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Linear Regression Course
Become proficient in the basics of linear regression with our detailed course designed for Business Intelligence experts. You'll delve into data visualisation, learn methods for managing data discrepancies, and implement linear regression using Python. Evaluate the effectiveness of your models using R-squared values and regression coefficients, then improve your report writing skills to present data insights clearly. This course will enable you to draw practical insights and make data-backed recommendations, boosting your analytical skills.
- Become skilled in data visualisation: Generate and interpret informative scatter plots.
- Perform thorough data exploration: Spot, fix, and manage data discrepancies.
- Assess model performance: Understand R-squared and evaluate regression assumptions.
- Produce analytical reports: Present data findings in a clear, concise, and well-structured manner.
- Implement linear regression: Use Python to analyse data and interpret results.

from 4 to 360h flexible workload
certificate recognized by MEC
What will I learn?
Become proficient in the basics of linear regression with our detailed course designed for Business Intelligence experts. You'll delve into data visualisation, learn methods for managing data discrepancies, and implement linear regression using Python. Evaluate the effectiveness of your models using R-squared values and regression coefficients, then improve your report writing skills to present data insights clearly. This course will enable you to draw practical insights and make data-backed recommendations, boosting your analytical skills.
Elevify advantages
Develop skills
- Become skilled in data visualisation: Generate and interpret informative scatter plots.
- Perform thorough data exploration: Spot, fix, and manage data discrepancies.
- Assess model performance: Understand R-squared and evaluate regression assumptions.
- Produce analytical reports: Present data findings in a clear, concise, and well-structured manner.
- Implement linear regression: Use Python to analyse data and interpret results.
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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