module #1 Introduction to Quantitative Methods Averview of quantitative method, important in business decision making, and course goals
module #2 Descriptive Statistics Measures of central tendency, variability, and data visualization
module #3 Probability Theory Mataupu faavae o le avanoa, tulaga fa'aletonu, ma le Bayes theorem
module #4 Fua'iga Fa'ata'ita'i ma Fa'asoasoaina Fesuiaiga fa'apitoa ma fa'aauau pea, fa'asoa fa'alavelave, ma le tau fa'amoemoeina
module #5 Fa'ata'ita'iga ma Fa'ata'ita'iga Tufatufaina Ituaiga o metotia fa'ata'ita'iga, fa'asoa fa'ata'ita'iga, ma le fa'agata fa'atumauina o fa'ata'ita'iga
module #6 Fa'aliga Fa'atuatuaina Fausiaina ma fa'amatalaga o vaeluaga mautinoa mo le faitau aofa'i ma fa'atusatusaga
module #7 Su'ega Fa'atatau Matāupu fa'avae o su'ega fa'atatau, su'ega fuainumera, ma p-taua
module #8 Tasi-Fa'ata'ita'iga Su'ega Fa'atusa Su'ega fa'atatau e uiga i le faitau aofa'i ma fua fa'atatau e fa'aaoga ai su'ega tasi-fa'ata'ita'iga
module #9 Two-Sample Hypothesis Testing Su'ega fa'atatau e uiga i le eseesega i le va. lua faitau aofa'i o auala ma fua
module #10 ANOVA ma Regression Iloiloga Fa'atomuaga i le ANOVA ma le toe fa'afo'i su'esu'ega, e aofia ai le faigofie ma le tele o fa'asologa
module #11 Fa'ata'ita'iga Fausia ma Fa'amaoniga Fa'ata'ita'iga Faufautua, fa'amaonia, ma fa'ata'ita'iga i le solomuli. au'ili'iliga
module #12 Taimi Fa'asologa o Su'esu'ega Fa'atomuaga i su'esu'ega fa'asologa o taimi, e aofia ai su'esu'ega fa'asolo ma vaitau
module #13 Metotia Va'aiga Va'aiga lautele o metotia fa'ata'ita'i, e aofia ai averesi fe'avea'i, fa'alelei fa'atele, ma fa'ata'ita'iga ARIMA
module #14 Linear Programming Fa'atomuaga i polokalame fa'akomepiuta, e aofia ai metotia fa'akalafi ma auala faigofie
module #15 Polokalame Integer Fa'atomuaga i polokalame fa'akomupiuta, e aofia ai polokalame fa'akomepiuta binary ma le lala ma le fa'aogaina o auala
module #16 Polokalame fa'amalosi. Fa'atomuaga i polokalame fa'agaioiga, e aofia ai fa'aoga i su'esu'ega fa'agaioiga
module #17 Su'esu'ega Fa'ai'uga Fa'atomuaga i su'esu'ega fa'ai'uga, e aofia ai la'au fa'ai'uga ma su'esu'ega maaleale
module #18 Fa'ata'ita'iga Fa'ata'ita'iga Fa'atomuaga i fa'ata'ita'iga fa'atusa, e aofia ai fa'ata'ita'iga tu'ufa'atasi ma Monte Carlo fa'ata'ita'iga
module #19 Optimization Techniques Va'aiga lautele o metotia fa'atatau, e aofia ai le fa'asolosolo fa'asolosolo ma fa'ata'ita'iga fa'ata'ita'i
module #20 Fa'amatalaga Fa'amatalaga ma Fa'amatalaga Pisinisi Fa'atomuaga i fa'amatalaga eliina ma pisinisi atamai, e aofia ai le teuina o fa'amaumauga ma le OLAP
module #21 Prdictive Modeling Fa'atomuaga i fa'ata'ita'iga vavalo, e aofia ai le logistic regression ma fa'ai'uga la'au
module #22 Text Analytics Fa'atomuaga i au'ili'iliga o tusitusiga, e aofia ai su'esu'ega lagona ma fa'ata'ita'iga autu
module #23 Metotia Fa'atatau i Tupe Talosaga o metotia fa'afuainumera i mea tau tupe, e aofia ai le au'ili'iliga o tulaga lamatia ma le fa'avasegaina o faila
module #24 Metotia Fa'atatau i le Maketi Fa'aogaina o metotia fa'atusatusa i le maketiina, e aofia ai le fa'ata'ita'iina o fefa'ataua'iga fa'atau ma le vaeluaga o tagata fa'atau
module #25 Fa'ai'uga ma Fa'ai'uga Fuafuaina o isi laasaga ile Quantitative Methods for Business career
