OpenCourser brand icon
Sign in
We may earn an affiliate commission when you visit our partners.
Course Discontinued We've found some alternatives for you:

Top Active Alternatives

Exploring and Preparing your Data with BigQuery is no longer accepting new enrollments. We've matched the highest-rated active courses in this subject:

Read Reviews → Enroll Active
Read Reviews → Enroll Active
Read Reviews → Enroll Active
Pluralsight logo

Exploring and Preparing your Data with BigQuery

Google Cloud

In this course, we see what the common challenges faced by data analysts are and how to solve them with the big data tools on Google Cloud.

In this course, we see what the common challenges faced by data analysts are and how to solve them with the big data tools on Google Cloud. You’ll pick up some SQL along the way and become very familiar with using BigQuery and Dataprep to analyze and transform your datasets. This is the first course of the From Data to Insights with Google Cloud series. After completing this course, enroll in the Creating New BigQuery Datasets and Visualizing Insights course.

This course is no longer available. Find something similar by browsing:
BigQuery Data Analysis SQL Data Transformation Data Cleaning

What's inside

Syllabus

Welcome to From Data to Insights with Google Cloud - Exploring and Preparing your Data
Introduction to Data on Google Cloud
Big Data Tools Overview
Read more

Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Uses BigQuery, a widely adopted tool in the data industry, for analysis and transformation of datasets
Develops proficiency in SQL, a key skill for data analysts
Provides a foundation for a series on data insights with Google Cloud
Addresses common challenges faced by data analysts
Taught by Google Cloud instructors, showcasing the expertise of the platform's creators

Save this course

Create your own learning path. Save this course to your list so you can find it easily later.
Save

Reviews summary

Bigquery & dataprep for data preparation

According to learners, this course provides a strong foundation in exploring and preparing data using Google Cloud's BigQuery and Dataprep. Students consistently highlight the practical, hands-on approach, finding the labs and SQL concepts particularly useful for data analysis. It's often recommended as an excellent introduction for those navigating common data challenges within the GCP ecosystem. While generally perceived as a solid starting point in the "From Data to Insights" series, some suggest the pace and depth might vary depending on individual prior experience. Overall, it effectively prepares students for further studies in big data.
Excellent first step in the Google Cloud big data learning path.
"It's a great starting point for anyone new to big data on Google Cloud, providing a clear roadmap."
"As the first in the series, it built a strong base for understanding subsequent, more complex courses."
"I appreciated how it laid the groundwork clearly before diving into more advanced topics later on."
Content is highly relevant to current data analysis and preparation tasks.
"I found the data tools and techniques covered to be highly relevant to my daily work as a data analyst."
"The methods demonstrated are exactly what I needed for practical, real-world data preparation tasks."
"The course materials are up-to-date with BigQuery's current features, making it very applicable."
Solid introduction to BigQuery and essential SQL for data exploration.
"I gained a much better grasp of BigQuery's capabilities and how to query large datasets efficiently."
"The SQL content was perfectly tailored for getting started with cloud-based data exploration."
"This course helped me understand BigQuery pricing and how to optimize my queries effectively."
Offers practical, lab-based experience using BigQuery and Dataprep.
"The hands-on exercises really solidified my understanding of BigQuery operations."
"I found the labs on data preparation with Dataprep incredibly useful for real-world application."
"This course delivers actionable skills to tackle common data challenges effectively."
Course pace and depth may vary for learners with different backgrounds.
"I felt some topics could have been explored in greater detail to truly master them."
"For someone completely new to SQL or cloud, the pace might feel a bit fast at times, requiring replays."
"While comprehensive for beginners, I think advanced users might find parts of it too introductory."

