Basic course of 4 hours free
Completion certificate
AI tutor
Practical activities
Online and lifelong course
What will I learn?
Vhurai simba re stochastic processes nechidzidzo chedu chakadzama chakagadzirirwa nyanzvi dzemasvomhu. Pindai mukati memaitiro e parameter estimation akadai seMaximum Likelihood Estimation ne Method of Moments. Ongororai Geometric Brownian Motion nekushandiswa kwayo mukugadzira financial modeling. Iva nyanzvi mukuunganidza data, kugadzirisa, uye kuona kuti unganyatsoongorora nekududzira mhedzisiro yekufananidzira. Wana nzwisiso mukusiyana-siyana, kusava nechokwadi, uye zvazvinoreva pakusarudza kwe investment. Simudzira hunyanzvi hwako nekudzidza kunoshanda, kwemhando yepamusoro.
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Learning outcomes
Strengthen the development of the practical skills listed below
Iva nyanzvi muMLE: Gadzirisa parameter estimation neMaximum Likelihood Estimation.
Ongorora Kusiyana-siyana: Nzwisisa kusava nechokwadi uye kusiyana-siyana mu stochastic processes.
Fananidzira Mitengo yeStock: Gadzira nekududzira mafananidziro emitengo yemasheya zvinobudirira.
Wona Data: Gadzira magraphs nemachati anokwezva ekuratidzira data.
Shandisa GBM: Shandisa Geometric Brownian Motion mu financial modeling.