What's Regression Modelling & Model Evaluation
Enhance your knowledge of the quantitative and computational realms of data science through the lens of regression analysis.
Best suited for analysts who want to develop prescriptive and predictive models based on existing datasets.
Effectively predict business outcomes with regression modelling & model evaluation.
This module will enable professionals to create models to simulate outcomes for better business decision-making.
Evaluate data relationships.
Regression Modelling & Model Evaluation estimates the relationship between a specific outcome and other values in data. This module aims to give you a thorough understanding of the regression modelling that describes the optimized combination of the data's known features to estimate a specific business outcome.
Pick and select best performing models.
The model evaluation assesses the uncertainty of the predicted outcomes. You will evaluate and compare regression models to estimate their uncertainty and choose the best performing model that can generalize well on unseen data. These skills will allow analysts to estimate a specific business outcome based on other known factors using statistical methods.
Real-world regression analysis.
The course is intended to give an overview of the theoretical concepts necessary to understand regression models and how to implement them. You will be given a fundamental grounding in the use of widely used tools in regression analysis.
Upon completion, participants should be able to demonstrate each of the following;
- Understand and conduct linear regression in Python.
- Understand linear regression results and evaluation metrics.
- Evaluate a linear regression model and select the best.
Regression Modelling and Evaluation is one of the modules under our Enterprise Data Analyst (EDA) program. EDA is a ten-day training program that provides analysts with advanced tools and skillsets required for efficient data analysis.
Each exam in this program certifies job-ready knowledge and skill. Those that pass all are recognized as being able to distil insight from data and communicate its value to a decision-maker. Enter the world of Data Professionals.