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Google Cloud Platform Big Data and Machine Learning Fundamentals

Google Cloud

This course introduces participants to the big data capabilities of Google Cloud. Through a combination of presentations, demos, and hands-on labs, participants get an overview of Google Cloud and a detailed view of the data processing and machine learning capabilities. This course showcases the ease, flexibility, and power of big data solutions on Google Cloud.

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This course introduces participants to the big data capabilities of Google Cloud. Through a combination of presentations, demos, and hands-on labs, participants get an overview of Google Cloud and a detailed view of the data processing and machine learning capabilities. This course showcases the ease, flexibility, and power of big data solutions on Google Cloud.

This course introduces participants to the big data capabilities of Google Cloud. Through a combination of presentations, demos, and hands-on labs, participants get an overview of Google Cloud and a detailed view of the data processing and machine learning capabilities. This course showcases the ease, flexibility, and power of big data solutions on Google Cloud.

GCP is a public cloud vendor. Other competitors are Microsoft Azure, and Amazon Web Services (AWS). With these cloud based services, customers are able to access computer resources housed within their selected vendor's platform.

This course is for anyone that wants to learn more about Google Cloud and has a basic understanding of machine learning. Being an intermediate course, it does require some light experience and familiarity with IT.

In this GCP course you will learn how to use google cloud for big data and the machine learning capabilities. You will learn the ease, power and flexibility of big data solutions within Google Cloud.

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What's inside

Syllabus

Introduction to the Data and Machine Learning on Google Cloud Course
Introduction to Google Cloud Platform
Recommending Products using Cloud SQL and Spark
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Predict Visitor Purchases Using BigQuery ML
Real-time IoT Dashboards with Pub/Sub, Dataflow, and Data Studio
Deriving Insights from Unstructured Data using Machine Learning
Summary

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Teaches skills, knowledge, and tools that are highly relevant to industry
Taught by Google Cloud, who are recognized for their work in big data
Examines big data capabilities of Google Cloud, which is highly relevant to data science
Offers hands-on labs and interactive materials for practical experience
Strengthens an existing foundation for intermediate learners in data science
Requires some light experience and familiarity with IT, which may be a barrier for complete beginners

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Career center

Learners who complete Google Cloud Platform Big Data and Machine Learning Fundamentals will develop knowledge and skills that may be useful to these careers:
Data Scientist
Data Scientists use data to devise solutions to complex questions and critical problems. For those looking to enter this field, the Google Cloud Platform Big Data and Machine Learning Fundamentals course is recommended. This course dives deep into the data processing and machine learning capabilities of Google Cloud, providing a strong grounding in essential concepts for data scientists.
Machine Learning Engineer
With the Google Cloud Platform Big Data and Machine Learning Fundamentals course, individuals looking to become Machine Learning Engineers can gain valuable knowledge. The course covers Google Cloud's data processing and machine learning capabilities, empowering learners to leverage Google Cloud's ease, flexibility, and power in building machine learning solutions.
Business Intelligence Analyst
Through the Google Cloud Platform Big Data and Machine Learning Fundamentals course, aspiring Business Intelligence Analysts can enhance their understanding of data processing and machine learning and how to apply them in a business context. This course provides a solid foundation for leveraging Google Cloud's capabilities to extract insights and inform decision-making.
Data Analyst
The Google Cloud Platform Big Data and Machine Learning Fundamentals course offers a comprehensive introduction to data processing and machine learning on Google Cloud. For Data Analysts, this course is particularly valuable as it provides hands-on experience in using these capabilities to derive insights from data and support data-driven decision-making.
Database Administrator
Individuals seeking to become Database Administrators can benefit from the Google Cloud Platform Big Data and Machine Learning Fundamentals course. The course covers essential data processing concepts on Google Cloud and provides practical experience in using tools like Cloud SQL and BigQuery, which are widely used by database professionals.
Data Engineer
The Google Cloud Platform Big Data and Machine Learning Fundamentals course may be useful for aspiring Data Engineers. While this course focuses on data processing and machine learning as opposed to data engineering specifically, it provides a solid foundation in GCP technologies and practices that data engineers use regularly.
Software Engineer
The Google Cloud Platform Big Data and Machine Learning Fundamentals course can supplement the skills of Software Engineers looking to expand their expertise into data processing and machine learning. The course covers fundamental concepts and tools on Google Cloud, providing a valuable addition to the skillset of software engineers.
Cloud Architect
For Cloud Architects, the Google Cloud Platform Big Data and Machine Learning Fundamentals course may be beneficial. The course provides a comprehensive overview of Google Cloud's data processing and machine learning services, helping architects understand how to design and implement scalable, data-driven solutions on Google Cloud.
Big Data Architect
Individuals seeking to become Big Data Architects may find the Google Cloud Platform Big Data and Machine Learning Fundamentals course valuable. The course provides a deep dive into Google Cloud's data processing capabilities, including BigQuery, Dataflow, and Cloud Bigtable, which are essential technologies for big data architects.
Data Science Manager
The Google Cloud Platform Big Data and Machine Learning Fundamentals course offers a solid foundation for aspiring Data Science Managers. The course covers data processing and machine learning concepts and provides hands-on experience with Google Cloud services, equipping managers to lead and support data science teams effectively.
Product Manager
Product Managers can benefit from the Google Cloud Platform Big Data and Machine Learning Fundamentals course to gain a better understanding of data-driven product development. The course covers machine learning and data processing, providing product managers with the knowledge to make data-informed decisions and develop products that meet user needs.
Quantitative Analyst
The Google Cloud Platform Big Data and Machine Learning Fundamentals course can provide a valuable foundation for individuals looking to become Quantitative Analysts. The course covers essential data analysis techniques and machine learning concepts, equipping learners with the skills to analyze large datasets and make data-driven predictions.
Statistician
The Google Cloud Platform Big Data and Machine Learning Fundamentals course offers a solid introduction to data analysis and machine learning for aspiring Statisticians. The course covers essential statistical techniques and provides hands-on experience with Google Cloud tools, empowering statisticians to leverage cloud computing for their work.
IT Consultant
The Google Cloud Platform Big Data and Machine Learning Fundamentals course may be beneficial for IT Consultants seeking to expand their expertise into cloud-based data processing and machine learning. The course provides a comprehensive overview of Google Cloud's platform and its capabilities in these areas.
Data Visualization Specialist
Individuals aiming to become Data Visualization Specialists can benefit from the Google Cloud Platform Big Data and Machine Learning Fundamentals course. The course includes a module on data visualization using Data Studio, providing learners with practical experience in creating compelling data visualizations.

