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  2. Level Up Your Life: 22 Online Courses Worth Gifting To ... - AOL

    www.aol.com/treat-brain-22-online-courses...

    Two free courses are available, with an option to upgrade to premium for unlimited access. ... From Beginner to Advanced on Udemy . Level up your office game, automate your daily tasks, and wow ...

  3. Udemy - Wikipedia

    en.wikipedia.org/wiki/Udemy

    Udemy is a platform that allows instructors to build online courses on their preferred topics. Using Udemy's course development tools, instructors can upload videos, source code for developers, PowerPoint presentations, PDFs, audio, ZIP files and any other content that learners might find helpful. Instructors can also engage and interact with ...

  4. Data analysis - Wikipedia

    en.wikipedia.org/wiki/Data_analysis

    Data science process flowchart from Doing Data Science, by Schutt & O'Neil (2013) Analysis refers to dividing a whole into its separate components for individual examination. [10] Data analysis is a process for obtaining raw data, and subsequently converting it into information useful for decision-making by users. [1]

  5. Online learning in higher education - Wikipedia

    en.wikipedia.org/wiki/Online_learning_in_higher...

    Online Learning via Learning Management System. Online learning involves courses offered by primary institutions that are 100% virtual. Online learning, or virtual classes offered over the internet, is contrasted with traditional courses taken in a brick-and-mortar school building.

  6. Massive open online course - Wikipedia

    en.wikipedia.org/wiki/Massive_open_online_course

    Course developers could charge licensing fees for educational institutions that use its materials. Introductory or "gateway" courses and some remedial courses may earn the most fees. Free introductory courses may attract new students to follow-on fee-charging classes. Blended courses supplement MOOC material with face-to-face instruction.

  7. Data science - Wikipedia

    en.wikipedia.org/wiki/Data_science

    Data science is multifaceted and can be described as a science, a research paradigm, a research method, a discipline, a workflow, and a profession. [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]