2023-Sustainable Industrial Processing Summit
SIPS2023 Volume 2. Carter Intl. Symp / Laws & Their Applications

Editors:F. Kongoli, M. McNeil, M. Dibra, M. Nolan, E. Pana, D. Shanley, B. Jedlickova
Publisher:Flogen Star OUTREACH
Publication Year:2023
Pages:72 pages
ISBN:978-1-989820-74-2 (CD)
ISSN:2291-1227 (Metals and Materials Processing in a Clean Environment Series)
CD-SIPS2023_Volume1
CD shopping page

    SCIENCE CAN BE SIGNIFICANTLY ENHANCED BY DATA SCIENCE – THEY ARE MUTUALISTIC

    Samuel Berger1;
    1NFSD, Norco, United States;
    Type of Paper: Plenary
    Id Paper: 351
    Topic: 61

    Abstract:

    Data Science focuses on the mathematics and statistical relationships to help filter the data and make accurate analysis as raw data can prove deceptive not by design, but by the methods of collection, processing and interpretation.  Analyzing data is its own science for many inherent reasons such as understanding of how to normalize the data using Relational Algebra [1].  The importance of creating precise data structures when handling, processing and manipulating mass amounts of data cannot be understated and can only be achieved accurately using Relational Algebra for a host of reasons.  You must also master how to query the data using standard query language and how to analyze the data using advanced statistical methods such as regression testing, etc.

    In this lecture you will see a major universal world-wide problem [2] analyzed from a different prospective.  We will also look at other objective related data [3] [4] to see if the raw data may prove to be misleading prior to initializing our studies. This data you have all seen in raw form and now you will see how a data scientist brakes down and analyzes the underlying data to give new insights and even point to new studies and research.

    Keywords:

    Mathematics; Data Science; Data Analysis; Normalization; Statistical Analysis; Raw Data; Processed Data

    References:

    [1] IDEAS Data Science Conference in 2019 – “Data Architecture for the Extreme Data Scientist” (https://www.youtube.com/watch?v=AOnilawQWys)
    [2] Climate Change: Global Temperature (https://www.climate.gov/news-features/understanding-climate/climate-change-global-temperature)
    [3] U.S. Hurricane Strikes by Decade (https://www.nhc.noaa.gov/pastdec.shtml)
    [4] World of Change: Antarctic Sea Ice (https://earthobservatory.nasa.gov/world-of-change/sea-ice-antarctic)

    Cite this article as:

    Berger S. (2023). SCIENCE CAN BE SIGNIFICANTLY ENHANCED BY DATA SCIENCE – THEY ARE MUTUALISTIC. In F. Kongoli, M. McNeil, M. Dibra, M. Nolan, E. Pana, D. Shanley, B. Jedlickova (Eds.), Sustainable Industrial Processing Summit Volume 2 Carter Intl. Symp / Laws & Their Applications (pp. 53-54). Montreal, Canada: FLOGEN Star Outreach