Course curriculum

  1. 01

    • Welcome

    • What will you learn in this course

    • Formula cheat sheet
  2. 02

    • Descriptive Statistics intro

    • Mean

    • Quiz:Mean

    • Median

    • Quiz: Median

    • Mode

    • Quiz: Mode

    • Mean vs Median

    • Skeweness

    • Skewness Practise

    • skewness solution

    • Range and IQR

    • Sample vs. population

    • Variance _ Standard Deviation

    • Quiz: Variance

    • Impact pf scaling _ shifting

    • Statistical Moments (+Screenshot attached)
  3. 03

    • What is a distribution

    • Normal distribution

    • Z-Scores

    • Solution - normal distribution

    • Exercise - Normal distribution

    • Quiz:Normal distribution
  4. 04

    • Probability theory Intro

    • Probability - Basics

    • Calculating probability

    • Simple Probability - Exercise 1

    • Simple Probability - Quick solution

    • The addition rule

    • Detailed solution - simple probability

    • Exercise - Addition rule

    • Quick solution - Addition rule

    • Addition rule - Solution

    • Multiplication rule

    • Rule of multiplication - exercise

    • Rule of multiplication - solution

    • Bayes Theorem

    • Bayes Example

    • Expected value

    • Exercise - expected value

    • Expected value - solution

    • Law of large numbers

    • Central Limit Theorem - Theory

    • Central Limit Theorem - Intuition

    • Central Limit Theorem Challenge

    • Practise Exercise - CLT

    • CLT Exercise 2 - Solution Update

    • Quiz: Bayes Theorem

    • Binomial distribution

    • Poisson distribution

    • Real life problems
  5. 05

    • Hypothesis intro

    • What is an hypothesis

    • Significance level and p-value

    • Type I and type II error

    • Confidence interval and margin of error

    • Excursion Calculating the sample size _ power

    • Performing the hypothesis test

    • Hypothesis test - exercise

    • Hypothesis test - solution

    • test and t-distribution

    • Hypothesis proportion testing_new

    • Important p-z pairs

    • Quiz 7:Hypothesis Testing
  6. 06

    • Regression intro

    • Linear Regression

    • Correlation coefficient

    • Correlation - exercise

    • Solution - Correlation

    • Exercise - Regression

    • Solution - Regression

    • Residual, MSE _ MAE

    • Exercise MSE _ MAE

    • Solution - MSE _ MAE

    • Coefficient of determination

    • Root mean square error_update3

    • RMSE - exercise

    • RMSE - Solution

    • Quiz 8: Regression
  7. 07

    • Multiple Linear Regression

    • overfitting

    • Polynomial regression

    • Logistic regression

    • Decision Trees

    • Regression Trees

    • Random Forests

    • Strategies to deal with missing data
  8. 08

    • ANOVA Basics

    • One way Anova

    • F-Distribution (attach F table pdf)

    • Two way - Sum of squares

    • Two way - Calculating the f-ratio _ conclusions

    • Quiz 9: ANOVA
  9. 09

    • Wrap up