
Mentors won’t teach how to use foursquare API and how to apply different ML algorithms. As the certificate names professional Data Science there is no introduction or explanation about neural networks. A deployment part is needed.
Amey S P –
It is good for beginners.
Agustin P S –
I’m glad we get to choose the theme of our final project, because I had a lot of fun, and not having any templates or guides to follow really tests what you have learned until now. This course can either be really fun or really boring, depending on what YOU choose as your final project.
Christopher H –
Wonderful course!
Durojaye P –
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.
Danish B –
Brilliant and fully hands on course.
Rafael T –
The course is good. It makes you think on all the knowledge acquired during all other 8 courses and make you put in practice. The only drawback in my opinion is that the course relies on an unreliable platform for Jupyter Notebooks. Several times I wanted to access my notebooks to continue with the course and got a lot “Bad gateway” problems and slow responses in general. It was frustrating because the best part of the course are on the notebooks.
Aditya D –
Great way to engage in Critical Data Science Thinking
Francine S –
The content of courses are great! Went through step by step until a high technical level. Unfortunately, the lab is always out of server, me and others users have been reported the same problems every now and then and nothing changed. I finished the course without practice the labs and I can’t check the exercises to start an own project! Apart from that, the whole course is worthwhile.
Rohit B –
Very good course. There were some serious downtimes in the IBM Developer Skills network which delayed my progress significantly 5. I had to extend my course time by a month and the next month’s fees kicked in. That said, it was a great experience doing this course and the professional certificate overall.
Sudeepta C –
It is a wonderful opportunity to learn and gain insights into this field. The contents are lucid and provide ample exposure to the concepts and technologies
Oliver E A B –
It is good because you get to know many tools to get data and it has very good examples of how a project should look, but i think this is a project that must not be reviewed by other students, so we get useful feedback.
Sven V –
A good course but this last “Capstone” course takes a lot more time than is allocated. I had to look up many Python coding instructions and do a lot of research myself. I feel like the initial 8 courses do not prepare you sufficiently for the final assignment. I probably spent twice the hours allocated on this assignment but had a great feeling of accomplishment at the end.
Anuar M –
Excellent capstone project, it provides me with ability to apply what I have learned throughout the data science courses.
Antonio S –
Great course! A few suggestions to improve might be: make sure the labs.cognitiveclass notebook page work it’s had had problems for weeks; some of the exercise notebooks from the IBM authors have blatant typos.
RITIK Y S –
Need some more guidance on Capstone
Garima K –
Outdated and poorly taught specialisation. My best experience on Coursera has been Andrew Ng’s ML course and maybe it raised the bar too high. But that was a course that taught the student (keyword: taught). This does not even come close. Would not recommend.