What you’ll learn
Make decisions based on business data
You will learn how to use Google Sheets
You will understand how and why to smooth data and pick the best approach to apply
You will learn easy to understand, powerful forecasting techniques than can be easily implemented in a spreadsheet
You will learn how to transform data to make forecasting easier and more accurate
You will understand how to use charts to analyze data quickly and guide your analyses.
You will enhance your business skills and make more money!
“Preamble
Introductory remarks
“Introdution
Why you will benefit from this course
The benefits of Google Sheets
Google Trends shows why you should take this course.
Creating a Google Account
Creating your first Spreadsheet
Introduction
2 questions
“What is Forecasting?
Extrapolation and Forecasting
Simple Forecasting with slope and intercept
Slopes, intercepts and Forecasting
2 questions
Using the FORECAST function
Forecasting volatility
1 question
“Smoothing Data
Averages
Moving Averages
Choosing a Moving Average
Weighted Averages
Averages Quiz
3 questions
Exponential Smoothing
Exponentially smoothed forecast
1 question
Smoothing data
“Extracting Trends
Trendline Types
Simple Linear Trends
Non-Linear Trendlines
Finding Trendlines
Transforming Data with Logarithms
Real World Example – Stock Dividends
Real World Example – Atmospheric CO2 levels
Experience Curves
Extracting Trends
6 questions
“Non Seasonal and Seasonal Sales Data Forecasting
Non-Seasonal Sales using Moving Averages
Seasonal Sales Forecasting 1
Sales Forecasting
3 questions
“Charts – SHOULD THIS BE EARLIER B4 ANALYSIS?
Which Types of Chart to use for Forecasting
Charts
5 questions
“Modeling Profits and Cash Flow
Where is the company overdraft coming from?
“Creating Your Own Functions
Scripting a custom exponential smoothing function
Decisons, Decsisions
Scripting
4 questions
“Other Tasks
Uploading and downloading spreadsheets
Collaborating on the same worksheet
Embedding a live spreadsheet into a web page
Miscellaneous
4 questions
+12: Avoiding Analytic Mistakes
Introduction to Errors
Detrending data series
Common Correlation issues
+Summing Up
Review