Latest Courses
The Complete SQL Course 2020: Become a MYSQL MasterCheck course
PYTHON - A to Z Full Course for BeginnersCheck course
Snowflake[A-Z] Zero to Hero Masterclass(Core+SQL+API+Visual)Check course
Accelerate Freight Broker Training By Shayla MooreCheck course
Learn Multithreading in C++Check course
Double Your Donations & Succeed at FundraisingCheck course
Facebook Authorization with NodeCheck course
Build a Math Quiz iOS Game, no coding, source code includedCheck course
Java Reflection - Master ClassCheck course
Learn How to Make an Ecommerce Website with WordpressCheck course
The Complete SQL Course 2020: Become a MYSQL MasterCheck course
PYTHON - A to Z Full Course for BeginnersCheck course
Snowflake[A-Z] Zero to Hero Masterclass(Core+SQL+API+Visual)Check course
Accelerate Freight Broker Training By Shayla MooreCheck course
Learn Multithreading in C++Check course
Developing Data Products

Developing Data Products

FREE

(58 customer reviews)
Add to wishlistAdded to wishlistRemoved from wishlist 0
Add to compare
8.3/10 (Our Score)
Product is rated as #202 in category Data Science

A data product is the production output from a statistical analysis. Data products automate complex analysis tasks or use technology to expand the utility of a data informed model, algorithm or inference. This course covers the basics of creating data products using Shiny, R packages, and interactive graphics. The course will focus on the statistical fundamentals of creating a data product that can be used to tell a story about data to a mass audience.

Instructor Details

Brian Caffo, PhD is a professor in the Department of Biostatistics at the Johns Hopkins University Bloomberg School of Public Health. He graduated from the Department of Statistics at the University of Florida in 2001. He works in the fields of computational statistics and neuroinformatics and co-created the SMART ( www.smart-stats.org) working group. He has been the recipient of the Presidential Early Career Award for Scientist ( PECASE) and Engineers and Bloomberg School of Public Health Golden Apple and AMTRA teaching awards.

Specification: Developing Data Products

Duration 14 hours
Year 2015
Certificate Yes
Quizzes No

58 reviews for Developing Data Products

4.7 out of 5
46
7
2
3
0
Write a review
Show all Most Helpful Highest Rating Lowest Rating
  1. Avatar

    Julien N

    discovery of amazing tools and possible applications of rstudio and additional packages. good pace of the course

    Helpful(0) Unhelpful(0)You have already voted this
  2. Avatar

    Jesse K

    The concept itself was great, but there were numerous issues with the peer review exams, especially around the requirements.

    Helpful(0) Unhelpful(0)You have already voted this
  3. Avatar

    Saah N T G

    Awesome Lessons! I learned how to build shiny application and today I’m very happy!

    Helpful(0) Unhelpful(0)You have already voted this
  4. Avatar

    Simon

    A lot of useful parts for visualization here! plotly and shiny are super useful in a business context. swirl and leaflet a bit niche perhaps.

    Helpful(0) Unhelpful(0)You have already voted this
  5. Avatar

    Mohammad A

    Great course, practical and very informative

    Helpful(0) Unhelpful(0)You have already voted this
  6. Avatar

    Lucicleyton H d F

    The syllabus is very unbalanced through the weeks. For example the week 01 could be split into two weeks . The week 04, in my view, is unnecessary.

    Helpful(0) Unhelpful(0)You have already voted this
  7. Avatar

    Vijay B

    Review took too long

    Helpful(0) Unhelpful(0)You have already voted this
  8. Avatar

    Daniel J R

    This class includes a lot of introductory content an a good measure of hands on practice. It also provides a great amount of resources and reference material for the learners to expand their knowledge further.

    Helpful(0) Unhelpful(0)You have already voted this
  9. Avatar

    Raul M

    It is a nice class but many of the topic were already covered on previous class of the specialization. If this is the only class you will take, it is okay but it you are taking the whole specialization this is like doing few (not all) things again

    Helpful(0) Unhelpful(0)You have already voted this
  10. Avatar

    Cesar A

    Demanding if you are not used to do this kind of things, but, worth It if you give yourself a time to get into it.

    Helpful(0) Unhelpful(0)You have already voted this
  11. Avatar

    Paul R

    A disappointing end to the pre capstone lectures, taking the foot off the machine learning gas from course 8 with a detour back to tools and yet another Rmarkdown lecture. This basically covers building shiny apps (needed for the capstone), leaflet (maps), making presentations in RStudio then gets lost in R Packages and Swirlify which are not very useful here. Some of this is needed in the capstone, but this course can be compressed and combined with earlier courses and make room here for something more substantial at this late stage in the specialization.

