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2. Data science - Wikipedia

   en.wikipedia.org/wiki/Data_science

   Data science is an interdisciplinary field [10] focused on extracting knowledge from typically large data sets and applying the knowledge and insights from that data to solve problems in a wide range of application domains. The field encompasses preparing data for analysis, formulating data science problems, analyzing data, developing data ...

3. Google Slides - Wikipedia

   en.wikipedia.org/wiki/Google_Slides

   Google Slides is a presentation program and part of the free, web-based Google Docs suite offered by Google. Google Slides is available as a web application, mobile app for: Android, iOS, and as a desktop application on Google's ChromeOS. The app is compatible with Microsoft PowerPoint file formats. [ 5 ]

4. Presentation program - Wikipedia

   en.wikipedia.org/wiki/Presentation_program

   In computing, a presentation program (also called presentation software) is a software package used to display information in the form of a slide show. It has three major functions: [1] an editor that allows text to be inserted and formatted. a method for inserting and manipulating graphic images and media clips.

5. List of free and open-source software packages - Wikipedia

   en.wikipedia.org/wiki/List_of_free_and_open...

   Moodle – Free and open-source learning management system. OLAT – Web-based Learning Content Management System. Omeka – Content management system for online digital collections. openSIS – Web-based Student Information and School Management system. Sakai Project – Web-based learning management system.

6. Microsoft PowerPoint - Wikipedia

   en.wikipedia.org/wiki/Microsoft_PowerPoint

   Microsoft Producer for PowerPoint 2003" was a free plug-in from Microsoft, using a video camera, "that creates Web page presentations, with talking head narration, coordinated and timed to your existing PowerPoint presentation" for delivery over the web. [244]

7. DataOps - Wikipedia

   en.wikipedia.org/wiki/Dataops

   DataOps is a set of practices, processes and technologies that combines an integrated and process-oriented perspective on data with automation and methods from agile software engineering to improve quality, speed, and collaboration and promote a culture of continuous improvement in the area of data analytics. [1]