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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



Discrete/Continuous



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



ANOVA MANOVA



Different king of Correlation s



Linear Regression



Multiple Regression



Logistic Regression



Cluster Analysis



Factor Analysis