Predict what comes next. Forecast with data. Master time-series analysis to model trends and predict the future.
Hands-on with Python — from decomposition and ARIMA to modern forecasting on real time-based data.
Understand trend, seasonality and patterns.
Predict sales, demand, prices and more.
Forecasting drives planning everywhere.
Time Series Analysis & Forecasting teaches you to model data that changes over time and predict what comes next. Using Python on real time-based data, you'll master decomposition (trend and seasonality), classical models like ARIMA, and modern forecasting approaches — the skills behind sales forecasting, demand planning and financial prediction.
Python & stats basics! Comfort with Python and basic statistics are recommended. Ideal for analysts and data scientists.
Earn the "Time Series Analyst" badge upon completing all modules and the hands-on final assessment.
Verifiable CredentialComponents, stationarity and visualisation.
Trend, seasonality and exponential smoothing.
AR, MA, ARIMA and SARIMA forecasting.
Prophet and ML-based forecasting.
Backtesting and a real forecasting project.
Predict trends and future values.
Forecast sales, inventory and demand.
Model and forecast financial series.
Add forecasting to your toolkit.
Comfort with Python and basic statistics is recommended. We reinforce the essentials, and everything is practised on real time-based data.
A laptop; we use free tools — Python, Pandas, statsmodels and Prophet on Jupyter/Colab, with set-up help provided.
To receive the Edmire Time Series Analyst Certificate, complete all 5 modules and the capstone — a validated forecast on real data. Resubmission is free if needed.
Sales and demand forecasting, finance, inventory, energy, web traffic and any planning that depends on predicting future values from history.
Classroom training at our Dubai centre, live online instructor-led classes, or custom in-house delivery — with all materials yours to keep.
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