Time Series Forecasting (Udacity)

You will learn:

- The key components of time series data and forecasting models

- How to use ETS (Error, Trend, Seasonality) models to make forecasts

- How to use ARIMA (Autoregressive, Integrated, Moving Average) models to make forecasts

Throughout this course you’ll also learn the techniques to apply your knowledge in a data analytics program called Alteryx.

Predictive analytics has proved to be a powerful tool to help businesses analyze data and predict future outcomes and trends. Making forecasts using advanced analytics is crucial in today’s data-driven economy.

This course is ideal for anyone who is interested in pursuing a career in business analysis, but lacks programming experience.

This course is part of the Business Analyst Nanodegree Program.

What You Will Learn

Lesson 1

Time Series Fundamentals

- Learn what attributes make data a time series.

- Get introduced to a variety of simple forecasting methods.

- Learn about seasonality, trends, and cyclical patterns.

Lesson 2

ETS Models

- Learn how to build and use ETS models.

- Use decomposition plots to visualize time series data.

- Get practice building an ETS model in Alteryx.

Lesson 3

ARIMA Models

- Learn how to build and use ARIMA models.

- Learn the techniques used in seasonal and non-seasonal ARIMAs.

- Get practice building an ARIMA model in Alteryx.

Lesson 4

Analyzing and Visualizing Results

- Learn how to interpret time series model results.

- Learn how to use holdout samples to compare forecasting models.

- Visualize your forecasts through various plots.

Prerequisites and Requirements

- No programming experience required.

- Interested in using data to make better business decisions.

- Alteryx license (provided to Nanodegree students at no cost, compatible with Windows only)