Statistics For Data Science And Business Analysis Course
What will I learn?
Ggulawo amaanyi ga data n'ekibiina kyaffe ekya Eby'ekibalangulo ku Bwa Data Science n'Okunoonyereza mu Bizinensi, ekikolebwakwo eri abakugu mu by'okutegeera ebiri mu Bizinensi. Weetabe mu misomo egikulu nga correlation ne regression analysis, okusalawo nga tukozesa data, n'okuwa lipoota mu ngeri entuufu. Yiga obukugu mu kunoonyereza data, engeri z'ekibalangulo, n'okugezesa hypothesis okwongera ku nteekateeka ennungi n'ebivaamu mu bizinensi. Funayo obukugu obulina omugaso mu time series analysis n'okulaga data mu bifaananyi, ekikusobozesa okutegeeza ensonga mu ngeri ennyonnyofu n'okukulembera okusalawo okw'omugaso.
Apoia's Unique Features
Develop skills
Strengthen the development of the practical skills listed below
Yiga regression: Noonyereza ku nkolagana nga okokozesa linear ne multiple regression techniques.
Okusalawo okw'entegeera: Kozesa data okukulembera okusalawo okw'entegeera mu bizinensi mu ngeri entuufu.
Okunoonyereza data: Longoosa, teekateeka, era olage data mu bifaananyi okusobola okunoonyereza mu ngeri ennyonnyofu.
Okuwa lipoota mu ngeri entuufu: Kola lipoota ezikwatiriza era ezikulemberwa data eri abantu abakulu.
Okugezesa hypothesis: Teekawo era onyonyole hypothesis z'ekibalangulo mu bwesige.
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 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.