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Business Analytics with SAS

Introduction to Data analytic

Need for Data analytic

Data Analytics use in different industries

Overview of Course Contents

Data Accessing, Data Managing,

Data analyzing, and

Data Presenting

Data types (Nominal, Ordinal, Interval and Ratio)

Descriptive statistics

Freq and Cross Tabular

Graphical Method

Exploring and Summary statistics

Introduction to some statistical terminologies and inferences

Population, Sample and Random variables

Point and Interval Estimations


Probability Distributions

Test of Hypothesis

Importance of formulating and validating the hypothesis

Formulation of hypothesis
(Null and alternate)

Testing association and differences

Statistical significance and test statistic

Z-Test, T-Test, Chi-Square


Different king of Correlation s

Linear Regression

Multiple Regression

Logistic Regression

Cluster Analysis

Factor Analysis