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Data & AI

Applied Data & AI for Fintech part2

Pre-registration for the Applied Data & AI for Fintech program is now available! Click on the button, and you will be redirected to a form to complete your application. Your application will then be evaluated, and selected candidates will be contacted for the next steps in the selection process. Pre-Registration is open until October 2nd 2026. Applications will be reviewed as they are received, so we encourage you to apply as soon as possible.

Submit a pre-registration request

The Applied Data & AI for Fintech program is a technical program dedicated to non-technical women and people from other underrepresented groups who are interested in making a career shift to IT.

Whether you're coming from a different industry or looking to pivot within your current tech-adjacent role, this program equips you with the skills and confidence needed to excel in the world of Business Intelligence.

What You'll Learn

  • Business Intelligence Fundamentals: Learn how to gather, analyze, and interpret data to make informed business decisions.
  • Hands-On Experience: Work on real-world projects to apply your learning and build a strong portfolio.
  • Soft Skills Empowerment: Enhance your communication, teamwork, and problem-solving abilities crucial in the IT industry.

Why Choose the BI Academy?

  • Tailored for Non-Technical Backgrounds: No prior IT experience required. We start from scratch and build your skills from the ground up.
  • Expert Instruction: Learn from experienced industry professionals passionate about helping women succeed in IT.
  • Supportive Community: Join a network of like-minded individuals, fostering collaboration and support throughout your journey.
  • Career Guidance: Access resources and mentorship to navigate job searches, interviews, and career advancement strategies.

Who Can Apply?

We are looking for ambitious and courageous non-technical women and people from other underrepresented groups from diverse backgrounds eager to transition to IT roles such as Business Analysts, Data Analysts, or Business Intelligence Specialists.

Content
  • Week 1 - Kick off
  • Week 2 – 7: SQL querying and recap
  • Week 8 – 13: BI development, recap, and cap-stone project creation
  • Week 14: Graduation ceremony

Learning Outcomes
  • Getting familiar with BI/IT terminology: Short intro on BI and IT most common used terms
  • Diving into data analysis: Diving into SQL basic concepts (operators, filters, joins, subqueries, set operators, functions)
  • Getting familiar with BI tools: Presenting multiple BI tools – focus on Power BI Desktop
  • Diving into BI Development: Intro to ETL process (Power Query)
  • Getting familiar with DAX syntax and working with variables
  • Data storytelling: Working with different type of visuals and adding value to report through insights

Training Method

The BI Academy is a hybrid course:

  • The first and last sessions will be held on site at DLH
  • The technical trainings will be held online

Certification
Certificate of Participation
Prerequisites
  • No technical knowledge is needed, but understanding reporting and/or data management can be an asset.
  • The students will need to commit to allocate 10h/week (training, Q&A session, homework, individual study).


Planning and location
Session 1
05/01/2027 - Tuesday
18:00 - 20:30
Session 2
07/01/2027 - Thursday
18:00 - 20:30
Session 3
12/01/2027 - Tuesday
18:00 - 20:30
Session 4
14/01/2027 - Thursday
18:00 - 20:30
Session 5
19/01/2027 - Tuesday
18:00 - 20:30
Session 6
21/01/2027 - Thursday
18:00 - 20:30
Session 7
26/01/2027 - Tuesday
18:00 - 20:30
Session 8
28/01/2027 - Thursday
18:00 - 20:30
Session 9
02/02/2027 - Tuesday
18:00 - 20:30
Session 10
04/02/2027 - Thursday
18:00 - 20:30
Session 11
09/02/2027 - Tuesday
18:00 - 20:30
Session 12
11/02/2027 - Thursday
18:00 - 20:30
Session 13
16/02/2027 - Tuesday
18:00 - 20:30
Session 14
18/02/2027 - Thursday
18:00 - 20:30
Session 15
23/02/2027 - Tuesday
18:00 - 20:30
Session 16
25/02/2027 - Thursday
18:00 - 20:30
Session 17
02/03/2027 - Tuesday
18:00 - 20:30
Session 18
04/03/2027 - Thursday
18:00 - 20:30
Session 19
09/03/2027 - Tuesday
18:00 - 20:30
Session 20
11/03/2027 - Thursday
18:00 - 20:30
Session 21
16/03/2027 - Tuesday
18:00 - 20:30
Session 22
18/03/2027 - Thursday
18:00 - 20:30
Session 23
23/03/2027 - Tuesday
18:00 - 20:30
Session 24
25/03/2027 - Thursday
18:00 - 20:30
Session 25
30/03/2027 - Tuesday
18:00 - 20:30
Session 26
13/04/2027 - Tuesday
18:00 - 20:30
Session 27
15/04/2027 - Thursday
18:00 - 20:30
Session 28
20/04/2027 - Tuesday
18:00 - 20:30
Session 29
22/04/2027 - Thursday
18:00 - 20:30
Session 30
24/04/2027 - Saturday
10:00 - 15:00
Available Edition(s):
0.00 € 0.00 €

Your trainer(s) for this course