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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.

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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
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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
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.
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'.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.

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.
Provides a comprehensive overview of Google Cloud Platform (GCP) big data services, including BigQuery, Cloud Dataflow, and Cloud Bigtable.
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.
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.
Focuses on data preparation, a critical aspect of data analysis. It covers various techniques and tools for cleaning, transforming, and manipulating data, making it valuable for understanding the processes involved in preparing data for analysis.
Provides a comprehensive guide to using Python and Pandas for data analysis, with a focus on using BigQuery as a data source.
Provides a comprehensive introduction to data science, with a focus on business applications.
Provides a more accessible introduction to big data analytics, suitable for those with little prior knowledge. It covers the basics of big data, data analytics, and the tools and techniques involved.
Provides a comprehensive guide to using Java, Hadoop, and Spark for big data analysis, with a focus on using BigQuery as a data source.
Provides a gentle introduction to machine learning, with a focus on practical tips and techniques.
Provides a gentle introduction to data analysis, with a focus on practical tips and techniques.
Provides a gentle introduction to natural language processing, with a focus on practical tips and techniques.

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