We've got 311 shorthands for data analysis »
Acronyms that contain the term data analysis
Page #9What does data analysis mean? This page is about the various possible meanings of the acronym, abbreviation, shorthand or slang term: data analysis.
Term | Definition | Rating |
---|---|---|
DADM | Data Analysis for Decision Makers | |
MDAS | Mining Data Analysis System | |
IRDA | Institutional Research and Data Analysis | |
DASA | Data Acquisition Storage and Analysis | |
DABM | Data Analysis and Business Modeling | |
RADAR | Real Accountability Data Analysis for Results | |
PHDA | Population Health Data Analysis | |
TDA | Transition Data Analysis | |
AMANDA | Advanced Multidisciplinary Analysis of New Data on Ageing | |
GDEA | Global Data Envelopment Analysis | |
CDA | Categorical Data Analysis | |
AHPD | Analysis of HLA Population Data | |
IDCA | Integrated Data Collection Analysis | |
MSDA | Modeling Simulation and Data Analysis | |
MBDA | Multivariate Big Data Analysis | |
STDA | STOICH Training and Data Analysis | |
PPDA | Privacy Preserving Data Analysis | |
DAP | Data Analysis andPlan | |
DEAP | Data Exploration and Analysis Portal | |
CDMA | Clinical Data Management and Analysis | |
CDMA | Clinical Data Management and Analysis | |
LCDA | Low Code Data Analysis | |
FODA | Formative Observation Data Analysis | |
DACS | Data and Analysis Center for Software | |
DARWIN | Data Analysis And Retrieval With Indexed Nucleotide |
What does data analysis mean?
- Data analysis
- Data analysis is a 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. In today's business world, data analysis plays a role in making decisions more scientific and helping businesses operate more effectively.Data mining is a particular data analysis technique that focuses on statistical modeling and knowledge discovery for predictive rather than purely descriptive purposes, while business intelligence covers data analysis that relies heavily on aggregation, focusing mainly on business information. In statistical applications, data analysis can be divided into descriptive statistics, exploratory data analysis (EDA), and confirmatory data analysis (CDA). EDA focuses on discovering new features in the data while CDA focuses on confirming or falsifying existing hypotheses. Predictive analytics focuses on the application of statistical models for predictive forecasting or classification, while text analytics applies statistical, linguistic, and structural techniques to extract and classify information from textual sources, a species of unstructured data. All of the above are varieties of data analysis.Data integration is a precursor to data analysis, and data analysis is closely linked to data visualization and data dissemination.
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"data analysis." Abbreviations.com. STANDS4 LLC, 2024. Web. 29 Apr. 2024. <https://www.abbreviations.com/data%20analysis>.
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