Analytics course introduces
Duration: 48 Hours
The Analytics course introduces participants to fundamental concepts of statistics, and guides them all the way to building predictive models using multiple linear and logistic regressions. All the topics are explained with the help of hands-on practice with live case studies and data, enabling a deeper understanding of the underlying concepts of analytics.
Module 1: Introduction to Analytics
Overview
Need for analytics
Analytics use in different industries
Challenges in adoption of analytics
Module 2: Descriptive Statistics
Overview
Understanding different outputs
Tabular & Graphical Method
Summary statistics
Module 3: Statistical Testing
Hypothesis Testing
Z-Test, T-Test, Chi-Square test, ANOVA
Parametric & Non-Parametric test
Module 4: Regression & Correlation
Overview
How to do regression
Types of regression – logistic and linear
Case Studies
Module 5: Modeling Techniques
Overview
Concepts of Segmentation
Usage of Segmentation
Cluster Analysis
Factor Analysis
The Analytics course introduces participants to fundamental concepts of statistics, and guides them all the way to building predictive models using multiple linear and logistic regressions. All the topics are explained with the help of hands-on practice with live case studies and data, enabling a deeper understanding of the underlying concepts of analytics.
Module 1: Introduction to Analytics
Overview
Need for analytics
Analytics use in different industries
Challenges in adoption of analytics
Module 2: Descriptive Statistics
Overview
Understanding different outputs
Tabular & Graphical Method
Summary statistics
Module 3: Statistical Testing
Hypothesis Testing
Z-Test, T-Test, Chi-Square test, ANOVA
Parametric & Non-Parametric test
Module 4: Regression & Correlation
Overview
How to do regression
Types of regression – logistic and linear
Case Studies
Module 5: Modeling Techniques
Overview
Concepts of Segmentation
Usage of Segmentation
Cluster Analysis
Factor Analysis
Analytics course introduces
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