Audience

Companies that need a data mining and data analysis tool

About Coheris Spad

Coheris Spad by ChapsVision is a self-service data analysis studio for Data Scientists from all sectors and industries. Coheris Spad by ChapsVision is taught in many major French and foreign schools and universities, giving it a great reputation in the Data Scientists community. Coheris Spad by ChapsVision provides you with a great methodological wealth covering a very broad spectrum in terms of data analysis. In a user-friendly and intuitive environment, you have all the power you need to discover, prepare and analyze your data. Coheris Spad by ChapsVision allows you to connect to many sources to prepare your data. You have a vast library of data processing functions at your disposal: filtering, stacking, aggregation, transposition, join, management of missing data, search for atypical distributions, statistical or supervised recoding, formatting.

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Integrations

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Ratings/Reviews

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Company Information

ChapsVision
Founded: 2019
France
www.chapsvision.com/softwares-data/data-mining-machine-learning/

Videos and Screen Captures

Coheris Spad Screenshot 1
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Product Details

Platforms Supported
Cloud
Windows
Training
Live Online
Support
Online

Coheris Spad Frequently Asked Questions

Q: What kinds of users and organization types does Coheris Spad work with?
Q: What languages does Coheris Spad support in their product?
Q: What kind of support options does Coheris Spad offer?
Q: What type of training does Coheris Spad provide?

Coheris Spad Product Features

Data Analysis

Data Visualization
Text Analytics
Regression Analysis
Data Discovery
Sentiment Analysis
High Volume Processing
Statistical Modeling
Predictive Analytics

Data Mining

Data Extraction
Data Visualization
Linked Data Management
Machine Learning
Predictive Modeling
Statistical Analysis
Text Mining
Fraud Detection
Semantic Search

Data Preparation

Data Access
Data Blending
Data Mashup
Data Transformation
Data Modeling
Visual User Interface
Collaboration Tools
Data Governance
Machine Learning
Data Cleansing