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Smart Data Collective
MARCH 19, 2023
Paul Glen of IBM’s Business Analytics wrote an article titled “ The Role of Predictive Analytics in the Dropshipping Industry.” ” Glen shares some very important insights on the benefits of utilizing predictive analytics to optimize a dropshipping commpany.
CIO
JUNE 7, 2022
What is data analytics? Data analytics is a discipline focused on extracting insights from data. It comprises the processes, tools and techniques of data analysis and management, including the collection, organization, and storage of data. Data analytics methods and techniques.
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CIO
JANUARY 19, 2024
Cost: $330 Location: Online Duration: 90 minutes Expiration: Valid for two years Data Science Council of America (DASCA) Senior Data Scientist (SDS) The Data Science Council of America (DASCA) Senior Data Scientist (SDS) certification program is designed for professionals with five or more years of experience in research and analytics.
Smart Data Collective
NOVEMBER 18, 2020
We decided to cover some of the most important differences between Data Mining vs Data Science in order to finally understand which is which. What is Data Science? Data Science is an activity that focuses on data analysis and finding the best solutions based on it. Where to Use Data Science?
Smart Data Collective
JULY 1, 2019
Big data is rewriting the playbook for the criminal justice system. Oxford Research Encyclopedias has talked about some of the ways that criminal justice professionals are utilizing big data. Two significant applications really stand out the most: Big data is used extensively in criminal justice research.
Datapine Blog
OCTOBER 21, 2020
One of the key data sets is 10 years’ worth of hospital admissions records, which data scientists crunched using “time series analysis” techniques. These analyses allowed the researchers to see relevant patterns in admission rates. Then, for example, researchers could access patient biopsy reports from other institutions.
Elegant BI
FEBRUARY 16, 2021
When organizations undertake the process of researching and selecting a business intelligence tool, they quickly discover that the market is crowded with solutions. This doesn’t mean your business users must be skilled at data analysis or algorithms or programming.
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