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Linear Regression Course
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.
- 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.
from 4 to 360h flexible workload
certificate recognized by MEC
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.
Elevify advantages
Develop skills
- 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
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.What our students say
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