Time Series Modeling in Excel, R, and Power BI/ with Helen Wall.

Format:

Video

Author/Creator:

Wall, Helen, speaker.

Contributor:

linkedin.com (Firm)

Language:

English

Genre:

Instructional films.

Educational films.

Physical Description:

1 online resource

Place of Publication:

Carpenteria, CA: linkedin.com, 2023.

System Details:

Latest version of the following browsers: Chrome, Safari, Firefox, or Internet Explorer. Adobe Flash Player Plugin. JavaScript and cookies must be enabled. A broadband Internet connection.

Summary:

Take a deep dive into advanced data analytics methods by learning how to run time series models in Excel, R, and Power BI.

The use of time series models has become a central topic in today's data science world. In this course, instructor Helen Wall shows you how to run autoregressive integrated moving average (ARIMA) models as predictive, time series modeling tools in Excel, R, and Power BI. Explore the building blocks of a time series decomposition, which lets you make data forecasts with accuracy, consistency, and ease. Take a deep dive into the fundamentals of autoregressive coefficients, autocorrelation, moving average coefficients, stationarity and random walks with integrated components, and how to forecast time series models using Power BI. By the end of this course, you'll be ready to start wielding your new data analytics skills to make more timely and effective decisions for your business.

Participant:

Presenter: Helen Wall

Notes:

3/23/2023

Access Restriction:

Restricted for use by site license.