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2. Coursera - Wikipedia

   en.wikipedia.org/wiki/Coursera

   Coursera Inc. (/ k ər ˈ s ɛ r ə /) is an American global massive open online course provider. It was founded in 2012 [2] [3] by Stanford University computer science professors Andrew Ng and Daphne Koller. [4] Coursera works with universities and other organizations to offer online courses, certifications, and degrees in a variety of subjects.

3. Bioinformatics - Wikipedia

   en.wikipedia.org/wiki/Bioinformatics

   Bioinformatics (/ ˌ b aɪ. oʊ ˌ ɪ n f ər ˈ m æ t ɪ k s / ⓘ) is an interdisciplinary field of science that develops methods and software tools for understanding biological data, especially when the data sets are large and complex.

4. Data analysis - Wikipedia

   en.wikipedia.org/wiki/Data_analysis

   Data collection or data gathering is the process of gathering and measuring information on targeted variables in an established system, which then enables one to answer relevant questions and evaluate outcomes. The data may also be collected from sensors in the environment, including traffic cameras, satellites, recording devices, etc.

5. Data profiling - Wikipedia

   en.wikipedia.org/wiki/Data_profiling

   Data profiling is the process of examining the data available from an existing information source (e.g. a database or a file) and collecting statistics or informative summaries about that data. [1] The purpose of these statistics may be to: Find out whether existing data can be easily used for other purposes

6. Computational social science - Wikipedia

   en.wikipedia.org/wiki/Computational_social_science

   Computational social science articles are published across several journals, such as New Media & Society, Social Science Computer Review, PNAS, Political Communication, EPJ Data Science, PLOS One, Sociological Methods & Research and Science. [22] However, there are some venues focused only in computational social sciences:

7. Data analysis for fraud detection - Wikipedia

   en.wikipedia.org/wiki/Data_analysis_for_fraud...

   A new and novel technique called System properties approach has also been employed where ever rank data is available. [6] Statistical analysis of research data is the most comprehensive method for determining if data fraud exists. Data fraud as defined by the Office of Research Integrity (ORI) includes fabrication, falsification and plagiarism.