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 Exploring and Preparing your Data with BigQuery with these activities:
Review course materials
Provides an opportunity to reinforce key concepts and identify areas where you need further clarification.
Show steps
  • Review lecture notes and slides.
  • Complete practice exercises and quizzes.
  • Participate in discussion forums.
Practice writing SQL
Improves your ability to use SQL to query data.
Browse courses on SQL
Show steps
  • Create a table of data.
  • Write a query to select specific columns of data.
  • Write a query to filter data based on specific criteria.
  • Write a query to group data and calculate aggregate values.
  • Write a query to join two or more tables.
Learn about BigQuery
Provides a guided introduction to the capabilities and features of BigQuery.
Browse courses on BigQuery
Show steps
  • Find a tutorial on BigQuery.
  • Complete the tutorial.
  • Explore the BigQuery documentation.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Analyze datasets with Dataprep
Helps you become proficient in using Dataprep to clean and transform data.
Browse courses on Dataprep
Show steps
  • Import a dataset into Dataprep.
  • Clean the data by removing duplicates and fixing errors.
  • Transform the data by creating new columns and modifying existing ones.
  • Analyze the data using visualizations and statistical functions.
Connect with data professionals
Exposes you to experienced professionals who can provide guidance and support.
Show steps
  • Attend industry events and conferences.
  • Join online communities and forums.
  • Reach out to professionals in your network.
Create a data visualization
Encourages you to apply what you have learned to create a meaningful data visualization that could be used to communicate insights from your analysis.
Browse courses on Data Visualization
Show steps
  • Choose a dataset to visualize.
  • Select the appropriate chart or graph type for your data.
  • Create the visualization using a tool such as Google Data Studio or Tableau.
  • Interpret the results and draw insights from your visualization.
Develop a data analysis project
Challenges you to apply the concepts you have learned to a real-world data analysis problem.
Browse courses on Data Science Project
Show steps
  • Identify a business problem that can be solved using data analysis.
  • Gather and clean the necessary data.
  • Analyze the data using the techniques you have learned.
  • Develop insights and recommendations based on your analysis.
  • Communicate your findings to stakeholders.
Participate in data science competitions
Forces you to apply your skills to solve challenging problems and benchmark your progress against others.
Show steps
  • Identify a competition that aligns with your interests and skill level.
  • Form a team or work individually.
  • Gather and analyze the data.
  • Develop a model or solution.
  • Submit your solution and track your progress.

