Are you tired of struggling with outdated and inefficient data workflows? Overwhelmed by the daunting task of streamlining your data pipeline? If so, you’ve come to the right place. It’s time to dive into the world of dbt, the data build tool that’s revolutionizing the way data professionals manage their pipelines. This powerful tool takes your raw data and transforms it into clean, analyzable datasets, all with just a little bit of SQL magic. And the best part? You don’t even need extensive coding knowledge to start using it!
But where do you begin? The secret to becoming a dbt expert lies in the wealth of online courses available to help you skill up and stay ahead of the curve. In this blog post, we’ll explore some of the top dbt online courses that cater to both beginners and experts alike. Whether you’re a data analyst looking to up-level your skills or a data engineering enthusiast searching for a powerful tool in your arsenal, these courses will ensure that you’re well on your way to mastering dbt and revolutionizing your data projects. So, grab your thinking cap and let’s dive into the world of data transformation!
Dbt Data Build Tool Courses – Table of Contents
- The Complete dbt (Data Build Tool) Bootcamp: Zero to Hero
- Mastering dbt (Data Build Tool) – From Beginner to Pro
- dbt Data Build Tool Masterclass – Complete Guide to dbt
- dbt: Industry Guide for Data Build Tool®
- Learn DBT from Scratch
- dbt(data build tool): dbt for Analytical Engineers
- The Data Bootcamp: Transform your Data using dbt™
- data build tool in Cloud(dbt Cloud)
The Complete dbt (Data Build Tool) Bootcamp: Zero to Hero
Platform:
Udemy
Rating:
4.6 out of 5
Welcome to The Complete dbt (Data Build Tool) Bootcamp: Zero to Hero! This course is continuously updated and designed with a top-down approach, making it perfect for data enthusiasts ranging from data engineers to BI analysts. The course is divided into two sections: theoretical and practical. The theoretical section covers valuable topics like data architecture, analytics engineering, and modern data stack. Following the theoretical layer, the practical section will guide you through building a dbt project from scratch using a real-world Airbnb project example.
Mastering both theory and practice, you’ll learn every dbt feature currently available. This comprehensive course is suitable for data engineers, data analysts, data scientists, BI developers, BI analysts, and anyone working with data tools like SQL. With no prior expectations of your abilities, the course educates you from scratch and provides extensive support throughout the journey. By the end of this course, you’ll have a strong theoretical understanding and practical expertise with dbt. Get ready to level up your skills in dbt and become a true master!
Skills you’ll learn in this course:
- Understanding Analytics Engineering Theory
- Setting up Development Environment and Snowflake
- Mastering dbt Models and Materializations
- Implementing dbt Tests and Documentation
- Working with Jinja and Macros in dbt
- Utilizing dbt Sources, Seeds, Snapshots, and Packages
- Data Visualization using Preset
- Integrating Great Expectations and debugging tests in dbt
Mastering dbt (Data Build Tool) – From Beginner to Pro
Platform:
Udemy
Rating:
4.5 out of 5
Welcome to the 2023 Mastering dbt (data build tool) course! This comprehensive course is designed to help those with basic SQL skills become proficient in advanced dbt, an essential tool for Analytics Engineering. Developed by an expert with over seven years of experience, including the implementation of dbt at Monzo Bank, the course is tailored to help you reach an advanced level of dbt as quickly as possible. Get ready to dive into everything from basic data modeling to advanced features like creating custom tests and macros.
The course is structured to be both engaging and practical, focusing on real-world applications of dbt. It starts with an introduction on the theory behind dbt, followed by a hands-on walkthrough of building a basic dbt project from scratch. As you progress, you’ll dive into more advanced topics like advanced dbt testing, data modeling, and using Jinja and macros. By the end of the course, you’ll learn how to deploy your dbt project on dbt Cloud and schedule it to run regularly. So, if you’re eager to achieve mastery in dbt, this course has everything you need to get started!
Skills you’ll learn in this course:
- Advanced dbt data modeling techniques
- Building a dbt project from scratch
- Implementing advanced testing strategies with dbt
- Utilizing external packages like dbt-utils and dbt-expectations
- Applying materialization methods (ephemeral, view, table, incremental)
- Mastering advanced dbt commands
- Integrating Jinja and creating custom macros
- Deploying and scheduling dbt projects with dbt Cloud
dbt Data Build Tool Masterclass – Complete Guide to dbt
Platform:
Udemy
Rating:
4.9 out of 5
Are you ready to ride the next wave of Data Engineering and master the dbt Data Build Tool? If so, this comprehensive, hands-on course is perfect for you! By delving deep into the world of dbt, you’ll learn how to unlock your data analytics projects’ true potential and seamlessly transform and manage your data pipelines. Whether you’re a data engineer, data analyst, or data scientist, this course will equip you with essential skills to accelerate your data analytics workflows and become a top Data Engineer and Data Analyst.
