Probability And Statistics Fundamentals

  1. 1.Why Probability & Statistics Matter for Programmers
  2. 2.Sample Spaces, Events & Basic Probability Rules
  3. 3.Conditional Probability & Independence
  4. 4.Bayes' Theorem
  5. 5.Random Variables & Expected Value
  6. 6.The Binomial Distribution
  7. 7.The Poisson Distribution
  8. 8.The Normal Distribution & the Central Limit Theorem
  9. 9.Descriptive Statistics — Mean, Median, Variance & Standard Deviation
  10. 10.Capstone — Probability & Statistics in Practice
Read as One Page
Probability & Statistics Fundamentals — Complete Course
PDF Downloads
Probability_Statistics_Fundamentals_Course.pdf
Exercise Solutions
probstat1-1_challenge1.txtprobstat1-1_challenge2.txtprobstat1-1_challenge3.txtprobstat1-2_challenge1.txtprobstat1-2_challenge2.txtprobstat1-2_challenge3.txtprobstat1-3_challenge1.txtprobstat1-3_challenge2.txtprobstat1-3_challenge3.txtprobstat1-4_challenge1.txtprobstat1-4_challenge2.txtprobstat1-4_challenge3.txtprobstat1-5_challenge1.txtprobstat1-5_challenge2.txtprobstat1-5_challenge3.txtprobstat1-6_challenge1.txtprobstat1-6_challenge2.txtprobstat1-6_challenge3.txtprobstat1-7_challenge1.txtprobstat1-7_challenge2.txtprobstat1-7_challenge3.txtprobstat1-8_challenge1.txtprobstat1-8_challenge2.txtprobstat1-8_challenge3.txtprobstat1-9_challenge1.txtprobstat1-9_challenge2.txtprobstat1-9_challenge3.txtprobstat1-10_challenge1.txtprobstat1-10_challenge2.txtprobstat1-10_challenge3.txt