Module 1 : Statistics for Data Science

• Descriptive Statistics
• Data Type
• Central tendency
• Data Dispersion
• Five Number Summary
• Data Distribution

Module 2 : Mathematics for Data Science

• Discrete Distributions
• Binomial Distribution
• Poisson Distribution
• Continuous Distributions
• Uniform Distributions
• Normal Distributions
• Exponential Distributions

Module 3 : Pre-processing data for Ml/AI

• Normality with PP plot QQ plt
• Chi-square, Test, Ztest, Ftest
• Standardization
• Scaling data with outliers
• Standard Scaler ,Min Max Scaler
• Log transformation
• Sqrt transformation
• PCA Dimension reduction
• KNN Euclidean Distance

Module 4: Visualization Tableau Python

• Introduction to Data Visualization
• Introduction to Tableau
• Basic Charts and Dashboard
• Visual Analytics: Storytelling through
• Bar chart, Pie chart, Scatter plot Tree
• Bubble chart, Line chart
• Histogram Boxplot

Module 5: Machine Learning /AI

Predictive Functional Models

    • Liner Regression,
    • Dummy Regression,
    • Transformed Regression,
    • Stepwise, regression
    • Backward, Forward Regression

Classification Models

    • Logistics Regression,
    • OrdinalRegression, Multinomial Regression,
    • Random Forestry,
    • Naive Bayes,KNN,SVM
    • PCA Dimension reduction
    • Cluster and profiling

Module 6: Artificial Intellegence

    •  ANN,
    • CNN,
    • RNN
    • Text Analytics
    • Sentiment Analysis

Module 7: Time series & Forecasting

• Naive model
• Moving Averages, Weighted Moving Averages
• Simple Exponential Smoothing
• Holt’s Exponential Smoothing
• Holt-Winters Exponential Smoothing
• Additive Models ,Multiplicative Seasonal Models
• ARIMA Models
• ARCH models
• GARCH models
• SARIMA

Module 8: Model Validation

• Confusion Matrices
• APE, MAPE, RMSEAIC BIC AICCROC, AUC,
• Recall, precision specificity sensitivity ,
• Classification Misclassification

Module 9: Business Analytics/Data Mining

• Association Mining, Market
• Basket Analysis
• Recommendation System
• Decision Tree, CHAID, CART,