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Statistics For Data Science Course

Statistics For Data Science Course
from 4 to 360h flexible workload
certificate recognized by the MEC

What will I learn?

Tek control a di powa we deh ina data wid wi Statistik fi Data Science Kuos, we mek speshal fi Business Intelligence piple. Go dip ina deskriptiv statistik fi get di hang a ou fi mezuwa di miggle an di spread a data. Luk pan data struktcha, spot ting we look funny, an deal wid missing valyuable dem easy-easy. Bil prediction model yuhself weh yu yuhz liniya regression, an mek betta disizhns wid hypothesis testing an korelashan analisis. Get insait weh yu can yuhz an talk bout di rizolt dem gud-gud, all tru sum short, top-class lesson weh mek fi mek yu succeed.

Elevify advantages

Develop skills

  • Masta Deskriptiv Statistik: Analize data wid miggle valyuable an spread.
  • Explora Data Teknik: Spot ting we look funny an deal wid missing data proper.
  • Bil Prediktiv Model: Kriet an luk pan liniya regression model fi get insait.
  • Konyuk Hypothesis Testing: Mek op an andastan statistik tes rizolt.
  • Analize Korelashan: Andastan an yuhz korelashan ko-efishent ina data.

Suggested summary

Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.
Workload: between 4 and 360 hours

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