Data Engineer, Big Data and ML on Google Cloud em Português

Google Cloud via CourseraSpecs

Go to Course: https://www.coursera.org/specializations/gcp-data-machine-learning-br

Introduction

### Course Review: Data Engineer, Big Data and ML on Google Cloud em Português If you're looking to kickstart your career in data engineering and leverage the power of machine learning and big data, the course "Data Engineer, Big Data and ML on Google Cloud em Português" offered by Google Cloud on Coursera is an invaluable resource. This specialized course is designed specifically for Portuguese speakers, making it accessible and engaging for those who are comfortable with the language. #### Overview The course provides a comprehensive introduction to the various products and services of Google Cloud that are essential for big data and machine learning. It is structured to help learners develop both the technical skills and the business acumen needed to succeed in the field of data engineering. The curriculum covers a range of topics and techniques crucial for building efficient data pipelines and analyzing vast amounts of data. #### Syllabus Highlights The course is broken into several focused modules, each pivotal for budding data engineers: 1. **Big Data and Machine Learning Fundamentals**: This module introduces the concepts and services offered by Google Cloud related to Big Data and ML. You can access it [here](https://www.coursera.org/learn/gcp-big-data-ml-fundamentals-br). 2. **Modernizing Data Lakes and Data Warehouses**: Understanding data lakes and warehouses is crucial for managing vast datasets effectively. This module details the modern practices and tools to refine these processes, accessible [here](https://www.coursera.org/learn/data-lakes-data-warehouses-gcp-br). 3. **Building Batch Data Pipelines**: This section delves into the foundations of batch processing and the design of data pipelines, a critical aspect of data engineering. Learn more about it [here](https://www.coursera.org/learn/batch-data-pipelines-gcp-br). 4. **Building Resilient Streaming Analytics Systems**: This module focuses on the importance of real-time data processing and analytics. Streaming data techniques are becoming increasingly vital in business, and you can explore this topic [here](https://www.coursera.org/learn/streaming-analytics-systems-gcp-br). 5. **Smart Analytics, Machine Learning, and AI**: Integrating machine learning into data workflows can enhance the depth of insights extracted from data. This module explores advanced analytics and you can check it out [here](https://www.coursera.org/learn/smart-analytics-machine-learning-ai-gcp-br). #### Strengths of the Course - **Language Accessibility**: It's tailor-made for Portuguese speakers, which reduces language barriers and improves comprehension. - **Industry-Relevant Content**: As the course is developed and delivered by Google Cloud experts, you can trust that the knowledge you gain is aligned with current industry standards and practices. - **Structured Learning Path**: With a progressive curriculum, each module builds upon the previous one, allowing for a seamless learning experience. - **Hands-On Experience**: The course includes practical components, ensuring that you not only understand the theoretical aspects but also gain practical skills through exercises and projects. #### Recommendations I highly recommend this course for anyone eager to start a career in data engineering, particularly those interested in utilizing Google Cloud technologies. Whether you are a student, a professional looking to switch careers, or someone in the tech field wanting to enhance your skills, this course provides solid foundational knowledge and practical insights. In conclusion, "Data Engineer, Big Data and ML on Google Cloud em Português" is not just a course; it's a stepping stone into the expansive field of data engineering and machine learning. Take the first step in transforming your career today by enrolling [here](https://coursera.pxf.io/c/3416256/1164545/14726?u=https%3A%2F%2Fwww.coursera.org%2Flearn%2Fgcp-big-data-ml-fundamentals-br). Embrace the future of data with Google Cloud!

Syllabus

https://www.coursera.org/learn/gcp-big-data-ml-fundamentals-br

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

Offered by Google Cloud. Neste curso, apresentamos os produtos e serviços de Big Data e machine learning do Google Cloud que dão suporte ao ...

https://www.coursera.org/learn/data-lakes-data-warehouses-gcp-br

Modernizing Data Lakes and Data Warehouses with GCP em Português Brasileiro

Offered by Google Cloud. Os dois principais componentes de um pipeline de dados são data lakes e warehouses. Neste curso, destacamos os ...

https://www.coursera.org/learn/batch-data-pipelines-gcp-br

Building Batch Data Pipelines on GCP em Português Brasileiro

Offered by Google Cloud. Os pipelines de dados geralmente se encaixam em um dos três paradigmas: extração-carregamento, ...

https://www.coursera.org/learn/streaming-analytics-systems-gcp-br

Building Resilient Streaming Analytics Systems on GCP em Português Brasileiro

Offered by Google Cloud. O processamento de dados de streaming é cada vez mais usado pelas empresas porque gera métricas sobre as operações ...

https://www.coursera.org/learn/smart-analytics-machine-learning-ai-gcp-br

Smart Analytics, Machine Learning, and AI on GCP em Português Brasileiro

Offered by Google Cloud. Com a incorporação do machine learning aos pipelines de dados, as empresas podem extrair mais insights. Neste ...

Overview

Offered by Google Cloud. Engenharia de dados no Google Cloud Platform. Inicie sua carreira em engenharia de dados e valor comercial com Big ...

Skills

Reviews