2 .Forecast Suggestion (Predictive Forecasting) – Elldy Academy

What is data analytics?

Data cleaning? Missing Values Duplicate Data Case Sensitivity Data Types Outliers

Quick Stats Basic Stats What Is an Outlier? How to Practice Basic Stats & Outliers

1. Variance 2. Standard Deviation (SD) 3. Coefficient of Variation (CV) 4 Practice Variance, Standard Deviation (SD), Coefficient of Variation (CV)

1. Skewness 2. Kurtosis

Correlation Why We Use Correlation? Pearson Correlation (r) Spearman Correlation (ρ or rₛ)

Trend Analysis 1. Time forecasting 2. Trend Break Detection 3 Moving Average

Grouping 1. Group By Sum 2. Group By Mean (Average) 3. Group By Count 4. Group By Minimum 5. Group By Maximum 6. Group By Median

AI Insights 1. Anomaly Detection 2 .Forecast Suggestion (Predictive Forecasting) 3 Correlation Warning 4 Trend Direction Prediction 5 Seasonality Detection 6 Top Driver / Influencer Analysis 7 Productivity Improvement Prediction 8 Business Risk Warnings

CERTIFICATION

chapter 9 :AI insights

2 .Forecast Suggestion (Predictive Forecasting)

Forecasting predicts future values based on historical data patterns such as trends and seasonality.

Example:
AI predicts that next month’s sales will be ₹8 lakh based on past trends.

Analysis Process:

Collect time-series data.
Detect trend and seasonal patterns.
Apply forecasting model (e.g., ARIMA).
Generate predicted values.
Provide business suggestion

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