Career center

Learners who complete Exploring and Preparing your Data with BigQuery will develop knowledge and skills that may be useful to these careers:
Data Analyst
Data Analysts design, develop and implement automated systems to collect, process and analyze large data sets. The insights derived from their work play a vital role in business decision-making. This course can help teach you about data analysis and you will also learn SQL (Structured Query Language) which is used to interpret data. Learning SQL will be very helpful to you in this field. Another key skill taught in this course is the use of BigQuery and DataPrep to analyze and interpret large data sets.
See salaries and explore the career path for Data Analyst
Data Scientist
Data Scientists analyze, interpret, and communicate data with a focus on extracting insights and knowledge. They build models and algorithms to solve business problems and optimize decision-making. This course can help teach you about the skills needed in this field, including the use of SQL, BigQuery and DataPrep. This course is part of a series called 'From Data to Insights with Google Cloud'.
See salaries and explore the career path for Data Scientist
Data Engineer
Data Engineers design, build, and maintain data systems that support data-driven decision-making. They ensure the availability, reliability, and performance of data pipelines and infrastructure. This course can teach you about data engineering and you will learn the use of SQL in this process.
See salaries and explore the career path for Data Engineer
Machine Learning Engineer
Machine Learning Engineers build, deploy, and maintain machine learning models to solve business problems. They collaborate with data scientists and software engineers to bring machine learning solutions to life. This course can help build a foundation for a career in this field, especially with its focus on the use of SQL.
See salaries and explore the career path for Machine Learning Engineer
Business Analyst
Business Analysts use data to understand business needs and make recommendations for improvements. The insights they provide help organizations make informed decisions and optimize their operations. This course can teach you how to better analyze data, using the skills of SQL, BigQuery and DataPrep.
See salaries and explore the career path for Business Analyst
Database Administrator
Database Administrators ensure the availability, performance, and security of databases. They design, implement, and maintain database systems to meet the needs of organizations. This course can help build a foundation for a career in this field, as you will learn essential skills such as SQL and data analysis.
See salaries and explore the career path for Database Administrator
Information Security Analyst
Information Security Analysts protect organizations from cyber threats and data breaches. They implement and maintain security measures to ensure the confidentiality, integrity, and availability of data. This course may be helpful as it offers foundational skills in data analysis and the use of SQL, which can be valuable in this field.
See salaries and explore the career path for Information Security Analyst
Data Architect
Data Architects design and manage data systems that meet the needs of organizations. They ensure the efficient and effective use of data to support business objectives. This course will provide you with foundational knowledge and skills in data analysis and SQL.
See salaries and explore the career path for Data Architect
Software Developer
Software Developers design, develop, and maintain software applications. They use programming languages and tools to create software that meets the needs of users. This course may be helpful as it includes foundational skills in data analysis and the use of SQL. These skills are beneficial in a variety of software development roles.
See salaries and explore the career path for Software Developer
Data Visualization Analyst
Data Visualization Analysts create visual representations of data to communicate insights and trends. They use data visualization tools and techniques to make data more accessible and understandable. This course may be helpful as it includes foundational skills in data analysis and the use of SQL, which are valuable in this field.
See salaries and explore the career path for Data Visualization Analyst
Product Manager
Product Managers are responsible for the development and management of products. They work with cross-functional teams to define product requirements, prioritize features, and ensure customer satisfaction. This course may be helpful as it includes foundational skills in data analysis and the use of SQL, which are valuable in this role.
See salaries and explore the career path for Product Manager
Project Manager
Project Managers plan, execute, and close projects. They work with stakeholders to define project scope, timelines, and budgets. This course may be helpful as it includes foundational skills in data analysis and the use of SQL, which can provide valuable insights for effective project management.
See salaries and explore the career path for Project Manager
Quality Assurance Analyst
Quality Assurance Analysts test software and systems to ensure they meet specifications and quality standards. They use testing tools and techniques to identify and resolve defects. This course may be helpful as it includes foundational skills in data analysis and the use of SQL, which can provide valuable insights for effective quality assurance.
See salaries and explore the career path for Quality Assurance Analyst
Market Researcher
Market Researchers collect and analyze data to understand market trends and consumer behavior. They use research methods and tools to gather insights that inform product development, marketing campaigns, and business decisions. This course may be helpful as it includes foundational skills in data analysis and the use of SQL, which can provide valuable insights for effective market research.
See salaries and explore the career path for Market Researcher
Technical Writer
Technical Writers create and maintain user manuals, technical documentation, and other materials that explain complex technical concepts and products. This course may be helpful as it includes foundational skills in data analysis and the use of SQL, which can provide valuable insights for creating clear and effective technical documentation.
See salaries and explore the career path for Technical Writer

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 Exploring and Preparing your Data with BigQuery.
Cover image
Data Science from Scratch
Save
Provides a comprehensive overview of data science, covering the entire data science workflow from data collection to model deployment. It valuable resource for those who want to build a strong foundation in data science.
Data Science from Scratch: First Principles with...
Paperback
$$
Data Science from Scratch: First Principles with...
Kindle Edition
$$
Data Science from Scratch: First Principles with...
Paperback
$$
Cover image
Internet of Things: A Hands-On Approach
Save
Provides practical guidance on using Apache Spark for big data processing in cloud environments. It covers various aspects of Spark, including cluster management, data ingestion, and real-time analytics.
Internet of Things (A Hands-on-Approach)
Paperback
$$
Internet of Things: A Hands- on Approach
Paperback
$$
Cover image
Big Data Analytics with Java
Save
Provides a comprehensive guide to using Java, Hadoop, and Spark for big data analysis, with a focus on using BigQuery as a data source.
Big Data Analytics with Java: Data analysis,...
Paperback
$$$
Big Data Analytics with Java: Data analysis,...
Kindle Edition
$$
Cover image
Build a Career in Data Science
Save
Provides a gentle introduction to data analysis, with a focus on practical tips and techniques.
Build a Career in Data Science
Paperback
$$
Build a Career in Data Science
Kindle Edition
$$
Cover image
Drawing Codes
Save
Provides a gentle introduction to machine learning, with a focus on practical tips and techniques.
Drawing Codes: Experimental Protocols of...
Hardcover
$$
Cover image
Deep Learning
Save
Provides a gentle introduction to deep learning, with a focus on practical tips and techniques.
Deep Learning
Paperback
$$$
Deep Learning (Adaptive Computation and Machine...
Hardcover
$$$
Deep Learning (Adaptive Computation and Machine...
Kindle Edition
$$$
Cover image
Cross-Lingual Word Embeddings
Save
Provides a gentle introduction to natural language processing, with a focus on practical tips and techniques.
Cross-Lingual Word Embeddings (Synthesis Lectures...
Paperback
$$
Cover image
The New Fire
Save
Provides a gentle introduction to computer vision, with a focus on practical tips and techniques.
The New Fire: War, Peace, and Democracy in the Age...
Paperback
$$
The New Fire: War, Peace, and Democracy in the Age...
Kindle Edition
$$
Cover image
Forecasting
Save
Provides a gentle introduction to time series analysis, with a focus on practical tips and techniques.
Forecasting: Principles and Practice
Paperback
$$$
Forecasting: principles and practice
Paperback
$$$
Forecasting: principles and practice
Paperback
$$$

