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Linear Regression Course
Learn the important things about linear regression with our complete training, made special for people who work with Business Intelligence. You will dig deep into how to show data in pictures, learn how to fix data that doesn't match, and use Python to do linear regression. You will also learn how to check if your models are good using R-squared and regression coefficients, and improve how you write reports so you can explain data clearly. This training will help you understand data and give good advice based on what you find, making you a better analyst.
- Learn how to show data in pictures: Make and understand scatter plots that show data clearly.
- Explore data well: Find, fix, and handle data that is not consistent.
- Check if models are good: Understand R-squared and check if the assumptions of regression are correct.
- Write good analytical reports: Explain data clearly, shortly, and in a good order.
- Use linear regression: Use Python to analyze data and understand what it means.

from 4 to 360h flexible workload
certificate recognized by MEC
What will I learn?
Learn the important things about linear regression with our complete training, made special for people who work with Business Intelligence. You will dig deep into how to show data in pictures, learn how to fix data that doesn't match, and use Python to do linear regression. You will also learn how to check if your models are good using R-squared and regression coefficients, and improve how you write reports so you can explain data clearly. This training will help you understand data and give good advice based on what you find, making you a better analyst.
Elevify advantages
Develop skills
- Learn how to show data in pictures: Make and understand scatter plots that show data clearly.
- Explore data well: Find, fix, and handle data that is not consistent.
- Check if models are good: Understand R-squared and check if the assumptions of regression are correct.
- Write good analytical reports: Explain data clearly, shortly, and in a good order.
- Use linear regression: Use Python to analyze data and understand what it means.
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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