Bureau of Labor StatisticsThe Bureau of Labor Statistics (BLS) is a unit of the United States Department of Labor. It is the principal fact-finding agency for the U.S. government in the broad field of labor economics and statistics and serves as a principal agency of the U.S. federal statistical system.
Applied mathematicsApplied mathematics is the application of mathematical methods by different fields such as physics, engineering, medicine, biology, finance, business, computer science, social science, and industry. Thus, applied mathematics is a combination of mathematical science and specialized knowledge. The term "applied mathematics" also describes the professional specialty in which mathematicians work on practical problems by formulating and studying mathematical models.
ActuaryAn actuary is a professional with advanced mathematical skills who deals with the measurement and management of risk and uncertainty. These risks can affect both sides of the balance sheet and require asset management, liability management, and valuation skills. Actuaries provide assessments of financial security systems, with a focus on their complexity, their mathematics, and their mechanisms. The name of the corresponding academic discipline is actuarial science.
StatisticsStudy of collection and analysis of dataThe normal distribution, a very common probability density, is used extensively in inferential statistics.Scatter plots and line charts are used in descriptive statistics to show the observed relationships between different variables, here using the Iris flower data set.Statistics (from German: Statistik, orig.
Public sectorThe public sector, also called the state sector, is the part of the economy composed of both public services and public enterprises. Public sectors include the public goods and governmental services such as the military, law enforcement, public infrastructure, public transit, public education, along with public health care and those working for the government itself, such as elected officials.
Predictive analyticsPredictive analytics encompasses a variety of statistical techniques from data mining, predictive modeling, and machine learning that analyze current and historical facts to make predictions about future or otherwise unknown events. In business, predictive models exploit patterns found in historical and transactional data to identify risks and opportunities.
EconomistProfessional in the discipline of economics Part of a series onEconomics OutlineIndexGlossaryEconomists Principles of Economics Tools and methodologyEconomic theory Mathematical modeling Game theory Rational choice Cognitive science (Behavioral) Economic equilibrium Empirical methods Experimental Econometrics Time series Spatial Causal inference Quasi-experiments Prescriptive and policy Welfare analysis Social choice theory Rational choice theory Cost–benefit analysis Branches and subfields Applied Econometrics Econophysics International Heterodox Micro Macro Mainstream Mathematical Mech.Private sectorThe private sector is the part of the economy which is owned by private groups, usually as a means of establishment for profit or non profit, rather than being owned by the government.
TheoryA theory is, in general, a set of propositions or ideas about something, developed in a variety of ways through any sort of reasoning. This includes informal folk psychological theories of why someone behaves the way they do, scientific theories that attempt to explain some phenomenon, philosophical theories (for example of politics or the nature of reality), and a range of other uses.Methodological advisorA methodological advisor or statistical consultant provides methodological and statistical advice and guidance to clients or colleagues interested in making decisions regarding the design of studies, the collection and analysis of data, and the presentation and dissemination of research findings. Trained in both methods and statistics, and communication skills, advisors may work in academia, industry, or the public sector.
Data scienceData science is an interdisciplinary academic field that uses statistics, scientific computing, scientific methods, processing, scientific visualization, algorithms, coding (like Python, SQL, and R), and systems to extract or extrapolate knowledge from potentially noisy, structured, or unstructured data. A data scientist is a professional who creates programming code and combines it with statistical knowledge to summarize data.Data analysisData analysis is the process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making. Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names, and is used in different business, science, and social science domains.*As an Amazon Associate I earn from qualifying purchases.