Google Cloud Platform Big Data and Machine Learning Fundamentals em Português Brasileiro from Coursera

What's inside

Syllabus

Introdução ao curso

Nesta seção, os participantes encontram o curso de noções básicas de Big Data e machine learning, bem como uma visão geral da estrutura e dos objetivos do curso.

Big Data e machine learning no Google Cloud

Nesta seção, você encontra os principais componentes da infraestrutura do Google Cloud. Nela, apresentamos muitos dos produtos e serviços de Big Data e machine learning que suportam o ciclo de vida de dados para IA no Google Cloud.

Engenharia de dados para dados de streaming

Nesta seção, você conhecerá a solução do Google Cloud para gerenciar dados de streaming. Nela, analisamos um pipeline completo, incluindo a ingestão de dados com o Pub/Sub, o processamento de dados com o Dataflow e a visualização de dados com o Looker e o Data Studio.

Big Data com BigQuery

Nesta seção, apresentamos aos participantes o BigQuery, o data warehouse sem servidor e totalmente gerenciado do Google. Também mostramos o BigQuery ML, bem como os processos e principais comandos usados para criar modelos de machine learning personalizados.

Opções de machine learning no Google Cloud

Nesta seção, você verá quatro opções diferentes para criar modelos de machine learning no Google Cloud. Nela, também apresentaremos a Vertex AI, a plataforma unificada do Google para criação e gerenciamento do ciclo de vida de projetos de ML.

O fluxo de trabalho de machine learning com a Vertex AI

Neste módulo, focaremos nas três etapas principais do fluxo de trabalho de machine learning na Vertex AI: preparação de dados, treinamento de modelos e avaliação de modelos. Os participantes poderão praticar a criação de um modelo de machine learning com o AutoML.

Resumo do curso

Nesta seção, você verá novamente os temas do curso, bem como outros recursos para consultar no futuro.

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Apresenta produtos e serviços do Google Cloud que suportam o ciclo de vida de dados para IA

Inclui módulos práticos com o AutoML para criação de modelos de machine learning

Aborda engenharia de dados para dados de streaming usando Pub/Sub e Dataflow

Ensina utilização do BigQuery para análise de dados e criação de modelos de machine learning personalizados

Apresenta a Vertex AI como plataforma unificada para criação e gerenciamento de projetos de ML

Fornece uma introdução aos fundamentos de Big Data e machine learning

Reviews summary

Impressive course on google cloud big data and ml

Students highly applaud this course's top-notch instruction on Google Cloud's Big Data and Machine Learning services. The well-structured content, coupled with practical labs, helps learners to master data engineering, streaming data management, machine learning concepts, and Vertex AI. Overall, this platform is a great choice for those seeking a deep dive into Google Cloud's Big Data and Machine Learning capabilities.

High-quality teaching.

"Aprendizado muito prático, simples e rico."

"The high quality of the materials and the overall presentation of the course."

Engaging labs.

"Extramente enriquecedor todo o conteúdo, principalmente os laboratórios."

In-depth Google Cloud instruction.

"Bom curso, demonstra como utilizar as ferramentas, com bons exemplos"

"Apesar de ser um curso para iniciantes, foi apresentado um conteúdo de excelente qualidade nos assuntos sobre Machine learning e as ferramentas do GCP para essa finalidade."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Google Cloud Platform Big Data and Machine Learning Fundamentals em Português Brasileiro with these activities:

Review Google Cloud Console Navigation

Show steps

Familiarize yourself with the basic structure and navigation tools of Google Cloud Platform to make it easier to understand how to find the different services needed for this course.

Browse courses on Google Cloud

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Log in to Google Cloud Console
Explore the navigation bar
Find the BigQuery Service

Review Intro to SQL

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Review the basics of SQL to make it easier to understand how to use BigQuery for processing data.

Browse courses on SQL

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Review basic SQL commands
Read through a SQL tutorial
Complete 10 practice SQL queries

Intro to Python + Pandas

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Understand the basics of Python and Pandas to make it easier to understand the use cases and how to use the libraries within the course.

Browse courses on Python

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Complete a Python tutorial
Complete a Pandas tutorial
Combine pandas and Python to prepare your own dataset

Three other activities

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Build streaming data pipelines with Pub/Sub and Dataflow

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Explore how to use Google Cloud Platform services (Pub/Sub and Dataflow) to create and work with streaming data.

Browse courses on Pub/Sub

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Follow a tutorial to build a data pipeline with Pub/Sub
Follow a tutorial to build a data pipeline with Dataflow
Combine the two pipelines to create a complete streaming data solution

Create a data visualization from Big Query data

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Practice using BigQuery to create visualizations that can be used to gain insights from data.

Browse courses on BigQuery

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Download a dataset from BigQuery
Use a data visualization library (e.g., Plotly, Seaborn) to create visualizations
Present your visualizations

Machine learning discussion group

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Discuss machine learning concepts, share resources, and get feedback on your projects.

Browse courses on Machine Learning

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Join or create a discussion group
Participate in discussions
Share your project progress

Career center

Learners who complete Google Cloud Platform Big Data and Machine Learning Fundamentals em Português Brasileiro will develop knowledge and skills that may be useful to these careers:

Business Intelligence Analyst

Business Intelligence Analysts use data to help businesses make better decisions. They use statistical and machine learning techniques to analyze data, identify trends, and create visualizations. This course provides a strong foundation in Big Data and machine learning, which are essential skills for Business Intelligence Analysts. The course also covers the Google Cloud Platform, which is a popular platform for Business Intelligence work.

