Coursera

Build a Data Warehouse Using BigQuery (Coursera)

Offered by Starweaver,
Build a Data Warehouse Using BigQuery (Coursera)

Unlock the power of Google BigQuery as you embark on a journey to become proficient in data warehouse building and advanced querying. In this comprehensive course, you'll learn to harness the capabilities of BigQuery, from setting up and accessing the platform to creating data warehouses using both the user interface and Python. Through hands-on lessons and practical applications, you'll develop the fundamental skills needed to manage, query, and optimize your data in this powerful cloud-based platform.

Class Deals by MOOC List - Click here and see Coursera's Active Discounts, Deals, and Promo Codes.

This course is designed for data analysts, data engineers, business intelligence professionals, and anyone interested in mastering the art of building efficient data warehouses and performing advanced data queries using Google BigQuery. Learners should have a basic understanding of SQL and familiarity with data concepts.
This course aims to give learners a comprehensive understanding of Google BigQuery, empowering them to create efficient data warehouses, perform queries, and make informed data-driven decisions. Whether you're a data professional or an aspiring analyst, this course will equip you with the tools and knowledge to unlock the full potential of BigQuery for improved business performance.

What you'll learn

  • Create efficient data warehouses and tables using Google BigQuery's UI and SQL
  • Build dynamic ETL pipelines with Python, incorporating partitioning and clustering strategies.
  • Perform advanced queries, including aggregate and window functions, for insightful data analysis.

Syllabus

Build a Data Warehouse Using BigQuery
Unlock the power of Google BigQuery as you embark on a journey to understand the basic data warehouse builder and query expert. In this comprehensive course, you'll learn to harness the capabilities of BigQuery, from setting up and accessing the platform to creating data warehouses using both UI and Python. Through hands-on lessons and practical applications, you'll develop the basic skills needed to manage, query, and optimize your data in this powerful cloud-based platform.

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Big Data Analysis with Scala and Spark (Scala 2 version) (Coursera) Coursera
École Polytechnique Fédérale de Lausanne

Big Data Analysis with Scala and Spark (Scala 2 version) (Coursera)

CS: Theory Data Science

Manipulating big data distributed over a cluster using functional concepts is rampant in industry, and is arguably one of the first widespread industrial uses of functional ideas. This is evidenced by the popularity of MapReduce and Hadoop, and most recently Apache Spark, a fast, in-memory distributed collections framework written in Scala. In this course, we'll see how the data parallel paradigm can be extended to the distributed case, using Spark throughout.

Aug 17th 2026
4 Weeks
SQL Scala Big Data
Details
Big Data Analysis with Scala and Spark (Coursera) Coursera
École Polytechnique Fédérale de Lausanne

Big Data Analysis with Scala and Spark (Coursera)

CS: Theory CS: Programming

Manipulating big data distributed over a cluster using functional concepts is rampant in industry, and is arguably one of the first widespread industrial uses of functional ideas. This is evidenced by the popularity of MapReduce and Hadoop, and most recently Apache Spark, a fast, in-memory distributed collections framework written in Scala. In this course, we'll see how the data parallel paradigm can be extended to the distributed case, using Spark throughout.

Aug 17th 2026
4 Weeks
Programming Algorithms SQL
Details
Computers, Waves, Simulations: A Practical Introduction to Numerical Methods using Python (Coursera) Coursera
Ludwig-Maximilians-Universität München

Computers, Waves, Simulations: A Practical Introduction to Numerical Methods using Python (Coursera)

Engineering Computer Science

Interested in learning how to solve partial differential equations with numerical methods and how to turn them into python codes? This course provides you with a basic introduction how to apply methods like the finite-difference method, the pseudospectral method, the linear and spectral element method to the 1D (or 2D) scalar wave equation.

Aug 10th 2026
5-12 Weeks
Computer Python Von Neumann Architecture
Details
Comparing Genes, Proteins, and Genomes (Bioinformatics III) (Coursera) Coursera
University of California, San Diego

Comparing Genes, Proteins, and Genomes (Bioinformatics III) (Coursera)

Sci: Biology & Life Sciences Health & Society

Once we have sequenced genomes in the previous course, we would like to compare them to determine how species have evolved and what makes them different. In the first half of the course, we will compare two short biological sequences, such as genes (i.e., short sequences of DNA) or proteins. We will encounter a powerful algorithmic tool called dynamic programming that will help us determine the number of mutations that have separated the two genes/proteins.

Aug 17th 2026
5-12 Weeks
Genes DNA Genomes
Details
SQL for Security Specialist (Coursera) Coursera
Codio

SQL for Security Specialist (Coursera)

Security & Networking

This course is designed specifically for SQL Security Specialists with a focus on PostgreSQL. It assumes a solid foundation in SQL and guides learners through advanced topics specific to PostgreSQL. You'll explore crucial concepts, such as complex queries, performance optimization, and database administration tasks unique to PostgreSQL.

Aug 17th 2026
3 Weeks
Security Databases SQL
Details
BigQuery Fundamentals for Teradata Professionals (Coursera) Coursera
Google Cloud

BigQuery Fundamentals for Teradata Professionals (Coursera)

CS: Information & Technology

This course covers BigQuery fundamentals for professionals who are familiar with SQL-based cloud data warehouses in Teradata and want to begin working in BigQuery. Through interactive lecture content and hands-on labs, you learn how to provision resources, create and share data assets, ingest data, and optimize query performance in BigQuery. Drawing upon your knowledge of Teradata, you also learn about similarities and differences between Teradata and BigQuery to help you get started with data warehouses in BigQuery.

Aug 17th 2026
2 Weeks
SQL BigQuery Google Cloud
Details
Applied Plotting, Charting & Data Representation in Python (Coursera) Coursera
University of Michigan

Applied Plotting, Charting & Data Representation in Python (Coursera)

Statistics & Data Analysis Data Science

This course will introduce the learner to information visualization basics, with a focus on reporting and charting using the matplotlib library. The course will start with a design and information literacy perspective, touching on what makes a good and bad visualization, and what statistical measures translate into in terms of visualizations. The second week will focus on the technology used to make visualizations in python, matplotlib, and introduce users to best practices when creating basic charts and how to realize design decisions in the framework.

Aug 10th 2026
4 Weeks
Python Data Analysis Data Science
Details
BigQuery Fundamentals for Oracle Professionals (Coursera) Coursera
Google Cloud

BigQuery Fundamentals for Oracle Professionals (Coursera)

CS: Information & Technology

This course covers BigQuery fundamentals for professionals who are familiar with SQL-based cloud data warehouses in Oracle and want to begin working in BigQuery. Through interactive lecture content and hands-on labs, you learn how to provision resources, create and share data assets, ingest data, and optimize query performance in BigQuery. Drawing upon your knowledge of Oracle, you also learn about similarities and differences between Oracle and BigQuery to help you get started with data warehouses in BigQuery.

Aug 17th 2026
2 Weeks
SQL Oracle BigQuery
Details
Foundations of Data Science: K-Means Clustering in Python (Coursera) Coursera
University of London,Goldsmiths, University of London

Foundations of Data Science: K-Means Clustering in Python (Coursera)

Data Science

This MOOC, designed by an academic team from Goldsmiths, University of London, will quickly introduce you to the core concepts of Data Science to prepare you for intermediate and advanced Data Science courses. It focuses on the basic mathematics, statistics and programming skills that are necessary for typical data analysis tasks.

Aug 10th 2026
5-12 Weeks
Programming Python Machine Learning
Details