Build product classification, demand forecasting and customer segmentation with real retail data. No heavy math required
Sub Category
- Data Science
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Objectives
- Build a product classification system using TF-IDF and Random Forest to automatically categorize thousands of products
- Create demand forecasts using Prophet algorithm and evaluate forecast quality for inventory planning decisions
- Develop customer segments using K-means clustering and RFM analysis to create actionable marketing strategies
- Calculate business ROI and translate machine learning metrics into dollar impacts that stakeholders understand
- Query and analyze large datasets using BigQuery and build models in Colab with free tools and no software installation
Pre Requisites
- Basic Python skills - able to read pandas dataframes and understand basic syntax
- Understanding of basic statistics like mean, median, standard deviation, and correlation
- Google account for BigQuery and Colab (both free, no credit card required)
- No machine learning experience required - we explain concepts visually and intuitively
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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