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Linear Regression Course
Tek time fi master di important ting dem bout linear regression widi dis kours ya, weh tailor-mek fi Business Intelligence professional dem. Dive deep inna data visualization, find out bout di way dem fi sort out data weh kinda mash up, an' learn how fi use Python fi do linear regression. Check out model dem widi R-squared an' regression coefficient, an' mek yuh report writing betta fi show data insight dem gud-gud. Dis kours ya give yu di power fi find real ting outta data an' mek recommendation weh base pon data, weh go mek yu betta dan betta wid analytics.
- Master data visualization: Learn how fi mek an' read scatter plot weh show yu di real ting.
- Conduct data exploration: Find, fix, an' sort out data weh kinda mash up.
- Evaluate models: Understand R-squared an' check if regression mek sense.
- Write analytical reports: Present data insight dem clear, short, an' inna order.
- Implement linear regression: Use Python fi check di data an' understand weh di output a tell yu.

from 4 to 360h flexible workload
certificate recognized by the MEC
What will I learn?
Tek time fi master di important ting dem bout linear regression widi dis kours ya, weh tailor-mek fi Business Intelligence professional dem. Dive deep inna data visualization, find out bout di way dem fi sort out data weh kinda mash up, an' learn how fi use Python fi do linear regression. Check out model dem widi R-squared an' regression coefficient, an' mek yuh report writing betta fi show data insight dem gud-gud. Dis kours ya give yu di power fi find real ting outta data an' mek recommendation weh base pon data, weh go mek yu betta dan betta wid analytics.
Elevify advantages
Develop skills
- Master data visualization: Learn how fi mek an' read scatter plot weh show yu di real ting.
- Conduct data exploration: Find, fix, an' sort out data weh kinda mash up.
- Evaluate models: Understand R-squared an' check if regression mek sense.
- Write analytical reports: Present data insight dem clear, short, an' inna order.
- Implement linear regression: Use Python fi check di data an' understand weh di output a tell yu.
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 are saying
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