Statisticians collect, tabulate, and, most importantly, analyse quantitative information coming from a varied array of fields. They interpret and analyse statistical studies on fields such as health, demographics, finance, business, etc. and advise based on patterns and drawn analysis.
No competences in this bucket.
No competences in this bucket.
No competences in this bucket.
No competences in this bucket.
The process of revealing data issues using quality indicators, measures and metrics in order to plan data cleansing and data enrichment strategies according to data quality criteria.
The approaches for employing statistical analysis to dataset within the data science field. It seeks to elaborate reality predictions through statistical models and explicit assumptions.
The subfield of ethics that assess whether data practices are considerable ethical. It assesses processes such as collecting, analysing and disseminating structured and unstructured data that might negatively impact the society.
The field of study that deals with big amount of data using AI techniques such as machine learning algorithms to predict patterns and obtain useful information to make business decisions
The process of establishing a mathematical representation problem, such as equations, of a real-word to provide insights, discover new features about the problematic scenario, better understand the original problem or to make predictions about it.
Mathematics is the study of topics such as quantity, structure, space, and change. It involves the identification of patterns and formulating new conjectures based on them. Mathematicians strive to prove the truth or falsity of these conjectures. There are many fields of mathematics, some of which are widely used for practical applications.
The technique of employing statistical and mathematical modelling and measurement to represent a specific reality through numbers.
The set of methods and techniques of research that are used to conduct a study. It includes practical steps in research such as purpose statement, data collection, methodology, and data analysis.
The medium of informing the scientific community, including academic researchers, about the results of scientific research. It constitutes a permanent and cumulative collection of all the findings of scientific research in various fields and at any point in time.
The theoretical methodology used in scientific research involving doing background research, constructing an hypothesis, testing it, analysing data and concluding the results.
Specific software system (SAS) used for advanced analytics, business intelligence, data management, and predictive analytics.
The study of statistical theory, methods and practices such as collection, organisation, analysis, interpretation and presentation of data. It deals with all aspects of data including the planning of data collection in terms of the design of surveys and experiments in order to forecast and plan work-related activities.
No competences in this bucket.
Deal with the private legal rights that protect the products of the intellect from unlawful infringement.
Operate Open Source software, knowing the main Open Source models, licensing schemes, and the coding practices commonly adopted in the production of Open Source software.
Identify key relevant funding sources and prepare research grant application in order to obtain funds and grants. Write research proposals.
Apply fundamental ethical principles and legislation to scientific research, including issues of research integrity. Perform, review, or report research avoiding misconducts such as fabrication, falsification, and plagiarism.
Apply scientific methods and techniques to investigate phenomena, by acquiring new knowledge or correcting and integrating previous knowledge.
Use models (descriptive or inferential statistics) and techniques (data mining or machine learning) for statistical analysis and ICT tools to analyse data, uncover correlations and forecast trends.
Communicate about scientific findings to a non-scientific audience, including the general public. Tailor the communication of scientific concepts, debates, findings to the audience, using a variety of methods for different target groups, including visual presentations.
Execute a systematic empirical investigation of observable phenomena via statistical, mathematical or computational techniques.
Work and use research findings and data across disciplinary and/or functional boundaries.
Demonstrate deep knowledge and complex understanding of a specific research area, including responsible research, research ethics and scientific integrity principles, privacy and GDPR requirements, related to research activities within a specific discipline.
Develop alliances, contacts or partnerships, and exchange information with others. Foster integrated and open collaborations where different stakeholders co-create shared value research and innovations. Develop your personal profile or brand and make yourself visible and available in face-to-face and online networking environments.
Publicly disclose scientific results by any appropriate means, including conferences, workshops, colloquia and scientific publications.
Draft and edit scientific, academic or technical texts on different subjects.
Review proposals, progress, impact and outcomes of peer researchers, including through open peer review.
Apply mathematical methods and make use of calculation technologies in order to perform analyses and devise solutions to specific problems.
Extract exportable data from multiple sources.
Analyse statistical data in order to find patterns and trends in the data or between variables.
Influence evidence-informed policy and decision making by providing scientific input to and maintaining professional relationships with policymakers and other stakeholders.
Take into account in the whole research process the biological characteristics and the evolving social and cultural features of women and men (gender).
Show consideration to others as well as collegiality. Listen, give and receive feedback and respond perceptively to others, also involving staff supervision and leadership in a professional setting.
Produce, describe, store, preserve and (re) use scientific data based on FAIR (Findable, Accessible, Interoperable, and Reusable) principles, making data as open as possible, and as closed as necessary.
Be familiar with Open Publication strategies, with the use of information technology to support research, and with the development and management of CRIS (current research information systems) and institutional repositories. Provide licensing and copyright advice, use bibliometric indicators, and measure and report research impact.
Take responsibility for lifelong learning and continuous professional development. Engage in learning to support and update professional competence. Identify priority areas for professional development based on reflection about own practice and through contact with peers and stakeholders. Pursue a cycle of self-improvement and develop credible career plans.
Produce and analyse scientific data originating from qualitative and quantitative research methods. Store and maintain the data in research databases. Support the re-use of scientific data and be familiar with open data management principles.
Mentor individuals by providing emotional support, sharing experiences and giving advice to the individual to help them in their personal development, as well as adapting the support to the specific needs of the individual and heeding their requests and expectations.
