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Working with Cloud Dataprep on Google Cloud

Google Cloud Training

Cloud Dataprep is Google's self-service data preparation tool. In this lab, you will learn how to use Cloud Dataprep to clean and enrich multiple datasets using a mock use case scenario of customer info and purchase history.

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What's inside

Syllabus

Working with Cloud Dataprep on Google Cloud

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Develops data preparation skills, which are core skills for many jobs in data science
Taught by Google Cloud Training, who are recognized for their work in cloud computing
Uses real-world datasets, which help learners see how data preparation is applied in practice
Teaches skills that are highly relevant to industry
Offers hands-on labs, which provide learners with practical experience

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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 Working with Cloud Dataprep on Google Cloud with these activities:
Review basic data cleaning and transformation concepts
Sharpen your foundational knowledge of data cleaning and transformation concepts to enhance your understanding of Cloud Dataprep's capabilities.
Browse courses on Data Cleaning
Show steps
  • Review online articles or books on data cleaning and transformation.
  • Complete tutorials or practice exercises on basic data cleaning tasks.
  • Understand the different data transformation techniques and their applications.
Seek mentorship from an experienced Cloud Dataprep user
Accelerate your progress by connecting with an experienced Cloud Dataprep user who can provide valuable insights and support.
Show steps
  • Identify potential mentors within your network or online communities.
  • Reach out and introduce yourself, expressing your interest in mentorship.
  • Establish regular communication channels.
  • Seek guidance and advice on your Cloud Dataprep projects.
Attend a Cloud Dataprep training session
Gain deeper insights into Cloud Dataprep's features and capabilities by attending a guided training session led by experienced instructors.
Show steps
  • Identify and register for an upcoming Cloud Dataprep training session.
  • Attend the session and actively participate in the discussions.
  • Take notes and ask questions to clarify any concepts.
  • Apply what you learned in your own Cloud Dataprep projects.
Five other activities
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Complete Cloud Dataprep practice exercises
Solidify your understanding of Cloud Dataprep's functionality by completing practice exercises that mirror real-world scenarios.
Show steps
  • Access the Cloud Dataprep practice exercises.
  • Follow the instructions for each exercise.
  • Review your results and identify areas for improvement.
  • Repeat the exercises until you feel confident in your skills.
Build a Cloud Dataprep data pipeline for a real-world use case
Demonstrate your mastery of Cloud Dataprep by designing and implementing a data pipeline that addresses a specific business need.
Show steps
  • Identify a real-world data challenge or problem.
  • Design a Cloud Dataprep data pipeline to address the challenge.
  • Use Cloud Dataprep to implement the pipeline.
  • Evaluate the results and refine the pipeline as needed.
Participate in a Cloud Dataprep hackathon or competition
Challenge yourself and showcase your skills by participating in a Cloud Dataprep hackathon or competition, where you can collaborate with others and develop innovative solutions.
Show steps
  • Identify and register for a relevant Cloud Dataprep hackathon or competition.
  • Form a team or work independently to develop a creative solution.
  • Use Cloud Dataprep to clean, transform, and analyze data effectively.
  • Present your solution and compete for prizes and recognition.
Contribute to Cloud Dataprep's open-source community
Make a meaningful impact on the Cloud Dataprep community by contributing to its open-source projects and initiatives.
Show steps
  • Identify areas where you can contribute to the Cloud Dataprep open-source community.
  • Join the community and connect with other contributors.
  • Review the codebase and identify potential contributions.
  • Submit pull requests or create new issues to share your contributions.
Mentor a junior data engineer on Cloud Dataprep
Enhance your own understanding and leadership skills by sharing your knowledge and supporting a junior data engineer in their journey with Cloud Dataprep.
Show steps
  • Identify a junior data engineer who would benefit from mentorship.
  • Establish regular communication to provide guidance and support.
  • Share your experiences and best practices in using Cloud Dataprep.
  • Review their work and provide constructive feedback.