See salaries and explore the career path for Business Intelligence Analyst

Data Analyst

Data Analysts use data to understand trends and solve problems. They use statistical and machine learning techniques to analyze data, identify patterns, and create visualizations. This course provides a strong foundation in Big Data and machine learning, which are essential skills for Data Analysts. The course also covers the Google Cloud Platform, which is a popular platform for Data Analytics work.

See salaries and explore the career path for Data Analyst

Machine Learning Engineer

Machine Learning Engineers design and build machine learning models. They use statistical and machine learning techniques to analyze data, train models, and deploy models into production. This course provides a strong foundation in Big Data and machine learning, which are essential skills for Machine Learning Engineers. The course also covers the Google Cloud Platform, which is a popular platform for Machine Learning work.

See salaries and explore the career path for Machine Learning Engineer

Data Scientist

Data Scientists help businesses use data to solve problems and make better decisions. They use statistical and machine learning techniques to analyze data, identify trends, and build predictive models. This course provides a strong foundation in Big Data and machine learning, which are essential skills for Data Scientists. The course also covers the Google Cloud Platform, which is a popular platform for Data Science work.

See salaries and explore the career path for Data Scientist

Data Engineer

Data Engineers build and maintain the infrastructure that stores and processes data. They use Big Data technologies to manage data, create data pipelines, and ensure data quality. This course provides a strong foundation in Big Data and machine learning, which are essential skills for Data Engineers. The course also covers the Google Cloud Platform, which is a popular platform for Data Engineering work.

See salaries and explore the career path for Data Engineer

Cloud Architect

Cloud Architects design and build cloud computing solutions. They use cloud computing technologies to create scalable, reliable, and secure applications. This course provides a foundation in Big Data and machine learning, which are increasingly important skills for Cloud Architects. The course also covers the Google Cloud Platform, which is a popular platform for Cloud Architecture work.

See salaries and explore the career path for Cloud Architect

Data Warehouse Architect

Data Warehouse Architects design and build data warehouses. They use data warehousing technologies to create scalable, reliable, and secure data warehouses. This course provides a foundation in Big Data and machine learning, which are increasingly important skills for Data Warehouse Architects. The course also covers the Google Cloud Platform, which is a popular platform for Data Warehouse Architecture work.

See salaries and explore the career path for Data Warehouse Architect

Data Scientist Manager

Data Scientist Managers lead teams of Data Scientists. They are responsible for managing the team's workload, setting priorities, and ensuring that the team meets its goals. This course provides a foundation in Big Data and machine learning, which are essential skills for Data Scientist Managers. The course also covers the Google Cloud Platform, which is a popular platform for Data Science work.

See salaries and explore the career path for Data Scientist Manager

Data Analytics Manager

Data Analytics Managers lead teams of Data Analysts. They are responsible for managing the team's workload, setting priorities, and ensuring that the team meets its goals. This course provides a foundation in Big Data and machine learning, which are essential skills for Data Analytics Managers. The course also covers the Google Cloud Platform, which is a popular platform for Data Analytics work.

See salaries and explore the career path for Data Analytics Manager

Machine Learning Manager

Machine Learning Managers lead teams of Machine Learning Engineers. They are responsible for managing the team's workload, setting priorities, and ensuring that the team meets its goals. This course provides a foundation in Big Data and machine learning, which are essential skills for Machine Learning Managers. The course also covers the Google Cloud Platform, which is a popular platform for Machine Learning work.

See salaries and explore the career path for Machine Learning Manager

Software Engineer

Software Engineers design, build, and maintain software applications. They use programming languages to write code, test code, and deploy code. This course provides a foundation in Big Data and machine learning, which are increasingly important skills for Software Engineers. The course also covers the Google Cloud Platform, which is a popular platform for Software Engineering work.

See salaries and explore the career path for Software Engineer

Consultant

Consultants provide advice and guidance to businesses on a variety of topics. They use their expertise to help businesses solve problems, improve performance, and achieve their goals. This course provides a foundation in Big Data and machine learning, which are increasingly important skills for Consultants. The course also covers the Google Cloud Platform, which is a popular platform for Consulting work.

See salaries and explore the career path for Consultant

Business Analyst

Business Analysts help businesses understand their business needs and develop solutions to meet those needs. They use data analysis techniques to identify problems, develop solutions, and improve business processes. This course provides a foundation in Big Data and machine learning, which are increasingly important skills for Business Analysts. The course also covers the Google Cloud Platform, which is a popular platform for Business Analysis work.

See salaries and explore the career path for Business Analyst

Product Manager

Product Managers are responsible for the development and launch of new products. They work with engineers, designers, and marketers to create products that meet the needs of customers. This course provides a foundation in Big Data and machine learning, which are increasingly important skills for Product Managers. The course also covers the Google Cloud Platform, which is a popular platform for Product Development work.

See salaries and explore the career path for Product Manager

Project Manager

Project Managers are responsible for planning, executing, and completing projects. They work with stakeholders to define project goals, create project plans, and track project progress. This course provides a foundation in Big Data and machine learning, which are increasingly important skills for Project Managers. The course also covers the Google Cloud Platform, which is a popular platform for Project Management work.

See salaries and explore the career path for Project Manager