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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.

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You will learn:

• Introduction to analytics
• Data understanding
• Descriptive statistics
• Introduction to some statistical terminologies and inferences
• Hypothesis Testing
• Z-Test, T-Test, Chi-Square test, ANOVA
• Parametric & Non-Parametric test
• Correlation & Regression
• Linear Regression
  • Case Study on Multiple Regression
• Logistic Regression
  • Case Study on Logistic Regression
• Cluster Analysis
  • Case Study on Cluster Analysis
• Factor Analysis
  • Case Study on Factor Analysis

Mode: Offline

Duration: 32 Hours

Part time/ Full time: Part Time

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