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2. Data analysis - Wikipedia

   en.wikipedia.org/wiki/Data_analysis

   Data analysis is the process of ... performing the data analysis may consider these messages during the course of the process. ... free software for data analysis ...

3. Data science - Wikipedia

   en.wikipedia.org/wiki/Data_science

   In summary, data analysis and data science are distinct yet interconnected disciplines within the broader field of data management and analysis. Data analysis focuses on extracting insights and drawing conclusions from structured data, while data science involves a more comprehensive approach that combines statistical analysis, computational ...

4. Professional certification in financial services - Wikipedia

   en.wikipedia.org/wiki/Professional_certification...

   The International Certificate in Corporate Finance (ICCF) [26] is a professional designation for employees in corporate finance, covering financial analysis, valuation and decision making. The program comprises three 6-week online courses, three major cases studies, and a 2-hour final exam.

5. Weka (software) - Wikipedia

   en.wikipedia.org/wiki/Weka_(software)

   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".

6. edX - Wikipedia

   en.wikipedia.org/wiki/EdX

   [26] edX offers a variety of ways to take courses, including verified courses where students have the option to audit the course (no cost) or to work toward an edX Verified Certificate (fees vary by course). edX also offers XSeries Certificates for completion of a bundled set of two to seven verified courses in a single subject (cost varies ...

7. Analytics - Wikipedia

   en.wikipedia.org/wiki/Analytics

   Data analysis focuses on the process of examining past data through business understanding, data understanding, data preparation, modeling and evaluation, and deployment. [8] It is a subset of data analytics, which takes multiple data analysis processes to focus on why an event happened and what may happen in the future based on the previous data.