Overview
Service Information on DataScience.com AI and Data and Analytics (D&A) Services
Updated 13th October 2025
What is DataScience.com AI and Data and Analytics (D&A) Services?
DataScience.com AI and Data and Analytics (D&A) Services Pricing
Overall experience with DataScience.com AI and Data and Analytics (D&A) Services
Assc Data Scientist
<50M USD, MiscellaneousFAVORABLE
“Easy to use”
My experience is very good. It provides great platform to organize work, we can easily access data and resources . What is important to work in data science and machine learning is model development. They provide end-to-end model development workflows. The most important thing is we can built machine learning solutions faster which is very important for any workplace.
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CRITICAL
About Company
Company Description
Oracle acquired DataScience.com on May 16th, 2018, integrating a prominent data science platform into Oracle Cloud. The main aim of this acquisition is to enable customers to fully harness the power of machine learning. DataScience.com has an enterprise data science platform consolidating the tools, libraries, and languages craved by data scientists with the infrastructure and operational practices requisite for their organizations. The platform intends to augment the working habits of data scientists, bolstering their efficiency in collaboration, rapidity in creating better analyses, amplifying their results, and increasing their output production from a singular location.
Company Details
Company type
Private
Year Founded
2014
Head office location
United States
Number of employees
51 - 200
Website
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- Assc Data Scientist<50M USDMiscellaneousReview Source
Easy to use
My experience is very good. It provides great platform to organize work, we can easily access data and resources . What is important to work in data science and machine learning is model development. They provide end-to-end model development workflows. The most important thing is we can built machine learning solutions faster which is very important for any workplace. - Data Scientist1B-10B USDRetailReview Source
Machine Learning Models and Techniques helped a Lot In Retail Business Sustainability
1.Machine learning offers faster more efficient customer service. 2.Improves customer analytics. 3.Understands customer & caller intent. 4.enables continuous improvement through data and betters customer personalization. 5.Recommends the quantity, price, shelf placement, and marketing channel that would reach the right customer in a particular area. 6.Identifies the fraud. Machine learning fuels all sorts of automated tasks and spans across multiple industries, from data security firms hunting down malware to finance professionals looking out for favorable trades. They’re designed to work like virtual personal assistants, and they work quite well. - Software Engineer<50M USDIT ServicesReview Source
Machine Learning using Python
Overall experience was good. I'm using many algorithms for predict car price using machine learning with python and it's was very good experience. - Assistant Professor<50M USDEducationReview Source
Gives a good machine learning platform
Gives a good machine learning platform for generating report or application in machine learning.It is best for implementing and visualizing machine learning and statistical algorithms in one go.
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