Business analytics using R language

Statistics

  1. Statistics – Basic terminologies
  2. Sampling Techniques
  3. Frequency Distribution
  4. Measures of Central Tendency – Mean, Median, Mode
  5. Measures of dispersion – Range, Quartile Deviation
  6. Mean Deviation or Average Deviation
  7. Measures of Variance – Standard Deviation
  8. Measures of shape – Skew & kurtosis
  9. One way analysis of variance
  10. Calculating Anova with LibreOffice Calc
  11. Correlation and Pearson’s correlation coefficient
  12. Identifying the correlation coefficient using LibreOffice Calc
  13. Linear Regression
  14. Computing Regression with LibreOffice Calc
  15. Linear Programming
  16. Linear Programming with LibreOffice Calc Solver
  17. Linear Programming – Covering Model using LibreOffice Calc Solver

R Language

  1. R language, R studio – Installation
  2. Basic functions in R language
  3. Loading Data into R
  4. Package management in R
  5. Working with data types of R
  6. Exploring data files with R
  7. Looping with apply commands in R1
  8. Testing of Independence – Chi Square test – Manual, LibreOffice, R2
  9. Testing of difference – T test using R2
  10. Analysis of Variance ANOVA using R2
  11. Multiple ANOVA, Post hoc test using R
  12. Regression testing in R

  13. Regression (Explanatory) in R

1 – data preparation
2 – data analysis

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