Data & AI
Data Science Course for Intermediates
Data science turns raw data into decisions. These tracks follow the full workflow: asking a good question, cleaning data, analysing it and communicating findings to people who will act on them.
For learners who already know the fundamentals and want to go deeper. We focus on patterns, trade-offs and the details that separate working code from working code.
What you will learn
- Data cleaning and validation
- Exploratory analysis
- Statistical foundations
- Model building
- Communicating results
What you will be able to do
- Analyse a messy dataset end to end
- Build and evaluate a predictive model
- Present findings non-technically
Tools and technologies
Related topics
Python Programming
Python is the most-used language for automation, data and AI, and one of the friendliest for complete beginners. These tracks build real working projects from the first lesson.
Machine Learning
Machine learning is about fitting models to data rather than writing rules by hand. These tracks focus on the intuition and evaluation discipline that separates a working model from a lucky one.
SQL
SQL is the universal language for asking questions of data and a top-required analytical skill across every industry. These courses are deliberately vendor-neutral and driven by real questions.
Power BI
Power BI is Microsoft's business intelligence tool and a common requirement on data and operations roles. These tracks take you from raw files to a shared, credible dashboard.
Frequently asked questions
Is this Data Science course for intermediates right for me?
For learners who already know the fundamentals and want to go deeper. We focus on patterns, trade-offs and the details that separate working code from working code. It is designed for learners who want data science instruction for intermediates on Univoma.
Do I get a certificate after the Data Science course?
Yes. Completing the Data Science course for intermediates and submitting the assessed practical work earns a verifiable completion certificate that you can add to your CV and professional profiles.
Do I need prior experience for data science?
No. Univoma has beginner, intermediate and advanced data science tracks, so you can start from zero or skip ahead to the level that matches your experience.