Capstone did provide a true test of Data Analytics skills. Its like a being left alone in a jungle to survive for a month. Either you succumb to nature or come out alive with a smile and confidence.
Wow i finally managed to finish the specialization!! definitely learned a lot and also found out difficulties in building predictors by trying to balancing speed, accuracy and memory constraints!!!
By Neeraj A•
Feeling proud after completing all the courses under Data Science Specialization. This was not an easy task to complete especially if you are not familiar with the Statistics. Requires continuous dedication and motivation to follow and complete. Course is well designed and cover most of the topics. Its just stats part can be enhanced further to cover some basic aspects. Thanks for all the support
By Carlos C•
The course was extremely challenging. It was an excellent capstone to close this full specialization. However, just a little bit of more guidance regarding language models and n-gram models would have been perfect to make the journey easy. However, there's a lot of value on researching on our own and finding the right answers without spoon-feeding. Thank you for everything!
By Rizwan M•
its good learning. however NLP is never introduced in the course. its very hard to compute the metrics and train the model in R. Accuracy of the model is very low, as it's not easy to train the models in R as it requires humungous data sets to get up to 95% accuracy.
Neural networks, LSTM in python with tensor flow is the best choice to do the projects like this.
By Josh M•
Good scenario and a good learning opportunity. I don't think the quizzes related well to the problem we were trying to solve and introduced a red herring, however. Predicting the next best word is not the same as predicting the relative probability of 4 words where one is the "right answer" but not necessarily the best prediction of a text prediction algorithm.
By Juan M•
This is a great capstone project. It requires the student to really have an understanding of the concepts learned throughout the specialization and apply them to build a prediction app. There is very little guidance asides from the discussion forum which could be discouraging at first. Otherwise I would've rated it 5 stars.
By Wesley E•
Overall a good course that makes you learn a lot on your own (unlike the rest of the series). Maybe a bit too much self learning. However, if you can complete it does give you a lot of learning especially in some text analysis which hasn't been covered before.
By Michal S•
The course project was very interesting. It can be challenging if you want to do it properly or easy if you just want to pass. I tried to do it properly for which I had to repeat the course 3 times, but in the end it was good - I think I learned a lot.
By Yoga A Y•
The Capstone Project makes you summarizes what you have learnt so far and take it to the next level, natural language processing . Besides, the ability to create a working app is a reward by itself.
It is challenging and interesting at the same time.
By Yong-Meng G•
The capstone will be much easier if participants have hands-on experience and understanding of how R works. For those who have managed to overcome the steep learning curve, the reward from the learning experience is well worth it.
By shashank s•
It was a challenging project and really pushes you to learn and manage on your own. It also pushes you to build and end to end product within time and memory constraints. Learned a lot during this project!!
By MARIO R G G•
It kinda feels like you versus the world in the first stages, but after correctly implementing and answering the questions poised by the videos and lectures it all stats to click, keep focused!
By Sivaraman M•
The content of this course is very good and the assignments test the knowledge gained
The video lectures are some times boring, losing focus.
I think video lectures need some improvement
By Pieter v d V•
It is a lot of independent work, with guiding questions but no real help otherwise. If that's not your thing, this course is not for. If it is, you'll great a very fun end project.
By Terry L J•
I appreciate all the work they put into creating the course,. However, it can be frustrating to follow. It would be nice if they would structure it in a more organized fashion.
By Robert C•
I wish that either there were a choice of capstone projects, or that there were a more numerical component to the analysis than such a pure text based assignment.
By Sandeep a•
Very good Course as a beginner course for Data science , you will learn a lot of stuff and the capstone is a very good starter for Natural Language processing
By Carlos D C G•
Very interesting, but Capstone is much more difficult than the rest of the course.
Be sure to study carefully the first courses, and don't rush.
By Jean-Philippe M•
I wish we had more training on text mining. Was not that easy! But overall the program is very interesting and challenging! Enjoyed it a lot!
By Alex s•
The project is really interesting by itself, but there is a lack of preparation and instructions to build it, basically you are on your own.
By Robert W S•
Although this project is very open-ended with little guidance, it definitely requires the "full-stack" of data science to complete.
By Humberto R•
Very instructive, since it presents you with a real world problem, that you need to solve by yourself, in all of its complexity.
By Jeremi S•
Challenging. The course could possibly offer a 'here's how it could be done' ideal example after final submission and pass.
By xuanru s•
Very challenge work. new topic. The only issue is if there is any videos that could guide us would be better.
By Zaman F•
Most of the courses were very well tought and contained useful material.
Thanks to all three instructors
By Kalyan S M•
Really great course to apply all the techniques learned earlier in the specialization.