Ciro Santana
.WHAT.IF.
learn.
build.
decide.
2026
CERTIFICATE OF COMPETENCIES
THIS IS TO CERTIFY THAT
HAS SUCCESSFULLY COMPLETED THE TRAINING PROGRAM
Experimental Data Analysis Using Business Intelligence
Acquired Competencies
1. Data Acquisition & Modeling
The ability to connect to various data sources and transform the raw data into a clean, structured format that is ready for analysis.
2. Data Analysis & Visualization
The ability to perform various types of data analysis, such as summarization, aggregation, and correlation, and create compelling visualizations that help communicate insights and trends.
3. Dashboard & Report Design
The ability to design effective dashboards and reports that present data in a clear, concise, and visually appealing manner.
4. Data Security & Governance
The ability to ensure that data is secure and governed appropriately, and that data privacy laws and regulations are followed.
5. Collaboration & Sharing
The ability to collaborate with other team members, share data and insights, and promote a culture of data-driven decision making.
6. Continuous Improvement
The ability to continually monitor and improve data processes and analysis techniques, and stay up-to-date with the latest industry trends and best practices.
© .WHAT.IF. - All rights reserved
www.whatif.pt
info@whatif.pt
TRAINING DETAILS
Format:
Duration:
Completion Date:
Final Evaluation:
Joana Nabais
TRAINER
CCP n.º F700192/2020
Microsoft Certified: PBI Data Analyst n.º I679-1965
05/10/2026
Very Good
E-Learning
20h
Distributed by:
CS

Issued to

Ciro Santana

Want to report a typo or a mistake?

ORDER

Credential Verification

Issue date: October 5, 2026

ID: bbd20b6a-c42f-4efd-9a47-24ed8365996c

Issued by

.what.if.

Type

Certification

Level

Introductory

Format

Online

Duration

20 hours

Description

This hands-on training programme equips participants with the skills to collect, model and analyse experimental data using Microsoft Power BI. Participants learn to connect to multiple data sources, transform and clean raw data, and build interactive dashboards and reports that support data-driven decision-making in research environments. The programme covers data acquisition and modelling, statistical visualisation, dashboard design, DAX measures, data security and governance, and collaboration and sharing — with a strong focus on practical application to real experimental datasets.

Skills

Data Connection & Acquisition

Data Cleaning & Transformation

Data Modelling

DAX Fundamentals

Statistical Visualisation

Interactive Dashboard Design

Report Storytelling

Data Security & Governance

Publishing & Sharing

Earning Criteria

Participation

Participants must attend a minimum of 80% of the total training hours (15 out of 20 hours)

Assignment

Participants must achieve a minimum score of 10 out of 20 in a multiple-choice digital quiz

Watching

Participants must achieve a minimum score of 10 out of 20 in continuous evaluation throughout the programme