This course is part of the AI and Data Engineering ExpertTrack
Mastering BigQuery: Building Data Warehouses for Improved Business Performance
Take control of your data with Google BigQuery and Python ETL to transform insights into action.
Duration
2 weeksWeekly study
1 hourIncluded in an ExpertTrack
Course 3 of 4
Mastering BigQuery: Building Data Warehouses for Improved Business Performance
This course has been certified by the CPD Certification Service as conforming to continuing professional development principles. Find out more.
Empower your business with smarter data and BigQuery skills
Every great decision starts with great data. To get ahead, you need the tools to bring it all together and the knowledge to use them effectively.
On this two-week course, you’ll master Google BigQuery and learn to build efficient data warehouses that turn information into insight. You’ll discover how data engineers and analysts use querying and automation to support data-driven decision making.
Build and manage your own data warehouse
Start by exploring the BigQuery platform and learning how to create a data warehouse through its interface and SQL.
You’ll see how to structure, query, and govern data effectively, transforming raw information into insights your team can put into action immediately.
Automate and transform data with Python ETL
Discover how to use Python ETL to extract, transform, and load data from multiple sources.
Through practical exercises, you’ll streamline workflows, automate repetitive tasks, and gain skills that make your data processes faster and more reliable.
Turn insights into business performance
Once your data is organised, you’ll explore advanced querying and analysis in Google BigQuery to uncover patterns and trends.
You’ll learn how to combine results, generate reports, and interpret outputs that directly inform business strategy.
By the end of the course, you’ll be able to apply your findings to support decisions, optimise processes, and identify new opportunities for your organisation.
Syllabus
Week 1
Exploring BigQuery and Building Data Warehouses
Lesson 1: Understanding BigQuery Platform
Gain a solid introduction to Google BigQuery, exploring what makes it a powerful cloud data warehouse. You’ll learn how to set up and access the platform, navigate its interface.
Lesson 2: Creating a Data Warehouse using UI and SQL
Learn the principles of data warehouse creation within BigQuery. You’ll organise datasets, define tables with schemas and settings, and apply partitioning and clustering strategies.
Week 2
Python, ETL, Querying, and Governance
Lesson 3: Creating a Data Warehouse using Python
Build your skills in using Python to automate data warehouse creation. You’ll set up your environment, work in Jupyter Notebook, and use Pandas for manipulating tables. The lesson covers clustering into Python workflows.
Lesson 4: ETL with Python from External Sources
Discover how to perform ETL (Extract, Transform, Load) tasks to bring in external data. You’ll practice extracting and transforming CSV, Excel, and JSON files, then loading them into BigQuery to integrate different data sources.
Lesson 5: Querying and Governance
Strengthen your query skills with BigQuery’s SQL features. You’ll explore examples of data retrieval, apply aggregate and window functions, and create custom transformations with UDFs.
Prove you're job ready
Highlight the new, job-relevant skills you’ve gained and supplement existing qualifications with a hard-earned, industry-specific digital certificate – plus one for every course within your ExpertTrack.
- Learn the latest in your chosen industry or subject.
- Complete each course and pass assessments.
- Receive certificates validated by the educating organisation.
- Impress employers with learning outcomes you can add to your CV.
- Make your career dreams a reality.
Download a PDF
Who is this accredited by?
The CPD Certification Service was established in 1996 and is the leading independent CPD accreditation institution operating across industry sectors to complement the CPD policies of professional and academic bodies.
Learning on this course
On every step of the course you can meet other learners, share your ideas and join in with active discussions in the comments.
What will you achieve?
By the end of the course, you‘ll be able to...
- Understand and Navigate BigQuery: Learn the ins and outs of BigQuery's interface, set up your environment, and access datasets with ease.
- Learn the Principles of Creating Data Warehouses: Create and organize datasets, define tables, and utilize partitioning and clustering for efficient data storage.
- Perform ETL with Python: Build dynamic ETL pipelines using Python, replace and append tables, and configure schema, partitioning, and clustering.
- Comprehend Essential Query Techniques: Understand querying with SQL, exploring aggregate and window functions, and understanding data security and governance.
Who is the course for?
This course is ideal for data analysts, engineers, BI professionals, and developers who want to master Google BigQuery and Python ETL. Also suited for managers and learners ready to build confidence in data-driven decision making.
Who will you learn with?
Who developed the course?
Starweaver
Starweaver is a next generation platform that engages your workforce as no other. Combining business and technical skills, Starweaver provides real-time skill building that is in line with your business objectives and strategies, and in your associates day to day tasks and jobs.
Start learning today - free 2-day trial
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- Pay $39 per month to keep learning online
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- Work at your own pace and set your own deadlines at every stage
- Only pay while you’re learning; the subscription will cancel automatically when you finish
- Complete online assessments to test your knowledge and prove your skills
- Earn digital course certificates and a final award that you can share online, with potential employers, and your professional network
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Learning on FutureLearn
Your learning, your rules
- Courses are split into weeks, activities, and steps to help you keep track of your learning
- Learn through a mix of bite-sized videos, long- and short-form articles, audio, and practical activities
- Stay motivated by using the Progress page to keep track of your step completion and assessment scores
Join a global classroom
- Experience the power of social learning, and get inspired by an international network of learners
- Share ideas with your peers and course educators on every step of the course
- Join the conversation by reading, @ing, liking, bookmarking, and replying to comments from others
Map your progress
- As you work through the course, use notifications and the Progress page to guide your learning
- Whenever you’re ready, mark each step as complete, you’re in control
- Complete 90% of course steps and all of the assessments to earn your certificate
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