Featuring over six hours of instructional video content, this course guides you through all dbt concepts, demonstrating how to deploy ELT projects using dbt. From Materializations and Tests to Incremental Loads and Snapshots, you’ll learn from start to finish with practical, real-life examples. This course also explores the differences between dbt Core and dbt Cloud while focusing mainly on dbt Cloud. Learning dbt will help streamline your data transformation process, maintain data integrity, collaborate effectively, enable scalable analytics, and stay up-to-date with industry standards. So, why wait? Join this course today and take a significant leap in your Data and Analytical Engineering journey!
Skills you’ll learn in this course:
- Define, structure, and organize data transformations using dbt models.
- Write tests to ensure the quality and accuracy of dbt models.
- Optimize performance and scalability with different materialization techniques.
- Incorporate seeds and sources into dbt projects for data ingestion and initial data setup.
- Utilize Jinja templating and generate automated documentation for dbt projects.
- Enhance data loading capabilities and create custom macros to extend dbt functionality.
- Leverage dbt snapshots to capture historical versions of data for auditing and analysis.
- Integrate external scripts and actions into dbt workflows using hooks.
dbt: Industry Guide for Data Build Tool®
Platform:
Udemy
Rating:
5 out of 5
Are you eager to streamline your data pipelines and practice it in the cloud? You’re in the right place! This course offers a strong theoretical foundation along with the opportunity to apply newly learned concepts in practice. It focuses on dbt (Data Build Tool), which has been simplifying and automating complex data pipelines in various industries over the last 4 years. Leveraging modern cloud computing and dbt, the course creator has brought numerous ML projects to life, tackled complex business challenges, and even set up three data warehouses from scratch.
By the end of this fun and industry-shaped course, you’ll be able to streamline data transformations in multiple databases, decrease the time from pipeline ideation to production rollout up to five times, automate data checks, spin up dbt in GCP and connect dbtCloud to AWS, automate data documentation generation, use dbt modules to fast-track pipeline development, and use Jinja to template and automate like a ninja! Plus, if you’re interested in learning how to deploy ML models, check out their bestselling MLOps course. Get ready to boost your data management skills and happy learning!
Skills you’ll learn in this course:
- Streamline data transformations in multiple databases
- Decrease time from pipeline ideation to production roll-out up to 5 times
- Automate data checks
- Spin up dbt in GCP and connect dbtCloud to AWS
- Automate data documentation generation
- Use dbt modules to fasten pipeline development
- Use Jinja for templating and automation
- Improve data management acumen
Learn DBT from Scratch
Platform:
Udemy
Rating:
4.3 out of 5
Are you ready to take your Data Scientist or Analyst skills to the next level? If so, the Learn DBT from Scratch course is perfect for you. By the end of this course, you’ll be able to set up DBT locally and on the cloud, connect DBT to Snowflake or another data warehouse, create SQL transformations on data, test your transformations, and snapshot your data to track its changes over time. You’ll also learn DBT best practices, making it a great way to quickly implement DBT into your data pipeline or a new data warehouse setup.
Although DBT might not be the first technical skill that comes to mind, it’s a fundamental one for Data Scientists and Analysts due to its flexibility and endless integration possibilities. With DBT, you’ll gain the ability to create consistent aggregations for analysis, test transformations and underlying data, run data transformations on a schedule, and test your code in a DEV environment. So why wait? Enroll in Learn DBT from Scratch and become an invaluable asset to any modern, data-driven business. Let DBT help you apply software engineering principles to your analytics code and skyrocket your data analyst career.
Skills you’ll learn in this course:
- Set up DBT locally and on the cloud
- Connect DBT to Snowflake or a data warehouse of choice
- Create SQL transformations on data
- Test data transformations
- Snapshot data to track changes over time
- Learn DBT best practices
- Create consistent aggregations for analysis
- Utilize DEV environment for code testing
dbt(data build tool): dbt for Analytical Engineers
Platform:
Udemy
Rating:
5 out of 5
Get ready to revolutionize the way you work with data warehouses! Introducing an online course that will teach you all about dbt (data build tool). This is an open-source command line tool that has been changing the game for analysts and engineers by helping them transform data more effectively and efficiently. It’s no surprise that over 3000 companies worldwide have started using dbt by 2023, including big names like IBM, Jet Blue, Dyson, and Capgemini.
