Data Visualization in R :

Topics :

• Creating Bar Plot
• Creating Histogram
• Creating Scatter plot
• Creating Boxplot
• Creating Pie plot
• Adding Legends and labels to plots
• Formatting the plot using par parameters
• Create all the above plot for more effective Visualization in R using ggplot2

 Descriptive statistics with R

• • Understanding Types of Data
  • Types of Descriptive Statistics?
  • Measure of Central Tendency – Mean, Median, Mode
  • Measure of Spread / Dispersion – Range, Variance, standard deviation
  • Skewness
  • Kurtosis
  • Correlation

Probability and statistics with R

Topics

• Probability and Central Limit Theorem
• Exploratory Data Analysis
• Normal Distribution
• Understanding the sampling and it importance
• Different type of Sampling Method
• Importance of Hypothesis Testing in Business
• Basics of Hypothesis Testing
• Null and Alternate Hypothesis
• Understanding Types of Errors – Type I and Type II erroes
• Confidence Interval and Confidence level
• Z-Test
• P Value
• Degree of Freedom

 statistical modelling using R:

Topic: Linear and multiple regression 

• Introduction to Linear Regression & multiple regression
• Linear Regression with Multiple Variables
• Assumptions of Linear Regression
• Disadvantage of Linear Models
• Case Study on Linear regression Model using R
• Interpretation of Model Outputs
• Evaluation Metric for Linear regression – Mean absolute error, MAPE etc

1. B) Topic: Logistic Regression

• Introduction to Logistic Regression
• Why Logistic Regression
• Odds Ratio
• Advantages and Disadvantages of Logistic Regression
• Case Study on Logistic regression Model using R
• Evaluation Metric for Logistic regression – Confusion Matrix, ROC and AUC

CDICS:   R Programming For STDM, ADAM & TLF

                                                        &

                           Real- Time Project: (Dermatology & Oncology) Therapeutic Study

• Parallel Computation
• Safety-Listings
• Safety-Tables
• Efficacy-Tables
• Safety & Efficacy Figures/Graphs
• Safety-ADAM Data Sets
• Efficacy-ADAM Data Sets
• Safety-SDTM Data Sets
• Efficacy-SDTM Data Sets

• How to read CRF raw data (SAS7bdat, xlsx, SQL table) using R studio packages such as

Sqldf.

• How to create STDM & ADAM data output in xpt files by using R studio packages such as dplyr, filter, mutate.
• Ind-depth practical understating of most widely used R packages for STDM & ADAM

Such as dplyr, plyr, tidyr.

• How to create table, listing, figure and write output in different format such as rtf, pdf, html & word using R studio most advanced packages such as flextable, officer magrittr knitr & ggplot2.