Foundations: Data, Data, Everywhere
link Origem: www.coursera.org
list 5 sequencias
assignment Nível: Introdutório
chat_bubble_outline Idioma : Inglês
card_giftcard 176 pontos
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Informações principais

credit_card Free accesso
verified_user Certificado pago
timer 22 total de horas

Sobre o conteúdo

This is the first course in the Google Data Analytics Certificate. These courses will equip you with the skills you need to apply to introductory-level data analyst jobs. Organizations of all kinds need data analysts to help them improve their processes, identify opportunities and trends, launch new products, and make thoughtful decisions. In this course, you’ll be introduced to the world of data analytics through hands-on curriculum developed by Google. The material shared covers plenty of key data analytics topics, and it’s designed to give you an overview of what’s to come in the Google Data Analytics Certificate. Current Google data analysts will instruct and provide you with hands-on ways to accomplish common data analyst tasks with the best tools and resources.

Learners who complete this certificate program will be equipped to apply for introductory-level jobs as data analysts. No previous experience is necessary.

By the end of this course, you will:
- Gain an understanding of the practices and processes used by a junior or associate data analyst in their day-to-day job. 
- Learn about key analytical skills (data cleaning, data analysis, data visualization) and tools (spreadsheets, SQL, R programming, Tableau) that you can add to your professional toolbox. 
- Discover a wide variety of terms and concepts relevant to the role of a junior data analyst, such as the data life cycle and the data analysis process. 
- Evaluate the role of analytics in the data ecosystem. 
- Conduct an analytical thinking self-assessment. 
- Explore job opportunities available to you upon program completion, and learn about best practices in the job search.

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Programa de estudos

Define and explain key concepts involved in data analytics including data, data analysis, and data ecosystem

Conduct an analytical thinking self assessment giving specific examples of the application of analytical thinking

Discuss the role of spreadsheets, query languages, and data visualization tools in data analytics

Describe the role of a data analyst with specific reference to jobs/positions

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Instrutores

Google Career Certificates
Google Career Certificates are part of Grow with Google, an initiative that draws on Google's 20-year history of building products, platforms, and services that help people and businesses grow. Through programs like these, we aim to help everyone– those who make up the workforce of today and the students who will drive the workforce of tomorrow – access the best of Google’s training and tools to grow their skills, careers, and businesses.

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Criador do conteúdo

Google

Google est une entreprise fondée le 4 septembre 1998 dans le garage Google dans la Silicon Valley, en Californie, par Larry Page et Sergueï Brin, créateurs du moteur de recherche Google.

L'entreprise s'est principalement fait connaître à travers la situation monopolistique de son moteur de recherche, concurrencé historiquement par AltaVista puis par Yahoo! et Bing. Elle a ensuite procédé à de nombreuses acquisitions et développements et détient aujourd'hui de nombreux logiciels et sites web notables parmi lesquels YouTube, le système d'exploitation pour téléphones mobiles Android, ainsi que d'autres services tels que Google Earth, Google Maps ou Google Play.

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Plataforma

Coursera

A Coursera é uma empresa digital que oferece um curso on-line massivo e aberto, fundado pelos professores de computação Andrew Ng e Daphne Koller Stanford University, localizado em Mountain View, Califórnia.

O Coursera trabalha com as melhores universidades e organizações para disponibilizar alguns dos seus cursos on-line e oferece cursos em várias disciplinas, incluindo: física, engenharia, humanidades, medicina, biologia, ciências sociais, matemática, negócios, ciência da computação, marketing digital, ciência de dados. e outros assuntos.Cours

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