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Excel: Sales Forecasting

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Michael McDonald

1:22:56

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  • 001 Using Excel for sales forecasting.mp4
    01:05
  • 001 What is sales forecasting .mp4
    04:51
  • 002 Business intelligence and company sales.mp4
    04:11
  • 001 Conventional forecasting methods.mp4
    03:17
  • 002 Basics of business regression analysis.mp4
    05:22
  • 003 Predict values with regression analysis.mp4
    03:20
  • 004 Budgeting and forecasting using growth rates.mp4
    04:49
  • 001 Gather sales data.mp4
    04:14
  • 002 Using data from FRED.mp4
    04:43
  • 003 Clean sales data.mp4
    04:41
  • 004 Identifying outliers.mp4
    06:52
  • 005 What do the results mean .mp4
    05:23
  • 006 Confidence intervals around the result.mp4
    06:11
  • 007 Stress testing the results.mp4
    05:41
  • 001 Customer transaction forecasting.mp4
    05:25
  • 002 Running forecasts with non-numerical data.mp4
    05:11
  • 003 Interpreting your forecast.mp4
    06:16
  • 001 Running your own analysis.mp4
    01:24
  • Description


    Creating accurate and reliable sales forecasts is essential for any sales leader. Professor Michael McDonald shows how to use Excel to forecast sales more effectively, beginning with a quick primer on sales forecasting, then explaining the business intelligence used in forecasting and the basics of regression analysis. Next, Michael shows how to use Excel to gather the necessary data for your forecast, how to cleanse data so that it will lead to more accurate forecasts, and how to interpret and explain the results of a regression forecast. The course concludes with a sample project, forecasting sales for a fictional restaurant. In this sample project, you’ll construct a data set, compute a simple set of forecast metrics, and construct an in-depth sales forecast. Finally, Michael explains the limitations of sales forecasting and how you can mitigate risk.

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    Michael McDonald
    Michael McDonald
    Instructor's Courses
    LinkedIn Learning is an American online learning provider. It provides video courses taught by industry experts in software, creative, and business skills. It is a subsidiary of LinkedIn. All the courses on LinkedIn fall into four categories: Business, Creative, Technology and Certifications. It was founded in 1995 by Lynda Weinman as Lynda.com before being acquired by LinkedIn in 2015. Microsoft acquired LinkedIn in December 2016.
    • language english
    • Training sessions 18
    • duration 1:22:56
    • Release Date 2024/09/22