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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 is a service that provides expertise in artificial intelligence and data analytics to organizations seeking to leverage data for strategic decision making. The service assists clients in implementing analytic frameworks, deploying machine learning models, and building data-driven solutions tailored to specific business objectives. It offers integration with existing technology stacks to facilitate data processing, analysis, and visualization across large datasets. The service supports business problem solving by translating data into actionable insights, thereby aiding in process optimization, predictive modeling, and operational efficiency. Organizations utilize the service to enhance data governance, automate data workflows, and improve analytical capabilities that contribute to informed business strategies.

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, Miscellaneous
FAVORABLE

“Easy to use”

5.0
Dec 26, 2019
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.
There are no reviews in this category.
CRITICAL

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Logo of DataScience.com AI and Data and Analytics (D&A) Services

DataScience.com AI and Data and Analytics (D&A) Services

byDataScience.com
in AI and Data and Analytics (D&A) Service Providers
4.3

About Company

Company Description

Updated 7th December 2023

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

Updated 26th February 2025
Company type
Private
Year Founded
2014
Head office location
United States
Number of employees
51 - 200
Website
http://www.datascience.com

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DataScience.com AI and Data and Analytics (D&A) Services Likes & Dislikes

Like

Product and services both are important. I prefer product quality first .

Like

Insights provides capability to run custom queries to fetch required results which is really helping while fetching business reports

Like

This most like thing is is is very easy to use and its very helpful to predict future prediction

Dislike

I sometimes dislike services when there is delay. Model training and accuracy is must in any data science projects . Timely modification is very important .

Dislike

Nothing as such of dislike.

Dislike

System requirement is to high

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DataScience.com AI and Data and Analytics (D&A) Services Reviews and Ratings

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  • Assc Data Scientist
    <50M USD
    Miscellaneous
    Review Source

    Easy to use

    5.0
    Dec 26, 2019
    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 Scientist
    1B-10B USD
    Retail
    Review Source

    Machine Learning Models and Techniques helped a Lot In Retail Business Sustainability

    4.0
    May 6, 2019
    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 USD
    IT Services
    Review Source

    Machine Learning using Python

    4.0
    Apr 16, 2019
    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 USD
    Education
    Review Source

    Gives a good machine learning platform

    4.0
    Apr 2, 2019
    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.
Showing Result 1-4 of 4

4.3

(4 Ratings)

Rating Distribution

5 Star
25%
4 Star
75%
3 Star
0%
2 Star
0%
1 Star
0%
Why ratings and reviews count differ?

Customer Experience

Evaluation & Contracting

4.5

Planning & Transition

4.3

Delivery & Execution

4.8

Service Capabilities

4.5

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