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2. IBM SkillsBuild - Wikipedia

   en.wikipedia.org/wiki/IBM_SkillsBuild

   IBM SkillsBuild offers 1,000 courses in 20 languages on artificial intelligence, cybersecurity, data analysis, cloud computing, sustainability, and many other technical disciplines — as well as in workplace skills such as Design Thinking. Participants can earn IBM-branded digital credentials that are recognized by the market.

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. WorldQuant University - Wikipedia

   en.wikipedia.org/wiki/WorldQuant_University

   WorldQuant University currently offers an entirely-free, two-year Master of Science in Financial Engineering (MScFE) degree program and a free, self-paced Applied Data Science Lab. Successful completion of the former results in the student earning an accredited Master's degree; upon completion of the latter, students attain a shareable Credly ...

5. This deep learning and data analysis course is on sale for ...

   www.aol.com/deep-learning-data-analysis-course...

   TL;DR: The Deep Learning and Data Analysis Certification Bundle is on sale for £29.21 as of March 27, saving you 97% on list price. The world isn't getting any bigger, but what we understand ...

6. Data analysis - Wikipedia

   en.wikipedia.org/wiki/Data_analysis

   The data is necessary as inputs to the analysis, which is specified based upon the requirements of those directing the analytics (or customers, who will use the finished product of the analysis). [ 14 ] [ 15 ] The general type of entity upon which the data will be collected is referred to as an experimental unit (e.g., a person or population of ...

7. Analytics - Wikipedia

   en.wikipedia.org/wiki/Analytics

   Analytics is the systematic computational analysis of data or statistics. [1] It is used for the discovery, interpretation, and communication of meaningful patterns in data, which also falls under and directly relates to the umbrella term, data science. [2] Analytics also entails applying data patterns toward effective decision-making.