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.

An illustration of two people using laptops: one standing with a checkmark in a speech bubble, the other sitting on a beanbag in front of a display with charts, indicating data analysis work, representing the bootcamp's focus on training for modern data stack.
An illustration of two people using laptops: one standing with a checkmark in a speech bubble, the other sitting on a beanbag in front of a display with charts, indicating data analysis work, representing the bootcamp's focus on training for modern data stack.
An illustration of two people using laptops: one standing with a checkmark in a speech bubble, the other sitting on a beanbag in front of a display with charts, indicating data analysis work, representing the bootcamp's focus on training for modern data stack.
Icon representing a discussion on educational program shortcomings, featuring a board with a pie chart and bullet points, symbolizing the analytical aspect of academic courses.

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.

Icon depicting a single person, symbolizing individual effort in self-learning.

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

Solution

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.

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.

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.

A stylized vector image of a line graph showing upward and downward trends, flanked by icons of a bar chart within a web browser window on the left and a web page interface on the right, all against a dark background with star-like dots, representing data analysis and web analytics concepts.
A stylized vector image of a line graph showing upward and downward trends, flanked by icons of a bar chart within a web browser window on the left and a web page interface on the right, all against a dark background with star-like dots, representing data analysis and web analytics concepts.
A stylized vector image of a line graph showing upward and downward trends, flanked by icons of a bar chart within a web browser window on the left and a web page interface on the right, all against a dark background with star-like dots, representing data analysis and web analytics concepts.

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.

An illustration of a person presenting data with a large server or database in the background. They are holding a tablet displaying bar charts, with additional data visualizations like a pie chart and line graph beside them, representing data analysis or management.
An illustration of a person presenting data with a large server or database in the background. They are holding a tablet displaying bar charts, with additional data visualizations like a pie chart and line graph beside them, representing data analysis or management.
An illustration of a person presenting data with a large server or database in the background. They are holding a tablet displaying bar charts, with additional data visualizations like a pie chart and line graph beside them, representing data analysis or management.
An illustration of a person presenting data with a large server or database in the background. They are holding a tablet displaying bar charts, with additional data visualizations like a pie chart and line graph beside them, representing data analysis or management.
An abstract illustration of a computer monitor displaying folders and a document, with various line connections and icons such as gears and bursts around it, symbolizing a network or process of data management and organization.
An abstract illustration of a computer monitor displaying folders and a document, with various line connections and icons such as gears and bursts around it, symbolizing a network or process of data management and organization.
An abstract illustration of a computer monitor displaying folders and a document, with various line connections and icons such as gears and bursts around it, symbolizing a network or process of data management and organization.

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.

A stylized illustration of two people interacting with a giant smartphone, which displays app icons and file folders. Above the phone, a cloud with arrows suggests cloud computing or data synchronization. With surrounding icons, such as gears and stars.
A stylized illustration of two people interacting with a giant smartphone, which displays app icons and file folders. Above the phone, a cloud with arrows suggests cloud computing or data synchronization. With surrounding icons, such as gears and stars.
A stylized illustration of two people interacting with a giant smartphone, which displays app icons and file folders. Above the phone, a cloud with arrows suggests cloud computing or data synchronization. With surrounding icons, such as gears and stars.
A stylized illustration of two people interacting with a giant smartphone, which displays app icons and file folders. Above the phone, a cloud with arrows suggests cloud computing or data synchronization. With surrounding icons, such as gears and stars.
An illustration of a person with their back turned, interacting with a large computer display that shows various charts and data visualizations. They appear to be engaged in data analysis or presentation, symbolized by dynamic lines and shapes, including a folder icon and a bursting star, indicating active data management or insight discovery.
An illustration of a person with their back turned, interacting with a large computer display that shows various charts and data visualizations. They appear to be engaged in data analysis or presentation, symbolized by dynamic lines and shapes, including a folder icon and a bursting star, indicating active data management or insight discovery.
An illustration of a person with their back turned, interacting with a large computer display that shows various charts and data visualizations. They appear to be engaged in data analysis or presentation, symbolized by dynamic lines and shapes, including a folder icon and a bursting star, indicating active data management or insight discovery.
An illustration of a person with their back turned, interacting with a large computer display that shows various charts and data visualizations. They appear to be engaged in data analysis or presentation, symbolized by dynamic lines and shapes, including a folder icon and a bursting star, indicating active data management or insight discovery.

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.

 An illustration depicting a box overflowing with various data visualization and multimedia elements like pie charts, graphs, images, and videos, connected to a code symbol, suggesting data analysis and software development. A magnifying glass with a gear symbolizes search and optimization. The overall image represents organizing and working with a diverse set of data and digital content.
 An illustration depicting a box overflowing with various data visualization and multimedia elements like pie charts, graphs, images, and videos, connected to a code symbol, suggesting data analysis and software development. A magnifying glass with a gear symbolizes search and optimization. The overall image represents organizing and working with a diverse set of data and digital content.
 An illustration depicting a box overflowing with various data visualization and multimedia elements like pie charts, graphs, images, and videos, connected to a code symbol, suggesting data analysis and software development. A magnifying glass with a gear symbolizes search and optimization. The overall image represents organizing and working with a diverse set of data and digital content.
 An illustration depicting a box overflowing with various data visualization and multimedia elements like pie charts, graphs, images, and videos, connected to a code symbol, suggesting data analysis and software development. A magnifying glass with a gear symbolizes search and optimization. The overall image represents organizing and working with a diverse set of data and digital content.

