Statistical Modeling Analyst For Business Course
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.
Apoia's Unique Features
Develop skills
Enhance your development of the practical skills listed below
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.
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.