About
Data Science Foundation Funding
The activities of the foundation are funded by voluntary membership fees, donations, sponsorship and consultancy services. The services provided to individual members and universities are free of charge and will always remain free of charge. There is a recommended membership fee for supplier and corporate membership, but this is paid on a voluntary basis. The foundation is developing a data science consultancy service to support our remit in relation to informing, educating and implementing advanced analytics. The proceeds of the consultancy service will be used to fund the activities of the foundation and to develop new membership services.
Becoming a Member
To register your interest in becoming a member of the Data Science Foundation visit the Join Us page. Select a membership type on the form from the dropdown options and add your contact details. You will be sent an email containing a link to activate your account. Membership for Individual, Associate Members and University Administrators is free of charge. The costs associated with Corporate and Supplier membership are shown on the Membership Fees page.
Which type of membership to choose?
INDIVIDUAL: Data scientists, computer programmers, mathematicians, statisticians, related disciplines, students studying for a relevant qualification
ASSOCIATE: People working with data scientists and data science agencies, those interested in learning more about data science
CORPORATE: Companies using data science to generate insight
SUPPLIER: Companies providing data science and related services
UNIVERSITY ADMINISTRATORS: Data Science and related course leaders or university representatives
The website
We will ensure that the website:
- Contains extensive and accurate information about big data and data science education
- Displays accurate records of corporate, supplier, individual and associate members
- Is the ideal place to find a data science provider and to start a data science project
- Creates new employment for members via the CV board
- Publishes the most sought after job opportunities from leading firms
- Becomes a platform that allows individuals to gain recognition for their expertise and become leading figures within the industry
With these aims in mind, the foundation’s website has been built as a communications platform, a publishing tool and as a means for members to procure expertise or obtain employment. The site is a source of information for the media and for those interested in learning about data science.
Aims
The primary aims of the Data Science Foundation are to:
- Create a community of qualified and highly skilled data science professionals
- Provide the data science community with a forum to share ideas and support professional development
- Develop approved professional standards that differentiate members from others working in the data science and advanced analytics sector
The Data Science Foundation is working to:
- Raise the profile of data science in the UK, to educate business people about the benefits of knowledge-based decision making and to encourage firms to make optimal use of their data.
- Launch an education programme which includes seminars covering topics such as; ‘Helping business people understand big data’ and ‘Helping data scientists communicate with business people’. An ‘Introduction to data science’ talk will be offered to schools.
- Improve the way organizations use their data; by helping organizations form partnerships with universities and consultancies.
What is Data Science?
Data science is the structured approach to the extraction of intelligence from data. Data science combines techniques from disciplines such as statistics, computer science, operations research and many others to derive insight from data. Increases in computing power and the development of techniques to combine and analyse large and complex datasets have vastly improved the quality of insight that can be drawn from data. In a business context, this has enabled companies to develop a richer understanding of their customers’ behaviour, improve their production operations and build more accurate models of demand and capacity. Data science continues to improve organisations’ ability to plan for the future by providing a more solid foundation upon which to base their decisions.
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