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Making Numerical Predictions for Time Series Data: Part 1 of 3
Welcome to the Course
Course Trailer
Preview
Introduction
Preview
Course Contents
Preview
Time Series Data
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
Bonus Videos
Finding Outliers
Degrees of Freedom
Normal Distribution
Preview
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
Preview
Exercise File for Project Work
Next Steps
Preview
About Me (Optional)
Preview
Selecting a Model through Experimentation
Making Numerical Predictions for Time Series Data: Part 1 of 3
Non-Linear Regression
By:
Partha Majumdar
40 minutes
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