AI for Data Science | OEM Learning Journey
AI is fundamentally transforming data science. It automates time-consuming tasks like data cleaning and model building, and offers advanced analytics capabilities via NLP and predictive modelling. This learning journey introduces AI concepts, ethical considerations and practical applications for data professionals.
What will you learn?
- Data science basics: clean, analyse and visualise data with Python
- Apply foundational AI methods including generative models and LLMs
- Use deep learning and neural networks for complex data analysis
- Explore generative AI models and transformers: autoencoders, VAEs and GANs
- Implement fine-tuning and RAG with Hugging Face
- Perform NLP tasks: sentiment analysis, NER and text generation
Learning path (100+ hours)
Track 1: Data Science Foundations — 7h courses, 22h labs, 25h IA
Basics of cleaning, analysing and visualising data with Python, pandas and seaborn.
Track 2: AI for Data Science: Activate — 14h courses, 1h IA
Introduction to foundational data science methods, GANs, VAEs, LLMs and GPT models.
Track 3: AI for Data Science: Accelerate — 13h courses, 1h labs, 1h IA
Generative AI models and transformers: autoencoders, VAEs, GANs, RNNs and transformers.
Track 4: AI for Data Science: Transform — 12h courses, 1h labs, 3h IA
Fine-tuning and RAG with Hugging Face. NLP tasks and extending LLMs with memory and retrieval.
What is included?
- 100+ hours: courses, labs and interactive exercises
- Mentor guidance and assessments
- E-books
Who is this for?
Data scientists, data analysts and ML engineers who want to integrate AI into their data science work.
Get started
Contact us via our contact form or call +31 (0)36 760 10 19.