Collect data and statistics to test and evaluate in order to generate assertions and pattern predictions, with the aim of discovering useful information in a decision-making process.
Manage and plan various resources, such as human resources, budget, deadline, results, and quality necessary for a specific project, and monitor the project's progress in order to achieve a specific goal within a set time and budget.
Gain, correct or improve knowledge about phenomena by using scientific methods and techniques, based on empirical or measurable observations.
Enter information into a data storage and data retrieval system via processes such as scanning, manual keying or electronic data transfer in order to process large amounts of data.
Apply techniques, models, methods and strategies which contribute to the promotion of steps towards innovation through collaboration with people and organizations outside the organisation.
Engage citizens in scientific and research activities and promote their contribution in terms of knowledge, time or resources invested.
Deploy broad awareness of processes of knowledge valorisation aimed to maximise the two–way flow of technology, intellectual property, expertise and capability between the research base and industry or the public sector.
Conduct academic research, in universities and research institutions, or on a personal account, publish it in books or academic journals with the aim of contributing to a field of expertise and achieving personal academic accreditation.
Master foreign languages to be able to communicate in one or more foreign languages.
Critically read, interpret, and summarise new and complex information from diverse sources.
Demonstrate the ability to use concepts in order to make and understand generalisations, and relate or connect them to other items, events, or experiences.
Present the hypothesis, findings, and conclusions of your scientific research in your field of expertise in a professional publication.
No competences in this bucket.
The use of qualitative and quantitative methods to analyse patterns in healthcare data to the aim of improving healthcare administration, quality in patient care and diseases diagnosis.
The mechanisms and regulations which allow for selective access control and guarantee that only authorised parties (people, processes, systems and devices) have access to data, the way to comply with confidential information and the risks of non-compliance.
The subdiscipline of mathematical logic that studies the properties of well-determined sets of objects, relevant to mathematics.
The self-contained step-by-step sets of operations that carry out calculations, data processing and automated reasoning, usually to solve problems.
The science that statistically analyses human characteristics such as retina, voice or DNA for identification purposes.
A programme run on a computer that represents dynamic responses of a system to explore a mathematical model behaviour, using a model of a real system, composed of mathematical equations.
The scientific field of study that deals with studying the size, structure, and distribution of the human population, and its geographical and temporal changes.
The processes, techniques, and purposes comprised in the first step for developing marketing strategies such as the collection of information about customers and the definition of segments and targets.
The set of processes for employing data to improve the effectiveness of marketing activities. It involves analysing metrics such as the Return on Investment (ROI) for identify opportunities of improvement.
The research technique where a common issue is investigated using approaches from different disciplines with the aim of finding a comprehensive solution to it.
The inquiry of the opinion of the public, or at least of a representative sample, about a determined subject.
The research method that is mainly explored in sociology and communication science and focuses on the analysis of the relations between individuals and among organisations and states.
No competences in this bucket.
Create models to predict the probability of an outcome.
Formulate scientific theories based on empirical observations, gathered data and theories of other scientists.
Outline the research methodologies and schedule in order to ensure that the research can be thoroughly and efficiently executed and that the objectives can be met in a timely manner.
Consult, advise, and propose solutions with regards to financial management such as acquiring new assets, incurring in investments, and tax efficiency methods.
Advise officials in a legislature on the propositioning of new bills and the consideration of items of legislation.
Collect and evaluate numerical data in large quantities, especially for the purpose of identifying patterns between the data.
Be familiar with blended learning tools by combining traditional face-to-face and online learning, using digital tools, online technologies, and e-learning methods.
Assist engineers or scientists with conducting experiments, performing analysis, developing new products or processes, constructing theory, and quality control.
Undertake a systematic statistical examination of data representing past observed behaviour of the system to be forecast, including observations of useful predictors outside the system.
Conduct the procedures of a public survey from the initial formulation and compilation of the questions, identifying the target audience, managing the survey method and operations, managing the processing of acquired data, and analysing the results.
Create visual representations of data such as charts or diagrams for easier understanding.
Study the objectives of the research and imprint those aims into the design and development of questionnaires.
Create financial and statistical reports based on collected data which are to be presented to managing bodies of an organisation.
Participate in the various development stages of computer programs for econometric and statistical analysis, such as research, new product development, prototyping, and maintenance.
Apply database design schemes and models, define data dependencies, use query languages and database management systems (DBMS) to develop and manage databases.
Gather, process and present quantitative data. Use the appropriate programs and methods for validating, organising and interpreting data.
Prepare content to be taught in class in accordance with curriculum objectives by drafting exercises, researching up-to-date examples etc.
Display results, statistics and conclusions to an audience in a transparent and straightforward way.
Ensure that the necessary materials for teaching a class, such as visual aids, are prepared, up-to-date, and present in the instruction space.
Instruct students in the theory and practice of academic or vocational subjects, transferring the content of own and others' research activities.
Use portable electronic device to perform both basic and complex operations of arithmetic.
Use software tools to create and edit tabular data to carry out mathematical calculations, organise data and information, create diagrams based on data and to retrieve them.
Synthetise and write proposals aiming to solve research problems. Draft the proposal baseline and objectives, the estimated budget, risks and impact. Document the advances and new developments on the relevant subject and field of study.