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Resolve Data Science LLC
New Providence, United States
B
1-10 Employees
-
Key takeaway
Resolve Data Science offers specialized services in custom software development and consulting for Research & Development organizations.
Highlighted product
Service
Services – Resolve Data Science
Data Science Prophet
Ahmedabad, India
D
11-50 Employees
2020
Key takeaway
Data Science, as described by Data Science Prophet, is the study of data that employs scientific methods to extract knowledge and insights.
Highlighted product
Service
Services - Data Science Prophet
DataScientifix
Rockville, United States
B
11-50 Employees
2015
Key takeaway
DataScientifix is a leading analytics consulting firm with a decade of experience in data science. They offer expert knowledge in major machine learning and data science platforms and provide training and support to help organizations effectively leverage data science innovations for business value.
Highlighted product
Core business
DataScientifix - Predictive Analytics for Smarter Organizations.
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Data Science Era
Lubbock, United States
B
1-10 Employees
-
Key takeaway
Data Science Era is an online educational platform dedicated to teaching statistics and data science, offering live training and courses in various tools such as R, Python, and Tableau. They provide comprehensive resources, including slides and recorded classes, to support learners at all levels.
Highlighted product
Product
Technology – Datascienceera
c/o data science
Hamburg, Germany
A
11-50 Employees
-
Key takeaway
The company is actively developing new concepts and formats and is eager to share information about upcoming data science events.
Highlighted product
Service
Service - c/o data science
Right Data Technologies
Dubai, United Arab Emirates
C
1-10 Employees
-
Key takeaway
The company highlights its Data Science Services, specifically emphasizing advanced analytics, which utilizes sophisticated tools to extract data, make predictions, and identify trends. This focus on advanced analytics is crucial for informing decisions and enhancing efficiency in their service offerings.
Highlighted product
Product
Data Science Services – Right DataTec
Data Science Scotland Limited
Ayr, United Kingdom
A
1-10 Employees
2019
Key takeaway
Data Science Scotland Limited is an IT consultancy that offers comprehensive Data Science services, including project design and delivery, innovative research, and coaching, aimed at enhancing business value through ethical practices. Their commitment to excellence and efficiency in Data Science and Big Data Analytics projects positions them as a key player in the field.
Highlighted product
Core business
Data Science Scotland Limited
Big Data Science Research
Bengaluru, India
D
1-10 Employees
-
Key takeaway
The company, Big Data Science Research (BDSR), focuses on developing data science products that provide analytical solutions to various business challenges, specializing in areas such as data mining, deep learning, and predictive modeling. With a team of experienced data scientists, they offer end-to-end development of innovative analytics solutions tailored for big data problems.
Highlighted product
Product
Services – Big Data Science Research
Softnets Solutions
Sunnyvale, United States
B
11-50 Employees
1994
Key takeaway
SoftNet Solutions offers specialized Data Science Services, leveraging their extensive experience in IT and partnerships with major providers like Dell EMC and VMware. Their expertise in data management and operational intelligence supports diverse industries, making them a valuable resource for data-driven decision-making.
Highlighted product
Product
Data Science Services – Softnets Solutions
DS1 Solutions
United States
B
1-10 Employees
-
Key takeaway
The company, DS1, specializes in data science and predictive modeling, offering unique capabilities to analyze deep data from CRM platforms. Their team of experts develops custom algorithms to generate predictive insights that can significantly impact business strategies and outcomes.
Highlighted product
Core business
DataScience1 - Data Science, Business Intelligence, B 2 B Sales
Insight. Action. Success.
Technologies which have been searched by others and may be interesting for you:
Data science is a multidisciplinary field that combines statistics, computer science, and domain expertise to extract insights and knowledge from structured and unstructured data. It involves various processes such as data collection, cleaning, analysis, and visualization to uncover patterns and inform decision-making. Professionals in this field utilize algorithms and machine learning techniques to develop predictive models and automate data-driven tasks. The ultimate goal of data science is to transform raw data into actionable insights, enabling organizations to enhance their operations and strategy.
Data Science significantly enhances decision-making by transforming raw data into actionable insights. Through advanced analytics, organizations can identify patterns, trends, and correlations that are not immediately visible. This ability to analyze large datasets enables businesses to make informed choices based on evidence rather than intuition. Moreover, predictive modeling, a key aspect of Data Science, allows companies to forecast future outcomes and behaviors. By leveraging machine learning algorithms, businesses can simulate various scenarios and assess potential risks and opportunities. This proactive approach leads to better strategic planning and ultimately drives improved operational efficiency.
1. Programming Languages
Languages such as Python and R are fundamental in data science. They offer extensive libraries and frameworks for data manipulation, statistical analysis, and machine learning, making them indispensable tools for data scientists.
2. Data Visualization Tools
Tools like Tableau and Power BI allow data scientists to create compelling visual representations of data. These visualizations help in interpreting complex datasets and communicating insights effectively to stakeholders.
3. Machine Learning Frameworks
Frameworks such as TensorFlow and scikit-learn are crucial for developing predictive models. They provide pre-built algorithms and functionalities that simplify the process of training and deploying machine learning models.
4. Big Data Technologies
Technologies like Apache Hadoop and Spark are essential for processing and analyzing large datasets. They enable data scientists to work with big data efficiently, allowing for scalable data processing and real-time analytics.
5. Database Management Systems
Relational databases like MySQL and NoSQL databases like MongoDB are vital for storing and retrieving data. Data scientists use these systems to manage structured and unstructured data, ensuring data accessibility and integrity.
Businesses gain significant advantages from utilizing data science in various ways.
1. Enhanced Decision-Making
Data science enables organizations to analyze large volumes of data, uncovering insights that inform strategic decisions. By leveraging predictive analytics, companies can anticipate market trends and customer behavior, leading to more informed choices.
2. Improved Efficiency
Automation and optimization powered by data science streamline operations. Businesses can identify inefficiencies in processes, allowing them to allocate resources more effectively and reduce costs. This ultimately leads to increased productivity and better overall performance.
A career in data science requires a blend of technical and analytical skills. Proficiency in programming languages such as Python and R is crucial for data manipulation and analysis. Additionally, a solid understanding of statistics and probability is essential to interpret data accurately and make informed decisions. Knowledge of machine learning algorithms enables data scientists to build predictive models, while familiarity with data visualization tools helps communicate insights effectively. Moreover, skills in database management and big data technologies are important, as they allow for efficient handling of large datasets. Strong problem-solving capabilities and critical thinking are also vital, as data scientists often need to navigate complex data challenges and derive actionable insights from varied data sources. The combination of these skills positions professionals well for success in the evolving field of data science.
Some interesting numbers and facts about your company results for Data Science
| Country with most fitting companies | United States |
| Amount of fitting manufacturers | 7232 |
| Amount of suitable service providers | 7502 |
| Average amount of employees | 1-10 |
| Oldest suiting company | 1994 |
| Youngest suiting company | 2020 |
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Some interesting questions that has been asked about the results you have just received for Data Science
What are related technologies to Data Science?
Based on our calculations related technologies to Data Science are Big Data, E-Health, Retail Tech, Artificial Intelligence & Machine Learning, E-Commerce
Who are Start-Ups in the field of Data Science?
Start-Ups who are working in Data Science are Data Science Prophet
Which industries are mostly working on Data Science?
The most represented industries which are working in Data Science are IT, Software and Services, Other, Consulting, Research, Education
How does ensun find these Data Science Companies?
ensun uses an advanced search and ranking system capable of sifting through millions of companies and hundreds of millions of products and services to identify suitable matches. This is achieved by leveraging cutting-edge technologies, including Artificial Intelligence.
