With an average of 1 evening class per week, the evening course takes 1 year to complete. Part of the course can be organised via digital distance teaching.

DATA ANALYST:

– Data Structure & Modelling 32h
– Data Management (Data Preparation) 36h
– Data Management (Advanced) 28h
– BI & Visualisation 36h
– GDPR 4h
– Final exam 1h

The first module is fairly theoretical, but after that we get practical with SQL, SAS and Power BI. Programming in R or Python is not part of the curriculum.

This training is set up on a BYOD or ‘bring your own device’ basis. You will need your own computer to take the course. This can be either a MAC or PC with a current configuration. It is not uncommon for you to continue working on an assignment at home.
Our organisation is committed to a sustainable and environmentally friendly way of working. For this reason, we offer all our courses and learning materials (instructional videos, exercises, etc.) digitally on our learning platform. Do you still want to print your courses? You will be responsible for printing and related costs.

Data analysis professionals have a natural aptitude for mathematics, coupled with a keen interest in statistics and data interpretation. Key attributes include strong analytical skills to tackle complex problems and effective communication skills to articulate findings.

This course is aimed at a diverse audience, including Chief Information Officers (CIOs), IT managers, business analysts, developers, marketers and database administrators (DBAs) who want to deepen their understanding of data analysis.

While there are no strict eligibility requirements beyond being at least 18 years of age or having completed compulsory education, participants are expected to:
&, 8211; Demonstrate a solid affinity for mathematics, logic and basic statistics, which are essential for optimal engagement with the course material.
&, 8211; Be proficient in Microsoft Excel, as familiarity with SAS and Power BI will be provided during the course.
&, 8211; Have a functional knowledge of English to facilitate effective learning and communication.