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Advanced Data Science Capstone

Advanced Data Science Capstone

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8.9/10 (Our Score)
Product is rated as #55 in category Data Science

This project completer has proven a deep understanding on massive parallel data processing, data exploration and visualization, advanced machine learning and deep learning and how to apply his knowledge in a real–world practical use case where he justifies architectural decisions, proves understanding the characteristics of different algorithms, frameworks and technologies and how they impact model performance and scalability. Please note: You are requested to create a short video presentation at the end of the course. This is mandatory to pass. You don’t need to share the video in public. 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 most advanced servers and supercomputers. Utilizing its business consulting, technology and R&D expertise, IBM helps clients become “smarter” as the planet becomes more digitally interconnected. IBM invests more than $6 billion a year in R&D, just completing its 21st year of patent leadership. IBM Research has received recognition beyond any commercial technology research organization and is home to 5 Nobel Laureates, 9 US National Medals of Technology, 5 US National Medals of Science, 6 Turing Awards, and 10 Inductees in US Inventors Hall of Fame.

Instructor Details

Romeo Kienzler holds a M. Sc. (ETH) in Information Systems, Bioinformatics & Applied Statistics (Swiss Federal Institute of Technology). He has nearly two decades of experience in Software Enineering, Database Administration and Information Integration. Since 2012 he works as a Data Scientist for IBM. He published several works in the field with international publishers and on conferences. His current research focus is on massive parallel data processing architectures. Romeo also contributes to various open source projects.

Specification: Advanced Data Science Capstone

Duration

10 hours

Year

2018

Level

Expert

Certificate

Yes

Quizzes

Yes

39 reviews for Advanced Data Science Capstone

4.7 out of 5
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  1. Tobias H

    n/a

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  2. Sven

    Excellent specialization!

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  3. P

    Capstone project is really rewarding and gives an opportunity to apply all the knowledge gained in this specialization. Peer review grading had some teething issues but Romeo made sure it all worked at the end! Big thanks to all instructors

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  4. Farzan B

    Good ending to the data science certification but Foursquare API is really limited…

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  5. Wilton T

    The capstone was a great way to put together and reinforce all the skills that we had learned.

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  6. Dmitry B

    The project was fun and interesting to work on. I would be happy to see more peer reviewed exercises as the requirements are rather loose and that would be helpful to learn other people’s perspectives.

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  7. Shakti s

    I liked the peer graded environment. Like the final submission requirements. That’s really helps in aquiring the skills like presentation skills, Documentation skills, project mangement

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  8. Jozeene

    Very in depth. I did not have a chance to take full advantage because I was hurrying to use up my IBM voucher. But I wish I had taken more time, to go more in depth with my project. Thank you so much!

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  9. Khawar A A

    Awesome course. Lot of learning

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  10. Jose L R

    I find this course enlightening, simple to follow and a bit challenging! I feel much more confident in my Advanced Data Science skills after this course.

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  11. Riku S

    Hands on work with a topic of choice. You have to get and prepare data for a problem, analyze the data, preprocess it and create machine learning models and deep learning models with the data, and present the results in an understandable way. You even have to make a presentational video (which was not much into my liking).

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  12. Alex P

    Wonderful experience of a real project development and presentation!

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  13. Vlad T

    Like that course. It combine all you skills in a one project. It is very helpful for the understanding why and how ML can help for the business. Personal thanks for Romeo Kienzler!

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  14. Diego S S

    Great course, I really recommend it!

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  15. Bruno N

    A great exercice, taking into account not producing models, but also elements on the process to drive a data science project.

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  16. Daniel T

    I loved this course. It forced me to think. It forced me to revisit all of the previous courses. It forced me outside of my comfort zone, and into my true learning zone.

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  17. K. Y W

    Innovative teacher and course. Learned how to make a youtube video beside the data science challenge. On the whole specialization, very comprehensive and set me up to want to delve further next.

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  18. Sheen D

    I like this project a lot, even though I didn’t do it well enough.

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  19. Vasilis K

    Great instructors! A very welcome challenge!!

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  20. Ashish P

    Nice course

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  21. Jose A S D L

    It is a great course to prove how much you know about data science and machine learning

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  22. Ted H

    I had lots of fun doing the Capstone. The teaching was all about following a good process, but for the project (which was 95% of the course) you could go in any direction you like. I suspect I went overboard with the project, but it was a great chance to dig deep. Think of this as an opportunity to build your resume with a high quality work product that can be seen by future employers.

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  23. PV R K

    excellent course

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  24. Muhammad Z H

    Thanks Professor

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  25. Saman S

    that’s wonderful

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  26. Markus W

    Making my own data science project was a fun and rewarding project.

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  27. JOSE R F J

    Advanced Data Science with IBM

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  28. Giovani A S d N

    The course offers to student the opportunity of improving the skills in development solutions using tradicional machine learning and using Deep Learning. Moreover the student can learn to project data science solutions.

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  29. Abdelfettah H

    it was really helpful, thank you so much.

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  30. Hossein D

    it was good, But we need to dive deeper

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  31. Pierre–Matthieu P

    I really enjoyed this capstone project. I got my hands dirty on a real usecase and the framework provided by the instructors really helped. My only regret is that I had to rush things a bit at the end and my final deliverables were not as good as they could have been with a little more polish. But then, living with deadlines is also a skill every professional must learn.

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  32. Julien P

    Good course. But the peer rating system could be improved: it takes a long period of time (several days) to get a review.

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  33. Prithvi S

    Great course. Love to make a project in my own.

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  34. Muyanja S Z

    This is data crunching, varied machine learning model exploring, training, testing, validating and deployment course. What a goldmine for both novices and seasoned and initiated!

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  35. Giovani F M

    Great course It was a good opportunity to apply the knowledge from previous courses of this specialization.

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  36. Renzo G

    The freedom in the assingment you gain by selectign an open dataset is much appreciated and invaluable! Helps you to jump into the water!

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  37. Jeremie B

    I liked the three previous courses, but not this one. Being obligated to make a Youtube video and other useless documents that nobody will care about is a loss of time and not necessarily efficient to learn and improve (at least not every learner will like this approach and benefit from it). There is nothing really new compared to the previous courses. Not much work by the teachers: almost no videos, the texts are not very well written and not so interesting. The only good thing is that the course summarizes various aspects of data analysis.

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  38. Dmitry S

    Good Capstone course. Nice guidance through all the steps of a typical data science project and architectural decisions to be made. It provides a good perspective and complements the rest of the courses in this specialization.

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  39. Rorisang S

    Great way to boost confidence in my newly acquired skills. The video is a great way to revise what you have learnt.

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