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Google Cloud Training
This is a self-paced lab that takes place in the Google Cloud console.
Dataprep by Trifacta is Google's self-service data preparation tool built in collaboration with Trifacta. In this lab you will learn some more advanced techniques with Dataprep.
Register for this course and see more details by visiting:
OpenCourser.com/course/m6tcap/preparing
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What's inside
Syllabus
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Read about what's good
what should give you pause and
possible dealbreakers
Builds on foundational knowledge, which suits learners with a background in data preparation
Taught by Google Cloud Training, a recognized leader in the field of data preparation
Teaches advanced data preparation techniques, which are highly relevant in the field of data science
Uses a self-paced lab format, which provides a flexible learning experience
May require learners to have some familiarity with data preparation tools
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Reviews summary
Hands-on cloud dataprep for visualization
According to students, this course offers a largely practical and hands-on approach to data preparation and aggregation techniques using Cloud Dataprep, specifically tailored for visualizations. Learners consistently praise the well-structured labs for their clear instructions and direct applicability to real-world data tasks. The self-paced format is highly valued for flexibility. While many find it invaluable for skill development, a common point of contention is whether the content truly delivers on its 'advanced' promise, with some experienced users finding it more foundational than challenging. Minor critiques also include occasional lab environment lags.
Excellent for those new to Dataprep, potentially basic for experts.
"Good for absolute beginners to the tool, though."
"I felt some of the 'advanced' techniques could have been explored in more depth or with more challenging datasets. Still, very useful for practical application."
"I needed more theoretical background on *why* certain aggregations are chosen, as the labs focus more on 'how' to do things."
Course provides clear instructions and a well-organized structure.
"The practical exercises are very well-structured and directly applicable to real-world data preparation tasks."
"As a data analyst, this lab was invaluable. The steps were clear, and the environment worked perfectly."
"The structured approach to cleaning and aggregating data for viz is superb."
Offers excellent hands-on experience for real-world data tasks.
"Absolutely brilliant for practical application. The structured approach to cleaning and aggregating data for viz is superb. The hands-on labs solidify understanding..."
"Excellent hands-on lab for anyone looking to master Cloud Dataprep. The practical exercises are very well-structured and directly applicable to real-world data preparation tasks."
"As a data analyst, this lab was invaluable. I learned how to efficiently clean and prepare data for visualizations, which is a key part of my job."
Occasional reports of lab environment lag or technical glitches.
"My only minor gripe is that sometimes the lab environment lagged a bit, but that's likely a platform issue, not the course itself."
"While the steps were clear, I did encounter some minor technical glitches in the lab environment that slowed me down slightly."
Some find 'advanced' techniques less in-depth than expected.
"However, I felt some of the 'advanced' techniques could have been explored in more depth or with more challenging datasets."
"It's an okay introduction to Dataprep, but calling it 'advanced' is a stretch. I was hoping for more complex scenarios or troubleshooting tips."
"Found this lab somewhat disappointing. While it covers Dataprep basics, it didn't really deepen my understanding of 'advanced' aggregation techniques as promised."
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 Preparing and Aggregating Data for Visualizations using Cloud Dataprep with these
activities:
Guided Tutorial on Advanced Data Preparation Techniques
Show steps
Following guided tutorials can help you sharpen your skills on more advanced data preparation techniques.
Show steps
-
Identify a curated list of guided tutorials on advanced data preparation techniques using Dataprep.
-
Follow the tutorials step by step, practicing the techniques demonstrated.
Show all one activities
Guided Tutorial on Advanced Data Preparation Techniques
Show steps
Following guided tutorials can help you sharpen your skills on more advanced data preparation techniques.
Show steps
Show steps
Show steps
- Identify a curated list of guided tutorials on advanced data preparation techniques using Dataprep.
- Follow the tutorials step by step, practicing the techniques demonstrated.