Curriculum

Curriculum

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.

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.

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.

Module 1

Module 1

Module 1

Overview of the Modern Data Stack

Overview of the Modern Data Stack

Overview of the Modern Data Stack

Module 2

Module 2

Module 2

Data Architecture & Data Modelling

Data Architecture & Data Modelling

Data Architecture & Data Modelling

Module 3

Module 3

Module 3

Data Warehouses

Data Warehouses

Data Warehouses

Module 4

Module 4

Module 4

Data Sources & Data Ingestion

Data Sources & Data Ingestion

Data Sources & Data Ingestion

Module 5

Module 5

Module 5

Data Transformation

Data Transformation

Data Transformation

Module 6

Module 6

Module 6

Semantic Layer & Business Intelligence

Semantic Layer & Business Intelligence

Semantic Layer & Business Intelligence

Module 7

Module 7

Module 7

Data Quality & Data Observability

Data Quality & Data Observability

Data Quality & Data Observability

Module 8

Module 8

Module 8

Data Infra & DataOps

Data Infra & DataOps

Data Infra & DataOps

Module 9

Module 9

Module 9

Analyzing data for data science

Analyzing data for data science

Analyzing data for data science

Module 10

Module 10

Module 10

AI in Modern Data Stack

AI in Modern Data Stack

AI in Modern Data Stack

Module 11

Module 11

Module 11

Reverse ETL and API tables

Reverse ETL and API tables

Reverse ETL and API tables

Module 12

Module 12

Module 12

Final Project

Final Project

Final Project

Bootcamp schedule

Bootcamp schedule

Bootcamp schedule

6

6

6

weeks of content

weeks of content

weeks of content

2

2

2

modules per week

modules per week

modules per week

6

6

6

hours of work each class

hours of work each class

hours of work each class

You can complete the different classes of each module at your own rhythm with the exception of the live sessions.

You can complete the different classes of each module at your own rhythm with the exception of the live sessions.

You can complete the different classes of each module at your own rhythm with the exception of the live sessions.

Graphic of a stylized calendar with individual days represented by white squares, some marked with X, on a black background. A cursor icon is clicking on a square, suggesting the selection or marking of a date.
Graphic of a stylized calendar with individual days represented by white squares, some marked with X, on a black background. A cursor icon is clicking on a square, suggesting the selection or marking of a date.
Graphic of a stylized calendar with individual days represented by white squares, some marked with X, on a black background. A cursor icon is clicking on a square, suggesting the selection or marking of a date.
Illustration of a web interface window against a dark background with a stylized cloud on the top left, representing cloud services, and a 'G' at the bottom right, symbolizing Google services. The interface includes checkboxes, toggle switches, and a prominent blue button, indicative of online settings or preferences management.

Bootcamp stack

Bootcamp stack

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.

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.

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.

Vector illustration of a person sitting cross-legged working on a laptop with a stack of books beside them. In the background, there are abstract representations of pie charts and bar graphs, suggesting data analysis or study.
Vector illustration of a person sitting cross-legged working on a laptop with a stack of books beside them. In the background, there are abstract representations of pie charts and bar graphs, suggesting data analysis or study.
Vector illustration of a person sitting cross-legged working on a laptop with a stack of books beside them. In the background, there are abstract representations of pie charts and bar graphs, suggesting data analysis or study.

Stay tuned for the next cohort dates.

Stay tuned for the next cohort dates.

Stay tuned for the next cohort dates.

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Meet your instructors

Meet your instructors

Meet your instructors

Portrait of Charles Verleyen, CEO & Lead Architect, Co-Founder of Astrafy.
Portrait of Charles Verleyen, CEO & Lead Architect, Co-Founder of Astrafy.
Portrait of Charles Verleyen, CEO & Lead Architect, Co-Founder of Astrafy.

Charles Verleyen

Charles Verleyen

Charles Verleyen

CEO & Lead Architect, Co-Founder

CEO & Lead Architect, Co-Founder

CEO & Lead Architect, Co-Founder

Portrait of Alejandro de la Cruz López, Machine Learning Engineer at Astrafy.

Alejandro de la Cruz López

Alejandro de la Cruz López

Alejandro de la Cruz López

ML engineer

ML engineer

ML engineer

Portrait of Andrea Bombino, Head of Data Engineering, Co-Founder of Astrafy.
Portrait of Andrea Bombino, Head of Data Engineering, Co-Founder of Astrafy.
Portrait of Andrea Bombino, Head of Data Engineering, Co-Founder of Astrafy.

Andrea Bombino

Andrea Bombino

Andrea Bombino

Head of Data Engineering, Co-Founder

Head of Data Engineering, Co-Founder

Head of Data Engineering, Co-Founder

Portrait of Kevin Serrano, Head of DataOps, Co-Founder of Astrafy.
Portrait of Kevin Serrano, Head of DataOps, Co-Founder of Astrafy.
Portrait of Kevin Serrano, Head of DataOps, Co-Founder of Astrafy.

Kevin Serrano

Kevin Serrano

Kevin Serrano

Head of DataOps, Co-Founder

Head of DataOps, Co-Founder

Head of DataOps, Co-Founder

Portrait of Kamil Bennani-Smires, Head of Advanced Analytics, Co-Founder of Astrafy.
Portrait of Kamil Bennani-Smires, Head of Advanced Analytics, Co-Founder of Astrafy.
Portrait of Kamil Bennani-Smires, Head of Advanced Analytics, Co-Founder of Astrafy.

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