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Exploring and Preparing your Data with BigQuery

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.

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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

Exploring your Data with SQL

BigQuery Pricing

Cleaning and Transforming Your Data

Course Summary

Course Resources

Good to know

Know what's good

, what to watch for

, 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

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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 Exploring and Preparing your Data with BigQuery with these activities:

Review course materials

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Provides an opportunity to reinforce key concepts and identify areas where you need further clarification.

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Review lecture notes and slides.
Complete practice exercises and quizzes.
Participate in discussion forums.

Practice writing SQL

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Improves your ability to use SQL to query data.

Browse courses on SQL

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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

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Provides a guided introduction to the capabilities and features of BigQuery.

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Find a tutorial on BigQuery.
Complete the tutorial.
Explore the BigQuery documentation.

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Analyze datasets with Dataprep

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Helps you become proficient in using Dataprep to clean and transform data.

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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

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Exposes you to experienced professionals who can provide guidance and support.

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Attend industry events and conferences.
Join online communities and forums.
Reach out to professionals in your network.

Create a data visualization

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Encourages you to apply what you have learned to create a meaningful data visualization that could be used to communicate insights from your analysis.

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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

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Challenges you to apply the concepts you have learned to a real-world data analysis problem.

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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

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Forces you to apply your skills to solve challenging problems and benchmark your progress against others.

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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

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

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

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

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

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.

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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.

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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.

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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.

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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.

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Reading list

We've selected 14 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.

Discovering SQL

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Provides a comprehensive overview of Google Cloud Platform (GCP) big data services, including BigQuery, Cloud Dataflow, and Cloud Bigtable.

Exploring and Preparing your Data with BigQuery

What's inside

Syllabus

Good to know

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Activities

Career center

Reading list

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