Forecasting Courses and Certifications

ExcelIsFun

Excel Business Analytics - Forecasting, Linear Programming, Simulation and More

3 ratings

Master Excel business analytics through forecasting, linear programming, Monte Carlo simulation, Power Query data transformation, and statistical modeling techniques.

• YouTube
• 19 hours 18 minutes
• Self-Paced
• Free Video

Excel Time Series Models for Business Forecasting

255 ratings at Coursera

Build time series forecasts in Excel: naïve, moving averages, trend-fitting, Holt's and Winters exponential smoothing, and decomposition, then optimise and compare models using error criteria.

• Coursera
• 6 weeks, 2 hours a week
• Self-Paced
• Paid Course

Time Series Analysis, Forecasting, and Machine Learning

3148 ratings at Udemy

Python for LSTMs, ARIMA, Deep Learning, AI, Support Vector Regression, +More Applied to Time Series Forecasting

• Udemy
• 23 hours 28 minutes
• Self-Paced
• Paid Course

Forecasting Models for Marketing Decisions

82 ratings at Coursera

Build forecasting models in Excel: identify components from historical patterns, score in-sample and out-of-sample performance, value customer equity, and run marketing mix regressions.

• Coursera
• 4 weeks, 3 hours a week
• Self-Paced
• Paid Course

Introduction to Time Series Analysis and Forecasting in R

2817 ratings at Udemy

Work with time series and all sorts of time related data in R - Forecasting, Time Series Analysis, Predictive Analytics

• Udemy
• 8 hours 33 minutes
• Self-Paced
• Paid Course

EDUCBA Career Certificate

Time Series Forecasting Toolkit: Excel, R, Python and EViews

65 ratings at Coursera

Build forecasting workflows across Excel, R, Python, and EViews using regression, exponential smoothing, ARIMA, SARIMA, and ARMA models.

• Coursera
• 4 weeks, 10 hours a week
• Self-Paced
• Paid Course
• 4 courses

Coursera

Time Series Mastery: Forecasting with ETS, ARIMA, Python

47 ratings at Coursera

Forecast future trends from historical data: apply Error-Trend-Seasonality (ETS), ARIMA and advanced forecasting techniques in Python to unravel patterns and make accurate predictions.

• Coursera
• 2 hours 20 minutes
• Self-Paced
• Paid Course

EDUCBA

Regression & Forecasting for Data Scientists using Python

43 ratings at Coursera

Build time-series forecasts and linear regression models in Python: decompose trends and seasonality, apply ARIMA and exponential smoothing, handle missing values, outliers, and feature scaling.

• Coursera
• 4 weeks, 3 hours a week
• Self-Paced
• Paid Course

Demand Forecasting Using Time Series

39 ratings at Coursera

Learn time series fundamentals — stationarity, trend, seasonality, autocorrelation — then predict demand with lagged regression and ARIMA models in Python.

• Coursera
• 4 weeks, 2 hours a week
• Self-Paced
• Paid Course

EDUCBA

Master Time Series Forecasting with R: Analyze & Predict

21 ratings at Coursera

Build time series forecasts in R: apply simple, multiple and non-linear regression, decompose trend and seasonality, and fit exponential smoothing, ARIMA and SARIMA with ACF/PACF diagnostics.

• Coursera
• 3 weeks, 3 hours a week
• Self-Paced
• Paid Course

Packt

A Practical Approach to Timeseries Forecasting Using Python

Forecast time series in Python: slice and visualize data, run stationarity checks, noise reduction and resampling, then build ARIMA, SARIMA, LSTM, BiLSTM and GRU models.

• Coursera
• 9 weeks, 2 hours a week
• Self-Paced
• Paid Course

Building Demand Forecasting with BigQuery ML

This is a self-paced lab that takes place in the Google Cloud console. In this lab you will build a time series model to forcast demand of multiple products using BigQuery ML. This lab is based on a blog post and featured in an episode of Cloud OnAir.

• Coursera
• 1 hour
• Self-Paced
• Paid Course

Coursera

Market Analysis and Trend Forecasting with Data

Build defensible market forecasts and entry recommendations: size markets with TAM, SAM and SOM, apply moving averages and exponential smoothing, and score opportunities in executive briefs.

• Coursera
• 4 weeks, 2 hours a week
• Self-Paced
• Paid Course

Packt

Time Series Forecasting with Facebook Prophet in Python

Forecast time series with Facebook Prophet in Python: set baselines and metrics, fit models, add holidays and regressors, detect changepoints, and handle seasonality and outliers.

• Coursera
• 3 weeks, 1 hour a week
• Self-Paced
• Paid Course

Board Infinity

Time Series Forecasting with Python: Models to Production

Build an end-to-end forecasting system for chip sales and NVIDIA stock: ARIMA, SARIMAX, Prophet, XGBoost, LSTM and Temporal Fusion Transformers, deployed via FastAPI and Streamlit.

• Coursera
• 4 weeks, 3 hours a week
• Self-Paced
• Paid Course