
6 forecasting models | Sales & Demand Planning | Time Series Analysis | Prophet | ARIMA | Neural Networks | Ensemble
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
Requirements
- Basic statistics is needed
- Basic R desirable
Description
How many times have you wanted to predict the future?
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. Who is doing them? Well, that could be you!
WHY SHOULD YOU ENROLL IN THIS COURSE?
- YOU WILL LEARN THE INTUITION BEHIND THE TIME SERIES MODELS WITHOUT FOCUSING TOO MUCH ON THE MATH
- THOROUGH COURSE STRUCTURE OF MOST IMPACTFUL TIME SERIES FORECASTING MODEL TECHNIQUES
· Holt-Winters
· Sarimax
· TBATS
· Facebook Prophet
· Neural Networks AutoRegression
· Ensemble approach
- WE CODE TOGETHER LINE BY LINE
- YOU APPLY WHAT YOU ARE LEARNING IMMEDIATELY
Did I spike your interest? Join me and learn how to predict the future!
Who this course is for:
- Business and data analysts looking into learning about Forecasting
- Finance professionals wanting to modernize their forecasting proccesses
- General data-driven professionals who would like to learn about Forecasting
- Marketing experts interested in finding patterns in sales data