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WIZAPE
Apprentice Mode
10 Modules / ~100 pages
Wizard Mode
~25 Modules / ~400 pages

Advanced Retail Sales Analysis
( 25 Modules )

Module #1
Introduction to Advanced Retail Sales Analysis
Overview of the importance of sales analysis in retail and objectives of the course
Module #2
Understanding Retail Data
Types of retail data, data sources, and data quality issues
Module #3
Retail Sales Metrics
Key performance indicators (KPIs) for retail sales, including sales growth, conversion rates, and average transaction value
Module #4
Data Visualization for Retail Sales
Using charts, graphs, and other visualizations to communicate sales insights
Module #5
Retail Sales Forecasting
Methods for forecasting retail sales, including time series analysis and regression modeling
Module #6
Market Basket Analysis
Analyzing customer purchasing behavior and relationships between products
Module #7
Customer Segmentation
Methods for segmenting customers based on demographics, behavior, and preferences
Module #8
Pricing and Markdown Optimization
Analyzing the impact of pricing and markdown strategies on sales and profitability
Module #9
Promotion and Advertising Effectiveness
Evaluating the ROI of promotions and advertising campaigns
Module #10
Inventory Management and Optimization
Analyzing the impact of inventory levels on sales and profitability
Module #11
Supply Chain Analytics
Analyzing the impact of supply chain dynamics on retail sales
Module #12
Working with External Data Sources
Integrating external data sources, such as weather and economic data, into retail sales analysis
Module #13
Competitor Analysis
Analyzing sales data from competitors to gain insights into market trends
Module #14
Store Operations Analytics
Analyzing the impact of store operations, such as staffing and layout, on sales performance
Module #15
Omnichannel Retailing
Analyzing sales data across online and offline channels
Module #16
Sales Trend Analysis
Identifying and analyzing trends in retail sales data
Module #17
Seasonality and Holidays
Analyzing the impact of seasonality and holidays on retail sales
Module #18
Geographic Sales Analysis
Analyzing sales data by geographic region and market
Module #19
Product Lifecycle Analysis
Analyzing the sales performance of products throughout their lifecycles
Module #20
Assortment Optimization
Optimizing product assortments to maximize sales and profitability
Module #21
Sales Forecasting for New Products
Forecasting sales for new products and product lines
Module #22
Advanced Analytics Techniques
Applying machine learning and advanced statistical techniques to retail sales analysis
Module #23
Building a Retail Sales Analysis Team
Organizing and managing a team of analysts to support retail sales analysis
Module #24
Communicating Insights to Stakeholders
Effectively communicating sales insights and recommendations to stakeholders
Module #25
Course Wrap-Up & Conclusion
Planning next steps in Advanced Retail Sales Analysis career


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