R is the programming language that is widely used in Data Science especially when Statistical Analysis and its output is most important. It is having a wide range of packages for different analysis.

Anyone who wants to build  career in Data Science or Data Analytics, they must learn R programming. This course is designed for the beginners and intermediate learners who want to build their career in this field.

Schedule

• Date: 23rd to 28th Feb 2021
• Timing: 5:00 PM to 7:00 PM

Benefits

• Suitable for Faculties, Research Scholars and Students
• Experienced faculty
• Hands-on experience
• Email support after training
• E-Certificate (Upon clearing the exam)

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Content

1. 1. Introduction to R
   2. Data Structure and Data Types
   3. Import data from various sources
   4. Package Management
   5. Introduction of Statistics
   6. Data Visualization using Base Package and ggplot2 Package
   7. Testing of Hypothesis
      • Parametric Tests (t-test, paired t-test, ANOVA etc.)
      • Non Parametric Tests (Wilcoxon test, Kruskal Wallis Test etc.)
   8. Linear Regression
      • Simple Linear Regression
      • Multiple Linear Regression
   9. Logistic Regression
   10. Factor Analysis

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