Linear Regression Course
What will I learn?
Itseng ka botlalo dintlha tsa botlhokwa tsa kgokagano e e sekameng ka thuto ya rona e e tseneletseng e e diretsweng bomankge ba Botsuolodi jwa Dikgwebo (Business Intelligence). Ithuteng ka botlalo ka go supa data ka setshwantsho, sekasekang mekgwa ya go samagana le ditlhotlhomiso tse di sa tlhomamang, mme ithuteng go diragatsa kgokagano e e sekameng mo puong ya Python. Sekasekang mefuta ya kgokagano ka go dirisa R-squared le dikgonagalo tsa kgokagano, mme tokafatsang bokgoni jwa lona jwa go kwala dipego go tlhagisa dintlha tse di bonalang sentle mo dateng. Thuto e, e le neela thata ya go bona dintlha tse di ka diragadiwang le go dira dikgakololo tse di ikaegileng ka data, e e oketsang bokgoni jwa lona jwa go sekaseka.
Apoia's Unique Advantages
Develop skills
Enhance the development of the practical skills listed below
Itseng ka botlalo go supa data ka setshwantsho: Tlhama le go tlhaloganya ditshwantsho tsa kgokagano tse di nang le dintlha tse di bonalang.
Tsamaisang patlisiso ya data: Supang, baakanyang, le go samagana le ditlhotlhomiso tsa data tse di sa tlhomamang.
Sekasekang mefuta ya kgokagano: Tlhaloganyang R-squared mme le sekaseke ditlhaloso tsa kgokagano.
Kwalang dipego tsa tlhotlhomiso: Tlhagisang dintlha tse di bonalang sentle, tse di khutshwane, le tse di rulagantsweng sentle.
Diragatsang kgokagano e e sekameng: Dirisang Python go sekaseka le go tlhaloganya dipoelo.
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’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.