Python: Apply & Evaluate Sales Forecasting with Time Series
Completed by MUHAMMAD SALEEM Malik
November 20, 2025
5 hours (approximately)
MUHAMMAD SALEEM Malik's account is verified. Coursera certifies their successful completion of Python: Apply & Evaluate Sales Forecasting with Time Series
What you will learn
Preprocess and decompose time series data to uncover patterns and trends.
Build and evaluate SARIMA models for robust sales forecasting in Python.
Apply Prophet to model trend, seasonality, and holidays for accurate forecasts.
Skills you will gain
- Category: Forecasting
- Category: Data-Driven Decision-Making
- Category: Python Programming
- Category: Predictive Modeling
- Category: Exploratory Data Analysis
- Category: Model Training
- Category: Data Preprocessing
- Category: Feature Engineering
- Category: Time Series Analysis and Forecasting
- Category: Predictive Analytics
- Category: Trend Analysis
- Category: Data Transformation
