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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.
Register for this course and see more details by visiting:
OpenCourser.com/course/i014vl/working
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What's inside
Syllabus
Working with Cloud Dataprep on Google Cloud
Good to know
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
Save this course
Save Working with Cloud Dataprep on Google Cloud to your list so you can find it easily later:
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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
Show steps
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
Show steps
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
Show steps
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
Expand to see all activities and additional details
Show all eight activities
Complete Cloud Dataprep practice exercises
Show steps
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
Show steps
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
Show steps
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
Show steps
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
Show steps
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.
Review basic data cleaning and transformation concepts
Show steps
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
Show steps
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
Show steps
Accelerate your progress by connecting with an experienced Cloud Dataprep user who can provide valuable insights and support.
Show steps
Show steps
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
Show steps
Gain deeper insights into Cloud Dataprep's features and capabilities by attending a guided training session led by experienced instructors.
Show steps
Show steps
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
Expand to see all activities and additional details
Show all eight activities
Complete Cloud Dataprep practice exercises
Show steps
Solidify your understanding of Cloud Dataprep's functionality by completing practice exercises that mirror real-world scenarios.
Show steps
Show steps
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
Show steps
Demonstrate your mastery of Cloud Dataprep by designing and implementing a data pipeline that addresses a specific business need.
Show steps
Show steps
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
Show steps
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
Show steps
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
Show steps
Make a meaningful impact on the Cloud Dataprep community by contributing to its open-source projects and initiatives.
Show steps
Show steps
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
Show steps
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
Show steps
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 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.
Data Engineer
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.
Data Scientist
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.
Data Architect
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.
Database Administrator
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.
Business Analyst
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.
Management Consultant
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.
Financial Analyst
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.
Market Researcher
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.
Product Manager
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.
Software Engineer
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.
Data Visualization Specialist
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.
Statistician
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.
Epidemiologist
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.
Actuary
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.
For more career information including salaries, visit:
OpenCourser.com/course/i014vl/working
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.
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.
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.
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.
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.
Save
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.
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.
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.
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.
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.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/i014vl/working
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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
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