Reachout Analytics

## Data Science

Learn from IIMC,ISI Alumini And  Industry Experts.

Learn from IIMC,ISI Alumini  Industry Experts with hands-on exercises & Project work. trained  on Python-R-SAS-SPSS-DataIKU-Tabluea -Qlik sence tools

##### 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
• Recommendation System
• Decision Tree, CHAID, CART,             