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

It is crucial that you know why a model makes sense and the underlying assumptions behind it. I will explain to you each model using words, graphs, and metaphors, leaving math and the Greek alphabet to a minimum.

THOROUGH COURSE STRUCTURE OF MOST IMPACTFUL TIME SERIES FORECASTING MODEL TECHNIQUES

The techniques in this course are the ones I believe will be most impactful, up to date, and sought after:

· Holt-Winters

· Sarimax

· TBATS

· Facebook Prophet

· Neural Networks AutoRegression

· Ensemble approach

WE CODE TOGETHER LINE BY LINE

I will guide you through every step of the way in your journey to master time series and forecasting models. I will also explain all parameters and functions that you need to use, step by step.

YOU APPLY WHAT YOU ARE LEARNING IMMEDIATELY

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 Peyton Manning.

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

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