SparkED

Empoderando profissionais de todos os níveis e em todas as disciplinas, para o desenvolvimento das habilidades em analytics de que precisam para questionar, entender e solucionar problemas utilizando dados.

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Estudante

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Incluso, sem custo adicional:

Licença do Alteryx Designer por 1 ano
Recursos de aprendizagem
Certificações

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Educador

Empodere os estudantes com habilidades analíticas.

Incluso, sem custo adicional:

Licença do Alteryx Designer por 1 ano
Currículo
Comunidade colaborativa de professores

Recursos de ensino

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Incluso, sem custo adicional:

Licença do Alteryx Designer por 3 meses
Caminho de aprendizado prescritivo (ADAPT)
Certificação

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READ BLOG - BUILDING IN-DEMAND DATA ANALYTICS JOB SKILLS. "We help students build practical skills that can expand their professional horizons. They start talking confidently about techniques and tools they never even knew existed.”

— Alejandro Gutierrez Lopez, Data Analytics Professor, McGill University, Montreal, Canada

READ BLOG - RISING ABOVE WITH DATA. “When I got out of the military, I had all of these skills. But I had no clear way of showing what I was capable of, so I struggled. With certifications like this, I can have a clear statement saying, ‘This is exactly what I can do, and these people have verified it."

— Leeia Isabel, career changer

READ BLOG - NO CODE, NO PROBLEM FOR STUDENTS LEARNING DATA SKILLS. " I went from not understanding what data cleaning is to getting a head start on the skills my employer wants. Alteryx brought it down to a very user-friendly level."

— Petra Such, California State University, Fullerton student

READ BLOG - COLLEGE STUDENTS DISCOVER THE POWER OF DATA ANALYTISCS. “My goal is for students to be capable of asking intelligent questions — to develop a hypothesis about what’s going on and then test it using the latest analytic technologies.”

— Kai Larsen, Assoc Prof of Info Systems, Leeds School of Business, University of CO Boulder

READ BLOG - VIRGINIA TECH STUDENTS CONFRONT COMPLEX CHALLENGES WITH DATA."I really appreciated that you don't have to be a data scientist to effectively use this technology and put it to good use.”