Career center

Learners who complete Working with Cloud Dataprep on Google Cloud will develop knowledge and skills that may be useful to these careers:
Data Analyst
Data Analysts use data to solve problems and make better decisions. The course 'Working with Cloud Dataprep' provides a foundation in data preparation which is essential for data analysis. By learning how to clean and enrich data, you will be able to prepare data for analysis and insights, making you a more valuable asset to any organization.
See salaries and explore the career path for Data Analyst
Data Engineer
Data Engineers build and maintain data pipelines that deliver data to data analysts and other users. The course 'Working with Cloud Dataprep' provides a foundation in data preparation which is essential for data engineering. By learning how to clean and enrich data, you will be able to build data pipelines that deliver high-quality data to consumers, making you a more valuable asset to any organization.
See salaries and explore the career path for Data Engineer
Data Scientist
Data Scientists use data to build models that predict future outcomes and make recommendations. The course 'Working with Cloud Dataprep' provides a foundation in data preparation which is essential for data science. By learning how to clean and enrich data, you will be able to prepare data for modeling, making you a more valuable asset to any organization.
See salaries and explore the career path for Data Scientist
Data Architect
Data Architects design and build data systems that meet the needs of an organization. The course 'Working with Cloud Dataprep' provides a foundation in data preparation which is essential for data architecture. By learning how to clean and enrich data, you will be able to design data systems that deliver high-quality data to consumers, making you a more valuable asset to any organization.
See salaries and explore the career path for Data Architect
Database Administrator
Database Administrators manage and maintain databases. The course 'Working with Cloud Dataprep' provides a foundation in data preparation which is essential for database administration. By learning how to clean and enrich data, you will be able to maintain databases that deliver high-quality data to consumers, making you a more valuable asset to any organization.
See salaries and explore the career path for Database Administrator
Business Analyst
Business Analysts use data to solve business problems. The course 'Working with Cloud Dataprep' provides a foundation in data preparation which is essential for business analysis. By learning how to clean and enrich data, you will be able to prepare data for analysis and insights, making you a more valuable asset to any organization.
See salaries and explore the career path for Business Analyst
Management Consultant
Management Consultants advise businesses on how to improve their operations and achieve their goals. The course 'Working with Cloud Dataprep' may be useful for Management Consultants who need to use data to support their recommendations. By learning how to clean and enrich data, you will be able to prepare data for analysis and insights, making you a more valuable asset to your clients.
See salaries and explore the career path for Management Consultant
Financial Analyst
Financial Analysts use data to make investment recommendations. The course 'Working with Cloud Dataprep' may be useful for Financial Analysts who need to use data to support their recommendations. By learning how to clean and enrich data, you will be able to prepare data for analysis and insights, making you a more valuable asset to your clients.
See salaries and explore the career path for Financial Analyst
Market Researcher
Market Researchers use data to understand consumer behavior and preferences. The course 'Working with Cloud Dataprep' may be useful for Market Researchers who need to use data to support their research. By learning how to clean and enrich data, you will be able to prepare data for analysis and insights, making you a more valuable asset to your clients.
See salaries and explore the career path for Market Researcher
Product Manager
Product Managers use data to make decisions about product development and marketing. The course 'Working with Cloud Dataprep' may be useful for Product Managers who need to use data to support their decisions. By learning how to clean and enrich data, you will be able to prepare data for analysis and insights, making you a more valuable asset to your organization.
See salaries and explore the career path for Product Manager
Software Engineer
Software Engineers build and maintain software applications. The course 'Working with Cloud Dataprep' may be useful for Software Engineers who need to use data in their applications. By learning how to clean and enrich data, you will be able to prepare data for use in your applications, making you a more valuable asset to your team.
See salaries and explore the career path for Software Engineer
Data Visualization Specialist
Data Visualization Specialists create visualizations that communicate data insights. The course 'Working with Cloud Dataprep' may be useful for Data Visualization Specialists who need to prepare data for visualization. By learning how to clean and enrich data, you will be able to prepare data for visualization, making you a more valuable asset to your team.
See salaries and explore the career path for Data Visualization Specialist
Statistician
Statisticians use data to make inferences about populations. The course 'Working with Cloud Dataprep' may be useful for Statisticians who need to prepare data for statistical analysis. By learning how to clean and enrich data, you will be able to prepare data for analysis, making you a more valuable asset to your team.
See salaries and explore the career path for Statistician
Epidemiologist
Epidemiologists use data to study the distribution and determinants of health-related states or events in specified populations. The course 'Working with Cloud Dataprep' may be useful for Epidemiologists who need to prepare data for epidemiological analysis. By learning how to clean and enrich data, you will be able to prepare data for analysis, making you a more valuable asset to your team.
See salaries and explore the career path for Epidemiologist
Actuary
Actuaries use data to assess risk and uncertainty. The course 'Working with Cloud Dataprep' may be useful for Actuaries who need to prepare data for actuarial analysis. By learning how to clean and enrich data, you will be able to prepare data for analysis, making you a more valuable asset to your team.
See salaries and explore the career path for Actuary

