Mar 24, 2017
I think this is a very advisable course as a whole, The capstone offers a good occasion to put into practice what has been learned during the four previous courses and also works as a sort of review.
Jul 13, 2017
Great course, learned a lot and got me started on another project that I've turned into a really nice portfolio item. I feel much more comfortable with R and statistics principles.
創建者 Erik F
•Jun 19, 2017
This section guides you through performing a complete analysis. Some of the grading criteria are inconsistent with the tasks stated in the project. However, in my experience giving the kind of report that you'd generate from R markdown to a non-technical, non-statistically minded stakeholder will result in bewilderment. While Rmd is a good format for documenting your approach and creating a reproducible data analysis, the report presented to stakeholders should take a much different form. In writing an Rmd, you are necessarily constrained by the need to write code in a particular order -- that order may not be the most beneficial one to present. Furthermore, having long summary output of various models and other such code is generally not helpful to non-technical stakeholders. I understand that not using Rmd would make grading more difficult, so I'm ok with Rmd being used here. But I think that it would be good to explain this all to students.
創建者 Louis S
•Jan 22, 2019
This Capstone has giving me a good understanding of statistic's, and the role this discipline plays in the real world. A special thanks to Mine Çetinkaya-Rundel I feel that she does an amazing job communicating the concepts.
創建者 Marina Z
•Aug 01, 2017
Great! Enjoyed it!
創建者 Vinh H
•Oct 13, 2017
Very good !
創建者 José L E N
•Mar 24, 2017
I think this is a very advisable course as a whole, The capstone offers a good occasion to put into practice what has been learned during the four previous courses and also works as a sort of review.
創建者 andy d
•Apr 04, 2017
The Capstone project really helped tie the program together
創建者 Thomas J H
•Aug 24, 2017
This was a highly challenging sequence of four courses and capstone, but worth the considerable investment in time and effort. Overall, with just a few glitches here and there, the specialization was superbly taught and well-designed. I thank Mine and the rest of the Stats team at Duke for offering it. I would also like to see Bayesian Stats made perhaps into two courses. Or even a follow-up Bayesian course perhaps not required for the specialization. Professor M. Clyde is one of the world's leading experts on Bayes, and the creator of the BAS package. All respect! I would like to have more of her teaching, but at a slightly less steeper learning curve. To my fellow students and the Duke team, thanks again.
創建者 José M C
•Mar 22, 2017
Great activity!!
創建者 Minas-Marios V
•Jun 11, 2017
Very interesting project, a great real-world application example. Highly recommended to anyone that finishes the previous classes.
創建者 Roland
•Feb 02, 2018
Excellent course
創建者 Matthew L
•May 14, 2018
Sometimes capstone courses are focused just on a final project. In this case, the capstone also includes quizzes which force you to review material that will be helpful in doing the final project. Overall, I would say that I felt a little behind compared to my peers in this specialization, since I started from zero; but on the other hand, I was still able to successfully complete it, so with a lot of hard work it is possible.
創建者 Ryan W
•Nov 15, 2017
Great lead up to a final capstone project, in which you test a model for overfitting and validate on out-of-sample data.
創建者 Adam C
•Jul 13, 2017
Great course, learned a lot and got me started on another project that I've turned into a really nice portfolio item. I feel much more comfortable with R and statistics principles.
創建者 Albert C G
•Jul 02, 2017
Great
創建者 Dai Q
•Apr 26, 2017
Thank you very much for teaching me all the statistics courses in the specialization. Although it is an online study, I think I benefit a lot from the course contents, quizzes and problem sets and the training from final projects one by one. Also, I appreciate a lot the feedback from other students in the courses, which gives me more confidence on my study. As a matter of fact, I know I still have a lot of room to improve on my final project, such as consistency of EDA with the later part of my project, assessment on residual plots, real understanding on the trade off between model interpretation and prediction accuracy, etc., which I will improve in my future study and analysis. No matter where and what I will study in the future, I always bring the statistics knowledge and R skills that I learned from my first specialization from professors at Duke University. Thank you.
創建者 Jim F
•Apr 06, 2018
Loved this course
創建者 Arjun B
•Feb 22, 2018
Strong Capstone Project
創建者 Jian W T
•Dec 04, 2017
The capstone project is an excellent way to utilise the skills and knowledge learnt from the previous 4 courses in the specialisation. I learnt a lot about conducting a data science project from start to finish and it allows for ample time to experiment with different approaches to accomplish the project goals. This capstone project, and the 5-course specialisation, is highly recommended.
創建者 PAUL M
•Jul 10, 2018
V
創建者 Chin J L
•Sep 03, 2018
A very useful and practical course. The learner had an opportunity to practice the skills he/she learned in the previous course and use it in a real-life situation.
創建者 Joanna L
•Aug 19, 2019
Great, comprehensive way to utilise all of skills obtained during this specialization!
創建者 Andrea P
•Oct 08, 2019
Very interesting project oriented and practical case! Well done!!
創建者 Tom M
•Aug 16, 2017
Excellent
創建者 Bruce H
•Dec 06, 2017
This project will reward you for the time you invest. It's a good simulation of a real-world exercise in using concepts from the specialization. The reason I took away one star is because the grading rubrics at every step are relatively superficial, sometimes absurdly superficial.
創建者 ninad p
•Dec 07, 2019
This was my first course, and found it very useful to learn new skills.