# 15-21 Sept (FDP-SDAR2020)

Faculty Development Programme
On
“Statistical and Data Analytics with R” (FDP-SDAR2020)

Subject Expert- Dr. Praveen Parmar
(Master Trainer & Subject Expert) Key Learning Objectives-

• Understand the fundamentals of statistics
• Work with different types of data with R
• Calculate the measures of central tendency, asymmetry, and variability with R
• Calculate correlation and covariance with R
• Distinguish and work with different types of distribution with R
• Estimate confidence intervals with R
• Perform hypothesis testing with R
• Make data-driven decisions
• Understand the mechanics of regression analysis
• Carry out regression analysis with R

Course Curriculum:
Lesson 1 – Essentials of Statistics:

• Data and its Classifications
• Measures of Central Tendency
• Measures of Dispersion
• Correlation Analysis
• Regression Analysis
• Hypothesis Testing

Lesson 2 – Introduction of R and R Core

• R Basic Syntax
• R Data Types
• R Variables
• R Operators

Lesson 3: – Univariate Analysis (Descriptive Analysis) with R

• Measures of mean, median and mode
• Measures of quartiles, standard deviation, mean absolute deviation, variance, kurtosis, skewness, standard error etc.
• Finding and treatment of Missing Values and Outliers
• Shape of Data

Lesson 4: – Hypothesis Testing (Inferential Analysis) with R

• Parametric Test
• Non-parametric Test
• Correlation and Regression Analysis

Organized by-: Research Foundation of India, JHERF
Association With: Symbiosis University of Applied Sciences – Indore
Sponsored by: World Federation of Science and Technology (WFST), International Research Guide Federation (IRGF), ERF & EduAcademic