Statistics For Data Science Course
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.
Apoia's Unique Offerings
Develop skills
Enhance the development of the practical skills listed below
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
Workload: between 4 and 360 hours
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
Examples of chapters you can add
You'll 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.