Please DownloadCourse Catalog to view detailed list of Topics covered under each Module
Introduction to R Programming
Working with R-Studio
Data Collection
Data Classification
Plotting Data
Data Cleansing
Factor Analysis
Data Imputation
Data Partitioning
Data Transformation
Laws of Dimensionality
Introduction to Probability
Types of Statistical Analysis
Descriptive Statistics
Probability Distributions
Normal Distribution
Central Limit Theorem
Population and Sample estimation
Hypothesis Testing
Types of error- Type-I/Type-II
One tail Test
Two Tail Test
Introduction to Anova
Correlation Analysis
Simple linear Regression
Logistic Regression
Dummy Coding
Interaction Variables
Diagnostic techniques
Logistic Regression
Qualitative Forecasting
Introduction to Time Series Forecasting
Naïve forecasting
Moving Averages forecasting
Exponential Smoothing
AR, MA, ARIMA models
Dealing with Seasonality
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