This course is designed for anyone looking to kickstart their career as a Data Engineer, Data Analyst, or Data Scientist. No advanced SQL knowledge or programming concepts are required. You’ll learn a variety of topics such as dbt Cloud and Core Configuration and Setup, Data Warehousing Concepts, dbt Models deployment, Materialization, Slowly Changing Dimension, Snapshots, Sources and Seeds, Macros and Packages, and even an overview of Jinja Templating language. By the end of this course, you’ll have a solid understanding of dbt and how to use it effectively in different fields. Happy learning!
Skills you’ll learn in this course:
- Understanding the basics of dbt (data build tool) and its role in data warehousing
- Setting up and configuring dbt Cloud and Core
- Deploying dbt models to a database and understanding materialization types
- Implementing slowly changing dimensions and snapshots in dbt
- Working with dbt sources, seeds, macros, and packages
- Introduction to Jinja templating language and its usage in dbt models
- Performing dbt testing and documentation
- Gaining hands-on experience in applying dbt concepts in various data-related roles
The Data Bootcamp: Transform your Data using dbt™
Platform:
Udemy
Rating:
4.5 out of 5
Looking for a way to level up your data transformation game? Check out “The dbt™ Bootcamp: Transform your Data using dbt™,” a beginner-friendly course that will walk you through the ins and outs of dbt™ and its applications. Through a practical, project-based approach, you’ll learn to set up dbt™ Cloud, connect it to Snowflake or a warehouse of your choice, develop models, create sources, perform testing, work with documentation, and much more. And don’t worry – you’ll be working on a realistic project involving a fictitious company called GlobalMart, making this learning experience as hands-on as possible.
By the end of the course, you’ll have mastered various dbt™ skills, including setting up a dbt™ Cloud account, connecting to a database and repository, understanding the dbt™ Cloud interface, building and running models, using modularity and Jinja, creating and referencing sources, performing tests, generating documentation, deploying, and leveraging macros, packages, seeds, and analyses. So if you’re ready to dive into the world of dbt™ and enhance your data transformation prowess, this course is the perfect starting point! See you in the next lecture!
Skills you’ll learn in this course:
- Set up and navigate a dbt™ Cloud account
- Connect dbt™ to databases and repositories
- Build and run models using dbt™
- Understand modularity and create sources
- Perform various tests in dbt™
- Create and generate documentation
- Use Jinja in dbt™ projects
- Implement macros, packages, seeds, and analyses
data build tool in Cloud(dbt Cloud)
Platform:
Udemy
Rating:
4.6 out of 5
Ready to dive into the world of dbt Cloud and level up your data engineering skills? This comprehensive course has got you covered! You’ll learn all about applying transformations using SQL statements, testing during development, and deploying your projects into production environments. With a focus on models, materializations, sources, seeds, snapshots, hooks, Jinja, macros, and deployments, you’ll be well-equipped to excel in the field of data engineering and analytics.
Not only will you gain a deep understanding of dbt_project.yml and schema.yml files, but you’ll also learn efficient ways of transforming data, defining global and local variables, and interacting with PostgreSQL. Plus, dynamic schema generation and database object creation techniques are also covered. This course is perfect for Data Engineers, ETL Architects, ETL Developers, Data Analysts, Data Scientists, BI Developers, Database Developers, Data Integration Specialists, Data Architects, and anyone looking to boost their expertise in data engineering and analytics. With proficient knowledge of dbt Cloud under your belt, you’ll be one step closer to conquering the field.
Skills you’ll learn in this course:
- Mastering dbt Cloud and dbt_project.yml/schema.yml files
- Applying data transformations using SQL statements
- Implementing various materializations (Table, View, Incremental, and Ephemeral)
- Creating and managing test cases with schema.yml and sources
- Utilizing Jinja, macros, and reusability models for greater efficiency
- Deploying projects and managing connections in a production environment
- Working with PostgreSql, dynamic schema generation, and database object creation
- Developing skills beneficial to Data Engineers, Data Analysts, and Data Scientists
In conclusion, investing your time in a Dbt Data Build Tool online course is a smart move for any data professional looking to enhance their skills and stay ahead in the game. With a wide variety of courses available, you can easily find one that fits your needs and experience level. Whether you’re a beginner just starting out, or a seasoned pro looking to sharpen your skills, taking an online course on Dbt will only prove beneficial to your career.
As the world of data continues to grow, so does the need for proficient individuals who can navigate through complex data sets and deliver valuable insights. By equipping yourself with Dbt knowledge and skills via these online courses, you’ll be better prepared to tackle any challenges you may face in the industry. Remember, learning never stops – so, go ahead and explore the wonderful world of data transformation with Dbt and keep elevating your expertise!