Starting off as a muggle that naïve to the Math's and Data Science world.

Time Series Analysis and Forecasting

Day 55

Objective of time series
Time Series Chart (Excel)
Time Series Chart (R)

Day 56

Time Series components
Stationary Test
Qualitative Model vs Quantitative Model
Tutorial 1

Day 57

Smoothing Techniques

  • – Moving Average
    Weighted Moving Average
    Exponential Moving Average
    Modified Moving Average
    Exponential Smoothing (SES)
    Holt’s Method (Double Exponential Smoothing)
    Linear / Quadratic / Exponential Trend
    Decomposition Model

Day 58

Smoothing Techniques (Con’t)

  • Regression on seasonality and trend
    Winter’s Exponential Smoothing

Day 59

Tutorial 2

Day 60

Measuring Predictive Accuracy

  • Average/Mean Error (ME/AE)
    Mean Percentage Error (MPE)
    Mean Absolute Error (MAE)
    Mean Absolute Percentage Error (MAPE)
    Root Mean Square Error (RMSE)
    Mean Absolute Scaled Error (MASE)
  • Data Partition
    Cross Validation (Time Series version)
    Tutorial 3

Day 61

Box Jenkins Methodology

Day 62

Box Jenkins Methodology (Con’t)

Day 63

Tutorial 4

Day 64

Volatile Model (ARCH & GARCH)

Day 65

Tutorial 5

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