Machine Learning Specialist Applied to BI Course
What will I learn?
Simudzira hunyanzvi hwako hwe Business Intelligence ne Nyanzvi yedu ye Muchina Kudzidzisa Yakaiswa ku BI Course. Tanga nekugadzirira data, uchinyatso dzidza kuchenesa, kushandura, uye maitiro ekuenzanisa. Ongorora kunzwisisa kwedata kuburikidza nekuongorora kwekutanga uye nzwisiso dze time series. Dzidza kufanotaura uchishandisa ARIMA, SARIMA, uye LSTM mamodheru, uye uwedzere hunyanzvi hwako mukudzidziswa kwemamodheru, kuongorora, uye kugadzirisa. Wana hunyanzvi muinjiniya yezvinhu uye mishumo, zvichikupa simba rekuita sarudzo dzinofambiswa nedata nechivimbo.
Apoia's Unique Features
Develop skills
Enhance your development of the practical skills listed below
Nyatso dzidza kuchenesa data: Iva nechokwadi che data rakaringana, rakavimbika rekuongorora.
Ita ongororo yekutanga: Zivisa nzwisiso uye maitiro ari mudata.
Shandisa mamodheru ekufanotaura: Fanoona maitiro emangwana nekurongeka.
Gadzirisa mashandiro emamodheru: Wedzera kurongeka kuburikidza nekugadzirisa hyperparameter.
Injiniya zvinhu zvinoenderana nenguva: Vhara kufanotaura kwemamodheru nehunyanzvi hwepamberi.
Suggested summary
Workload: between 4 and 360 hours
Before starting, you can modify the chapters and the workload.
- Choose which chapter to start with
- Add or remove chapters
- Increase or decrease the course workload
Examples of chapters you can add
You will be able to generate more chapters like the examples below
This is a free course, focused on personal and professional development. It is not equivalent to a technical, undergraduate, or postgraduate course, but offers practical and relevant knowledge for your professional journey.