Time Series Forecasting
About this Course
The Time Series Forecasting course provides students with the foundational knowledge to build and apply time series forecasting models in a variety of business contexts. 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 …
Time Series Forecasting
About this Course
The Time Series Forecasting course provides students with the foundational knowledge to build and apply time series forecasting models in a variety of business contexts. 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.
This course is part of the Business Analyst Nanodegree Program.
The Time Series Forecasting course provides students with the foundational knowledge to build and apply time series forecasting models in a variety of business contexts.
[
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.
,In this course, you’ll learn how to use advanced forecasting models to predict the future. You’ll learn this through improving your fluency in Alteryx, a data analytics tool that enables you prepare, blend, and analyze data quickly.
,This course is ideal for anyone who is interested in pursuing a career in business analysis, but lacks programming experience.
]
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.