    Helpful(0) Unhelpful(0)You have already voted this
  12. Avatar

    Joao F

    Excellent course (like the previous 8 in the specialization) and very useful for anyone working with data and involved in data storytelling. Brian (the teacher) does an awesome job explaining the concepts and how the functions and scripts in R work and interact with each other to bring about shiny apps and other visualizations. A big “Thank you!” to everyone who created this course!

    Helpful(0) Unhelpful(0)You have already voted this
  13. Avatar

    Alfredo A N

    Interesting course but some topics don’t have motivation

    Helpful(0) Unhelpful(0)You have already voted this
  14. Avatar

    Premkumar S

    Great course!! Was very excited with the whole process of learning to write an app and create something useful!! Thank You!

    Helpful(0) Unhelpful(0)You have already voted this
  15. Avatar

    Bruno R d C S

    this curious course teaches about tools and techniques for communication with audiences on data science. some tools are very interesting and deserve a deep research from the learner, this course is mostly informative about the potential of such tools.

    Helpful(0) Unhelpful(0)You have already voted this
  16. Avatar

    Nino P

    In terms of practical data science in R, this is the most usefull course in the specialization. Here you can learn a lot about very important R packages such as shiny, MarkDown, leaflet,… Highly recommendable and very, very important.

    Helpful(0) Unhelpful(0)You have already voted this
  17. Avatar

    Subramanyan K P

    good course

    Helpful(0) Unhelpful(0)You have already voted this
  18. Avatar

    Luis M M R

    very good

    Helpful(0) Unhelpful(0)You have already voted this
  19. Avatar

    Glener D M

    Indispensable for anyone who wants to make a career in data science. I recommend.

    Helpful(0) Unhelpful(0)You have already voted this
  20. Avatar

    Jeffrey M H

    This course provided a great number of methods used to deliver a data project.

    Helpful(0) Unhelpful(0)You have already voted this
  21. Avatar

    jessica c f

    This is the ninth course of a series of nine courses. The creation of the apps and the didactics is very good, I just needed to do the first course of the series to get to work better the fundamentals, since this course is a bit advanced. I loved the experience and everything I learned, I would say it is well worth it!

    Helpful(0) Unhelpful(0)You have already voted this
  22. Avatar

    Ingrid T

    Best class of the specialization. The assignments were actually instructive.

    Helpful(0) Unhelpful(0)You have already voted this
  23. Avatar

    Diego C

    Excellent course!

    Helpful(0) Unhelpful(0)You have already voted this
  24. Avatar

    John D M

    This is an excellent course. It’s not as hard as the last three in the sequence but there is plenty to experiment with, and I was very pleased to see that we learned how to build packages, methods, and classes along the way, created an app, and even delved into building our own Swirl tutorials. While not strictly part of creating a data product, those are great things to have on the resume. I was pleased to see the capabilities of Plotly and will certainly use that. As with all of these courses, you must pay close attention to the marking rubric to get full marks. Onward to the Capstone!

    Helpful(0) Unhelpful(0)You have already voted this
  25. Avatar

    Brayan A A X

    Extraordinario Curso

    Helpful(0) Unhelpful(0)You have already voted this
  26. Avatar

    German R M S

    Excelente curso, 4 estrellas debido a que las instrucciones para revision no son tan claras y los companeros revisan de forma subjetiva.

    Helpful(0) Unhelpful(0)You have already voted this
  27. Avatar

    Shubham K

    It is a good course provide neccessary stuffs for data science. You can skip week 4 as it is done previously in other courses . Small and good course.

    Helpful(0) Unhelpful(0)You have already voted this
  28. Avatar

    Rodrigo F L L

    Excelent introduction to the topic and really fun to use!

    Helpful(0) Unhelpful(0)You have already voted this
  29. Avatar

    Khalid S A

    excellent Course

    Helpful(0) Unhelpful(0)You have already voted this
  30. Avatar

    Andreas P

    Thank you very much.

    Helpful(0) Unhelpful(0)You have already voted this
  31. Avatar

    Rok B

    It is a very good course. There’s quite some work, but the content isn’t hard. Make sure you update your RStudio for all the features to work correctly

    Helpful(0) Unhelpful(0)You have already voted this
  32. Avatar

    Manuel E

    Some parts could be dropped and devote that time to develop the content of others beyond scratching the surface.