Show all one activities
Career center
Learners who complete Preparing and Aggregating Data for Visualizations using Cloud Dataprep will develop knowledge and skills
that may be useful to these careers:
Data Scientist
Data Scientist
A Data Scientist uses scientific methods to extract knowledge from data. They develop and implement machine learning models to solve business problems. To succeed in this career, it is important to have strong data analysis and machine learning skills. Dataprep by Trifacta is a self-service data preparation tool that can help you clean, transform, and aggregate data. This course can help you gain the skills you need to succeed as a Data Scientist, including how to use Dataprep to prepare and aggregate data for machine learning models.
Data Analyst
Data Analyst
A Data Analyst examines data to identify patterns and trends. They present their findings to stakeholders to inform business decisions. To succeed in this career, it is important to have strong data analysis skills. Dataprep by Trifacta is a self-service data preparation tool that can help you clean, transform, and aggregate data. This course can help you gain the skills you need to succeed as a Data Analyst, including how to use Dataprep to prepare and aggregate data for visualizations.
Data Engineer
Data Engineer
A Data Engineer designs, builds, and maintains data pipelines. They ensure that data is clean, consistent, and accessible to data analysts and data scientists. To succeed in this career, it is important to have strong data engineering skills. Dataprep by Trifacta is a self-service data preparation tool that can help you clean, transform, and aggregate data. This course can help you gain the skills you need to succeed as a Data Engineer, including how to use Dataprep to prepare and aggregate data for data pipelines.
Business Analyst
Business Analyst
A Business Analyst helps businesses solve problems and make better decisions. They analyze data to identify opportunities and risks. To succeed in this career, it is important to have strong data analysis and communication skills. Dataprep by Trifacta is a self-service data preparation tool that can help you clean, transform, and aggregate data. This course can help you gain the skills you need to succeed as a Business Analyst, including how to use Dataprep to prepare and aggregate data for presentations.
Statistician
Statistician
A Statistician collects, analyzes, and interprets data. They help businesses make informed decisions based on data. To succeed in this career, it is important to have strong data analysis and statistical skills. Dataprep by Trifacta is a self-service data preparation tool that can help you clean, transform, and aggregate data. This course can help you gain the skills you need to succeed as a Statistician, including how to use Dataprep to prepare and aggregate data for statistical analysis.
Operations Research Analyst
Operations Research Analyst
An Operations Research Analyst uses mathematical models to solve business problems. They help businesses optimize their operations and make better decisions. To succeed in this career, it is important to have strong analytical and problem-solving skills. Dataprep by Trifacta is a self-service data preparation tool that can help you clean, transform, and aggregate data. This course can help you gain the skills you need to succeed as an Operations Research Analyst, including how to use Dataprep to prepare and aggregate data for mathematical models.
Product Manager
Product Manager
A Product Manager is responsible for the development and launch of new products. They work with engineers, designers, and marketers to bring new products to market. To succeed in this career, it is important to have strong business acumen and product development skills. Dataprep by Trifacta is a self-service data preparation tool that can help you clean, transform, and aggregate data. This course can help you gain the skills you need to succeed as a Product Manager, including how to use Dataprep to prepare and aggregate data for product development.
Marketing Analyst
Marketing Analyst
A Marketing Analyst analyzes data to understand customer behavior and trends. They develop and implement marketing campaigns to reach target audiences. To succeed in this career, it is important to have strong data analysis and marketing skills. Dataprep by Trifacta is a self-service data preparation tool that can help you clean, transform, and aggregate data. This course can help you gain the skills you need to succeed as a Marketing Analyst, including how to use Dataprep to prepare and aggregate data for marketing campaigns.
Financial Analyst
Financial Analyst
A Financial Analyst analyzes financial data to make investment recommendations. They help businesses make informed decisions about how to allocate their resources. To succeed in this career, it is important to have strong data analysis and financial skills. Dataprep by Trifacta is a self-service data preparation tool that can help you clean, transform, and aggregate data. This course can help you gain the skills you need to succeed as a Financial Analyst, including how to use Dataprep to prepare and aggregate data for financial analysis.
