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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. Artificial intelligence in hiring - Wikipedia

    en.wikipedia.org/wiki/Artificial_intelligence_in...

    Artificial intelligence in hiring confers many benefits, but it also has some challenges which have concerned experts. [15] AI is only as good as the data it is using. Biases can inadvertently be baked into the data used in AI. [1] Often companies will use data from their employees to decide what people to recruit or hire.

  4. Data science - Wikipedia

    en.wikipedia.org/wiki/Data_science

    For example, a data analyst might analyze sales data to identify trends in customer behavior and make recommendations for marketing strategies. [ 37 ] Data science, on the other hand, is a more complex and iterative process that involves working with larger, more complex datasets that often require advanced computational and statistical methods ...

  5. 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.

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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. Analytics - Wikipedia

    en.wikipedia.org/wiki/Analytics

    Data analysis focuses on the process of examining past data through business understanding, data understanding, data preparation, modeling and evaluation, and deployment. [8] It is a subset of data analytics, which takes multiple data analysis processes to focus on why an event happened and what may happen in the future based on the previous data.