    Helpful(0) Unhelpful(0)You have already voted this
  33. Avatar

    Charbel L

    Very good. Basic but very diverse

    Helpful(0) Unhelpful(0)You have already voted this
  34. Avatar

    Muhammad Z H

    learning alot

    Helpful(0) Unhelpful(0)You have already voted this
  35. Avatar

    Connor B

    great exposure to the tools available in R

    Helpful(0) Unhelpful(0)You have already voted this
  36. Avatar

    Yogesh D

    Very good course from app development perspective

    Helpful(0) Unhelpful(0)You have already voted this
  37. Avatar

    Rizwan M

    good

    Helpful(0) Unhelpful(0)You have already voted this
  38. Avatar

    Alimohammad P

    Out of the other 8 modules, I personally liked this one the most. Here is where you put into practice what you’ve have learned so far. Great job guys!

    Helpful(0) Unhelpful(0)You have already voted this
  39. Avatar

    Courtney R

    Great opportunity for applying what we’ve learned.

    Helpful(0) Unhelpful(0)You have already voted this
  40. Avatar

    Robert J C

    Able to run app on line. Super.

    Helpful(0) Unhelpful(0)You have already voted this
  41. Avatar

    Mehrdad P

    overall it was ok, but it is somewhat limited.

    Helpful(0) Unhelpful(0)You have already voted this
  42. Avatar

    Wellintton P

    great course with a lot of hands on work

    Helpful(0) Unhelpful(0)You have already voted this
  43. Avatar

    Eric J S

    I learned what I wanted to get through this class. I didn’t learn most of it in the class.

    Helpful(0) Unhelpful(0)You have already voted this
  44. Avatar

    Purificacion V

    This course is as good as previous from Data Science Specialitation. Thank you!!

    Helpful(0) Unhelpful(0)You have already voted this
  45. Avatar

    Claudio F S

    Excellent course! To learn how to build of App in R by using Shiny is differential for a Data Science Analyst.

    Helpful(0) Unhelpful(0)You have already voted this
  46. Avatar

    Bolaji O

    It another great lecture in this specialization course. Simplified, understandable, and highly impactful. You’d learn A Z of shiny app development.

    Helpful(0) Unhelpful(0)You have already voted this
  47. Avatar

    Yadder A G

    All that I learned on this course it’s totally helpful. I loved this course because I feel that learn a lot of new useful tools that I can use in my work.

    Helpful(0) Unhelpful(0)You have already voted this
  48. Avatar

    Pedro M

    Heavy on boring videos!

    Helpful(0) Unhelpful(0)You have already voted this
  49. Avatar

    Doug A

    It was a great class.

    Helpful(0) Unhelpful(0)You have already voted this
  50. Avatar

    Amanyiraho R

    I wish there was a sixth star

    Helpful(0) Unhelpful(0)You have already voted this
  51. Avatar

    Dr. T A

    I appreciated the wholistic approach of presenting the information via GIT, R shiney server and making the slides…. all very useful going forward.

    Helpful(0) Unhelpful(0)You have already voted this
  52. Avatar

    Leonardo Z

    There are some concepts that should be disclosed as pre requisites for this course. I had to re sit this course not for the content but for the pre requisites.

    Helpful(0) Unhelpful(0)You have already voted this
  53. Avatar

    Jose A N

    Great value and inspiring.

    Helpful(0) Unhelpful(0)You have already voted this
  54. Avatar

    Ivan V M

    Good hands on!!!

    Helpful(0) Unhelpful(0)You have already voted this
  55. Avatar

    Rob S

    You learn a lot of things that you can use also in other domains.

    Helpful(0) Unhelpful(0)You have already voted this
  56. Avatar

    Ignacio O

    Its a very nice course to learn the basics on how to prepare an data science app.

    Helpful(0) Unhelpful(0)You have already voted this
  57. Avatar

    Shailesh S P

    good course

    Helpful(0) Unhelpful(0)You have already voted this
  58. Avatar

    Rose G

    All of the content was in the first two weeks, but really interesting nonetheless.

    Helpful(0) Unhelpful(0)You have already voted this

    Add a review

    Your email address will not be published. Required fields are marked *

    This site uses Akismet to reduce spam. Learn how your comment data is processed.

    Price tracking

    Register New Account
    Reset Password
    Compare items
    • Total (0)
    Compare