JMP is a great tool for beginners
March 31, 2022

JMP is a great tool for beginners

Ryan McLean | TrustRadius Reviewer
Score 7 out of 10
Vetted Review
Verified User

Software Version

JMP Pro

Overall Satisfaction with JMP Statistical Discovery Software from SAS

It is a really good product for machine learning beginners. It has a really strong point/shoot capability that makes it ideal for those who are learning how to use statistical algorithms but don't know enough to choose the right package in another system. I also like that JMP has a lot of other features that can help beginning data scientists get more familiar with and explore their data.
  • Machine Learning.
  • Data Cleaning.
  • Reproducible code.
  • I like it when I can type in the code myself and although there was a print and save code option from the menus, I could not have produced the code myself in an easy-to-use console.
  • Data exploration.
  • Machine Learning algorithms.
  • It is a really great tool because it makes machine learning approachable.
  • That is hard to say since it was purchased for me and so I don't know how worth it was. I really liked using the program.
It is great because it has UI menus but it costs money whereas the other programs are free. That makes it ideal for beginners but I think that RStudio and Python are going to make someone a lot more marketable for future opportunities since most companies won't pay for the software when there is a great free option.

Do you think JMP Statistical Discovery Software from SAS delivers good value for the price?

Yes

Are you happy with JMP Statistical Discovery Software from SAS's feature set?

Yes

Did JMP Statistical Discovery Software from SAS live up to sales and marketing promises?

I wasn't involved with the selection/purchase process

Did implementation of JMP Statistical Discovery Software from SAS go as expected?

Yes

Would you buy JMP Statistical Discovery Software from SAS again?

Yes

I think JMP works best for beginners. It helps students get a really firm grasp on the algorithms and choose how to evaluate them. That being said, I think that any data scientist should move to R or Python as quickly as possible so they can take advantage of a wider range of options and flexibility.

JMP Statistical Discovery Software from SAS Feature Ratings

Pre-built visualization formats (heatmaps, scatter plots etc.)
8
Location Analytics / Geographic Visualization
Not Rated
Predictive Analytics
9
Customizable dashboards
Not Rated
Drill-down analysis
7
Formatting capabilities
Not Rated
Integration with R or other statistical packages
6
Report sharing and collaboration
7
Publish to Web
Not Rated
Publish to PDF
Not Rated