Retail Analytics via Excel and Python
Strengths
Advanced Forecasting Workflows
The curriculum moves beyond basic regression to include Artificial Neural Networks (ANN) and Recurrent Neural Networks (RNN), alongside hierarchical aggregation techniques.
Quantitative Pricing Discipline
Instruction covers specific economic models including price elasticity, logit functions, and multi-period markdown optimization using Excel Solver.
Limitations
Inconsistent Instructional Clarity
Some signals suggest difficulty following complex Python code, with mentions of assumed syntax knowledge and issues regarding video completion or delivery style.
Best suited to
- Retail analysts seeking deep learning applications
- Pricing managers moving from Excel to Python
- Data analysts entering the retail domain
Less suited to
- Learners requiring highly polished video production
- Those seeking purely introductory-level programming instruction









