13 Oct Statistics 5: Time Series Tutorial and Problem Sets Now Available
MBTN Academy announces the beta release of Statistics 5: Time Series authored by Alexander Skvorchevsky. If there’s one thing every business would like to be able to do, it is predicting the future. What will our sales be next quarter? What is the likely movement of currency exchange rates in my target geographic markets? What is the impact of seasonality on inventory management? What are the daily (weekly, monthly, etc.) cycles for the foot traffic in my channel? One way to uncover insights into the future is using time series analysis.
The Statistics 5 tutorial includes the following topics and provides a great introduction to the principles of time series analysis and forecasting:
- Examples of data sets that are appropriate for time series analysis and forecasting
- Components of time series analysis (trend, cyclical, seasonal, stochastic)
- The four types of cyclical classifications according to Joseph Schumpeter
- Deterministic and stochastic approaches to business cycles
- Use of the sinusoid waveform and equation to describe seasonal business cycles
- Three general forecasting methodologies for time series analysis
- Additive and multiplicative models of time series decomposition
- Use of Excel in time series analysis and forecasting
Statistics 5 consists of 39 slides and 4 problem sets consisting of 23 total questions and is generally appropriate for MBA and advanced undergraduate classes. MBTN faculty may add this module to Fall 2022 and Spring 2023 classes at no additional cost for students. Learn more about this module and all MBTN modules at https://www.mbtn.academy/our-modules/
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