5 Days Faculty Development Programme
“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

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

Lesson 5: Statistical and Data Analytics

  • Correlation Analysis
  • Regression Analysis
  • Hypothesis Testing

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

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