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Data Science on Google Cloud

Activities in these self-paced labs are derived from the exercises from the book Data Science on Google Cloud Platform by Valliappa Lakshmanan, published by O'Reilly Media, Inc. In this first Google Cloud Labs Series, covering up through chapter 8, you are given the opportunity to practice all aspects of ingestion, preparation, processing, querying, exploring, and visualizing data sets using Google Cloud tools and services. Note: you will have timed access to the online environment. You will need to complete each lab within the allotted time.

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Teaches aspects of data ingestion, preparation, processing, querying, exploring, and visualization, which are core skills for data scientists

Uses hands-on labs and interactive materials, making the learning experience more engaging

Taught by Google Cloud Training, who are recognized for their expertise in the field of data science

Derived from exercises in the book "Data Science on Google Cloud Platform" by Valliappa Lakshmanan, published by O'Reilly Media, Inc., a reputable source in the field

Requires learners to come in with some background knowledge, which may be a barrier for beginners

Provides timed access to the online environment, which may not be suitable for learners who need more time to complete the labs

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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 Data Science on Google Cloud with these activities:

Review Python Basics

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Strengthen fundamental Python programming knowledge for effective data analysis and processing

Browse courses on Python Programming

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Go through online tutorials or documentation on Python basics
Practice writing simple Python scripts and functions
Test your understanding by solving coding challenges

Introduction to Data Science on Google Cloud Platform

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Gain foundational knowledge of data science principles and Google Cloud tools

View Architecting Data and Machine Learning Platforms on Amazon

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Read the first few chapters of the book

Explore Google Cloud Platform Documentation

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Establish foundational concepts and terminology used throughout the course

Browse courses on Google Cloud Platform

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Visit Google Cloud Platform documentation website
Explore key sections such as getting started guides, tutorials, and reference documentation
Familiarize yourself with basic concepts like projects, billing, and resource management

Five other activities

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Join a Study Group

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Collaborate and learn from fellow students, discuss concepts, and solve problems together

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Reach out to classmates or join an existing study group
Set regular meeting times and establish clear goals
Review course materials, work on assignments, and prepare for exams as a group

Create a Cloud Storage Bucket

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Gain hands-on experience with fundamental data storage operations in Google Cloud

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Log into Google Cloud console
Create a new Cloud Storage bucket with appropriate settings

Follow Google Cloud Skills Boost Courses

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Enhance technical skills and gain practical experience

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Choose a Skills Boost course related to course topics
Follow the course instructions and complete the hands-on labs
Earn badges and certificates to demonstrate your proficiency

Attend a Google Cloud Data Analytics Workshop

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Gain practical experience and learn about advanced concepts from industry experts

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Identify and register for a relevant workshop offered by Google Cloud
Attend the workshop, actively participate in hands-on exercises
Network with other participants and industry professionals

Build a Simple Data Pipeline

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Apply course concepts to design and implement a real-world data processing pipeline

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Define the input and output data sources
Choose appropriate Google Cloud services for data ingestion, processing, and visualization
Create and configure the necessary resources, such as Cloud Functions, BigQuery, and Dataflow
Implement the data processing logic and connect the components
Test and validate the pipeline's functionality

Career center

Learners who complete Data Science on Google Cloud will develop knowledge and skills that may be useful to these careers:

Data Scientist

A Data Scientist uses the principles of statistics and machine learning to provide insights from data to drive informed decision-making. This course covers many of the tools and techniques used by Data Scientists to do their work, therefore completing it may be useful in terms of building a foundation for this career.

See salaries and explore the career path for Data Scientist

Data Analyst

A Data Analyst analyzes data to find patterns and trends. This course covers many of the tools and techniques used by Data Analysts to do their work, therefore completing it may be useful in terms of building a foundation for this career.

See salaries and explore the career path for Data Analyst

Machine Learning Engineer

A Machine Learning Engineer builds, deploys, and maintains machine learning models. This course covers many of the tools and techniques used by Machine Learning Engineers to do their work, therefore completing it may be useful in terms of building a foundation for this career.

See salaries and explore the career path for Machine Learning Engineer

Data Engineer

A Data Engineer designs, builds, and maintains data pipelines. This course covers many of the tools and techniques used by Data Engineers to do their work, therefore completing it may be useful in terms of building a foundation for this career.

See salaries and explore the career path for Data Engineer

Business Analyst

A Business Analyst uses data to understand the needs of a business and to make recommendations for how to improve its operations. This course covers many of the tools and techniques used by Business Analysts to do their work, therefore completing it may be useful in terms of building a foundation for this career.

See salaries and explore the career path for Business Analyst

Software Engineer

A Software Engineer designs, develops, and maintains software applications. This course covers many of the tools and techniques used by Software Engineers to do their work, therefore completing it may be useful in terms of building a foundation for this career.

See salaries and explore the career path for Software Engineer

Operations Research Analyst

An Operations Research Analyst uses mathematical models to solve problems in business and industry. This course covers many of the tools and techniques used by Operations Research Analysts to do their work, therefore completing it may be useful in terms of building a foundation for this career.

See salaries and explore the career path for Operations Research Analyst

Statistician

A Statistician uses statistical methods to analyze data. This course covers many of the tools and techniques used by Statisticians to do their work, therefore completing it may be useful in terms of building a foundation for this career.

See salaries and explore the career path for Statistician

Actuary

An Actuary uses mathematical and statistical methods to assess risk and uncertainty. This course covers many of the tools and techniques used by Actuaries to do their work, therefore completing it may be useful in terms of building a foundation for this career.

See salaries and explore the career path for Actuary

Financial Analyst

A Financial Analyst uses financial data to make recommendations for investments. This course covers many of the tools and techniques used by Financial Analysts to do their work, therefore completing it may be useful in terms of building a foundation for this career.

See salaries and explore the career path for Financial Analyst

Market Research Analyst

A Market Research Analyst uses data to understand the needs of consumers. This course covers many of the tools and techniques used by Market Research Analysts to do their work, therefore completing it may be useful in terms of building a foundation for this career.

See salaries and explore the career path for Market Research Analyst

Data Journalist

A Data Journalist uses data to tell stories. This course covers many of the tools and techniques used by Data Journalists to do their work, therefore completing it may be useful in terms of building a foundation for this career.

See salaries and explore the career path for Data Journalist

Database Administrator

A Database Administrator designs, builds, and maintains databases. This course covers many of the tools and techniques used by Database Administrators to do their work, therefore completing it may be useful in terms of building a foundation for this career.

See salaries and explore the career path for Database Administrator

Computer Network Architect

A Computer Network Architect designs, builds, and maintains computer networks. This course covers many of the tools and techniques used by Computer Network Architects to do their work, therefore completing it may be useful in terms of building a foundation for this career.

See salaries and explore the career path for Computer Network Architect

Information Security Analyst

An Information Security Analyst protects data from unauthorized access, use, disclosure, disruption, modification, or destruction. This course covers many of the tools and techniques used by Information Security Analysts to do their work, therefore completing it may be useful in terms of building a foundation for this career.

See salaries and explore the career path for Information Security Analyst

Reading list

We've selected 15 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 Data Science on Google Cloud.

Architecting Data and Machine Learning Platforms

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Is the basis for this MOOC series. It will provide students supplemental materials and readings for each of the chapters covered in this course.

Data Science on Google Cloud

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