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Statistics - Identifying Trends and making Forecasts

21 & 22 October 2024


Royal Statistical Society

Summary

Price
£427.20 - £592.80 inc VAT
Study method
Online + live classes
Duration
2 days · Part-time
Qualification
No formal qualification
Certificates
  • Certificate of Attendance - Free
Additional info
  • Tutor is available to students

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Dates

Start date
End date
21/10/2024
22/10/2024

Overview

This course is being held twice in 2021. and the second course is on 21 & 22 October 2024

This course looks at one of the big questions in businesses -- what is going to happen next. It would be so much easier to plan sales, purchases, production, staff and logistics if we knew the answer to this question! Many businesses know how important it is to forecast for the future, yet many fail to apply the fundamental concepts of statistical forecasting. Those that don’t use statistical forecasting face higher costs and uncertainty when reality diverges from their plans. Those that do use statistical forecasting are able plan for the future much more effectively and efficiently.

Description

If you’re looking to improve the way you plan your work and improve efficiency by introducing statistical forecasting, then this course is ideal. By the end of the session you will have a firm grasp of how to summarise and measure trends, as well as how to extrapolate trends into a forecast. You will also have a good understanding of how to perform relevant calculations in Excel.


This course looks at one of the big questions in businesses -- finding out what is going to happen next. It would be so much easier to plan sales, purchases, production, staff and logistics if we knew the answer to this question! Many businesses know how important it is to forecast for the future, yet many fail to apply the fundamental concepts of statistical forecasting. Those that don’t use statistical forecasting face higher costs and uncertainty when reality diverges from their plans. Those that do use statistical forecasting are able plan for the future much more effectively and efficiently.

Learning Outcomes

  • Understand the distinction between sober & drunk time series (seriously!)

  • Learn how to use hypothesis testing to confirm that a trend is a genuine trend.

  • Learn how to use moving averages correctly to identify potential turning points.

  • Discover the simplest method of identifying seasonality in your time series and to confirm it with hypothesis test.

  • Uncover the basic principles of statistical process control and how you can use it to confirm deviations from an expected trend.

  • Learn 4 different ways of extrapolating an existing trend to produce forecast.

Topics Covered

Time series analysis, forecasting, trend identification, seasonality, moving averages, trend extrapolation, statistical process control, forecasting using extrapolations.

Who is this course for?

Anyone involved in business planning, performance analysis and other similar roles that require analyses of historical trends and extrapolation of those trends to create forecasts.

Requirements

This course would be suitable for anyone who has completed our two day "Basic Statistics" course.

Other participants should ideally have an understanding of the following:

  • Basic statistical concepts including expectation, variance, distribution and correlation.
  • Probability and risk
  • Know how to calculate of confidence intervals for the mean of 1 sample and the difference in means between 2 samples.
  • Know how to calculate the slope and intercept of a simple regression models with 1 variable
  • Use of Microsoft Excel formulae such as IF, VLOOKUP, OFFSET, etc.
  • Produce and interpret line charts, column charts and scatter plots in Excel.

Questions and answers

Certificates

Certificate of Attendance

Digital certificate - Included

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FAQs

Study method describes the format in which the course will be delivered. At Reed Courses, courses are delivered in a number of ways, including online courses, where the course content can be accessed online remotely, and classroom courses, where courses are delivered in person at a classroom venue.

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