Learn How To Use A Time Series Forecasting Web App
3.8 (11 ratings)
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Learn How To Use A Time Series Forecasting Web App

A guide for using a statistical web app for producing forecasts by uploading data and downloading output
3.8 (11 ratings)
Instead of using a simple lifetime average, Udemy calculates a course's star rating by considering a number of different factors such as the number of ratings, the age of ratings, and the likelihood of fraudulent ratings.
1,877 students enrolled
Created by Joshua Callaway
Last updated 10/2016
English
Price: Free
Includes:
  • 2 hours on-demand video
  • 3 Supplemental Resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
What Will I Learn?
  • find information about using a forecasting app
  • use the forecasting app
  • view output inside the app
  • download output from the app
  • interpret output
View Curriculum
Requirements
  • Students should have an idea of how they would like to use a forecasting app, whether it be to forecast their business data, create easy automated forecasting reports, or learn forecasting techniques without learning to program.
Description

This is a course to demonstrate how to use a front-end statistical web app for producing automated time series forecasts along with statistical output.  Forecasting techniques are widely used across many industries for areas such as demand planning, inventory scheduling, operations management, and stock market analysis among many others.  Therefore, an app provides an excellent platform for those who want to create automated optimized time series forecasts along with downloadable data and reports.  This way, they can directly incorporate the data and reports into their business system without the tedious work of copy-and-paste.  In this course, the student will learn:

  1.  how to use a forecasting app
  2.  how the app works
  3.  how to view the output
  4.  how to download the output
  5.  how to understand the output from a broad level

The student will be presented with demos of the app using real world data examples.

Who is the target audience?
  • This course is best suited for those wanted to use advanced forecasting techniques without learning how to program the models
  • This course will be most beneficial to entrepreneurs, business launchers, and businesses who want to set up forecasting analytics for their companies data sets and/or databases at low cost and no software licensing requirements.
Compare to Other Forecasting Model Courses
Curriculum For This Course
11 Lectures
02:00:45
+
About Easy Forecasts
3 Lectures 17:50
Introduction
04:49

Overview of Premium Plans
06:01

Tutorial & Acceptable Data Formats
07:00
+
App Demo
2 Lectures 29:15
First App Demo: Airline Passengers
20:45

Second App Demo: Anti-Diabetic Drug Sales
08:30
+
Understanding the Output
4 Lectures 51:37
Time Series Models: Introduction
09:23

Time Series Models: Exponential Smoothing Techniques
19:25

Time Series Models: ARIMA Models
17:33

Accuracy Measures
05:16
+
More Examples
2 Lectures 22:03
Signing Up For Premium Plan
07:05

Forecasting Data With Multiple Instruments: Dow 30 Weekday Closing Prices
14:58
About the Instructor
Joshua Callaway
3.8 Average rating
11 Reviews
1,877 Students
1 Course

I began my analytical journey studying Biostatistics at the University of Arkansas for Medical Sciences in Little Rock, Arkansas while obtaining my Masters in Public Health.  Upon completing this degree, my desire to take my statistical knowledge to the next level led me to complete a Masters in Business Analytics at the University of Tennessee in Knoxville.  While doing this coursework, I worked as a half-time statistical consultant for statistics authority Bob Muenchen for the UT Office of Information Technology Research & Computing Support Group.  I have lived and worked in China, and explored Southeast Asia seeking new opportunities and exploring different cultures.