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2. IBM SkillsBuild - Wikipedia

   en.wikipedia.org/wiki/IBM_SkillsBuild

   The open version of IBM SkillsBuild is an online platform which offers over 1,000 courses in 20 languages on artificial intelligence, cybersecurity, data analysis, cloud computing and many other technical disciplines — as well as in workplace skills such as Design Thinking.

3. Data analysis - Wikipedia

   en.wikipedia.org/wiki/Data_analysis

   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]

4. WorldQuant University - Wikipedia

   en.wikipedia.org/wiki/WorldQuant_University

   WorldQuant University's entirely-free, accredited, online MSc in Financial Engineering Program integrates mathematical, statistical, and computer science tools with finance theory and professional business skills. The two-year program consists of nine graduate-level courses and a Capstone course during which students complete a culminating project.

5. Data science - Wikipedia

   en.wikipedia.org/wiki/Data_science

   Topological data analysis (TDA) is a mathematical framework that uses tools from topology, including algebraic, differential, and geometric topology, to study the shape and structure of data. In summary, data analysis and data science are distinct yet interconnected disciplines within the broader field of data management, analysis, and mathematics.

6. Coursera - Wikipedia

   en.wikipedia.org/wiki/Coursera

   Coursera Inc. (/ k ər ˈ s ɛ r ə /) is an American global massive open online course provider. It was founded in 2012 [2] [3] by Stanford University computer science professors Andrew Ng and Daphne Koller. [4] Coursera works with universities and other organizations to offer online courses, certifications, and degrees in a variety of subjects.

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.