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Statistical Modeling Analyst For Business Course
Simudzira hunyanzvi hwako hweBusiness Intelligence neStatistical Modelling Analyst yeBhizinesi Khosi yedu. Nyura mukutora data, manejimendi, uye nzira dzekugadzirira (preprocessing) data kuti ugone kubata zvisizvo (outliers) uye kukosha kusipo (missing values) zvakanaka. Iva nyanzvi mukududzira modhi, tora nzwisiso inoshanda, uye ongorora nzira dzekuratidzira data (data visualization). Dzidza kudzidzisa nekuyera mamodhi uchishandisa MAE neRMSE, uye fungidzira uchishandisa linear regression ne ARIMA. Wedzera hunyanzvi hwako hwekupa mishumo (reporting skills) kuti ugozvitaura zvawakawana zvakajeka uye zvinobudirira. Joinha ikozvino kuti uwane ruzivo rwekudzidza rupfupi, rwemhando yepamusoro.
- Iva nyanzvi yekutora data: Shandisa nzira dzepamusoro dzekutora data rinoshanda.
- Dudzira mamodhi: Ongorora macoefficients kuti uwane nzwisiso yebhizinesi inoshanda.
- Ratidzira data: Gadzira zviratidzo zvinonakidza kuti uone maitiro uye mapatani.
- Gadzirira data (preprocess data): Ona zvisizvo (outliers) wobata kukosha kusipo (missing values) kuti uwane datasets dzakachena.
- Fungidzira nemamodhi: Shandisa linear regression ne ARIMA kune fungidziro dzakarurama.

from 4 to 360h flexible workload
certificate recognized by MEC
What will I learn?
Simudzira hunyanzvi hwako hweBusiness Intelligence neStatistical Modelling Analyst yeBhizinesi Khosi yedu. Nyura mukutora data, manejimendi, uye nzira dzekugadzirira (preprocessing) data kuti ugone kubata zvisizvo (outliers) uye kukosha kusipo (missing values) zvakanaka. Iva nyanzvi mukududzira modhi, tora nzwisiso inoshanda, uye ongorora nzira dzekuratidzira data (data visualization). Dzidza kudzidzisa nekuyera mamodhi uchishandisa MAE neRMSE, uye fungidzira uchishandisa linear regression ne ARIMA. Wedzera hunyanzvi hwako hwekupa mishumo (reporting skills) kuti ugozvitaura zvawakawana zvakajeka uye zvinobudirira. Joinha ikozvino kuti uwane ruzivo rwekudzidza rupfupi, rwemhando yepamusoro.
Elevify advantages
Develop skills
- Iva nyanzvi yekutora data: Shandisa nzira dzepamusoro dzekutora data rinoshanda.
- Dudzira mamodhi: Ongorora macoefficients kuti uwane nzwisiso yebhizinesi inoshanda.
- Ratidzira data: Gadzira zviratidzo zvinonakidza kuti uone maitiro uye mapatani.
- Gadzirira data (preprocess data): Ona zvisizvo (outliers) wobata kukosha kusipo (missing values) kuti uwane datasets dzakachena.
- Fungidzira nemamodhi: Shandisa linear regression ne ARIMA kune fungidziro dzakarurama.
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