Data scientist - as a beginner
December 18, 2020

Data scientist - as a beginner

NARESH SAMPARA | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
Review Source

Overall Satisfaction with IBM Watson Studio (formerly IBM Data Science Experience)

I am using IBM Watson studio for my personal interest. Since it is not involved a lot of programming, I am creating my own website with a chatbot whereas the chatbot will be answering about my research and carrier. I am using the IBM Watson Studio for analyzing the visual data.
  • No programming skills.
  • Well structured.
  • Proper instructions.
  • Takes time to integrate Watson.
  • High switching costs.
  • IBM Watson studio desktop.
  • Ease of deployment.
  • The cost of ownership is high for a personal use.
  • It's very convenient for quick hit applications.
IBM offers a deep neural network training workflow, with a flow editor interface similar to the one used in Azure ML Studio. However, the custom build modeling in IBM has notebooks such as Jupiter to program models manually using popular frameworks like TensorFlow, sci-kit-learn, PyTorch, XGboost, PMML, and IBM SPSS.
The IBM Watson Studio is suited for everyone in the organization including a data scientist (who can do the in-depth coding), to a business analyst. Especially when the organizations have to analyze the unstructured data. It has the flexibility in the use of different data science development environments including R, Python and SPSS.

IBM Watson Studio Feature Ratings

Connect to Multiple Data Sources
Extend Existing Data Sources
Automatic Data Format Detection
Interactive Data Analysis
Interactive Data Cleaning and Enrichment
Data Transformations
Data Encryption
Built-in Processors
Multiple Model Development Languages and Tools
Automated Machine Learning
Single platform for multiple model development
Flexible Model Publishing Options
Security, Governance, and Cost Controls