Modern Data Stack Bootcamp
Modern Data Stack Bootcamp
Modern Data Stack Bootcamp
Crafting Data Experts for tomorrow.
Crafting Data Experts for tomorrow.
Crafting Data Experts for tomorrow.
Finding skilled professionals for modern data tools can be tough. Companies need experts in data engineering, analysis, and data science who can use modern data stack technologies.
New solutions like Snowflake, dbt, Airflow are changing the industry, and not many have the necessary expertise to leverage them.
Finding skilled professionals for modern data tools can be tough. Companies need experts in data engineering, analysis, and data science who can use modern data stack technologies.
New solutions like Snowflake, dbt, Airflow are changing the industry, and not many have the necessary expertise to leverage them.
Finding skilled professionals for modern data tools can be tough. Companies need experts in data engineering, analysis, and data science who can use modern data stack technologies.
New solutions like Snowflake, dbt, Airflow are changing the industry, and not many have the necessary expertise to leverage them.
Why do education programs fail?
Why do education programs fail?
Why do education programs fail?
Most academic programs from Universities, Masters, and even bootcamps are designed by academic people who don’t really know the real data analytics challenges real companies face on a daily basis. They focus too much on theory and do not provide a proper hands-on experience with the tooling that you will need to use.
Most academic programs from Universities, Masters, and even bootcamps are designed by academic people who don’t really know the real data analytics challenges real companies face on a daily basis. They focus too much on theory and do not provide a proper hands-on experience with the tooling that you will need to use.
Most academic programs from Universities, Masters, and even bootcamps are designed by academic people who don’t really know the real data analytics challenges real companies face on a daily basis. They focus too much on theory and do not provide a proper hands-on experience with the tooling that you will need to use.
Why does self-learning fail?
Why does self-learning fail?
Why does self-learning fail?
The internet has plenty of good resources to learn almost anything, but it’s difficult to design your own learning path into a career that is constantly changing. It is also demotivating not having a group where you can share knowledge, interact, and encourage while learning.
The internet has plenty of good resources to learn almost anything, but it’s difficult to design your own learning path into a career that is constantly changing. It is also demotivating not having a group where you can share knowledge, interact, and encourage while learning.
The internet has plenty of good resources to learn almost anything, but it’s difficult to design your own learning path into a career that is constantly changing. It is also demotivating not having a group where you can share knowledge, interact, and encourage while learning.
Solution
This data landscape is moving fast, and most courses are not up to date. With this bootcamp, you’ll learn from practitioners, based on real-world examples. The course includes practical exercises, Q&A, templates & resources, and a Slack channel for you to engage in conversations with a team of data experts.
Solution
This data landscape is moving fast, and most courses are not up to date. With this bootcamp, you’ll learn from practitioners, based on real-world examples. The course includes practical exercises, Q&A, templates & resources, and a Slack channel for you to engage in conversations with a team of data experts.
Solution
This data landscape is moving fast, and most courses are not up to date. With this bootcamp, you’ll learn from practitioners, based on real-world examples. The course includes practical exercises, Q&A, templates & resources, and a Slack channel for you to engage in conversations with a team of data experts.
What you’ll get out of this course?
What you’ll get out of this course?
What you’ll get out of this course?
Confidence in choosing the right data stack
Confidence in choosing the right data stack
Confidence in choosing the right data stack
01
Master the foundations of data architecture to extract, transform, and visualise your data.
Get a complete understanding of the different components of any data stack.
Discover real use cases from leading companies.
Proficiency in setting up a data warehouse for loading and transformation
Proficiency in setting up a data warehouse for loading and transformation
Proficiency in setting up a data warehouse for loading and transformation
02
A comprehensive analysis of the current data analytics and warehousing landscape (Snowflake, BigQuery, …).
A practical course in getting the most out of a data warehouse using dbt core and BigQuery.
A clear methodology to manage and organize your data with a data catalog.
Know-how at streamlining data to business-critical applications
Know-how at streamlining data to business-critical applications
Know-how at streamlining data to business-critical applications
03
Develop the skills to integrate clean data with downstream applications.
Learn how to automate workflows and trigger actions in other applications using clean, structured data.
Understand the principles of API interactions and data exchange formats to efficiently connect data sources with different applications, facilitating seamless data flow and operational efficiency.
Expertise in getting value out of clean data
Expertise in getting value out of clean data
Expertise in getting value out of clean data
04
Gain hands-on experience in transforming clean data into actionable insights.
Acquire a comprehensive understanding of advanced analysis and predictive models from data experts with years of experience in the trenches.
Acquire skills in utilizing clean data to identify trends, forecast outcomes, and provide strategic recommendations, preparing you to tackle complex data challenges.
Outstanding portfolio to nail any interview
Outstanding portfolio to nail any interview
Outstanding portfolio to nail any interview
05
Build a portfolio of real-world projects demonstrating your ability to handle complex data tasks.
Ensure your portfolio stands out to potential employers and showcases already-gained knowledge.
Equip yourself with the expertise to get an unfair advantage in the job market.
Next cohort starts on the 2nd of September
Next cohort starts on the 2nd of September
Next cohort starts on the 2nd of September
2
2
2
Curriculum
Crafted by savvy data professionals, the curriculum covers all the facets of Modern Data Stack and will jump-start your career in this modern data world.
