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Linear Regression Course
Master the fundamentals of linear regression with our comprehensive course, designed specifically for Business Intelligence professionals in India. Delve into data visualisation techniques, learn how to manage data discrepancies, and implement linear regression using Python. Evaluate model performance using R-squared and regression coefficients, and refine your report writing skills to effectively communicate data insights. This course will equip you with the skills to extract actionable insights and make informed, data-driven recommendations, enhancing your analytical capabilities.
- Master data visualisation: Develop and interpret informative scatter plots.
- Conduct data exploration: Identify, rectify, and manage inconsistencies within datasets.
- Evaluate models: Understand R-squared and assess the underlying assumptions of regression models.
- Write analytical reports: Present data insights in a clear, concise, and well-structured manner.
- Implement linear regression: Use Python to analyse data and interpret the resulting output.

flexible workload of 4 to 360h
certificate recognized by MEC
What will I learn?
Master the fundamentals of linear regression with our comprehensive course, designed specifically for Business Intelligence professionals in India. Delve into data visualisation techniques, learn how to manage data discrepancies, and implement linear regression using Python. Evaluate model performance using R-squared and regression coefficients, and refine your report writing skills to effectively communicate data insights. This course will equip you with the skills to extract actionable insights and make informed, data-driven recommendations, enhancing your analytical capabilities.
Elevify advantages
Develop skills
- Master data visualisation: Develop and interpret informative scatter plots.
- Conduct data exploration: Identify, rectify, and manage inconsistencies within datasets.
- Evaluate models: Understand R-squared and assess the underlying assumptions of regression models.
- Write analytical reports: Present data insights in a clear, concise, and well-structured manner.
- Implement linear regression: Use Python to analyse data and interpret the resulting output.
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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