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Data & AI

Learning Track: Analytics and BI

Pre-registration for the Analytics and BI Track 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 14 February 2025. Applications will be processed after that date.

Submit a pre-registration request

The Analytics and BI learning track 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 Analytics and BI Track?

  • 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 Analytics and BI Track is a hybrid program: the first session (kick-off), a second session in the middle of the learning path, and the last session will be held on site at DLH; all other sessions will be conducted 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
07/03/2026 - Saturday
10:00 - 14:00
Session 2
09/03/2026 - Monday
18:00 - 21:00
Session 3
12/03/2026 - Thursday
19:00 - 21:00
Session 4
16/03/2026 - Monday
18:00 - 21:00
Session 5
19/03/2026 - Thursday
19:00 - 21:00
Session 6
23/03/2026 - Monday
18:00 - 21:00
Session 7
26/03/2026 - Thursday
19:00 - 21:00
Session 8
30/03/2026 - Monday
18:00 - 21:00
Session 9
02/04/2026 - Thursday
19:00 - 21:00
Session 10
14/04/2026 - Tuesday
18:00 - 21:00
Session 11
16/04/2026 - Thursday
19:00 - 21:00
Session 12
25/04/2026 - Saturday
10:00 - 14:00
Session 13
27/04/2026 - Monday
18:00 - 21:00
Session 14
30/04/2026 - Thursday
19:00 - 21:00
Session 15
04/05/2026 - Monday
18:00 - 21:00
Session 16
07/05/2026 - Thursday
19:00 - 21:00
Session 17
11/05/2026 - Monday
18:00 - 21:00
Session 18
13/05/2026 - Wednesday
19:00 - 21:00
Session 19
18/05/2026 - Monday
18:00 - 21:00
Session 20
21/05/2026 - Thursday
19:00 - 21:00
Session 21
26/05/2026 - Tuesday
18:00 - 21:00
Session 22
28/05/2026 - Thursday
19:00 - 21:00
Session 23
01/06/2026 - Monday
18:00 - 21:00
Session 24
04/06/2026 - Thursday
19:00 - 21:00
Session 25
08/06/2026 - Monday
18:00 - 21:00
Session 26
11/06/2026 - Thursday
19:00 - 21:00
Session 27
15/06/2026 - Monday
18:00 - 20:00
Session 28
22/06/2026 - Monday
18:00 - 20:00
Session 29
27/06/2026 - Saturday
10:00 - 14:00
Available Edition(s):

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240.00 € 240.0 EUR 240.00 €

240.00 €

Not Available For Sale

Your trainer(s) for this course
Alexandra Nastase
See trainer's courses.
Aymen Elloumi
See trainer's courses.