Share

Help others find this course page by sharing it with your friends and followers:
Facebook
LinkedIn
Reddit
X
Link
Email

Similar courses

Here are nine courses similar to Exploring and Preparing your Data with BigQuery.
Connected Sheets: Qwik Start
Most relevant
Data Cleaning in Snowflake: Techniques to Clean Messy Data
Most relevant
Exploring ​and ​Preparing ​your ​Data with BigQuery
Most relevant
Process Data from Dirty to Clean
Most relevant
Analyzing Natality Data Using Vertex AI and BigQuery
Most relevant
Using BigQuery in the Google Cloud Console
Most relevant
Extract, Transform, and Load Data
Most relevant
Data Analysts Toolbox: Excel, Python, Power BI,...
Most relevant
Data Analytics Career Path: 72 Days of Data Analyst...
Most relevant

Pluralsight Buyer Protection & Guarantee

Verified partner policies & purchase protections

Enterprise Technology Platform
Free Trial & Audit

10-Day Free Trial

10-day free trial (up to 200 minutes of content) with access to the Skills video library and skill assessments. Cancel before day 10 to avoid automatic conversion.

Return & Refund Policy

Cancel Anytime (Non-Refundable Once Billed)

Cancel easily online anytime before the 10-day trial expires to prevent billing. Once subscription fees are paid, individual subscriptions are non-refundable (cancellation stops future renewals).

Buyer Protections

Verified Academic & Industry Partner

Skill IQ and Role IQ diagnostic benchmark assessments, hands-on lab environments, and curated learning paths designed by technology leaders.

Key Purchase Protections
10-day free trial on individual Skills plans
Skill IQ assessments to benchmark proficiency
Cancel anytime online before trial ends without fees
Hands-on interactive labs and enterprise-grade tech content
OpenCourser Verified Partner Policy details last reviewed: 2026-10-22
Course image
Time
143 hours
Level
Introductory
Via
Pluralsight
Instructor
Google Cloud
Language
English
Traffic lights
Read about what's good
what should give you pause
and possible dealbreakers
Uses BigQuery, a widely adopted tool in the data industry, for analysis and transformation of datasets
Develops proficiency in SQL, a key skill for data analysts
Provides a foundation for a series on data insights with Google Cloud
Addresses common challenges faced by data analysts
Taught by Google Cloud instructors, showcasing the expertise of the platform's creators
Share this
Share to help others discover this course.
Facebook LinkedIn X Reddit Link Email
Begin learning today
This course is currently discontinued or unavailable. See active alternatives above.
Course Unavailable
Save for later
Add this course to your list. Find it anytime.
Save
Our mission

OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.

Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.

Find this site helpful? Tell a friend about us.

Affiliate disclosure

We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.

Your purchases help us maintain our catalog and keep our servers humming without ads.

Thank you for supporting OpenCourser.

© 2016 - 2025 OpenCourser