Course

BigQuery for Data Analysts

Google Cloud

This course, offered by Google Cloud, is tailored for data analysts seeking to harness the power of BigQuery for data analysis. Through a blend of videos, labs, and demos, participants will delve into topics such as data exploration, cleaning, transforming, ingesting new datasets, and visualizing insights. With a focus on practical application and real-world use cases, this course emphasizes the value of BigQuery in driving informed business decisions.

  • Explore the purpose and value of BigQuery for data analytics
  • Analyze, clean, and transform data using SQL
  • Ingest and store new datasets in BigQuery
  • Visualize insights from BigQuery using Connected Sheets and Looker Studio
  • Develop scalable data transformation pipelines with Dataform

Certificate Available ✔

Get Started / More Info
BigQuery for Data Analysts
Course Modules

BigQuery for Data Analysts offers a comprehensive overview of data analysis on Google Cloud, covering topics such as data exploration, cleaning, transforming, ingesting new datasets, visualizing insights, and developing scalable data transformation pipelines using Dataform.

Course Introduction

This module provides an introduction to the course, setting the stage for what participants can expect to learn and achieve. It offers a brief overview of the course content, objectives, and structure, ensuring learners are prepared for the learning journey ahead.

BigQuery for Data Analysts

This module delves into the fundamentals of data analytics on Google Cloud, emphasizing the value of BigQuery and its data analytics features. Real-world use cases and a demonstration highlight the practical applications of BigQuery for data analysts.

Exploring and Preparing your Data with BigQuery

Participants will learn common data exploration techniques and how to analyze large datasets with BigQuery. The module also covers query basics, functions, and enriching queries with UNIONs and JOINs. The labs provide hands-on experience in exploring and troubleshooting data using SQL in Google BigQuery.

Cleaning and Transforming your Data

The focus of this module is on principles of dataset integrity, cleaning, and transforming data using SQL. Learners will also explore alternative options for cleaning and transforming data, ensuring data accuracy and quality for analysis.

Ingesting and Storing New BigQuery Datasets

This module covers the differences between permanent and temporary data tables, and how to ingest new datasets and utilize external data sources. Participants will engage in labs to create, ingest, and query new datasets, gaining practical experience in managing data in BigQuery.

Visualizing Your Insights from BigQuery

Participants will explore data visualization principles and tools like Connected Sheets and Looker Studio to visualize data insights from BigQuery. Common data visualization pitfalls and the analysis in a notebook are also covered, with hands-on labs to reinforce learning.

Developing scalable data transformations pipelines in BigQuery with Dataform

This module introduces Dataform, focusing on its purpose, getting started, and a demo to showcase its capabilities. The lab provides an opportunity to create and execute a SQL workflow in Dataform, enabling learners to develop scalable data transformation pipelines in BigQuery.

Summary

This concluding module offers a summary of the course, ensuring participants have a clear understanding of the key concepts and skills they have acquired throughout the learning journey.

More Cloud Computing Courses

AWS S3 Basics

Coursera Project Network

Learn the fundamentals of AWS S3 in this project-based course, covering encryption, versioning, static website hosting, and lifecycle management.

Create your first Amazon Aurora Database in AWS

Coursera Project Network

Learn to create Amazon Aurora Database, set up networking, and connect securely via EC2 Bastion using MySQL Workbench in this 2-hour guided project.

Innovación y medios digitales en proyectos sociales

Universidad Nacional Autónoma de México

Innovación y medios digitales en proyectos sociales es un curso inspirador que guía a los participantes a desarrollar proyectos innovadores en sintonía con los...

Rent-a-VM to Process Earthquake Data

Google Cloud

Rent-a-VM to Process Earthquake Data is a self-paced lab in the Google Cloud console where you create a virtual machine, configure security, and execute a data pipeline....