Prashambhuta / data_science

Learning from Harvardx - Data Science

Harvardx: Data Science through R

Learning from Harvardx - Data Science. Link

Breakdown

• Chapter 1: R-Basics - link

  • Use of dplyr, %>%, conditional statements, functions, libraries in R.

• Chapter 2: Data Visualisation - link

  • Working with ggplot, normal distribution, pnorm, qnorm, dnorm & gapminder dataset

• Chapter 3: Probability - link

  • Discrete probability - Monte Carlo simulation, Monty Hall problem.
  • Continuous probability, random numbers, Central Limite Theorem.
  • Extra - Big Short Assessment, Poisson Distribution.
  • Final Assessment - Generating premiums, prob of loss etc for a sample insurance company data.