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Excel Forecasting and Data Analysis

Instructor led classroom based course, regular London dates, courses never cancelled, warm restaurant lunch

STL

Summary

Price
£235 - £350 inc VAT
Finance options

Credit/debit card

Company invoice

Pricing ex VAT
Study method
Classroom
Duration
1 day · Part-time
Qualification
No formal qualification
Certificates
  • Certificate of completion - Free
Additional info
  • Tutor is available to students

Location & dates

Location

Address
Bloomsbury Square
Central London
London
WC1A2LP
United Kingdom
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Address
Northey Street
East London
London
E148BT
United Kingdom
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Overview

This Microsoft Excel Forecasting & Data Analysis course is aimed at people who want to expand their knowledge into forecasting and more specialised analytical functionality offered by Microsoft Excel.

At the end of this course you will understand how you can forecast in Excel using different methods based on seasonal, linear or exponential data. You will be able to calculate forecast errors to update your forecast model to assure more accurate forecasts. You will able to do trend analysis, break-even analysis, calculate correlation coefficient and creating statistical analysis using Excel's analysis toolpak.

You will also be able to clearly visualise trends and forecasts in Excel charts.

Course media

Description

Plan a forecast Model

Which data can be forecasted?
Set up the source data the right way to get an efficient model
Decide which method is the right for your data or should I use more methods?
How can I measure the accuracy of the forecast?
Which measurement method is the best for my data?
How can I track that I am using the right forecasting model over time
Maintenance of the forecast models

Forecasting Methods

Linear Regression
Forecast Function
Trend Function
Slope & Intercept Function
Exponential Regression
Growth Function
Exponential Smoothing
Data Analysis Tool Exponential Smoothing
Naïve Forecast
Moving Average
Data Analysis Tool Moving Average
Seasonal Forecasting

Measuring Forecast Accuracy

Forecast Error/Deviation
Forecast Absolute Error/Deviation
Forecast Percentage Error/Deviation
Forecast absolute percentage error/deviation
Square Error
Standard Error
MAD (Mean Absolute Deviation)
MSQ (Mean Square Error)
MPE (Mean Percentage Error)
MAPE (Mean Absolute Percentage Error)
TSE (Tracking Signal Error)

Using the solver to optimise forecasts

Optimise Exponential Smoothing Forecasts
Optimise Weighted Moving Average Forecasts
Optimise Seasonal Forecasts

Trends and forecasting using charts

Chart Types
Trendlines
Equations
R2
Visualise Forecasts & Forecast accuracy

Comparing Forecasting Methods and Models

Accuracy and visualisation

Manipulate Forecasts using What-If Analysis

Scenarios Manager
Goal Seek
Data Tables

Correlation Coefficient

Correl Function
The Data Analysis Tool Correlation
Display Correlation Coefficient in Scatter Chart

Break-Even Analysis

Break-Even Modelling
Calculate Break-Even
Visualise Break-Even
Use Goal Seek to analyse Break-Even

Data Analysis Tools

Descriptive Statistics
Histogram
Regression
Sampling
Rank & Percentile

Requirements

Completion of our Excel advanced course or equivalent knowledge.

Questions and answers

Certificates

Certificate of completion

Digital certificate - Included

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Legal information

This course is advertised on reed.co.uk by the Course Provider, whose terms and conditions apply. Purchases are made directly from the Course Provider, and as such, content and materials are supplied by the Course Provider directly. Reed is acting as agent and not reseller in relation to this course. Reed's only responsibility is to facilitate your payment for the course. It is your responsibility to review and agree to the Course Provider's terms and conditions and satisfy yourself as to the suitability of the course you intend to purchase. Reed will not have any responsibility for the content of the course and/or associated materials.

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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