Database Administrator
Database Administrator
A Database Administrator is responsible for the maintenance and performance of databases. They ensure that data is secure and accessible to users. To succeed in this career, it is important to have strong database administration skills. Dataprep by Trifacta is a self-service data preparation tool that can help you clean, transform, and aggregate data. This course can help you gain the skills you need to succeed as a Database Administrator, including how to use Dataprep to prepare and aggregate data for database optimization.
Data Visualization Specialist
Data Visualization Specialist
A Data Visualization Specialist creates visual representations of data. They help businesses communicate data insights to stakeholders. To succeed in this career, it is important to have strong data visualization and communication skills. Dataprep by Trifacta is a self-service data preparation tool that can help you clean, transform, and aggregate data. This course can help you gain the skills you need to succeed as a Data Visualization Specialist, including how to use Dataprep to prepare and aggregate data for visualizations.
Technical Writer
Technical Writer
A Technical Writer creates documentation that explains technical concepts to users. They work with engineers and other technical staff to produce clear and concise documentation. To succeed in this career, it is important to have strong writing and technical skills. Dataprep by Trifacta is a self-service data preparation tool that can help you clean, transform, and aggregate data. This course can help you gain the skills you need to succeed as a Technical Writer, including how to use Dataprep to prepare and aggregate data for documentation.
Software Engineer
Software Engineer
A Software Engineer designs, builds, and maintains software applications. They work with other engineers and stakeholders to develop and implement software solutions. To succeed in this career, it is important to have strong software engineering skills. Dataprep by Trifacta is a self-service data preparation tool that can help you clean, transform, and aggregate data. This course may help you gain the skills you need to succeed as a Software Engineer, including how to use Dataprep to prepare and aggregate data for software development.
Quality Assurance Tester
Quality Assurance Tester
A Quality Assurance Tester tests software applications to ensure they meet quality standards. They work with other engineers and stakeholders to identify and fix bugs. To succeed in this career, it is important to have strong testing and debugging skills. Dataprep by Trifacta is a self-service data preparation tool that can help you clean, transform, and aggregate data. This course may help you gain the skills you need to succeed as a Quality Assurance Tester, including how to use Dataprep to prepare and aggregate data for testing.
Information Security Analyst
Information Security Analyst
An Information Security Analyst protects computer systems from unauthorized access, use, disclosure, disruption, modification, or destruction. They work with other security professionals to develop and implement security measures. To succeed in this career, it is important to have strong information security skills. Dataprep by Trifacta is a self-service data preparation tool that can help you clean, transform, and aggregate data. This course may help you gain the skills you need to succeed as an Information Security Analyst, including how to use Dataprep to prepare and aggregate data for security analysis.
For more career information including salaries, visit:
OpenCourser.com/course/m6tcap/preparing
Reading list
We've selected eight 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
Preparing and Aggregating Data for Visualizations using Cloud Dataprep.
Save
Is an excellent reference on the design of data dashboards and provides examples and best practices. It may be particularly helpful for learners who want to take their data preparation skills a step further toward data visualization and dashboard production.
Save
This classic and authoritative book provides a comprehensive and nuanced exploration of data visualization techniques and principles. provides more depth and breadth to the topic of data visualization and is an excellent resource.
Save
This textbook provides a practical, hands-on approach to data science using the R programming language. It is written for a beginner audience and may be a helpful resource for implementing some of the data preparation concepts explored in this course.
This textbook is written as a guide to practical data preparation techniques using the Python programming language. It provides a practical, hands-on approach and may be a helpful resource for implementing some of the data preparation concepts explored in this course.
This textbook provides a practical, hands-on approach to data preparation techniques using the R programming language. It is written for a beginner audience and may be a helpful resource for implementing some of the data preparation concepts explored in this course.
Save
This helpful and timely book introduces and explores the practice of effective data storytelling. It provides background and context for the field and is particularly valuable for its practical advice.
This textbook provides a practical, hands-on approach to data analysis using Python. It is written for readers with little or no prior programming knowledge.
Save
This textbook introduces and covers practical applications of data visualization techniques. It is very practical and to-the-point in its examples and explanations and may be helpful in getting started with data visualization as a complement to this course.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/m6tcap/preparing
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