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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. [4]
Data science is "a concept to unify statistics, data analysis, informatics, and their related methods" to "understand and analyze actual phenomena" with data. [5] It uses techniques and theories drawn from many fields within the context of mathematics , statistics, computer science , information science , and domain knowledge . [ 6 ]
Data+: focuses on data mining, manipulating data, visualizing & reporting data, statistical methods, and governance. Linux+: A single exam known as XK0-004 [12] that is renewable through the CE program, [13] the certification covers Linux operating systems, from their installation and use to the basics of applicable free software and open ...
The Chartered Alternative Investment Analyst (CAIA) designation is a financial certification for investment professionals conferred by the CAIA Association. The curriculum is designed to provide finance professionals with a broad base of knowledge in alternative investments. Candidates must complete two examinations in succession and pay an ...
Google Analytics' approach is to show high-level, dashboard-type data for the casual user, and more in-depth data further into the report set. Google Analytics analysis can identify poorly performing pages with techniques such as funnel visualization, where visitors came from ( referrers ), how long they stayed on the website and their ...
Business analyst word cloud indicating some aspects of the business analyst profession (Flickr) A business analyst (BA) is a person who processes, interprets and documents business processes, products, services and software through analysis of data.
Waikato Environment for Knowledge Analysis (Weka) is a collection of machine learning and data analysis free software licensed under the GNU General Public License. It was developed at the University of Waikato , New Zealand and is the companion software to the book "Data Mining: Practical Machine Learning Tools and Techniques".
The functions work on many types of data, including numerical, categorical, time series, textual, and image. [7] Mojo can run some Python programs, and supports programmability of AI hardware. It aims to combine the usability of Python with the performance of low-level programming languages like C++ or Rust. [8]
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