Reading list

We've selected nine 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 Working with Cloud Dataprep on Google Cloud.
Cover image
Visualize This
Save
Provides a comprehensive overview of data preparation techniques and best practices. It valuable resource for learners who want to gain a deeper understanding of the data preparation process.
Visualize This
Paperback
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Visualize This
Kindle Edition
Check
Cover image
Python for Data Analysis
Save
Introduces learners to the fundamentals of data analysis using Python. It covers topics such as data cleaning, data manipulation, and data visualization. The book valuable resource for learners who want to gain hands-on experience with data analysis.
Python for Data Analysis
Paperback
Check
Python for Data Analysis
Kindle Edition
Check
Cover image
Data Science for Business
Save
Provides a comprehensive overview of data science and its applications in business. It covers topics such as data mining, machine learning, and data visualization. The book valuable resource for learners who want to gain a deeper understanding of the role of data science in business.
Data Science for Business: What You Need to Know...
Paperback
$$
Data Science for Business: What You Need to Know...
Kindle Edition
$$
Cover image
Machine Learning with R
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Provides a comprehensive overview of machine learning using R. It covers topics such as supervised learning, unsupervised learning, and data visualization. The book valuable resource for learners who want to gain hands-on experience with machine learning.
Machine Learning with R - Fourth Edition: Learn...
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Machine Learning with R - Second Edition: Expert...
Kindle Edition
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Machine Learning with R - Third Edition: Expert...
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(Italiano) Machine Learning con R: Conoscere le tecniche per...
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R: Unleash Machine Learning Techniques
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Machine Learning with R: Learn How to Use R to...
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(中文) Machine learning and R language (3rd edition of the...
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Data Mining
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Provides a comprehensive overview of data mining techniques and algorithms. It covers topics such as data preprocessing, data mining algorithms, and data visualization. The book valuable resource for learners who want to gain a deeper understanding of data mining.
Data Mining: Practical Machine Learning Tools and...
Paperback
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DATA MINING, 4TH EDITION
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Data Mining: Practical Machine Learning Tools and...
Kindle Edition
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Cover image
The Data Warehouse Toolkit
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Provides a comprehensive overview of data warehousing and dimensional modeling. It covers topics such as data warehousing concepts, dimensional modeling techniques, and data warehousing tools. The book valuable resource for learners who want to gain a deeper understanding of data warehousing.
The Data Warehouse Toolkit
Paperback
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The Data Warehouse Toolkit
Kindle Edition
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Cover image
Data Science from Scratch
Save
Provides a comprehensive overview of data science from scratch. It covers topics such as data science concepts, data science techniques, and data science applications. The book valuable resource for learners who want to gain a deeper understanding of data science.
Data Science from Scratch: First Principles with...
Paperback
$$
Data Science from Scratch: First Principles with...
Kindle Edition
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Data Science from Scratch: First Principles with...
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$$
Cover image
Data Analytics & Visualization All-in-One For...
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Provides a comprehensive overview of machine learning for dummies. It covers topics such as machine learning concepts, machine learning techniques, and machine learning applications. The book valuable resource for learners who want to gain a deeper understanding of machine learning.
Data Analytics & Visualization All-in-One For...
Paperback
$$
Data Analytics & Visualization All-in-One For...
Kindle Edition
$$
Cover image
Business Skills All-in-One For Dummies
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Provides a comprehensive overview of data science for dummies. It covers topics such as data science concepts, data science techniques, and data science applications. The book valuable resource for learners who want to gain a deeper understanding of data science.
Business Skills All-in-One For Dummies
Paperback
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Business Skills All-in-One For Dummies
Kindle Edition
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Course image
Effort
1 hour
Level
Introductory
Via
Coursera
Institution
Google Cloud
Instructor
Google Cloud Training
Language
English
Good to know
Develops data preparation skills, which are core skills for many jobs in data science
Taught by Google Cloud Training, who are recognized for their work in cloud computing
Uses real-world datasets, which help learners see how data preparation is applied in practice
Teaches skills that are highly relevant to industry
Offers hands-on labs, which provide learners with practical experience
Share and help others discover this course.
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