Sales Forecasting and Analytics
( 25 Modules )

Module #1
Introduction to Sales Forecasting
Overview of sales forecasting, its importance, and applications in business

Module #2
Types of Sales Forecasting
Exploring the different types of sales forecasting techniques and their uses

Module #3
Data Preparation for Sales Forecasting
Collecting, cleaning, and preparing data for sales forecasting models

Module #4
Time Series Analysis
Understanding time series components, patterns, and techniques for analysis

Module #5
Moving Averages and Exponential Smoothing
Applying moving averages and exponential smoothing to time series data

Module #6
ARIMA and ETS Models
Introduction to ARIMA and ETS models for time series forecasting

Module #7
Regression Analysis for Sales Forecasting
Using regression models to forecast sales based on historical data

Module #8
Machine Learning for Sales Forecasting
Applying machine learning algorithms to improve sales forecasting accuracy

Module #9
Ensemble Methods and Model Selection
Combining models and selecting the best approach for sales forecasting

Module #10
Judgmental Adjustments and Overrides
When and how to apply judgmental adjustments to sales forecasts

Module #11
Sales Forecasting for Specific Industries
Industry-specific considerations and best practices for sales forecasting

Module #12
Sales Forecasting Metrics and KPIs
Defining and tracking key performance indicators for sales forecasting

Module #13
Setting Up a Sales Forecasting Process
Establishing a sales forecasting process within an organization

Module #14
Sales Analytics Fundamentals
Introduction to sales analytics, its importance, and applications

Module #15
Data Visualization for Sales Analytics
Effective data visualization techniques for sales analytics insights

Module #16
Sales Funnel Analysis
Analyzing the sales funnel to identify opportunities and inefficiencies

Module #17
Customer Segmentation and Profiling
Segmenting and profiling customers to inform sales strategies

Module #18
Channel and Product Analysis
Analyzing sales data by channel and product to optimize performance

Module #19
Pricing and Discounts Analysis
Analyzing the impact of pricing and discounts on sales performance

Module #20
Predictive Modeling for Sales Analytics
Applying predictive modeling techniques to forecast customer behavior

Module #21
Storytelling with Data
Effectively communicating insights and results to stakeholders

Module #22
Sales Forecasting Tools and Technologies
Overview of sales forecasting software, platforms, and tools

Module #23
Data Management for Sales Analytics
Managing and maintaining data quality for sales analytics

Module #24
Implementation and Maintenance of Sales Forecasting Models
Best practices for implementing and maintaining sales forecasting models

Module #25
Course Wrap-Up & Conclusion
Planning next steps in Sales Forecasting and Analytics career

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Sales Forecasting and Analytics ( 25 Modules )

Sales Forecasting and Analytics
( 25 Modules )