Forecasting Models & Time Series Analysis for Business in R
Forecasting Models & Time Series Analysis for Business in R
Time Series Analysis for Data Science & Analytics in R programming. Demand Planning & Forecasting. Prophet, ARIMA & more
Created by Diogo Alves de Resende | 9 hours on-demand video course
Welcome to the most exciting online course about Forecasting Models and Time Series in R. I will show everything you need to know to understand the now and predict the future. Forecasting is always sexy – knowing what will happen usually drops jaws and earns admiration. On top, it is fundamental in the business world. Companies always provide Revenue growth and EBIT estimates, which are based on forecasts.
At the end of each section regarding forecasting techniques, you are shown an exercise to apply what you learn immediately. If you do not manage? Don’t worry! We also code together line by line the solutions. The challenges range from predicting the interest in Churrasco (Brazilian BBQ) to the Wikipedia visitors of Udemy.
What you’ll learn
- Most prominent Forecasting models
- Arima, Sarima and Sarimax
- Exponential Smoothing and Holt-Winters
- TBATS
- Facebook Prophet
- Neural Networks AutoRegression
- Ensemble Forecast
- Seasonal Decomposition
- Time Series Analysis
Recommended Course
Time Series Analysis, Forecasting, and Machine Learning in Python
