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  2. IBM SkillsBuild - Wikipedia

    en.wikipedia.org/wiki/IBM_SkillsBuild

    IBM's curricula include introductions to AI and cloud computing, particularly for positions like help desk specialist, web developer, and data analyst. - In Latin America, IBM is partnering with Junior Achievement Americas to provide IBM SkillsBuild and IBM mentors to train women for web development and programming careers.

  3. Data analysis - Wikipedia

    en.wikipedia.org/wiki/Data_analysis

    Data collection or data gathering is the process of gathering and measuring information on targeted variables in an established system, which then enables one to answer relevant questions and evaluate outcomes. The data may also be collected from sensors in the environment, including traffic cameras, satellites, recording devices, etc.

  4. Microsoft Power BI - Wikipedia

    en.wikipedia.org/wiki/Microsoft_Power_BI

    Power BI is a collection of software services, apps, and connectors that work together to turn various sources of data into static and interactive data visualizations. Data may be input by reading directly from a database , webpage, PDF , or structured files such as spreadsheets, CSV , XML , JSON , [ 8 ] XLSX, and SharePoint.

  5. Recruitment - Wikipedia

    en.wikipedia.org/wiki/Recruitment

    In the United States, the Equal Employment Opportunity Commission has established guidelines for prohibited employment policies/practices. These regulations serve to discourage discrimination based on race , color , religion , sex , age , disability , etc. [ 43 ] However, recruitment ethics is an area of business that is prone to many other ...

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    Get AOL Mail for FREE! Manage your email like never before with travel, photo & document views. Personalize your inbox with themes & tabs. You've Got Mail!

  7. 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 from that data to solve problems in other application domains. The field encompasses preparing data for analysis, formulating data science problems, analyzing data, and summarizing