Building Your First Classification Model in Python with Scikit-learn

Free Live ML Workshop #4 on Oct 1 - Register Now

dotsdots

Master in Data Sciences & Business Analytics (DSBA)

Description

Fully hybrid between Data Sciences, Business Analytics & Digital Strategy. Students must master theory, methodology, uses and applications. 50% of students have a background in Engineering, Mathematics or Computer Science and 50% have studied Economics or Management before. Also, 50% have some professional experience. Students can take up to 18 advanced elective courses without limitations.Read more.

Career Relevance by Data Role

The techniques and tools covered in Master in Data Sciences & Business Analytics (DSBA) are most similar to the requirements found in Data Scientist job advertisements.

Similarity Scores (Out of 100)

Subscribe for Updates

search
Or create a Datakewry.com Account