DEVELOPMENT Program
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Break into Data

Format
Formato
Formato
On-Demand
Duration
Duración
Durata
7 weeks

From Insight to Impact

Propel yourself into coveted Data roles through immersive sessions led by Data Science and Engineering experts

About the program

Sobre el programa

Informazioni sul programma

Program Outline

1. Career opportunities in Data

  • Understand the world of Data
  • Learn skills required and key responsibilities in Data
  • Learn how to differentiate the 3 main Data roles: Data Analyst, Data Engineer and Data Scientist

2. Data Engineering and Analysis

  • Master data extraction using SQL and dbt
  • Learn how to transform data to obtain key insights
  • Dive into Data Visualization and build your own dashboards

3. Data Science and AI

  • Learn fundamentals of machine learning, including supervised and non-supervised techniques
  • Master deep learning and the use of neural networks
  • Learn to deploy fully operational AI models
  • Unveil the full potential of Generative AI and Large Language Models (LLMs) focusing on business
Applicate all your learnings to your own end-to-end data project

Focused on practical content with ETL understanding and applied AI

Take your learnings to the next level with practical content. You will have the chance of creating your first own data project, being reponsible of the full ETL of the process. Learn by doing and become a practical learner!

Our selection process

1. Application review

Submit your application providing information about your background and motivations. It will be reviewed by the Nova Assessment Team.

2. Assessment and phone screening

You may be contacted for a quick chat to evaluate your fit and solve any further questions

3. Selection and notification

Selected candidates will receive an official acceptance email to enroll in the program.

Non-Novas will have to complete the Nova process after enrolling in the program. Their enrollment fee will be refunded if they are not accepted into the Nova community.

Refer a friend: Learn & save together!

Unlock the power of shared learning by referring a friend to a Nova Development Program. When both you and your friend are selected, you both will enjoy a 15% discount on our educational offerings. It's a win-win opportunity for both of you! To get started, simply refer your friend through this link and embark on your learning journey together, all while saving big on your educational pursuits.

Who will you learn from?

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Payment options

Opciones de pago

Opzioni di pagamento

Upfront + Success Fee

Pago completo

Pagamento completo

From 190*

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Full fixed payment or installments

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FAQs

Am I a good fit for this program?

You should apply if you identify yourself with any of these sentences:

  • I am a top university student with great potential to join Nova
  • I am a young professional with less than 3 YOE in any field and I am looking to break into a data career
  • I am an early-career Data worker looking to elevate my overall data understanding and skills from top data experts and entrepeneurs

What does this program include?

Being part of the Break Into Data cohort means you will have access to:

11 live sessions with experts on the Data industry founders of their own ongoing projects, an end-to-end data project to make the learning practical, and a cohort of top-talented fellows to meet.

What is the cost of this program?

Direct Enrollment

  • The program has a fixed fee of 590€ for Nova members with an active membership.
  • If you are not in this pool yet, the program has a fixed fee of 690€.

Success-Based Enrollment

  • Begin the program for an upfront fee of 190€ exclusive to Nova members with an active membership.
  • If you are not yet in this pool, the program has an upfront fee of 290€.
  • A success fee, paid if and only if you get hired for a product role. All the details will be sent to you after we receive your application.

Got any questions?

Your journey to becoming a sought-after professional starts here

Join the waitlist now

Your journey to becoming a sought-after professional starts here