Making Numerical Predictions for Time Series Data: Part 1 of 3

Welcome to the Course

Course Trailer

Preview

Introduction

A look at Time Series Data

Preview

Moving Averages

Predicting using Descriptive Statistics

Predicting using Moving Averages

Practice Data

Centred Moving Averages

Preview

Weighted Moving Averages

Calculating Standard Deviation for Prediction made using Moving Averages

Predicting for Seasonal Data

Linear Regression

Calculating Correlations

Preview

Linear Regression

Linear Regression - Demonstration

Worked Out Example - Linear Regression

Linear Regression using LINEST() function

Worked Out Example - Linear Regression using LINEST()

Predicting using TREND() function

Worked Out Example - Predicting with TREND()

Linear Regression using Data Analysis ToolKit

Worked Out Example - Linear Regression using Data Analysis ToolKit

Linear Regression = Level-Level Regression

Multi-Variate Linear Regression

Worked Out Example - Multi-Variate Linear Regression

Exponential Regression

Exponential Regression using a Linear Model

Worked Out Example - Exponential Regression using a Linear Model

Optimising Exponential Regression using Solver

Worked Out Example - Optimising Exponential Regression using Solver

Exponential Regression using LOGEST()

Preview

Worked Out Example - Exponential Regression using LOGEST()

Multi-Variate Exponential Regression

Worked Out Example - Multi-Variate Exponential Regression

Power Regression

Power Regression using Linear Model

Worked Out Example - Power Regression using Linear Model

Multi-Variate Power Regression

Worked Out Example - Multi-Variate Power Regression

Logarithmic Regression

Logarithmic Regression using Linear Model

Worked Out Example - Logarithmic Regression using Linear Model

Non-Linear Regression

Quadratic Regression

Worked Out Example - Quadratic Regression

Polynomial Regression

Worked Out Example - Polynomial Regression

Selecting a Model through Experimentation

Worked Out Example - Selecting a Model with demonstration

Guidelines for Selecting Model

Worked Out Example - Normal Distribution

Standard Error of Mean

Preview

Worked Out Example - Standard Error of Mean

Confidence Interval

Worked Out Example - Confidence Interval

Course Closure

Project

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Exercise File for Project Work

Polynomial Regression

Making Numerical Predictions for Time Series Data: Part 1 of 3 Non-Linear Regression

By: Partha Majumdar

4 minutes

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Making Numerical Predictions for Time Series Data: Part 1 of 3

Polynomial Regression

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