Class 0
Course introduction
Class 1
Overview of the Modern Data Stack
Class 2
Data Architecture & Data Modelling
Class 3
Data Warehouses
Class 4
Data Sources & Data Ingestion
Class 5
Data Transformation & Semantic Layer
Class 6
Data Quality & Data Observability
Class 7
Data Infra & DataOps
Class 8
Downstream applications (BI, reverse ETL and API tables)
Class 9
Downstream applications (Data Science & ML)
Class 10
Modern Data Stack
Class 11
Final Project
Bootcamp schedule
8
weeks of content
2
classes per week
6
hours of work each class
You can complete the different pieces of each class at your own rhythm with the exception of the live sessions.
Bootcamp stack
Everything will be hosted on the platform circle.so. Registration to the bootcamp, instant messaging, classes’ contents, and so on will all be hosted on this platform. One single pane of glass to manage and access it all!
In terms of material on your side, we recommend that you have MacOs or Linux operating systems.
Each participant will get a Google account and Google Cloud sandbox project created on our Astrafy organization to carry out the different challenges and experiment with the different concepts presented during the classes.
Curriculum
Crafted by savvy data professionals, the curriculum covers all the facets of Modern Data Stack and will jump-start your career in this modern data world.
Class 0
Course introduction
Class 1
Overview of the Modern Data Stack
Class 2
Data Architecture & Data Modelling
Class 3
Data Warehouses
Class 4
Data Sources & Data Ingestion
Class 5
Data Transformation & Semantic Layer
Class 6
Data Quality & Data Observability
Class 7
Data Infra & DataOps
Class 8
Downstream applications (BI, reverse ETL and API tables)
Class 9
Downstream applications (Data Science & ML)
Class 10
Modern Data Stack
Class 11
Final Project
Bootcamp schedule
8
weeks of content
2
classes per week
6
hours of work each class
You can complete the different pieces of each class at your own rhythm with the exception of the live sessions.
Bootcamp stack
Everything will be hosted on the platform circle.so. Registration to the bootcamp, instant messaging, classes’ contents, and so on will all be hosted on this platform. One single pane of glass to manage and access it all!
In terms of material on your side, we recommend that you have MacOs or Linux operating systems.
Each participant will get a Google account and Google Cloud sandbox project created on our Astrafy organization to carry out the different challenges and experiment with the different concepts presented during the classes.
Curriculum
Crafted by savvy data professionals, the curriculum covers all the facets of Modern Data Stack and will jump-start your career in this modern data world.
Class 0
Course introduction
Class 1
Overview of the Modern Data Stack
Class 2
Data Architecture & Data Modelling
Class 3
Data Warehouses
Class 4
Data Sources & Data Ingestion
Class 5
Data Transformation & Semantic Layer
Class 6
Data Quality & Data Observability
Class 7
Data Infra & DataOps
Class 8
Downstream applications (BI, reverse ETL and API tables)
Class 9
Downstream applications (Data Science & ML)
Class 10
Modern Data Stack
Class 11
Final Project
Bootcamp schedule
8
weeks of content
2
classes per week
6
hours of work each class
You can complete the different pieces of each class at your own rhythm with the exception of the live sessions.
Bootcamp stack
Everything will be hosted on the platform circle.so. Registration to the bootcamp, instant messaging, classes’ contents, and so on will all be hosted on this platform. One single pane of glass to manage and access it all!
In terms of material on your side, we recommend that you have MacOs or Linux operating systems.
Each participant will get a Google account and Google Cloud sandbox project created on our Astrafy organization to carry out the different challenges and experiment with the different concepts presented during the classes.
Who is this bootcamp for?
Who is this bootcamp for?
Who is this bootcamp for?
This program is designed for individuals interested in pursuing or boosting their careers as data professionals and looking to develop their skills and knowledge in the leading practices of the modern data stack.
This program is designed for individuals interested in pursuing or boosting their careers as data professionals and looking to develop their skills and knowledge in the leading practices of the modern data stack.
This program is designed for individuals interested in pursuing or boosting their careers as data professionals and looking to develop their skills and knowledge in the leading practices of the modern data stack.
Do I need any specific skillset?
Do I need any specific skillset?
Do I need any specific skillset?
No skillset is needed aside from basic Python and SQL knowledge.
No skillset is needed aside from basic Python and SQL knowledge.
No skillset is needed aside from basic Python and SQL knowledge.
Interested in future bootcamps and other data news?
Interested in future bootcamps and other data news?
Interested in future bootcamps and other data news?
Meet your instructors
Meet your instructors
Meet your instructors
Charles Verleyen
Charles Verleyen
Charles Verleyen
CEO & Lead Architect, Co-Founder
CEO & Lead Architect, Co-Founder
CEO & Lead Architect, Co-Founder
Alejandro de la Cruz López
Alejandro de la Cruz López
Alejandro de la Cruz López
ML engineer
ML engineer
ML engineer
Andrea Bombino
Andrea Bombino
Andrea Bombino
Head of Data Engineering, Co-Founder
Head of Data Engineering, Co-Founder
Head of Data Engineering, Co-Founder
Kevin Serrano
Kevin Serrano
Kevin Serrano
Head of DataOps, Co-Founder
Head of DataOps, Co-Founder
Head of DataOps, Co-Founder
Kamil Bennani-Smires
Kamil Bennani-Smires
Kamil Bennani-Smires
Head of Advanced Analytics, Co-Founder
Head of Advanced Analytics, Co-Founder
Head of Advanced Analytics, Co-Founder