2018 - Fundamental of Statistics using R (LIC-MFDS-1)


Description

Covering Basic concepts of statistics such as
interpreting data, probability distributions,
and time series.
Using R to solve practical data analysis
problems such as regression analysis and
feature selection

Content
  • Code for Lecture 01
  • Code for Lecture 02
  • Lecture 01 - R Essentials
  • Course Projects
  • Lecture 02 - Dataframes
  • Lecture 03 - Understanding_Relations
  • Homework 01 - Matrix operations in R
  • Homework 02 - Dataframes
  • Code for Lecture 03
  • Homework 03 - Harmonic mean
  • Lectures 04-05 - Probability and Distributions
  • Homework 04 - The bird and the trains problem
  • Recommended Textbook
  • Lecture 06 - STATISTICAL ESTIMATORS
  • Code for Lecture 06 - STATISTICAL ESTIMATORS
  • ISwR package description
  • fitdistrplus package description
  • fitdistrplus package article
  • Average of a function of random variable
  • Code for Lecture 07 - Distribution Fitting
  • Lecture 08 - Distribution Fitting - Part II
  • Code for Lecture 08
  • Lecture 09 - Hypothesis Testing
  • Code for Lecture 09
  • Lecture 07 - Distribution Fitting
  • Lecture 10 - Two Sample Testing
  • Lecture 11 - Correlation and Linear Regression
  • Lecture 12 - Time Series Models
  • Code for Lecture 11
  • Code for Arctic Sea Ice Analysis
  • Code for Global Surface Air Temperature Analysis
  • Lectures 13-14 - Logistic Regression and Survival Analysis
  • Code for Lecture 13
  • Code for Lecture 14
  • Recommended Article
  • Course Project Suggestions
Completion rules
  • All units must be completed