Reading list

We've selected 23 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Google Cloud Platform Big Data and Machine Learning Fundamentals.
Explores the Google Cloud Platform and its services to help you build big data solutions. You'll learn about Google's tools and applications, and you'll get hands-on experience working with data. This book provides you with the foundational knowledge you need to get started with big data analytics and machine learning on Google Cloud.
Provides a comprehensive overview of reinforcement learning. You will learn about the different types of reinforcement learning algorithms, as well as how to train and evaluate reinforcement learning models. This book must-read for anyone interested in learning more about reinforcement learning.
Provides a comprehensive overview of deep learning. You will learn about the different types of deep learning models, as well as how to train and evaluate deep learning models. This book must-read for anyone interested in learning more about deep learning.
Provides a comprehensive overview of linear algebra. You will learn about the different types of linear algebra problems, as well as how to solve linear algebra problems. This book must-read for anyone interested in learning more about linear algebra.
Provides a comprehensive overview of the elements of statistical learning, covering everything from the basics to the latest trends. It great resource for anyone who wants to learn more about the elements of statistical learning.
Introduces you to the Python programming language and its data analysis capabilities. You will learn about data structures, data cleaning, and data visualization, as well as how to use Pandas and other popular Python libraries for data analysis. This book is the standard reference book on Python for data analysis, and must-have for anyone interested in using Python for this purpose.
Provides a comprehensive overview of convex optimization. You will learn about the different types of convex optimization problems, as well as how to solve convex optimization problems. This book must-read for anyone interested in learning more about convex optimization.
Provides a comprehensive overview of algorithms. You will learn about the different types of algorithms, as well as how to design and analyze algorithms. This book must-read for anyone interested in learning more about algorithms.
Provides a comprehensive overview of data structures. You will learn about the different types of data structures, as well as how to design and analyze data structures. This book must-read for anyone interested in learning more about data structures.
Provides a comprehensive overview of big data analytics, covering everything from the basics to the latest trends. It great resource for anyone who wants to learn more about big data analytics.
Provides a comprehensive overview of data mining, covering everything from the basics to the latest research. It great resource for anyone who wants to learn more about data mining.
Provides a comprehensive overview of Hadoop, covering everything from the basics to the latest features. It great resource for anyone who wants to learn more about Hadoop.
Teaches you how to build machine learning models from scratch. You will learn about the basics of machine learning, as well as how to implement machine learning algorithms in Python. This book great introduction to machine learning for people with no prior experience.
Provides a gentle introduction to machine learning, making it a great resource for anyone who is new to the field. It covers a wide range of topics, from the basics of machine learning to more advanced concepts.
Provides a comprehensive overview of machine learning for hackers, covering everything from the basics to the latest trends. It great resource for anyone who wants to learn more about machine learning for hacking.
Provides a comprehensive overview of machine learning in action, covering everything from the basics to the latest trends. It great resource for anyone who wants to learn more about machine learning in action.
Provides a comprehensive overview of real analysis. You will learn about the different types of real analysis problems, as well as how to solve real analysis problems. This book must-read for anyone interested in learning more about real analysis.
Provides a comprehensive overview of probability theory. You will learn about the different types of probability theory problems, as well as how to solve probability theory problems. This book must-read for anyone interested in learning more about probability theory.
Provides a comprehensive overview of statistical inference. You will learn about the different types of statistical inference problems, as well as how to solve statistical inference problems. This book must-read for anyone interested in learning more about statistical inference.
Provides a comprehensive overview of information theory. You will learn about the different types of information theory problems, as well as how to solve information theory problems. This book must-read for anyone interested in learning more about information theory.
Provides a comprehensive overview of machine learning for business, covering everything from the basics to the latest trends. It great resource for anyone who wants to learn more about machine learning for business.
Provides a comprehensive overview of data visualization, covering everything from the basics to the latest trends. It great resource for anyone who wants to learn more about data visualization.

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