Master advanced retail analytics concepts with expert-level content and cutting-edge techniques.
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Advanced statistics, experimental design, causal inference
Expert data science skills; big data tools experience
Follow these courses in order to complete the learning path. Click on any course to enroll.
State-of-the-Art Machine Learning Papers Implementation
Complete natural language processing specialization covering transformers, attention mechanisms, and modern NLP techniques.
A talk from the Spark/AI Summit about the Hopsworks Feature Store and its integration with Databricks. It explains how the feature store centralizes features for easier discovery, governance, and reuse.
A live event for data scientists and ML Ops engineers to understand the relevance of feature stores in real-time ML. It provides hands-on experience using Feast to store, manage, and serve features.
Explore related content to expand your skills beyond this learning path.
Master advanced retail analytics concepts with expert-level content and cutting-edge techniques.
You'll work through Master cutting-edge techniques and research; Handle complex, production-scale systems; Contribute to open source and research; Perform exploratory data analysis (EDA) on complex datasets; Clean and preprocess data for analysis; Create compelling data visualizations.
About 150 hours of study across 5 courses — and you can go at your own pace.
It's pitched at advanced level, so a little prior familiarity helps.
5 curated courses, sequenced from foundational to advanced.
Around $20 total if you buy every course — but many include free audit options.
Enroll in this path to track your progress and stay motivated.