I challenged myself with an in-depth syllabus covering the origin of data science to probabilities to Generative AI!
You don't need to be a coder (although it may help tremendously) to have access to no-code tools (RapidMiner, KNIME and Dataiku) enabling you to use and interpretate data in a meaningful way for business and operations.
I learned the hardcore theory but could apply the techniques in 3 assignments.
The syllabus covers a full range of topics:
Data exploration (structured, unstructured and temporal)
Prediction methods based on regression and neural networks
Computer vision methods
Recommendation/decision
Prompt engineering
and, and, and...
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